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• Last updated January 7, 2024
• In AI Trends & Future

Check Out These 5 Indian Institutes Offering A PhD In Data Science

• Published on February 13, 2019
• by Disha Misal

Data Science has become popular in India. Many people are shifting their careers from different fields to data science and AI. A PhD in data science is very demanding and is considered extremely prestigious. India is realising its importance in industries and now has several institutes offering a PhD in data science.

Table of contents

1. indian statistical institute (isi) :, 2. iit gandhinagar :, 3. iisc bangalore :, 4. iit delhi :, 5. bits pilani :.

Here are some institutes that currently have their applications open for a PhD in India.

The PhD program at ISI provides the students with an exceptional academic environment through a variety of educational and research opportunities. The internationally recognized faculty members actively work in several exciting research areas. PhD students are expected to publish papers in conferences and journals of international repute and are encouraged to collaborate with researchers all over the world, travel to conferences and training programs, and have internships with leading government and industry research labs. ISI has a unique opportunity for outstanding students to apply to the PhD program directly after the completion of their Bachelor’s degree. It also offers a unique flexibility in accepting students without the need for an undergraduate/postgraduate degree in computer science.

The online application has been started on 5th of February and the deadline is on 12th of March. They have their own admission test which will be on 12th of May. You can find the exam and admission details here .

IIT Gandhinagar, under its computer science engineering department is offering specialisation in data science PhD. Specialisations are open in the area of Data science, machine learning, NLP, game theory, data mining. Admission is offered on the basis of an interview, which is supplemented by a written test if necessary. The Institute invites a limited number of candidates for a written test and interview based on the academic records, statement of purpose. The final selection will be mainly based on academic credentials, written test and/or interview.

Application Deadline for a PhD at IIT-Gandhinagar this year is 12th February. Written Tests and/or Interviews will be held sometime around 15-17th March. Here are the details.

IISc has a department dedicated to data sciences called the Department of Computational and Data Sciences (CDS) that offers research-based degree programs. The research programs are M.Tech. (Research) and Ph.D. The Ph.D program at CDS is the flagship program of the department, and it is these doctoral programmes that have helped IISc secure the rank as top university and top academic institution in India. The Ph.D. students contribute the most to the success of the Institute.

PhD admission involves a written test followed by and interview of the shortlisted candidates. The applications start in October every year. Here are the details.

IIT Delhi has a research group called Data Analytics and Intelligence Research ( DAIR ), under the department of Computer Science Engineering, which deals with data. It is focused on combining and integrating various fields of data sciences such as machine learning, data management, and data mining towards the goal of building intelligent software systems. They are involved in NLP, statistical relational learning, social network analytics and crowdsourcing. They have various data science and ML specialisations like Algorithms and Complexity Theory, AI and ML, Databases and Data Analytics, Architecture and Embedded Systems, Graphic and Vision, and many others.

Here are the details.

BITS Pilani Goa campus provides a PhD course with a specialised subject as data science. They select candidates based on a test followed by an interview. They also have a part-time PhD program for people working in reputed research organisations, academic institutes and industries, situated close to the vicinity of one of the campuses of BITS Pilani.

The registrations generally start in the month of December every year. You can find the details here .

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I really value the opportunity for engaged scholarship provided by IIM Bangalore, where our research questions matter not only for business but also government and society. To be able to place myself at that intersection as a scholar, to engage with questions facing organizations and society, and to build capabilities to impart that knowledge to future managers in classrooms is exciting to me. I truly believe that the PhD programme at IIM Bangalore will shape us into scholars who will contribute to organizations and society through research.

- Anupama Kondayya, Organizational Behaviour & Human Resource Management area of the Doctoral Programme (Ph.D.) at IIMB.

Welcome to the Doctoral Programme in Management at IIM Bangalore.

Srijith Mohanan, PhD Scholar Finance and Accounting area, IIMB

Dhrithi Mahadevan, PhD scholar Marketing area, IIMB

Rajashik Roy Choudhury, PhD Scholar OBHRM area, IIMB

Bibek Bhattacharya, PhD Scholar Strategy area, IIMB

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Ph.D Data Sciences Part Time at IIIT Bangalore Offline Course

Course details.

• Doctor of Philosophy in Data Sciences is a part-time doctorate program offered by International Institute of Information Technology, Bangalore.
• This course duration varies from minimum is 3 years  and maximum is 6 years. And we shall enter “72” months  the maximum.
• Fees per Semester - 45000/- INR.

Eligibility Criteria

Applicants to the Doctor of Philosophy program should hold a Masters degree, as well as have a good academic and, where applicable, technical track record.

Admission Details

As an admission criterion placed for Doctor of Philosophy, we require applicants to take either a national entrance examination, as specified by concerned research domain, or a domain-specific entrance examination at IIITB before the interview.

Other Popular Courses in this College

Other popular universities offering this course, pes university, bangalore.

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National Institute of Technology Karnataka Surathkal

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M.Tech. in Data Science and Business Analytics

A Professional Online Masters' Program at IISc

Welcome to the dsba program, an online m.tech. program for working professionals and future leaders.

