summer research program computer science

Carnegie Mellon University School of Computer Science

• Summer Research Opportunities

Research Experiences for Undergraduates

Research experience can be life-changing for undergraduate students, but it isn't always easy to find summer opportunities that are both educational and financially possible. The School of Computer Science aims to solve that problem by offering the following intensive summer programs on the Carnegie Mellon campus. Most programs offer financial support, as well as out-the-classroom opportunities for enrichment and networking.

SCS Outreach Hubs

• CS Pathways

Human-Computer Interaction Institute REU

The Summer Research Program in the Human-Computer Interaction Institute (HCII) is an opportunity for undergraduate students to spend 10 weeks in the HCII conducting cutting-edge research on meaningful projects with some of the world’s best researchers. This work will have the potential for publication and significant impact on the future of the field. Research projects could include smart classroom sensors, educational games, accessibility, online health support groups, smartphone privacy tools and the future of work.

Application Deadline:  Jan. 16, 2023 at 11:59 p.m. EST

Included:  Stipend to cover travel, lodging, meals and other relevant expenses

Research Experiences for Undergraduates in Software Engineering (REUSE) allows undergraduate students to spend a summer working with some of the world's leading software engineering faculty researchers. Project areas range from automated bug repair to usable programming tools. Some of our past REUSE students have gone on to top Ph.D. programs in computer science such as those at CMU, Berkeley and the University of Washington.

Application Deadline: Feb. 1, 2023

Included: $6,000 stipend, $1,400 meal allowance, plus travel and on-campus housing

Robotics Institute Summer Scholars

Launched in 2006, the Robotics Institute Summer Scholars (RISS) program provides opportunities for students from across the country and around the world to conduct research with CMU leaders in robotics and artificial intelligence. Scholars build knowledge, skills and a network that will open doors for years to come. Renowned scientists and thought leaders in autonomy, computer vision, field robotics and artificial intelligence PLUS partners across the university in student development, service learning and student affairs anchor the scholar experience.

RISS is a community that cares. It fosters a diverse and inclusive working and learning environment where all students are actively welcomed, included and supported. We work to create an atmosphere where students can explore and develop their identities as scientists. This is the first step in a mentored journey with the CMU community. The program has hosted students from more than 50 home countries and hundreds of home institutions, and participants have ranged from those with no research experience to more advanced students. The RISS community is committed to actively supporting the success of the summer scholars during their research immersion and beyond. Summer scholars present and publish their research results. 

Application Deadline: Jan. 15, 2023 at 12 p.m.

Included: Scholarships range from $6,000 to  $8,000

Computer Science

Research internship program.

The CS Research Internship Program at Yale provides applicants with a unique opportunity to conduct cutting-edge research with leading researchers in the field. Interns will get a chance to not only grow their knowledge in their area of interest, but also obtain hands-on experience working on projects that have real-world impact. We welcome applications from all students that are currently pursuing a bachelor, master or PhD degree in Computer Science or related fields.

Q: Can I contact a faculty member directly? A: Yes of course!

Q: What will happen if I apply here? A: A committee of faculty and staff members review applications regularly and try to match applicants with faculty members. If there is a match, the faculty member(s) will contact you directly to follow up.

Q: Is there a deadline for applications? A: While we review applications as we receive them, we encourage you to submit your application by December 15th if you are interested in opportunities in the coming summer.

Q: Where can I find information about potential internship projects? A: Many faculty members provide information about their research on their personal or lab websites. We do not maintain a list of potential projects at this point.

Q: Does the internship require physical presence in New Haven, CT? A: It depends on the research project. Many CS research projects can be perfectly carried out remotely. We have had several successful virtual internships in the past two years, especially since the start of the COVID-19 pandemic.

Q: Does the internship pay? A: It depends on the research projects. A full-time internship can receive a stipend commensurate with that of doctoral students.

Q: Does the program consider International Students? A: Yes! We have had international student interns both physically (pre-pandemic) and virtually (post-pandemic).

Q: Does the program sponsor the necessary visa for an international student to physically visit Yale? A: We used to do it before the pandemic. However, due to the COVID-19 pandemic, Yale has stopped sponsoring visas for visiting international students. This may change as the pandemic situation improves, but only virtual/remote internships are possible for international students at this point.

Q: Does the program cover my travel cost? A: It depends on the research projects.

Q: Does the internship provide health benefits or housing? A: No, you will be responsible for both.

Q: If I have applied here but not heard from you, what should I do? A: In general, if you have not heard from any Yale CS faculty member, that means a match has not been found yet. If it has been six months or there is any significant change in your credentials, you are welcome to apply again. You should also feel free to directly contact faculty members that you are interested in working with.

Still have questions? Reach out to us at cs-sip [AT] cs [DOT] yale [DOT] edu!

Summer Research Program

In the Illinois Computer Science Summer Research Program ( SRP ), students work with Illinois faculty mentors and graduate students over the summer to get an introduction to computer science research. This is an outstanding opportunity for aspiring scientists and faculty to learn from leading experts in computer science.  

The Illinois CS SRP activities include networking and social events, weekly lunch and learn seminars covering topics such as research skills, presentation skills, and information about graduate school, including applications, career opportunities, etc.  The experience is capped off with an end-of-summer research symposium, allowing participants to share their work.

SRP Important Information

Learn more about program dates, format, and funding for the summer research program.

The SRP will take place from May 28 to July 28, 2024.

The SRP will take place in a hybrid format with both in-person and online offerings.

Funding, including rate of pay and number of hours of work, is determined on an individual basis between the participant and faculty research mentor after the student has been accepted to the program and matched with a faculty mentor.

Application

Applications are accepted on a rolling basis.  However, students are encouraged to apply as soon as possible.

Application Materials:

• Name and contact information of one professional reference. This professional reference should be someone who can speak to your academic and/or research skills. This person does not need to be a CS professor. 
• Current CV or Resume
• Personal Statement: a 300-500 word statement of interest describing your personal goals and how you believe this research experience could help you achieve those goals.
• Research Statement: describe any prior research experiences you may have had (not required) and what topics you would like to research this summer. 
• Bio: a brief 150-word bio describing your academic and research background

Upcoming Summer Research Events

CS Summer Research Program Lunch and Learn: Presentation and Other Verbal Communication Skills

Hybrid (In-person at Siebel Center, room 2405 and online at zoom link)

CS Summer Research Program Lunch and Learn: Preparing a Competitive Application for Graduate School and External Fellowships

CS Summer Research Program Poster Session

Siebel Atrium

No events found

Go to Calendars

Contact: [email protected]

Office of Undergraduate Research

Summer Research Programs

• Career Opportunities
• Grand Rounds Archives
• News & Events
• Publications
• Research Areas
• Research Resources
• Overview, Tracks and Degrees
• Degree Requirements
• Applications and Admissions
• BMI Fellowship in Clinical Informatics
• Research Experiences for Undergraduates
• CSIRE for K12 Students
• Radiology Informatics Micro-credential
• Educational Outreach Programs
• SBU-BMI Github
• Google Summer of Code

Computer Science and Informatics Summer Research Experience Program

Computer Science and Informatics Summer Research Experience Program (CSIRE) is a 6-week research experience program on computer science and informatics for high school students. The program assumes the participant already has good skills on programming or data analytics. Since launching in 2017, the program has become increasingly competitive. If you are looking for a program to get familiar with a topic of interest or to learn fundamental skills, please visit our  Pre-College Summer Programs .

CSIRE 2024 . 

Please contact Dr. Wang (fusheng . wang at stonybrook . edu)   if you have questions.

Introduction

CSIRE is a summer program to provide opportunities for high school students to participate in research and motivate the students to pursue a career in the field.

The program is held jointly by the Department of Biomedical Informatics and the Department of Computer Science at Stony Brook University. Each student will be working in a lab mentored by a faculty or a Ph.D. student on a research project. Students will also visit labs and attend seminars introducing cutting edge research in both computer science and informatics.  The students will present their work to their classmates and mentors during the middle and the end of the program. Programming background is required. 

Past Events

CSIRE 2017:  For the program in 2017, please read the news " Computer Science, Bioinformatics Faculty Lead Summer Program for K-12 Students ". You can also see pictures of CSIRE 2017 . One of the students Kavya Kopparapu, a member of the Simons Summer program and co-mentored with CSIRE, is among the finalists of    Regeneron Science Talent Search . ( News: Three SBU-Mentored High School Seniors Are Finalists in Regeneron Competition ; CNN news )

CSIRE 2018 News: What did you do this summer ?

CSIRE 2019 News:  High School Students Enjoyed Their Summer Internship at BMI

CSIRE 2020 was canceled due to the COVID-19 pandemic. 

CSIRE 2021 was virtual. 

CSIRE 2022 News: CSIRE: Cultivating High School Researchers

Office of Undergraduate Research

Undergraduate Research Opportunities

Illinois computer science summer research program (srp).

In the Illinois Computer Science Summer Research Program ( SRP ), students work with Illinois faculty mentors and graduate students over the summer to get an introduction to computer science research. This is an outstanding opportunity for aspiring scientists and faculty to learn from leading experts in computer science.  

The Illinois CS SRP activities include networking and social events, weekly lunch and learn seminars covering topics such as research skills, presentation skills, information about graduate school, including applications, career opportunities, etc.  The experience is capped off with an end-of-summer research symposium providing participants an opportunity to share their work.

Funding, including rate of pay and number of hours of work, is determined on an individual basis between the participant and faculty research mentor after the student has been accepted to the program and matched with a faculty mentor.

Student Summer Research Fellowship Program

The Student Summer Research Fellowship Program administered under the Computer Science Department aims at recruiting a group of highly motivated undergraduate students from our partner universities (see list below) to join the faculty-led research groups and conduct research at UChicago in the summer (July and August).

During the 8-week program period, each student will spend their work time with one faculty member and their research team to conduct research. In addition, the program will organize group-based team building activities, workshops, group projects etc. that will expose students to the larger UChicago academic community.

More Info (PDF)

Partner Universities:

• Fudan University
• Keio University
• National Taiwan University
• Peking University
• The Chinese University of Hong Kong, ShenZhen
• The University of Electro-Communications
• The University of Science & Technology of China
• The University of Tsukuba
• Tsinghua University
• Zhejiang University

Program Contact:

Program Support : Nita Yack ([email protected] )

Faculty Lead : Shan Lu ([email protected])

Application

During the application season, applicants will submit their application online via the UChicago application system:  https://apply-psd.uchicago.edu/apply/ndv/

The site is open now for the 2024 summer visit application!

At this application site, please select “Non-Degree” and then “Computer Science Student Summer Research Fellowship” as the program.

Application materials should include:

• Candidate Statement (word limit: 300)
• Undergraduate Transcript [For Master’s students, both undergraduate and master’s transcripts]
• English Requirement (TOEFL/IELTS report, or  UChicago AEPA ) **Based on the policy for NDVS at the University , to meet the English requirement, we recognize three types of test: TOEFL iBT Speaking (18 or better), IELTS (Speaking score of 6.0 or better), or AEPA (“Basic” level or above).
• [Only for Master’s students] One Recommendation Letter (Ideally from a Faculty Supervisor / Research Mentor)

Program Timeline

Deadline : February 28th, 2024

Faculty Interview & Release Admissions Results : before mid-April, 2024

Student Attendance Confirmation Due : end of April, 2024

Program Period : July 1st, 2024 —August 23rd, 2024

Frequently Asked Questions

Will you tell me if you have successfully received my application material?

After you submit your materials electronically, you will receive a confirmation email. Please do not send inquiries to the Admissions Office requesting status of your application. If your application is incomplete, you will be notified directly. (Watch your email for notifications.)

When can I expect to receive an admission decision?

The admission results will typically be released in April. We will send out the admissions result electronically via email. If you have not heard from us after April 10th, please email us directly.

Why was my application denied? Can I be reconsidered?

We assess a number of factors when evaluating applications to the summer scholar program. Academic background, research experience, test scores, motivations for participating the program and essays all play an equal role in consideration. For international students, English language skills are also assessed. There is no one factor that determines admission. At this time, we are not able to provide specific feedback on your application and all admission decisions are final.

Is the program open to undergraduate or graduate students?

For now, this program only opens to undergraduate students (and master students occasionally) from certain partner universities.

Can I work while being a summer student?

You will not be able to work or get paid during the program period.

What is the language requirement for applying the program?  If I do not have TOEFL/ IELTS score, will I be able to apply for the program?

International applicants may submit either the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) to meet the English language requirement. If you are not able to provide a TOEFL or IELTS score report, you have to take the Academic English Proficiency Assessment (AEPA).

Can I submit SAT, AP or A-Level results instead of TOEFL/IELTS to prove my English proficiency?

No. You must have an official TOEFL or IELTS score sent directly to the University of Chicago, or you can take the AEPA offered by UChicago.

What is the AEPA?

The Academic English Proficiency Assessment (AEPA) is an authentic, highly structured English conversation between a prospective University of Chicago student and an English language specialist at the University of Chicago. An AEPA typically lasts 15 to 30 minutes and includes an academic role play. You can access more information relating to AEPA here .

How should I prepare for the AEPA?

Due to the spontaneous and customized nature of the AEPA, there is no official way to study for an AEPA. The language specialist’s goal is to elicit the test taker’s best possible sample of spoken English in academic context. The language specialist is interested in overall, functional speaking ability rather than only accuracy and grammar.

Can I take the AEPA test after I got admitted?

If you will have a qualified TOEFL score, you do not need to take the AEPA test. Otherwise, you have to get a passing AEPA test score to join the summer program. In the past, some students chose to take the test after getting “conditionally admitted” (conditioned on passing AEPA test). It could work out, but it may delay your Visa application process.

Research Opportunities

Undergraduate research in computer science.

For specific information on undergraduate research opportunities in Computer Science visit  https://csadvising.seas.harvard.edu/research/ .

General Information about Undergraduate Research

Opportunities for undergraduates to conduct research in engineering, the applied sciences, and in related fields abound at Harvard. As part of your coursework, or perhaps as part of individual research opportunities working with professors, you will have the chance to  take part in or participate in  some extraordinary projects covering topics ranging from bioengineering to cryptography to environmental engineering.

Our dedicated undergraduate research facilities and Active Learning Labs also provide opportunities for students to engage in hands-on learning. We encourage undergraduates from all relevant concentrations to tackle projects during the academic year and/or over the summer.

Keep in mind, many students also pursue summer research at private companies and labs as well as at government institutions like the National Institutes of Health.

If you have any questions, please contact or stop by the Office of Academic Programs, located in the Science and Engineering Complex, Room 1.101, in Allston.

Research FAQs

The SEAS website has a wealth of information on the variety of cross-disciplinary research taking place at SEAS. You can view the concentrations available at SEAS here , as well as the research areas that faculty in these concentrations participate in. Note that many research areas span multiple disciplines; participating in undergraduate research is an excellent way to expand what you learn beyond the content of the courses in your concentration! 

To view which specific faculty conduct research in each area, check out the All Research Areas section of the website. You can also find a helpful visualization tool to show you the research interests of all the faculty at SEAS, or you can filter the faculty directory by specific research interests. Many faculty’s directory entry will have a link to their lab’s website, where you can explore the various research projects going on in their lab.

The Centers & Initiatives page shows the many Harvard research centers that SEAS faculty are members of (some based at SEAS, some based in other departments at Harvard). 

Beyond the website, there are plenty of research seminars and colloquia happening all year long that you can attend to help you figure out what exactly you are interested in. Keep an eye on the calendar at https://events.seas.harvard.edu ! 

There are several events that are designed specifically for helping undergraduate students get involved with research at SEAS, such as the Undergraduate Research Open House and Research Lightning Talks . This event runs every fall in early November and is a great opportunity to talk to representatives from research labs all over SEAS. You can find recordings from last year’s Open House on the SEAS Undergraduate Research Canvas site .

Most of our faculty have indicated that curiosity, professionalism, commitment and an open mind are paramount. Good communication skills, in particular those that align with being professional are critical. These skills include communicating early with your mentor if you are going to be late to or miss a meeting, or reaching out for help if you are struggling to figure something out. Good writing skills and math (calculus in particular) are usually helpful, and if you have programming experience that may be a plus for many groups. So try to take your math and programming courses early (first year) including at least one introductory concentration class, as those would also add to your repertoire of useful skills.