About the DSBA Program

The Data Science and Business Analytics (DSBA) is an online Masters’ program offered by the Departments of Computational and Data Science and Management Studies at IISc. This program is designed for working professionals to earn a full-fledged M.Tech. Degree from IISc, the top university in India, through an online instruction format that is on par with the residential M.Tech. program. Students have the flexibility of completing 8-10 courses and a capstone project over a 2-4 year period to earn their degree. All courses are taught by full-time faculty at IISc, renowned for their world-class research and development, which permeates into the lectures and practical sessions. A unique feature of the program is its blend of data science concepts both from a technology and a business perspective, that helps to train future technology leaders in data and AI driven industries.

Unlike other programs, admission to the online M.Tech. program at IISc is through a partnership with your parent company (sponsoring institution) and IISc. Applicants from the company are nominated and go through an admissions interview at IISc that evaluates their ability to be successful in the program. For more details, see the Admissions section.

Program Features

Future-proof your Career

A Masters' degree from IISc prepares you for future leadership, and even a subsequent Ph.D.

Upskill on AI/ML Methods, Technology & Business Domains

Learn cutting edge data science methods and data engineering at scale, with application to diverse business domains

Blends Theory with Practice

Establish rigorous foundations coupled with hands-on practical applications

Capstone Project in your Industry

Validate your learning through a Capstone Project relevant to your specific business or technology domain

Learn from the Leaders

Full-time IISc faculty teaching the program are reknown researchers and practitioners

Collaborate with Best-in-Class Peer Group

Our selective admissions through industry nominations and small class sizes allow you to network and collaborate with peers

Work-Life-Study Balance

The self-paced study offers 3 years for completion, with additional break in study for business and life events

Sponsored by your Company

Admissions are through nomination by your parent company and fees are paid by them too. Be rewarded for being an out-performer!

Program Structure

Students admitted to the M.Tech.(Online) program on Data Science and Business Analytics need to complete the following requirements within a 2-4 year period to earn their degree. Students must get a passing grade in a course for it to be counted toward their degree. More details are under Program Details and Courses .

Core courses

These three courses of 4 credits each have to be mandatorily taken and completed by all students in the program. These are typically taken in the first and second semesters.

• Introduction to Data Science
• Data Engineering at Scale
• Introduction to Computing for AI/ML

Elective courses

Students have to complete at least 20 credits of elective courses. Each course typically is for 3-4 credits. See the course details below. These courses can be taken at any time during the program, as long as the student meets its prerequisites. Not all electives are offered in all years, and others may be added over time.

• Financial Analytics
• Practical Machine Learning
• Data Mining
• Operations Research
• High-performance Computing in Data Science
• Deep Learning and Computer Vision

Capstone Project

A capstone project for 32 credits has to be completed over two terms, and can be started after completing all the core course requirements. The project topic will be proposed by the student, with relevance to their professional work, and utilizing skills gained during the degree program. A faculty mentor will offer high-level feedback on the project. There will be a midterm evaluation at the end of the first term and a final review after the second term, by a committee appointed by the Program Curriculum Committee (PCC).

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The faculty managing the DSBA program and offering courses are drawn from the Division of Interdisciplinary Sciences at IISc, and specifically from the Departments of Computational and Data Science and the Departments of Management Studies . These are the same faculty who teach the other flagship post-graduate courses (M.Tech. in Computational and Data Science, and Master of Management) for full-time students at these departments. The faculty members bring the same world class expertise to the courses offered as part of the DSBA program.

The Program Curriculum Committee (PCC) is responsible for all academic matters of the program. The following are its members.

Associate Professor and Chair, Computational and Data Sciences

Pcc chair, dsba, sashikumaar ganesan.

Professor and Chair, Management Studies

Parthasarathy ramachandran.

Associate Professor, Computational and Data Sciences

Yogesh simmhan.

Assistant Professor, Computational and Data Sciences

Deepak subramani.

Assistant Professor, Management Studies

Shashi jain.

According to BA Times and US Bureau of Labor Statistics a Management Analyst with a Bachelor’s degree has an expected salary of US$85,000 per year, while with a Master’s degree, an Information Scientist expects US$122,000 per year and an Analytics Manager expects US$160,000 per year.

Kimberly Tran manager

Our program is targeted at professionals who have between 2-8 years of industry experience. This allows you to fully utilize the skills and challenges you have experienced at your work to draw the full potential from the program.

Unlike a purely technology-oriented data science, AI or machine learning degree, we blend the foundational and technological aspects of data science with their practical relevance to business settings. This equips our graduates with skills required for being technology leaders as well as business leaders.

The same experts who teach students on our full-time post-graduate students on-campus at IISc will handle the courses of DSBA. In fact, many of the online courses draw upon existing course content for our full-time programs.

Latest posts

IISc Launches Online M.Tech. Program

Information Session for Potential Candidates

DSBA program starts the first year with 50+ admissions

Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque

Indian Institute of Science Data Science and Business Analytics Program, CDS219, Bangalore 560012 [Map]

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PhD Research Scholar -EDGE, Data Science

Bangalore, IN, 562122

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.  