Adapted from the Life Sciences Research FAQs

Start by introducing yourself and the purpose of your inquiry (e.g. you’d like to speak about summer research opportunities in their lab). Next, mention specific aspects of their research and state why they interest you (this requires some background research on your part). Your introduction will be stronger if you convey not only some knowledge of the lab’s scientific goals, but also a genuine interest in their research area and technical approaches.

In the next paragraph tell them about yourself, what your goals are and why you want to do research with their group. Describe previous research experience (if you have any). Previous experience is, of course, not required for joining many research groups, but it can be helpful. Many undergraduates have not had much if any previous experience; professors are looking for students who are highly motivated to learn, curious and dependable.

Finally, give a timeline of your expected start date, how many hours per week you can devote during the academic term, as well as your summer plans.

Most faculty will respond to your email if it is clear that you are genuinely interested in their research and have not simply sent out a generic email. If you don’t receive a response within 7-10 days, don’t be afraid to follow up with another email. Faculty are often busy and receive a lot of emails, so be patient.

There are several ways that undergraduate research can be funded at SEAS. The Program for Research in Science and Engineering ( PRISE ) is a 10-week summer program that provides housing in addition to a stipend for summer research. The Harvard College Research Program ( HCRP ) is available during the academic year as well as the summer.  The Harvard University Center for the Environment ( HUCE ) has a summer undergraduate research program. The Harvard College Office of Undergraduate Research and Fellowships ( URAF ) has more information on these, as well as many other programs.

Students that were granted Federal Work Study as part of their financial aid package can use their Work Study award to conduct undergraduate research as well (research positions should note that they are work-study eligible to utilize this funding source).  

Research labs may have funding available to pay students directly, though we encourage you to seek out one of the many funding options available above first.

Yes! Some students choose to do research for course credit instead of for a stipend. To do so for a SEAS concentrations, students must enroll in one of the courses below and submit the relevant Project Application Form on the Course’s Canvas Page:

• Applied Mathematics 91r (Supervised Reading and Research)
• Computer Science 91r (Supervised Reading and Research)
• Engineering Sciences 91r (Supervised Reading and Research)

In general, you should expect to spend a minimum of one semester or one summer working on a project. There are many benefits to spending a longer period of time dedicated to a project. It’s important to have a conversation early with your research PI (“Principal Investigator”, the faculty who runs your research lab or program) to discuss the intended timeline of the first phase of your project, and there will be many additional opportunities to discuss how it could be extended beyond that.

For students who are satisfied with their research experience, remaining in one lab for the duration of their undergraduate careers can have significant benefits. Students who spend two or three years in the same lab often find that they have become fully integrated members of the research group. In addition, the continuity of spending several years in one lab group often allows students to develop a high level of technical expertise that permits them to work on more sophisticated projects and perhaps produce more significant results, which can also lead to a very successful senior thesis or capstone design project. 

However, there is not an obligation to commit to a single lab over your time at Harvard, and there are many reasons you may consider a change:

• your academic interests or concentration may have changed and thus the lab project is no longer appropriate
• you would like to study abroad (note that there is no additional cost in tuition for the term-time study abroad and Harvard has many fellowships for summer study abroad programs)
• your mentor may have moved on and there is no one in the lab to direct your project (it is not unusual for a postdoctoral fellow who is co-mentoring student to move as they secure a faculty position elsewhere)
• the project may not be working and the lab hasn’t offered an alternative
• or there may be personal reasons for leaving.  It is acceptable to move on

If you do encounter difficulties, but you strongly prefer to remain in the lab, get help.  Talk to your PI or research mentor, your faculty advisor or concentration advisor, or reach out to [email protected] for advice. The PI may not be aware of the problem and bringing it to their attention may be all that is necessary to resolve it.

Accepting an undergraduate into a research group and providing training for them is a very resource-intensive proposition for a lab, both in terms of the time commitment required from the lab mentors as well as the cost of laboratory supplies, reagents, computational time, etc. It is incumbent upon students to recognize and respect this investment.

• One way for you to acknowledge the lab’s investment is to show that you appreciate the time that your mentors set aside from their own experiments to teach you. For example, try to be meticulous about letting your mentor know well in advance when you are unable to come to the lab as scheduled, or if you are having a hard time making progress. 
• On the other hand, showing up in the lab at a time that is not on your regular schedule and expecting that your mentor will be available to work with you is unrealistic because they may be in the middle of an experiment that cannot be interrupted for several hours. 
• In addition to adhering to your lab schedule, show you respect the time that your mentor is devoting to you by putting forth a sincere effort when you are in the lab.  This includes turning off your phone, ignoring text messages, avoiding surfing the web and chatting with your friends in the lab etc. You will derive more benefit from a good relationship with your lab both in terms of your achievements in research and future interactions with the PI if you demonstrate a sincere commitment to them.
• There will be “crunch” times, maybe even whole weeks, when you will be unable to work in the lab as many hours as you normally would because of midterms, finals, paper deadlines, illness or school vacations. This is fine and not unusual for students, but remember to let your mentor know in advance when you anticipate absences. Disappearing from the lab for days without communicating with your mentor is not acceptable. Your lab mentor and PI are much more likely to be understanding about schedule changes if you keep the lines of communication open but they may be less charitable if you simply disappear for days or weeks at a time. From our conversations with students, we have learned that maintaining good communication and a strong relationship with the lab mentor and/or PI correlates well with an undergraduate’s satisfaction and success in the laboratory.
• Perhaps the best way for you to demonstrate your appreciation of the lab’s commitment is to approach your project with genuine interest and intellectual curiosity. Regardless of how limited your time in the lab may be, especially for first-years and sophomores, it is crucial to convey a sincere sense of engagement with your project and the lab’s research goals. You want to avoid giving the impression that you are there merely to fulfill a degree requirement or as a prerequisite for a post-graduate program.

There are lots of ways to open a conversation around how to get involved with research.

• For pre-concentrators: Talk to a student who has done research. The Peer Concentration Advisor (PCA) teams for Applied Math , Computer Science and Engineering mention research in their bios and would love to talk about their experience. Each PCA team has a link to Find My PCA which allows you to be matched with a PCA based on an interest area such as research. 
• For SEAS concentrators: Start a conversation with your ADUS, DUS, or faculty advisor about faculty that you are interested in working with. If you don’t have a list already, start with faculty whose courses you have taken or faculty in your concentration area. You may also find it helpful to talk with graduate student TFs in your courses about the work they are doing, as well as folks in the Active Learning Labs, as they have supported many students working on research and final thesis projects.
• For all students: Attend a SEAS Research Open House event to be connected with lab representatives that are either graduate students, postdocs, researchers or the PI for the labs. If you can’t attend the event, contact information is also listed on the Undergraduate Research Canvas page for follow-up in the month after the event is hosted. 

For any student who feels like they need more support to start the process, please reach out to [email protected] so someone from the SEAS Taskforce for Undergraduate Research can help you explore existing resources on the Undergraduate Research Canvas page . We especially encourage first-generation and students from underrepresented backgrounds to reach out if you have any questions.

In Computer Science

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MSRP Mission

The MIT Summer Research Program (MSRP) seeks to promote the value of graduate education; to improve the research enterprise through increased diversity; and to prepare and recruit the best and brightest for graduate education at MIT.

MSRP began in 1986 as an institutional effort to address the issue of underrepresentation of African Americans, Mexican Americans, Native Americans, and Puerto Ricans in engineering and science in the United States. Today, this program’s goal is to increase the number of underrepresented minorities and underserved (e.g. low socio-economic background, first generation) students in the research enterprise.

MSRP seeks to identify talented sophomores, juniors, and non-graduating seniors who might benefit from spending a summer on MIT’s campus, conducting research under the guidance of MIT faculty members, postdoctoral fellows, and advanced graduate students.

Students who participate in this program will be better prepared and motivated to pursue advanced degrees, thereby helping to sustain a rich talent pool in critical areas of research and innovation.