Objective : To apply rich knowledge and research mindset and empower them to build rewarding and satisfying careers in the fields of transport and infrastructure. Structure:  Paid program of nine-month duration Eligibility:  PhD Scholars registered with any university in India or abroad in a relevant academic discipline, currently employed or doing projects in specifically identified areas (Currently pursuing PhD). Place of Work:  Bangalore

• PhD in Computer Science, Advanced Analytics, Data Science.
• Advantage if you have any industrial exposure or experience.
• Good grip on programming, OOPs, familiarity with Linux based systems, basics of cloud tech. Strong in scripting with Python, other languages, development of visualization tools for analytics.
• Data architecture, good in AI/ML algorithms and tools  - experience with programming in at least one language and environment.
• Good to have basic automotive domain knowledge, use of protocols in automotive . 

Are you someone that would like to be in the forefront of our technology journey to become world leaders in sustainable transport solutions? Do you want be part of defining and developing applications that gives our customers great value in transport solutions? Are you interested in Data, Maintainability, AI, Machine Learning and Onboard Algorithms? Then we are looking for you!

Working on advanced concepts using ML/DL and proof of values in the areas of customer uptime services - Predictive analytics on vehicle and systems health using diagnostics data for vehicle and a fleet.

Using EDGE computing to process high resolution data, and make quick decisions, independence from connectivity issues, data privacy, country specific regulations, cost for extracting data from our products etc.

We value your data privacy and therefore do not accept applications via mail. 

Who we are and what we believe in  Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.

Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. 

Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.

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Do we share the same aspirations?

Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society.

Joining Volvo Group, you will work with some of the world’s most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity.

Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect.

If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.

• www.volvogroup.com

© Copyright AB Volvo 2023

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BITS Pilani is a Deemed to be University, offering on-campus programs to more than 18,500 students across its campuses in Pilani, Goa, Hyderabad, Mumbai and Dubai.It has been recognized as an Institute of Eminence by the Ministry of Education, Government of India in 2020.

QS World University Subject Rankings 2024 has ranked BITS Pilani globally at

• 101-150 in Pharmacy and Pharmacology
• 301-350 in 4 subjects namely, EEE, Computer Science, Mechanical and Chemical Engineering
• 451-500 in 3 subjects, namely, Mathematics, Business & management Studies and Physics & Astronomy
• 501-550 in Chemistry

In ǪS Asia University Rankings 2024, BITS has been ranked 215th in Asia and at 22nd in India. Further, BITS Pilani has been ranked among the top 300 in ǪS World University Graduate Employability Rankings 2022 and within top 6 in India.

Having pioneered several curricular and pedagogic attributes, BITS Pilani has a vision to be amongst the top research-led Institutes in the country. The qualities of innovation, enterprise, commitment to excellence, adherence to merit, and transparency, have characterized the Institute during its inexorable march to eminence.

The Institute has secured over Rs 398 crores as external research funding in the last 5 years. State of the art facilities have been developed to support cutting edge research, led by students and about 930 faculty members, leading to a Scopus h-index of 156, with 221 patents filed so far, and 41 patents granted. Currently, there are 14 BITSian Unicorns and 1 Decacorn. There are over 7500 BITSian founders and co-founders of enterprises.

Doctoral Programme (Ph.D.)

List of Candidates shortlisted for Ph.D. Admission Test and/or Interview is now available

Admissions portal open 01st march 2024.

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List of Candidates shortlisted for Ph.D. Admission Test and/or Interview is now available.

• CLICK HERE to know the Result.

Department preference with regard to the full-time and part-time Ph.D student admission is given in the table below.

Yes – A Department intends to admit students under the specified mode. No – A Department does not intend to admit students under the specified mode.

Minimum Eligibility Qualifications

ME / MTech / MPharm / MBA / MPhil (minimum of 60% aggregate)* MSc/BE/BPharm or an equivalent degree (minimum of 60% aggregate)* For admission into Humanities and Social Sciences, MA degree (minimum of 55% aggregate)* For part-time applicants, a minimum of one-year experience in the related field of study is required

[*In the Qualifying Degree examination]

In addition, Departments may set specific admission criteria for shortlisting. Meeting the minimum eligibility qualifications does not guarantee admission into the PhD program. Shortlisted candidates will have to appear for an admission test, which may comprise a written exam and/or interview. Information on specific Departments and related research activities is available on the Department homepage of respective campuses.

Full-time students

Preferably individuals who would like to pursue PhD in-house, residing on campus.

Part-time students

Preferably individuals who are working in organizations providing basic facilities and an environment for research.

Financial Assistance

Full-time PhD students admitted into the PhD program are eligible to be considered for an Institute fellowship of Rs. 34,000 or Rs. 37,000 per month in the first year based on their qualifications at the time of admission. Students admitted with M.E./M.Tech./M.Pharm./MBA/M.Phil. or an equivalent Degree are eligible to receive an Institute fellowship of Rs. 37,000/-. Students admitted with M.Sc./B.E./B.Pharm. or an equivalent degree are eligible to receive an Institute fellowship of Rs. 34,000/-. These students on successful completion of coursework will receive Rs. 37,000/- from the Semester following the one in which the course work was completed Higher fellowship may be made available in subsequent years. Consideration for Institute fellowship will be as per Institute norms. It will be obligatory on the part of every admitted full time student to undertake 8 hours (per week) of work as assigned to him/her by the institute.

Important Dates

The Institute reserves the right to change the above deadlines. Candidates will be informed in advance should there be such a change.

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• Executive Post Graduate Programme in Data Science
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Accelerate your career in data science by mastering concepts of Analytics, Statistics, Machine Learning and Big Data from the most influential analytics leaders and academicians of India.