Participant Benefits

• Supervision by an MIT faculty member and postdoctoral fellow or advanced graduate student
• Individual counseling on academic careers
• Constructive feedback on the need for further undergraduate courses and acquisition of additional laboratory skills
• Opportunity to possibly co-author a scientific paper with the faculty mentor
• Exposure to state of the art research laboratories in MIT departments and interdisciplinary centers
• A weekly stipend
• Round trip travel expenses
• University housing and food subsidy (students are responsible for food expenses beyond the subsidy amount)
• Access to campus facilities (library, athletic, and health facilities)

Program Features

• Weekly research presentation by MIT faculty
• Weekly seminars on issues directly related to the academic, personal, and professional growth of interns
• Community service day
• Social outings (barbecues, boat cruise, visits to Boston area)
• Preparation of an abstract, research paper, and graduate school statement of purpose
• Poster presentation at the end of the program

Participating Departments

• Aeronautics and Astronautics
• Architecture
• Biological Engineering
• Center for Real Estate
• Chemical Engineering
• Civil and Environmental Engineering
• Comparative Media Studies
• Computational and Systems Biology
• Computational Science and Engineering
• Earth, Atmospheric, and Planetary Sciences
• Electrical Engineering and Computer Science
• Health Sciences and Technology (Joint Harvard-MIT Program)
• History, Anthropology, and Science, Technology, and Society
• Institute for Data, Systems, and Society
• Linguistics
• Materials Science and Engineering
• Mathematics
• Mechanical Engineering
• Media Arts and Sciences
• MIT Sloan PhD Program
• Nuclear Science and Engineering
• Operations Research Center
• Political Science
• Transportation
• Urban Studies and Planning

If your interested department is not listed above, we encourage you to explore these other summer opportunities.

HCII Summer Undergraduate Research Program

A research experience for undergraduates.

Welcome! The Summer 2024 program will run from Tuesday, May 28 to Friday, August 2, 2024. This is a paid, 10-week research opportunity for undergraduate students.

About the HCII program

This Research Experience for Undergraduates in Human-Computer Interaction program is an opportunity for undergraduate students to spend a summer with us at Carnegie Mellon University in Pittsburgh. 

Here at the HCI Institute, we study a variety of topics at the intersection of psychology, computer science, design and technology. 

Students will have the opportunity to conduct cutting-edge research on meaningful projects with some of the leading human-computer interaction researchers at the CMU School of Computer Science. This work will have the potential for publication and significant impact on the future of HCI. The Research Projects available include: educational technologies, accessibility,  privacy tools, and the future of work, just to name a few.

Visit  Your Summer at a Glance for more details about the seminars and social activities we offer our summer researchers. If you have any questions, we have a list of answers on the FAQs page . When you are ready to apply, visit the Application page and apply before the deadline.

Who should apply?

This program is geared towards undergraduate students interested in gaining hands-on research experience. 

• You have an interest in research in human-computer interaction.
• You have demonstrated success in introductory undergraduate computer science, psychology, or design courses. (You do not need expertise in all of these domains. Project needs vary and may only require you to have some experience programming, designing, or doing human-subjects research. This program is not only a chance to demonstrate your expertise while working on a research project, but also to expose yourself to new types of research and learn new skills in the process.)
• You are 18 years of age or older.
• You are an undergraduate student who is enrolled in a degree program (part-time or full-time) leading to a baccalaureate or associate degree. Students who are transferring from one college or university to another and are enrolled at neither institution during the intervening summer may also participate. High school graduates who have been accepted at an undergraduate institution but who have not yet started their undergraduate study are also eligible to participate.
• You are a U.S. citizen, national, or permanent resident OR an international student already studying in the U.S. Important to note: The majority of our funding comes from the National Science Foundation’s Research Experience for Undergraduate (REU) Program. Undergraduate student participants supported with NSF funds in either REU Supplements or REU Sites must be U.S. citizens, U.S. nationals, or permanent residents of the United States. An undergraduate student is a student who is enrolled in a degree program (part-time or full-time) leading to a baccalaureate or associate degree. Students who are transferring from one college or university to another and are enrolled at neither institution during the intervening summer may participate. High school graduates who have been accepted at an undergraduate institution but who have not yet started their undergraduate study are also eligible to participate. Students who have received their bachelor's degrees and are no longer enrolled as undergraduates are generally not eligible to participate.

Summer Undergraduate Research Program

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• Your Summer at a Glance

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Summer 2024 Dates and Deadlines

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Get a head start on university computer science concepts

Advance your skills in programming and data analysis

The Computer Science Intermediate Track provides a unique combination of coding boot camp, and lab touring experiences, as well as UCLA coursework covering critical concepts and skills in computer programming related to statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, health data, geographical data, and social networks.

Computer science experience with basic programming skills (python) is required. Knowledge in basic matrix analysis, probability, and statistics is preferred.

Computer Science Summer Institute – Intermediate Track

Curriculum overview.

The fundamental question this course aims to address is how does one analyze real-world data so as to understand the corresponding phenomenon.  Students will learn critical concepts and skills in computer programming related to statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, health data, geographical data, and social networks.   Planned topics include machine learning, data analytics, and statistical modeling classically employed for prediction. The program will be a blend of theoretical and practical instruction, providing a comprehensive, hands-on overview of the Data Science domain.  

Hands-on projects will form the bulk of the work for the class and will seek to teach students the data science lifecycle: data selection and cleaning, feature engineering, model selection, and prediction methodologies.  

Application Requirements

Application deadline: June 1, 2024 | Enrollment deadline: June 15, 2024

Applications are reviewed and admission to the program is granted on a rolling basis starting February 15th. Applying at your earliest convenience, prior to June 1st, is highly recommended.

The program has application requirements for admission. Eligible applicants who successfully submit all requirements will be reviewed and notified via email of an admission decision within 3 weeks.

Applicants are required to provide the following during the online registration process:

• If your school transcript utilizes a different grading system, please submit your transcript as is. If available, please attach a translation/equivalency guide.
• If your school has a translation/equivalency guide, please also include it with your transcript. If you do not have a translation/equivalency guide, please still submit your most up-to-date transcript as is for staff to review.
• Value statement : At the time of registration, ALL applicants will be prompted to submit a few short sentences reflecting on their pursuit of participation in a UCLA Precollege Summer Institute. Please note that students are strongly discouraged from relying on ChatGpt/AI tools for their application responses and are encouraged to submit original and authentic answers.
• Do you have any experience related to data science?
• What has motivated you to apply to the CSSI intermediate track?
• What do you expect to learn from the CSSI intermediate track?
• Are you comfortable with programming in python?
• Please list any advanced math courses you have taken. Are you comfortable with math concepts such as function, gradient/derivative, vector and matrix, probability, mean, and variance?
• This is a college-level course and thus very intense and challenging. Our instructor and learning assistants will help you through the whole process. Do you consent to (1) actively participate in classes, discussion sessions, and seminars, (2) communicate timely with our instructor and learning assistants for any questions and difficulties, and (3) befriend and learn from your peers?

Commuter-Only Program

Computer Science Summer Institute – Intermediate Track is a commuter program , there is  NO on-campus housing  available for the Computer Science Intermediate program through the institute program or UCLA Summer Sessions. Additionally, please note that only  students aged 17 and older as of June 24th, 2024 are eligible to sign a housing contract, and not all program dates correspond to when contracts are available. Students interested in exploring this option should review information at  UCLA Summer Housing .

Participants of the Computer Science Summer Institute – Intermediate Track must commute to the UCLA campus each day of the program. Specific location information (e.g. classroom) will be provided to enrolled students closer to the start of the program.

Summer Sessions parking permits will be available on a first-come, first-served basis. Students have the option to purchase a summer term permit or a daily permit.

Please review the  Transportation and Parking Services web page  and read the “Summer Quarter Parking (All Students)” section for more information on all permit types, including cost.

Coursework and Grading

Computer Science 97; 4 units

Grading Basis

Students will receive a letter grade upon completion. See  University Credit, Grades and Transcripts for more information about academic credit.

In order to successfully complete the program, students must not have more than  1  excused or unexcused absence.

Scholarships

UCLA Summer Sessions Summer Scholars Support

Qualified students attending grades 9th – 11th in Spring 2024 in the state of California may be eligible for  Summer Scholars Support , a need- and merit-based scholarship offered by the UCLA Summer Sessions Office. Students must be 15 years old by the first day of Summer Sessions 2024 on June 24th in order to participate in a Precollege Summer Institute and/or apply for Summer Scholars Support. A limited number of full and partial scholarships are available to support enrollment in SCIP/eSCIP, one Summer Course, or a Precollege Summer Institute.