The 13-month online Executive PG Programme in Data Science, co-developed by IIIT Bangalore and powered by upGrad, covers the depth and breadth of the subject in the form of interactive lectures, live sessions and hands-on industry projects.

Program Highlights:

• Certified by IIIT-B & Alumni Status: Get certified by IIIT-B and gain dual alumni status (IIIT-B & upGrad) on successful completion of the program.                                      
• For The Industry, By The Industry: Learn from 60+ case studies and industry experts to mentor you throughout the program.
• Dedicated Career Assistance: Receive 360 degree career support from mock interviews with hiring managers, resume building, career fairs, industry mentors and much more.
• 5 Specialisations: Choose from 5 specialisations on the basis of your background and career aspirations and get the learning you want.                                               
• Personalised mentorship: Get unparalleled personalised mentorship and doubt resolution from IIIT-B faculty and upGrad’s panel of industry experts.
• Blended Learning: Learn with the ease and flexibility of recorded sessions as well as live sessions - designed to ensure a wholesome learning experience.

Please feel free to send an e-mail to [email protected] for any queries and clarifications."

Apply Now   Download Brochure     Enquiry

The program offers a right blend of statistics, technical and business knowledge. The curriculum has been designed with multiple industry leaders to ensure that you learn exactly what the employers need. Further, a Executive PG Program in Data Science from IIIT Bangalore gives you the additional credibility to chart your career in the field. The key areas of focus will be:

Course I - Data Toolkit: Start from the basics and understand statistical tools like SQL, Python, Statistics. Learn with an industry project & case study to strengthen your concepts.

Course II - Machine Learning - 1: Understand the relevance and power of prediction across industry verticals. By the end of the course, you will have an actionable knowledge of different machine learning algorithms and their applications.

Post Course II, choose from 1 of the 5 specialisations offered as per your background and career aspirations:

Specialisation I: Natural Language Processing

Specialisation II: Deep Learning

Specialisation III: Business Analytics

Specialisation IV: Business Intelligence/ Data Analytics

Specialisation V: Data Engineering

Industry Projects:

Below are a few industry relevant projects:

• IMDb Movie Analysis Analyze movie data from the past hundred years and find out various insights to determine what makes a movie do well.
• Uber Supply-Demand Gap Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it.
• Creditworthiness of Customers Learn how Predictive Analytics can be used to decide the creditworthiness of customers and whether they should be issued a credit card or not.
• Lead Scoring Learn how the knowledge of basic machine learning algorithms can be used to determine leads that are potentially convertible and save your Sales team time, money, and resources.
• Fraud Detection Decline fraud transactions on a credit card in real-time to minimize the losses so that customers are not charged for items that they did not purchase.
• Speech Recognition Learn how Google speech-to-text works and make your own model. 
• Image Captioning Build a model which will caption a given image and describe it in sentences in a detailed way like objects present, the actions they are doing, etc.
• Social Media Listening Learn how to acquire and analyse Twitter feed on a particular topic to predict and analyse how popular it is amongst the user-base.
• Telecom Churn Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them.
• Retail-Giant Sales Forecasting Help a retail-giant to have a clear idea of how their sales will look like in the future.
• Interactive Marketing Campaign Analysis Research and analyse data from a marketing campaign to gain valuable insights and determine the ‘yays’ and ‘nays’ of the campaign.

About the Program:

1. What is the Executive Post Graduate Program in Data Science with UpGrad and IIIT Bangalore? The Executive Post Graduate Program is an engaging, yet rigorous, 13-month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network and accelerate entry into data science careers.

2. What should I expect from the Executive Post Graduate Program in Data Science? Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

3. What should I NOT expect from the Executive Post Graduate Program in Data Science? The program is NOT going to be easy. It will require at least 12-15 hours of your time commitment per week to apply new concepts and execute industry relevant projects.

4. What topics are going to be covered as part of the program? The program is designed for working professionals looking for a transition into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into five tracks. These five tracks will have a common curriculum running for approximately 5-6 months that every student will go through after which they have to do any of the five specializations courses and a capstone project in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the five specializations are as follows: Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models Specializations: - Deep Learning: Advanced Machine Learning, Neural Networks - Natural Language Processing: Advanced Machine Learning, Natural Language Processing - Business Intelligence: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization - Business Analytics: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving - Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming and Processing 5. Can I sign up only for a few specific modules if I am interested? No, the program is designed to be completed in its entirety, and cannot be taken as standalone modules. 6. What type of learning experience should I expect? The content will be largely asynchronous, comprising of interactive lectures from industry leaders and world-renowned faculty. Additionally, the program comprises of live lectures and hangout sessions dedicated to solving your academic queries and reinforcing learning.

7. What is the time commitment expected for the program? At least 12-15 hours per week of time commitment is expected to be able to graduate from the program.

8. Is there any certification granted at the end of the program? Post completion of the program, a Executive Post Graduate Program in Data Science certificate would be awarded by IIIT – Bangalore.

Is The Program Right For Me?

1. How do I know if the program is right for me? If you enjoy deriving insights from data and using them to inform business decisions, and have an analytical bend of mind, then this program is meant for you.

2. How do I know which specialization is the best for me?

When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.

- Deep Learning: Engineers, Software and IT Professionals - Natural Language Processing: Engineers, Software and IT Professionals - Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers - Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert - Data Engineering: Software and IT Professionals

3. Is there any minimum educational qualification required to take this program? To be eligible for the program, the following criteria need to be fulfilled: College Degree: The applicant should have a Bachelor’s degree in science/engineering/business administration/commerce/mathematics/computer applications or Masters’ degree in mathematics/statistics/commerce with 50% or equivalent passing marks. 4. My current role in my company does not include data analysis. Does it make sense for me to opt for this program? Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. While there is a growing demand for quality data analysts, a constrained talent supply has made this career one of the most lucrative options across industries.

Selection Process:

1. What is the application process and what are the timelines? Please refer the website for the application process & the cohort start dates. You can start the application process by submitting the application. Applications have already started for the next cohort. https://www.upgrad.com/data-science-pgd-iiitb/

2. What is the selection process for this program? upGrad, IIIT-B, world renowned faculty and many industry leaders have committed a lot of time in conceptualizing and creating this program to make sure that the candidates can receive the best possible learning experience in data science. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion towards Data Science.

The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:

• GRE score is greater than 300
• GMAT score is greater than 650
• CAT score is greater than 90 percentile.

Program fee:

1. What is the program fee for the Executive Post Graduate Program in Data Science? The program is priced at INR 3,25,000/- with various flexible payment options.

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Programme on Data Science & AI (DSAI) – Batch 2

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Artificial Intelligence, Machine Learning, Big Data and Natural Language Processing form the pillars of the emerging discipline of data science. Managers who lead data science teams are required to possess a sound understanding of the underlying technologies. More importantly, they must also be able to communicate the strategic benefits of their efforts to stakeholders. The field of information systems provides the appropriate frameworks to build the business case for data science initiatives, and to analyse the shifts brought about by its application.

The Programme on Data Science & AI from IIM Bangalore will empower managers and other professionals to draw from the frameworks of data science and information systems, and guide their organizations along a forward-looking trajectory.

Programme Objective

This certificate series in data science exposes the participants to a large set of frameworks and technologies, and prepare them for data-intensive roles in retail, healthcare, marketing, supply chain management, finance, insurance and other industry sectors. The modules in the programme are suitable for managers who wish to develop a programming-oriented appreciation for their individual domains. Projects drawn from their own workplace settings will help them with the assimilation of the topics. By attending and completing the requirements of the Programme on DS & AI, the participant will learn how to:

• Develop a business perspective of the dynamic discipline of data science
• Gain a foundational understanding of the four pillars of data science: AI, ML, Big Data and NLP
• Solve computational problems using a personal laptop as well as a cluster
• Construct a business proposal for a data science initiative
• Identify ways in which organizations can inculcate a culture of data driven decision making

Key Benefits:

• Gain a foundational understanding of machine learning, big data and AI
• Identify ways in which organizations can inculcate data-driven decisions
• IIMB EEP Alumni Membership after successful completion of the programme

Programme Directors

Prof Shankar Venkatagiri has been a faculty in the Information Systems area at IIM Bangalore since 2002.  Prior to joining IIMB, Prof Shankar worked in the IT industry around Cambridge, USA.  As the IT Chair during the pandemic, he helped repurpose IIMB classrooms to reach students everywhere. Prof Shankar is interested in data science, healthcare, and agile methods. He teaches courses in big data analytics and information systems management. He currently directs the DSAI program, which focuses on data science. He has created and directed the GMHE program, which is aimed at healthcare professionals.

Prof Shankar holds a doctorate in mathematics and a masters in computer science from Georgia Tech. He is also an alumnus of IIT Kharagpur and the University of Southern California.

Prof Rahul De’ is Professor of Information Systems at IIM Bangalore. He joined IIMB in 2002 and served as the Hewlett-Packard Chair Professor in ICT for Sustainable Economic Development from 2004-18.

He teaches courses in Artificial Intelligence and Information Systems. His primary research interests are in AI Ethics, e-Government systems, Open Source, Digital Payments, Tele-medicine, and ICT for Development.

Highlights From The Previous Batch

Programme plan.

Participants Organisations

Participants Demographics

Target Audience

• Participants should have a Bachelors degree (in any stream) with mathematics as one of the core subjects.
• At least 3 years of work experience is preferred. Given that programming is critical to developing a working understanding of data science, we prefer participants with strong coding skills, who are willing to embrace a variety of languages and technology platforms.