Summer 2024 deadline to apply: March 15

Computer Science Summer Institute (CSSI) Diversity Scholarship

The Computer Science Summer Institute’s Diversity Scholarship’s mission is to support students with strong academic performance and significant contributions to diversity and inclusion.

To apply, please provide both a letter of recommendation from a teacher or counselor from your high school and a response to each of the three prompts below:

1) Describe specific experiences or circumstances in your life that give you a particular appreciation for issues of diversity and inclusion.

2) Describe what you have done to make your school or your community a better place.

3) Describe why receiving the diversity scholarship is important to you. (We will prioritize students with financial needs.)

Please email your essay responses to [email protected] with the subject line “UCLA CSSI Diversity Scholarship: Applicant Full Name”. You may ask your teacher or counselor to email their letter of recommendation to the same email address with the subject line “Letter for UCLA CSSI Diversity Scholarship: Applicant Full Name”.

Summer 2024 deadline to apply: May 8th . Students will be notified on May 15th.

Program Dates: June 24, 2024 – July 12, 2024

Program Type: Commuter

Program Eligibility: 10th-12th grade in Spring 2024*

Application deadline:  June 1, 2024

Enrollment deadline:  June 15, 2024

*All participants must be at least 15 years of age by the first day of Summer Sessions 2024 on June 24th, no exceptions allowed.

The schedule and syllabus are subject to change. Enrolled students will be given updated materials closer to the program start date.

Fees and Payment Info

The program fee includes the unit fees for the UCLA coursework offered as part of the program and thus varies by UC student status. In addition to the program fee, students are assessed other campus and administrative fees during the summer. This is a summary of fees that commonly apply to the selected student type.

Actual tuition and fees are subject to change by the University of California. Visit the fees, payment, and financial aid section for important disclaimer, as well as more details on fees, payment instructions, and information on delinquency, refunds, and financial aid.

Meet your instructors

Yizhou Sun is an associate professor at the department of computer science at UCLA. She received her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2012. Her principal research interest is on mining graphs/networks, and more generally in data mining, machine learning, and network science, with a focus on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications. She is a pioneer researcher in mining heterogeneous information network, with a recent focus on deep learning on graphs/networks.

Yizhou has over 100 publications in books, journals, and major conferences. Tutorials of her research have been given in many premier conferences. She received 2012 ACM SIGKDD Best Student Paper Award, 2013 ACM SIGKDD Doctoral Dissertation Award, 2020 ACM BCB Best Student Paper Award, 2013 Yahoo ACE (Academic Career Enhancement) Award, 2015 NSF CAREER Award, 2016 CS@ILLINOIS Distinguished Educator Award, 2018 Amazon Research Award, and 2019 Okawa Foundation Research Grant.

Advisory Board

Dr. Gafni was born in Tel-Aviv, Israel. He received his Bs.C from the Technion, Israel in 1972, and M.S. and Ph.D. in Electrical Engineering in 1979 and 1982, from the University of Illinois at Urbana Champaign, and M.I.T, respectively. In 1982 he joined the UCLA computer science faculty. Dr. Gafni was the recipient of a 1983 IBM Faculty Development Award, and a 1984 NSF Presidential Young Investigator Award. His research interests include distributed algorithms, mathematical programming with application to distributed routing and control of data networks, and computer science theory.

Richard Korf

Richard Korf is a Professor of computer science at UCLA. He received his B.S. from M.I.T. in 1977, and his M.S. and Ph.D. from Carnegie-Mellon University in 1980 and 1983, respectively, all in computer science. From 1983 to 1985, he served as Herbert M. Singer Assistant Professor of Computer Science at Columbia University. His research is in the areas of problem-solving, heuristic search, and planning in artificial intelligence. He is the author of “Learning to Solve Problems by Searching for Macro-Operators” (Pitman, 1985).

He serves on the editorial boards of Artificial Intelligence, and the Journal of Applied Intelligence. Dr. Korf is the recipient of a 1985 IBM Faculty Development Award, a 1986 NSF Presidential Young Investigator Award, the first UCLA Computer Science Department Distinguished Teaching Award in 1989, the first UCLA School of Engineering Student’s Choice Award for Excellence in Teaching in 1996, and the Lockheed Martin Excellence in Teaching Award in 2005. He is a Fellow of the American Association for Artificial Intelligence.

Computer Science Summer Institute – Intermediate Track FAQ

I don’t have programming experience but i am interested in the program. can i apply.

Given the rigorous nature of the program, exceptions to the eligibility requirements will not be considered. Prospective applicants are welcome to consider the Introductory Track.

What materials are required to participate in this program?

Students are required to supply their own laptop and are recommended to bring a laptop charger.

Still have questions? Check out the general Summer Institutes FAQ.

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• Research Opportunities
• Summer Opportunities

Summer research opportunity programs are designed to introduce undergraduates to leading scholars at the nation’s top research institutions.

Participating undergraduates are engaged in graduate level research with faculty guidance over an eight- to- ten-week period in the summer. Funding is often provided. Applications are typically due in early January.

Cornell Programs

• Cornell Cooperative Extension Summer Internships
• Cornell Agri-Tech Summer Research Scholars Program
• College of Arts and Sciences Nexus Scholars Program
• Bowers CIS Undergraduate Research Experience (BURE)
• Cornell Center for Materials Research
• College of Engineering Student Grant Program
• Cornell High-Energy Synchrotron Source
• Cornell Laboratory for Accelerator-based Sciences and Education (CLASSE)
• Cornell NanoScale Science & Technology Facility Research Experience for Undergraduates (CNF REU) Program
• Food Science Summer Scholars Program
• Molecular Biology and Genetics will consider Leadership Alliance applicants.
• Louis Stokes Alliance for Minority Participation Summer Research Program
• Mathematics REU
• Microbial Friends and Foes
• Molecular Biology and Genetics Research Experience for Undergraduates
• National Astronomy and Ionosphere Center Summer Student Program
• Nexus Scholars Program in Arts & Sciences
• Plant Genome Research Summer Internship
• Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials Research Experience for Undergraduates (PARADIM REU) Program
• REU Program in Astrophysics and Planetary Science
• Shoals Marine Lab in Maine
• Information on Summer Internships with aerospace companies in New York State
• Summer Mathematics Institute

National and International Programs

• American Economic Association Summer Program (Pre-graduate study and research)
• Amgen Scholars Program
• REU Programs in Engineering
• Graduate Horizons (A four day intensive course for Native American, Native Alaskan and Native Hawaiian students)
• Institute for the Recruitment of Teachers (for prospective grad students interested in humanities, social sciences, and education)
• Leadership Alliance Summer Research Early Identification Program (includes programs funded by the Mellon-Mays Foundation for students in the humanites)
• Pathways to Science (Use this website to search for programs in STEM, including undergraduate summer research opportunities as well as graduate fellowships and post-doctoral positions)
• Ralph Bunche Institute
• Summer Internships through Space Grant for prospective grad students in government and political science

Additional Resources

• The Cornell Graduate School lists summer research opportunities for undergraduates
• The Office of Undergraduate Biology lists summer research opportunities on their website
• The National Science Foundation lists summer research opportunities for undergraduates
• Experience.cornell.edu helps Cornell students find research opportunities
• Cross-Institutional Initiatives
• Weill Medical Opportunities

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25 Computer Science Summer Programs for High Schoolers in 2024

What’s covered:.

• Computer Science Summer Programs for High School Students
• How Impressive are Computer Science Programs in High School Admissions?
• Other Ways to Spend Your Summer

Computer science summer programs allow you to build your skills and make friends who are as passionate about the field as you are. You may even get to travel somewhere new or experience life on the campus of a top college! Below is a list of computer science summer programs for high schoolers, where and when they take place, and guidance on which ones will provide the biggest boost to your college applications.

25 Computer Science Summer Programs for High School Students 

1. tandon nyu summer programs: automation, robotics, and coding (sparc).

• Session One: June 17-28 
• Session Two: July 8-19
• Session Three: July 29-August 9

Location: New York University (NYU)

Application Deadline: N/A

Cost: $3,025 

Tandon NYU offers two-week, full-day programs for high school students in grades 9-12 that teach the basics of robotics, mechatronics, and programming. Participants learn about concepts and practices in computer science, electrical engineering, and mechanical engineering and build a foundation for careers in fields like IoT, machine learning, and augmented reality.

Applicants must be 14 years of age or older and a minimum of 15 years old for housing.

2. Computer Science for Cyber Security (CS4CS)

Dates: July 10-28

Application Deadline: April 14

This three-week summer program is designed to empower the next generation of engineers to take on the challenges of cybersecurity and break down barriers that have led to the underrepresentation of women and minorities in the field. The program is open to 8th-11th graders living in New York City and its neighboring cities.

Participants in CS4CS will learn about a variety of topics including digital forensics, steganography, “white-hat” hacking, and cryptography. Students don’t need experience in computer science or cybersecurity to participate.

3. iDTech Tech Camps

Dates: Varies 

Location: Varies

Cost: $999-$4,799 

iDTech offers two-week coding and artificial intelligence camps for high school students, covering topics like machine learning, deep neural networks, cryptocurrency, and even encryption in 25 states and Washington, D.C. 

iDTech camps can be day or overnight programs, and they’re hosted at universities, providing students with the opportunity to sample college life while gaining hands-on STEM experience. Programs offer participants a mix of group and one-on-one sessions with certified coding instructors. 

4. Code Connects: Artificial Intelligence & Big Data

Dates: July 10-14

Location: Online

This week-long summer program focused on artificial intelligence and big data provides participants with a deeper understanding of machine learning while working on hands-on projects and building programming skills in Python.

5. Code Connects: Emerging Technologies

Dates: June 19-30

This two-week summer camp exposes students to some of today’s most cutting-edge technologies. In week one, participants will learn the fundamentals of the coding language Python. In week two, they’ll apply their coding skills to emerging technologies like AI, cybersecurity, data science, and web development.

6. Kode With Klossy

Location: In-person and Online

Kode with Klossy is a two-week summer coding camp specifically designed for girls, gender-nonconforming, and trans students ages 13-18. Program participants will focus on one of four topics: web development, mobile apps, artificial intelligence/machine learning, and data science. Kode with Klossy is being held both online and in person. 

7. NextGen Bootcamp

Cost: $1,999- $4,495

NextGen Bootcamp offers online and in-person computer education summer programs for high school students—in-person courses are held in New York City. Programs cover a variety of computer-related subjects, including coding in Python and Java, web design and development, and data science.

There are no prerequisites for joining NextGen Bootcamp’s programs—they do not require any prior coding knowledge.

8. Penn Summer Coding Academy

Dates: July 6-27

Location: University of Pennsylvania (UPenn)

Cost: $5,500* 

*Students who attend a School District of Philadelphia public or charter high school may be eligible to attend the academy for free.

This three-week residential program at UPenn for high schoolers in grades 9-11 introduces students to front-end web development. Participants learn about Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript (JS), along with how to use them to create web pages for desktop and mobile devices. The program provides a strong foundation for students hoping to pursue careers in technical fields. 

9. Girls Who Code Summer Programs

Application Deadline: March 29

Girls Who Code offers two summer programs for girls and nonbinary students: the Summer Immersion Program and the Self-Paced Program.  The Summer Immersion Program is open to high schoolers in grades 9-11. This two-week-long virtual course focuses on beginner to intermediate computer science concepts, the iterative design process, and UX design basics.

The Self-Paced Program is open to high schoolers in grades 9-12, including graduating high school seniors. This course dives into intermediate applications of Python, with a focus on cybersecurity and data science. Students in the self-paced program have six weeks to complete course projects, and support is available through weekly live advisory sessions and activities.

10. Wolfram High School Summer Research Program

Dates: June 25-July 13

Location: Bentley University

Cost: $4,200

The Wolfram High School Summer Research Program is a two-week intensive training that aims to introduce high schoolers to programming, computational thinking, and technology. Students participate in lectures and activities led by Wolfram instructors and build hands-on experience developing a project from ideation to completed product. 

Approximately 50 students are admitted to the program annually.

11. Emagination STEM Camp

Dates: Varies

Cost: $1,960-$3,760

Emagination STEM Camp offers several technology courses that will interest high schoolers with an interest in computer science, most notably coding basics, coding in C#, coding in Java, and AI Explorations. Each course is two weeks long and meets for three hours a day.

Camps are offered on college campuses in three states—Connecticut, Illinois, and Pennsylvania—and provide participants with a college-like experience.

12. Terp Young Scholars

Dates: July 8-26

Location: In-person and online

Application Deadline: May 1

Cost: $1,500-$2,500

This program for rising 10th graders to graduating high school seniors is offered through the University of Maryland. The three-week-long, immersive experience allows students to undertake college-level work, earn college credit, and, in the case of in-person students, learn on a college campus.

Participants in the Terp Young Scholars program choose one course to explore—where they attend class, work on projects, take exams, and collaborate with their peers. Of most interest to students interested in computer science is the in-person course, Introduction to Computing. 

13. Naval Academy Summer STEM Program

• Rising 9th graders: June 3-8
• Rising 10th graders: June 10-15
• Rising 11th graders: June 17-21

Location: U.S. Naval Academy

Application Deadline: April 15 

Cost: $700 

High schoolers in grades 9-11 interested in careers as coders, game developers, designers, and robotics engineers should check out the Naval Academy Summer STEM program. The week-long residential program tests participants’ problem-solving, creativity, and collaboration skills while exploring the world-class labs and facilities at one of the top engineering programs in the nation.

14. WPI Frontiers Program

• Session 1: July 7-19
• Session 2: July 21-24

Location: Worcester Polytechnic Institute (WPI)

Application Deadline: April 30 

Cost: $3,995

This two-week, residential program at WPI allows students in grades 10-12 to explore a STEM major with a humanities minor—providing a preview of college life at WPI. Students interested in computer science may want to pursue the major Computer Science: Possibilities in Programming or the major Data Science: Extracting Knowledge and Insights.  

In addition to coursework, students participate in a variety of recreational activities and college preparatory programming.

15. National High School Game Academy

Dates: June 22-August 3 

Location: Carnegie Mellon University

Application Deadline: March 1

Cost: $8,998-$12,105

This six-week residential program for current high school sophomores and juniors is hosted by Carnegie Mellon and provides students with hands-on experience designing video games. The course is a great opportunity for students with an interest in software development, taking students through the process of creating a video game from ideation to pitch to final ship.

16. AI Scholars

Dates: June 22-July 20 

This free four-week program for rising high school seniors explores artificial intelligence through classroom instruction, research projects, lectures, and engagement with the nation’s leading tech companies. Students will also participate in college prep and readiness seminars focused on everything from admissions to financial aid to social-emotional well-being. 

17. UT Computer Science Summer Academy for All

• Standard Academy: June 9-15
• Machine Learning Academy: July 7-13

Location: University of Texas, Austin (UT Austin)

Application Deadline: December 22 

This week-long residential summer program offered by UT Austin is open to students of all skill levels in grades 10-12. Standard Academy for All participants will learn about C++, project management, and careers in tech, while those in the Machine Learning Edition will explore Python, machine learning concepts, and the social impacts of the technology.

All participants will gain firsthand experience living and learning on a college campus, including sharing a room in a residence hall with a roommate, eating in the dining hall, and tackling college-level coursework.

18. Berkeley Summer Computer Science Academy

Dates: June 16-28

Location: University of California, Berkeley (UC Berkeley)

Application Deadline: March 11

Cost: $5,060

The two-week-long Berkeley Summer Computer Science Academy allows students ages 16 and 17 to immerse themselves in computer science and coding for two weeks in the summer. The program is based on the introductory computer science course taken by UC Berkeley undergrads. The academy culminates with the Code Celebration, an event where participants show off the coding project they worked on during the program.

This is a residential program and provides students with an excellent understanding of college life.  

19. Summer Liberal Arts Institute (SLAI) Computer Science

Dates: July 6-26

Location: Carleton College

Cost: $4,500

This residential program is open to rising high school juniors and seniors. The SLAI Computer Science program takes a different approach to exploring the field—it looks at it through the lens of liberal arts. Participants will learn about finding computational solutions via classwork, hands-on labs, and working in small teams on projects. The program concludes with a symposium where students share the results of their work. 