Programme Content

• Python tutorial
• Descriptive statistics – variables and their visualisation, probability
• Random variables, binomial, Poisson and normal distributions
• Sampling, confidence intervals and parameter estimation
• Statistics for Business 1 – spreadsheet-driven elaboration of descriptive     statistics and probability; decision-making with Bayesian logic
• Statistics for Business 2 – R programming with a business use case, random variables, binomial, Poisson and normal distributions
• Inferential statistics – hypothesis testing framework, ANOVA, chi-squared tests
• Forecasting with time series
• Linear algebra and geometry
• The machine learning landscape
• Machine learning in practice
• Supervised models: Regression and classification
• Decision trees and random forests
• Support vector machines
• Dimension reduction and PCA
• Unsupervised models: clustering
• Machine learning at scale
• Cases: Mission Hospital (IIMB), Lead Generation at Eureka Forbes, Commonwealth Bank
• Industry Talks: Entrepreneurs who have built ML firms
• Tectonic movements in the landscape of data
• Volume: Structured data, Big Query, cloud computing
• The MapReduce construct, Hadoop
• Spark with Scala and Python – business applications
• Variety: Network analysis
• Velocity: Streaming applications
• Operational excellence, supply chain management
• The IoT movement, Industry 4.0
• Veracity: The case of Cambridge Analytica
• Cases: Customer Analytics at BigBasket (IIMB), 1920 Evil Returns (IIMB), Fiesta Gifts
• Industry Talks: Speakers from Amazon, Google & Microsoft, Target, etc.
• Industry Talks: Big data in Government, Healthcare, Marketing
• The AI Landscape
• Biological origins
• Historical perspective
• Optimisation and search
• Single and multi-layer networks
• The TensorFlow platform
• CNNs and RNNs
• Natural language processing
• Generative Adversarial Networks
• Reinforcement learning
• Genetic algorithms, ant colony optimisation
• Artificial life systems
• The Future of AI
• Cases: Tailored Brands, Intenseye, Distinct Software, Picking the Best Path, Edge Networks (IIMB)
• Industry Talk: Speakers from AIndra, Google and Microsoft
• The NLP Landscape
• NLTK and spaCy libraries
• Language models
• Sentence Classification
• Word & document embedding
• Information extraction
• Social Media
• Applications to E-Commerce & Retail
• Applications to Healthcare, Finance & Law
• Attention, transformers, BERT
• NLP at scale with Spark
• Industry speakers from Healthcare
• Cases: Cogent Labs

Programme Schedule & Payment Schedule

Programme Schedule

How To Apply for the Programme

• Please logon to  http://iimberpsrv.iimb.ernet.in/prod/sfeep.home  for registering and applying online
• The programme is listed under the “Long Duration Programme” Tab.

For any queries related to the programme, please contact Ms. Mohsina Jabeen on Phone no. +91-80-28993563; +91-78999 91516 or Email ID at  mohsina.eep @iimb.ac.in

Certificate Sample

A part time programme certificate of completion will be awarded by IIMB to participants upon successful completion of the programme and satisfying programme requirements.

Sample Certificate:

Note: Certificate image is for reference to potential participants only and may change at the discretion of Executive Education Programmes Office

Ms. Aditi Chaturvedi Landline No.: +91-80-26993380 Mobile No. +91-89512 81611 Email: [email protected]

Award of Certificate

Iimb eep alumni membership.

The participants become IIMB EEP alumni on successful completion of the programme and thereby gain access to the alumni network across various industry sectors.

Testimonials

AI (including ML) and Big Data are vast subjects. This course ensured a strong foundation specially in statistics, enabled a good grasp of various techniques and provided sufficient knowhow to explore further in each area. Even though advanced modules are technical in nature and require hands on coding, the case studies discussed provided valuable insights into real challenges faced by businesses. Personally, it felt great to be back in a classroom environment after many years and the experience elevated more so being taught by distinguished faculty from IIMB. Guest lectures were conducted by experts from various business domains and provided in-depth insight on how technology was implemented to solve problems. I am eternally grateful to IIMB for hybrid structure of the course which allowed me to participate from a different continent and time zone but allowed gave me the opportunity to visit the campus.

IIMB’s MPDS is a well-structured course for anyone looking to have a solid foundation in Data Science. I experimented with few MOOCs on Data Science an year before joining this course but struggled with maintaining rigor required for this field. Also, for many of the concepts, I felt the need to have a mentor to answer my queries. This program was a solution to my learning challenges. It provided a solid understanding of different pillars and tools of data science starting from statistics to AI to Big Data. Opportunity to ask queries in class, group discussions with a diverse cohort while working on carefully curated assignments helped in cementing the concepts well. There was a balanced focus on the mathematics and logic of ML algorithms along with applications that helped in building a holistic understating. Guest lectures from experts gave an industry perspective. I will strongly recommend this program to anyone looking to build a solid foundation in Data Science.

I found this program extremely useful in terms of skill and knowledge gaining, the program went right from Basics of statistics, Mathematics from R, Python, Machine learning, Big data, and AI. The course curriculum helped me understand the concepts in depth which , otherwise, would have been very difficult to cope up. Special thanks to Prof Shankar and Prof Rahul for extending support throughout the program.

At my day job I got an opportunity to work on a project based on AI Tech, which meant that I had to upskill in AI. I applied at multiple institutes, but IIMB was my first choice, i.e. if IIMB chose me; I had always aspired to study here. The IIMB journey phenomenal which started back in September 2022. IIMB taught us to never doubt our capabilities. I want to thank the course Directors Professor Shankar Venkatagiri & Professor Rahul De for their unwavering support throughout the course. By the end of the course, we got an opportunity to work with an NGO on an NLP based project which deals with Social Emotional Learning of Students. We were able to make a positive impact on the Indian Education System. The content of this course is carefully curated to meet the global standards. It dives deep into the mathematical fundamentals of the subject, which I think is the most important aspect in AI.

While at work, my activities are now focused only on Data & AI driven projects, which are familiar territories now. I have gained a perspective towards data driven decision making & IIMB has given me a lot more confidence in tackling business challenges through data. After this course, my approach to problem solving is a lot more practical, wholistic and mature.