20. Veritas AI Scholars

Dates: June 3-June 14 

Application Deadline: May 12

Cost: $1,790

This program, founded and operated by Harvard graduate students, teaches students in grades 9 through 12 the fundamentals of Python and the key concepts of artificial intelligence and machine learning. Participants work in small teams under the guidance of an artificial intelligence expert in fields including gaming, sports, finance, and health care.

The structure of the summer program has participants completing 25 hours of work over two weeks. 

21. Columbia University Introduction to Programming with Java

• Session 1: June 24-July 12
• Session 2: July 16-August 2

Location: Columbia University 

Cost: $12,449

This three-week program is designed to provide participants with an understanding of the fundamentals of Java and build familiarity with object-oriented programming concepts, algorithms, and techniques. Students will also challenge their logical reasoning, systematic thinking, and problem-solving skills on programming projects and in labs. Students already knowledgeable in Java may want to check out this program’s counterpart course, Introduction to Programming with Python.

Outside of the classroom and lab, students are offered a variety of college preparedness programs, including lectures, seminars, and workshops covering everything from the college application process to managing the rigors of college life. 

This is a residential program that allows students to experience life at one of the nation’s most prestigious colleges and in one of the world’s great cities. 

22. UCLA Computer Science Introductory Track

Dates: June 30-August 9

Location: University of California, Los Angeles (UCLA)

Application Deadline: June 1

This commuter program at UCLA combines a coding boot camp with college-level coursework and lab experiences to introduce students in grades 9-12 to computer science. Program participants will explore the design and implementation of computer programs, learn how to use computers as tools, and explore topics like integers, strings, lists, control structures, and functional decomposition. 

No previous coding experience is necessary to participate in this program.

23. Research in Science & Engineering (RISE)

Dates: June 24-July 12

Location: Boston University

Application Deadline: February 14

Cost: $3,120-$3,426

High school juniors passionate about developing their STEM skills will want to check out RISE, a six-week program that provides research opportunities in a number of fields, including computer science.

Participants can choose between two tracks in the RISE program: Internship and Practicum. Those on the internship track will spend 40 hours a week working on research projects while those on the Practicum track begin each day with a two-hour lecture followed by four hours of group research. Once a week, practicum track participants will join the internship students for workshops aimed at building academic and professional skills.

24. UC Santa Barbara Research Mentorship Program

Dates: June 17-August 2 

Location: UC Santa Barbara 

Application Deadline : March 18

Cost: $4,975-$11,874

The Research Mentorship Program enables high-achieving high schoolers to tackle hands-on, university-level research in a variety of fields, including computer science. Students work with a mentor to learn about research techniques, gain insight into professional opportunities, and grow their academic goals. The program concludes with participants reporting their findings in a technical research paper and presenting at a formal academic symposium.

25. MITES Summer 

Dates: Late June-Early August 

Location: Massachusetts Institute of Technology (MIT)  

Application Deadline: February 15

High school juniors with a passion for STEM will want to check out MITES Summer. This six-week program immerses students in life at MIT—taking courses, participating in lab tours, and attending social events—while also preparing them for college admissions.

The MITES Summer program includes high-level math and science coursework along with electives focusing on real-world STEM applications. In the past, electives have included courses in machine learning, electronics, and engineering design.

At the conclusion of the program, students receive a written evaluation from their instructor which many students submit as supplemental material with their college applications.

How Impressive Are Computer Science Programs in College Admissions?

Computer science summer programs are a great way to show colleges that you are passionate about your academic interests, and attending a prestigious summer program can give your odds of college admission a significant boost.

The four tiers of extracurricular activities provide a good guideline for understanding the influence summer programs have on your chances of getting into college. Tiers 1 and 2 are reserved for the most impressive and rarest activities—and have the most impact on college admissions. Extracurriculars in Tiers 3 and 4 are more common and hold less weight with admissions offices. Most summer programs are in Tiers 3 and 4, though ones that are highly selective, free, and have a competitive application process would be considered Tier 1 or 2. 

CollegeVine can add clarity to the impact your participation in activities outside the classroom, including computer science summer programs, has on your chances of college acceptance. Our free chancing engine uses a number of data points—like academics, extracurriculars, and demographics—to estimate your odds of getting into over 1,600 colleges in the United States.

Other Ways to Spend Your Summer 

Summer computer science programs are one approach to improving your college application, but you may also want to look into volunteer work, independent study, and internships. For example, internships are a challenging, and even more impressive, experience that can increase your chances of acceptance into college. See our list of computer science internships to find the best one for you. 

Another option is self-guided extracurriculars, which, when compared to summer programs, have the advantage of generally being more affordable and easier to fit into busy schedules. Some computer science-related, self-guided activities to consider include participating in an online hackathon, building a website or computer, or learning a new programming language on your own.

If you want to give back to your community, you can also teach residents of a retirement home how to use a technological device, such as a smartphone or computer, or lead a coding camp for elementary schoolers in your community. 

Overall, computer science summer programs are an excellent way to enhance your chances of acceptance, but they’re only one component of the whole application. For more approachable extracurricular opportunities, check out our list of online opportunities for high school students .

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Best Summer Programs for Computer Science

Computer Science is a highly-competitive major and gaining admission into a CS program at an elite university can be an epic task. One way teen programming whizzes can distinguish themselves is by spending their high school summers in a productive way that shows an admissions committee their passion and hunger to advance their CS-related knowledge and skills.

For a full look at our searchable database of the best 2024 summer programs click the button below . Here, you will be able to sort summer programs by discipline and location and can view important data points such as tuition costs, deadlines, course listings, and more!

Search 2024 Best Summer Programs

Our list of the Best Summer Programs for Computer Science is comprised of 34 stellar programs that range in duration, cost, and eligibility criteria but all share one key trait—quality. Each of the aforementioned data points are provided for each school along with the location of the program, whether they offer a residential experience, and when the application window opens and closes. Also highlighted for our readers are the dates that applications become available, the deadlines, whether residential housing is offered, and the geographic location where the program takes place. Regardless of which program on this list you ultimately apply to, you will be in for a fruitful experience that will also simultaneously bolster your college admissions prospects.

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Artificial intelligence and machine learning.

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Communications Systems

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Computational Fabrication and Manufacturing

Computer architecture, educational technology.

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Graphics and Vision

Human-computer interaction.

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Programming Languages and Software Engineering

Quantum computing, communication, and sensing, security and cryptography.

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Systems and Networking

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Theory of Computation

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Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day.

Primary subareas of this field include: theory, which uses rigorous math to test algorithms’ applicability to certain problems; systems, which develops the underlying hardware and software upon which applications can be implemented; and human-computer interaction, which studies how to make computer systems more effectively meet the needs of real people. The products of all three subareas are applied across science, engineering, medicine, and the social sciences. Computer science drives interdisciplinary collaboration both across MIT and beyond, helping users address the critical societal problems of our era, including opportunity access, climate change, disease, inequality and polarization.

Research areas

Our goal is to develop AI technologies that will change the landscape of healthcare. This includes early diagnostics, drug discovery, care personalization and management. Building on MIT’s pioneering history in artificial intelligence and life sciences, we are working on algorithms suitable for modeling biological and clinical data across a range of modalities including imaging, text and genomics.

Our research covers a wide range of topics of this fast-evolving field, advancing how machines learn, predict, and control, while also making them secure, robust and trustworthy. Research covers both the theory and applications of ML. This broad area studies ML theory (algorithms, optimization, …), statistical learning (inference, graphical models, causal analysis, …), deep learning, reinforcement learning, symbolic reasoning ML systems, as well as diverse hardware implementations of ML.

We develop the next generation of wired and wireless communications systems, from new physical principles (e.g., light, terahertz waves) to coding and information theory, and everything in between.

We bring some of the most powerful tools in computation to bear on design problems, including modeling, simulation, processing and fabrication.

We design the next generation of computer systems. Working at the intersection of hardware and software, our research studies how to best implement computation in the physical world. We design processors that are faster, more efficient, easier to program, and secure. Our research covers systems of all scales, from tiny Internet-of-Things devices with ultra-low-power consumption to high-performance servers and datacenters that power planet-scale online services. We design both general-purpose processors and accelerators that are specialized to particular application domains, like machine learning and storage. We also design Electronic Design Automation (EDA) tools to facilitate the development of such systems.

Educational technology combines both hardware and software to enact global change, making education accessible in unprecedented ways to new audiences. We develop the technology that makes better understanding possible.