Top-notch faculty, contemporary content, a great learning environment, and application orientation make the IIMB Exec Ed programmes world-class.

India's #1 Online Data Science Program*

Executive pg programme in data science.

Get upto 66% Hike in salary on course completion. EMI starting at ₹7,190/- Duration of the program : 12 Months Eligibility : Bachelor’s Degree with a minimum of 50% or equivalent passing marks. No Coding Experience Batch Start Date : Mar 31, 2024

Placement stats

57% avg salary hike, 1.23cr highest salary, 3500+ career transitions, 450+ hiring partners.

Companies that trust upGrad learners

This Program Will Kick-start your Data Science Journey. Here’s How.

400+ Hours Learning

Learn from world class experts with tests by domain experts.

Immersive learning platform

57 live learning sessions and 20+ expert coaching sessions.

60+ Industry Projects

Learn over 14+ tools with real life industry projects

Designed for Working Professionals

Equivalent to NSQF (National Skill Qualification Framework) level 8.

10X More Employable

Get access to 10X more job opportunities and get ahead of your peers

IIIT Bangalore Alumni Status

Opportunities to connect peer-to-peer with alumni from all over the world.

Program Instructors

Rajesh Sabapathy

Sr director, data science, uhg group.

• Rajesh has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique.

Vishwa Mohan

Linkedin, ex- walmart.

• An alumnus of IIT Varanasi, Vishwa has 10+ years if experience working in multiple MNCs for scaling solutions.

Kautuk Pandey

Visa, ex- apple.

• Kautuk has 10+ years of experience working in Data Science. He is a seasoned professional in Big Data, AWS, Pyspark and other technologies.

ML Engineering Manager, Meta

• An alumnus of IIT Bombay, UCB, and HBS with over 9 years of experience. Ankit has been recognised as 40 Under40 Data Scientist for 2022.

Ujjyaini Mitra

Head of analytics, zee5.

• An alumnus of McKinsey and Co, Flipkart and Bharati Airtel with over 11 years of experience.

Chandrashekar Ramanathan

Dean academics, iiitb.

• Prof. Chandrashekar has a PhD from Mississippi State University and experience of over 10 years in several multinational organisations.

CEO, Gramener

• An alumnus of IIT Madras, IIM Bangalore and LBS London, Anand is among the top 10 data scientists in India with 20 years of experience.

Tricha Anjali

Ex-associate dean, iiitb.

• Prof. Anjali has a PhD from Georgia Institute of Technology as well as an integrated MTech (EE) from IIT Bombay.

Behzad Ahmadi

Data scientist walmart labs.

• An M. Tech graduate and PhD from Jersey Institute of Technology, Behzad possesses tremendous years of experience in Data Science and ML.

Dr. Debabrata Das

Director, iiitb.

• Dr. Debabrata Das is Director of IIITB. He has received his PhD from IIT-KGP. His main areas of research are IoT and Wireless Access Network.

Prof. G. Srinivasaraghavan

Professor, iiitb.

• Prof. Srinivasaraghavan has a PhD in Computer Science from IIT-K and 18 years of experience with Infosys and several other MNCs.

Mirza Rahim Baig

Analyst lead, zalando.

• Mirza is a veteran professional with 10+ years of experience in applications of data science, machine learning in e-commerce and healthcare.

Sajan Kedia

Ex- data science lead, myntra.

• Sajan graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.

Learn with a world class curriculum

Pre-programme preparatory content, topics covered:.

Data Analysis in Excel

Analytics Problem Solving

Course1: Data Toolkit (13 Weeks)

Introduction to Python

Programming in Python

Python for Data Science

Data Visualization in Python

Exploratory Data Analysis

Credit EDA Case Study

Inferential Statistics

Hypothesis Testing

Data Analysis using SQL

Advanced SQL & Best Practices

SQL Assignment: RSVP Movies

Course 2: Machine Learning (8 Weeks)

Linear Regression

Linear Regression Assignment

Logistic Regression

Classification using Decision Trees

Basics of NLP and Text Mining

Unsupervised Learning: Clustering

Business Problem-Solving

Clustering Assignment (Optional)

Case Study: Lead Scoring

Specialisation: Deep Learning (25 Weeks)

Tree Models

Model Selection & General ML Techniques

Bagging and Boosting

Advanced Regression

Advanced Regression Assignment

Principal Component Analysis

Time Series Analysis

Telecom Churn Case Study

Introduction to Neural Networks

Convolutional Neural Networks - Introduction and Industry Applications

CNN Assignment

Recurrent Neural Networks

Gesture Recognition

Capstone Project

Specialisation: Natural Language Processing (25 Weeks)

Bagging & Random Forest

Advanced ML case Study

Time Series Forecasting

Neural Nets for NLP

Syntactic Processing

Syntactic Processing Assignment

Semantic Processing

Applied DL in NLP

Case Study: Automatic Ticket Classification

Specialisation: Business Analytics (22 Weeks)

Visualisation using Tableau

Advanced Excel

Visualisation using PowerBI

Structured Problem Solving using Frameworks

Data Storytelling

AirBnB Case Study

Model Selection Case Study

Operations Research in Excel

Data Architecture

Data Strategy

Business Case Study

Specialisation: business intelligence/ data analytics (22 weeks).