The shared mission of Visual Computing is to connect images and computation, spanning topics such as image and video generation and analysis, photography, human perception, touch, applied geometry, and more.

The focus of our research in Human-Computer Interaction (HCI) is inventing new systems and technology that lie at the interface between people and computation, and understanding their design, implementation, and societal impact.

We develop new approaches to programming, whether that takes the form of programming languages, tools, or methodologies to improve many aspects of applications and systems infrastructure.

Our work focuses on developing the next substrate of computing, communication and sensing. We work all the way from new materials to superconducting devices to quantum computers to theory.

Our research focuses on robotic hardware and algorithms, from sensing to control to perception to manipulation.

Our research is focused on making future computer systems more secure. We bring together a broad spectrum of cross-cutting techniques for security, from theoretical cryptography and programming-language ideas, to low-level hardware and operating-systems security, to overall system designs and empirical bug-finding. We apply these techniques to a wide range of application domains, such as blockchains, cloud systems, Internet privacy, machine learning, and IoT devices, reflecting the growing importance of security in many contexts.

From distributed systems and databases to wireless, the research conducted by the systems and networking group aims to improve the performance, robustness, and ease of management of networks and computing systems.

Theory of Computation (TOC) studies the fundamental strengths and limits of computation, how these strengths and limits interact with computer science and mathematics, and how they manifest themselves in society, biology, and the physical world.

Latest news

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The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.

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This new tool offers an easier way for people to analyze complex tabular data.

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EECS hosts MSRP interns for picnic lunch and fun conversation!

Upcoming events

Doctoral thesis: light-induced non-equilibrium states and phase transitions in quantum materials, doctoral thesis: programmable interactions between optical fields and atom-like systems in integrated circuits.

Research Experiences for Undergraduates

Research Experiences for Undergraduates (REUs) are competitive summer research programs in the United States for undergraduates studying science, engineering or mathematics. Such programs usually focus on targeting women and underrepresented minorities (e.g., African Americans, Mexican Americans, Native Americans and mainland Puerto Ricans).

The programs are sponsored by the National Science Foundation and are hosted in various universities. They are among the most prestigious summer programs in which an undergraduate can participate. Individual REUs tend to be specialized in a particular field of science, such as mathematics, physics, chemistry, biology, psychology and computer science.

For a complete list of all REUs available, visit the National Science Foundation website.

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← Wright State to offer summer research experience in secure and trusted microelectronics for undergraduate students

Wright State to offer summer research experience in secure and trusted microelectronics for undergraduate students

Fathi Amsaad, assistant professor of computer science, is the principal investigator of Wright State’s Training Research for Undergraduate Students in Secure and Trusted Systems program.

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Computer Science (PhD)

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The doctor of philosophy in computer science is, above all, a high-quality degree that is not conferred simply for the successful completion of a specified number of courses or years of study. It is a degree reserved for students who demonstrate a comprehensive understanding of computer science and an ability to do creative research. Each PhD student produces a significant piece of original research, presented in a written dissertation and defended in an oral examination.

The PhD program is structured to facilitate the process of learning how to do research. Students begin by taking required courses to build a foundation of knowledge that is essential for advanced research. Early in the program the student gains research experience by undertaking a directed research project under the close supervision of a faculty member and the scrutiny of a faculty committee. In the later stages of the program, students take fewer courses and spend most of their time exploring their dissertation area to learn how to identify and solve open problems. The final steps are to propose an independent research project, do the research, and write and defend a dissertation.

Application materials should be submitted by December 15 for the following fall term. Materials include everything required for admission to the master’s program as well as a discussion of the anticipated research area.

Students who enter the UO with a master’s degree may petition the Graduate Education Committee for credit toward the course requirements listed below, indicating how their prior graduate work corresponds to these courses. See the graduate coordinator for the petition.

Program Learning Outcomes

Upon successful completion of this program, students will be able to:

• Core Knowledge Breadth: Demonstrate a broad working knowledge of fundamental theories, research findings and methodological approaches in multiple content areas within Computer Science (Foundations, Systems, Data Science).
• Core Knowledge Depth: Demonstrate a deep working knowledge of advanced theories, research findings, and methodological approaches within one of the Computer Science areas of Foundations, Systems, and Data Science.
• Software Engineering: Demonstrate a working knowledge of software engineering and development techniques and related hands-on skills.
• Scientific Inquiry: Achieve a deep fluency in the scientific literature and the ability to ask and pursue compelling questions within a primary field of research, and achieve proficiency in relevant experimental design, methodology, and data analysis/statistical methods.
• Scientific Communication: Demonstrate effective oral and written scientific communication skills.

PhD Course Requirements

A grade of B- or better is required

Cannot duplicate Depth course used

Cannot duplicate Breadth course used

A grade of C or better is required in graded elective credits

PhD Degree Requirements

PhD candidates who enter the program without a master’s degree in computer science must take 48 credits in graduate course work including the core and cluster courses required for the MS program. Doctoral students must earn a minimum grade of B– and an overall GPA of 3.50 in the six courses they use to satisfy the breadth and depth requirements.

Minimum Annual Enrollment

PhD students are expected to enroll in at least 6 credits of 600-level course work each year until their advancement to candidacy. Research: [Topic] (CS 601), Dissertation (CS 603), and Reading Conference: [Topic] (CS 605) do not satisfy this requirement. After candidacy, PhD students are encouraged to continue participation in 600-level courses

Directed Research Project

Complete a directed research project, which is supervised by a faculty member and evaluated by a faculty committee. The research project comprises the following:

• The definition and expected results of the project in the form of a Directed Research Project Contract
• Delivery of the materials constituting the results of the project and oral presentation of the results
• A private oral examination by the committee members

Status Change

PhD candidates are admitted conditionally. Successful completion of the directed research project leads to a change in the student’s doctoral status from conditional to unconditional.

Dissertation Advisory Committee

After successfully completing the directed research project, PhD students form a Dissertation Advisory Committee chaired by their research advisor. The main role of the committee is to advise the student between completion of the research project and mounting the dissertation defense. The committee takes primary responsibility for evaluating student progress. In addition, it approves the plan for the area examination, which in turn is approved by the graduate education committee. See the graduate coordinator for further instructions.

Area Examination

The student chooses an area of research and works closely with an advisor to learn the area in depth by surveying the current research and learning research methods, significant achievements, and how to pose and solve problems. The student gradually assumes a more independent role and prepares for the area examination, which tests depth of knowledge in the research area. The examination contains the following:

• A survey of the area in the form of a position paper and an annotated bibliography
• A public presentation of the position paper
• A private oral examination by committee members

Advancement to Candidacy

After the area examination, the committee decides whether the student is ready for independent research work; if so, the student is advanced to candidacy.

Dissertation and Defense

Identify a significant unsolved research problem and submit a written dissertation proposal to the dissertation committee. The dissertation committee, comprising three department members and one member from an outside department, is approved by the graduate education committee. In addition to these four, the dissertation committee often includes a fifth examiner. This outside examiner should be a leading researcher in the candidate’s field who is not at the University of Oregon. The outside member should be selected a year before the candidate’s dissertation defense, and no later than six months before.

The student submits a written dissertation proposal to the committee for approval, and the proposal is then submitted to the graduate education committee. The proposal presents the research problems to be tackled, related research, methodology, anticipated results, and work plan. The committee may request an oral presentation, similar to the area exam, which allows the student to explain and answer question about the proposed research. The student then carries out the research.

The final stage is writing a dissertation and defending it in a public forum by presenting the research and answering questions about the methods and results. The dissertation committee may accept the dissertation, request small changes, or require the student to make substantial changes and schedule another defense

Division of Graduate Studies Requirements

PhD students must meet the requirements set by the Division of Graduate Studies as listed in that section of this catalog

Research Areas

It is important that a PhD student be able to work effectively with at least one dissertation advisor. Hence the student should identify, at an early stage, one or more areas of research to pursue. The student should also find a faculty member with similar interests to supervise the dissertation.

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Summer Research Assistant - School of Computer Science - HCII

• Analyzes/researches data.
• Prepares reports and other dissemination and outreach materials.
• Attends meetings and participates in various seminars/training classes as needed.
• High School Diploma or GED
• Strong technical skills, communication skills, and analytical skills.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
• Please visit “ Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.
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