Data Modelling

Advanced SQL and Best Practices

Introduction to Big Data and Cloud

Analytics using Spark

Big Data Case Study

Data Structures - Sets, Dictionaries, Stacks, Queues

Searching and Sorting

Algorithm Analysis + Recursion

Advanced Database Programming using Pandas

Python & SQL Lab

Specialisation: Data Engineering (22 Weeks)

Data Management and Relational Database Modelling

Introduction to Big Data(Optional)

Introduction to Cloud and AWS Setup

Introduction to Hadoop and MapReduce Programming

Assignment (Optional)

NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)

Data Warehousing (Optional)

Data Ingestion with Apache Sqoop and Apache Flume

Map reduce Programming Assignment

Hive & Querying

Amazon Redshift

Introduction to Apache Spark

Project: ETL Data Pipline

AWS Cloud Infrastructure (Optional)

Optimising Spark for Large Scale Data Processing

Apache Flink(Optional)

Real-Time Data Streaming with Apache Kafka

Real-Time Data Processing using Spark Streaming

Building Automated Data Pipelines with Airflow

Analytics using PySpark

Project: Real Time data processing

Download Syllabus

Get a real world understanding through industry projects, mapreduce programming assignment.

Perform MapReduce Programming in a big data environment on a large dataset.

ETL Project

Make use of Sqoop, Redshift & Spark to design an ETL data pipeline.

Retail Project

Build an end-to-end real-time data processing application using Spark Streaming and Kafka.

Credit EDA Assignment

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the applicants are capable of repaying the loan are not rejected.

RSVP Case Study

In this assignment, you will work on a movies dataset using SQL to extract exciting insights about popular films and the factors that drive a film.

Bike Sharing Assignment

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.

Lead Scoring Case Study

In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavioral data of the leads (potential buyers), it will be able to identify the ones most likely to convert.

Understand how a big data project in the industry is taken up and solved through a comprehensive big data case study on cloud.

Airbnb Case Study

Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.

SQL & Python Lab

Solve intensive programming questions in a competitive lab environment to showcase and evaluate your SQL and Python coding skills.

Model Selection Case Study - Telecom Churn

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.

Understand how data projects are taken up in the industry and implement the steps required to successfully manage and complete a data project.

Advanced ML Case Study - Telecom Churn

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.

NN Assignment

In this assignment, you will build a complete neural network using Numpy. You will implement all the steps required to build a network - feedforward, loss computation, backpropagation, weight updates etc. You will use the MNIST dataset to train your model to classify handwritten digits between 0-9.

Gesture Recognition Case Study

Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.

Use the techniques such as POS tagging and Dependency parsing to extract information from unstructured text data.

Automatic Ticket Classification Case Study

In this case study you will create a solution that will help in automating the classification of different complaint tickets raised by the customers of a multinational bank.

Tools and Technologies Covered

Admission Process

• 1 Click on Apply Now
• 2 Complete the application form
• 3 Clear the admission test
• 4 Pay to reserve your seat

Pricing Plans & Program Fees

Empowering learners of tomorrow Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

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• Rigorous and job ready curriculum developed in collaboration with industry experts
• Access to job opportunities in FAANG companies
• 360 Degree Career Support with Mentorship from Industry Experts
• Networking opportunities with 10,000+ alumni & leading industry experts

See what our learners say

Sheik Junaid

" Carefully curated content, constant support from the student mentor and a whole team dedicated to make the online study experience as smooth as possible had all played their part in my journey to say the least. I'll be grateful to my family and cannot praise the UpGrad team enough to enable potential in students like me to dream further and make it happen. Curriculum was spot on and well crafted.... "

Kunwar Alok

" You may not believe it but I had never done coding in my life. I did it during this course and was thrilled to see the outcomes coming out of those codes. Just the way I used to get happy after solving a good (tough) math problem during my school age. Thanks to upGrad for providing a great service to people like us who at the age of 43 can dream to study with budding talents around. "

Deepak Chaubey

" Thrilled to share the multifold growth, I have cultivated as part of learning from Upgrade Out of many if I have to articulate here are top few: Confidently career transition Gaining an edge with the degree certification while working. Leverage Broad Network, social connect and specialized personal coaching with leading industry mentors....referral benefits etc. "

Shravani Shahapure

" For someone who really wants to pursue a career in the field of Data Science, it is worth opting for the complete course by IIITB and upGrad. IIITB and upGrad’s online program on Data Science gives many opportunities and develops students for their future as they provide the best professors, thought-provoking assignments and case studies. "

Sidharth Mahapatra

" The concepts of R programming and Machine Learning will be taught by Prof. Chandrasekhar Ramanathan and Prof. G Srinivasaraghavan respectively. Both of them have been listed in the list of the top twenty most prominent Data Science academics published by Analytics India Magazine. So you need not worry about quality of teaching in this program. "

Sagar Tekwani

" A very well-structured and well-balanced program content which you won’t get in other programs/nano-degrees. Being a beginner in DS, I found the structure of Executive PG Programme from IIITB and upGrad most helpful. They even teach you most of the prerequisites with prep sessions before you even start the course. Being a working professional, it was neither too difficult nor too easy to keep up with the pace of the course. "

Frequently Asked Questions

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Course Curriculum

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No Cost Credit Card EMI FAQ's

Selection Criteria

How do I know if the programme is right for me?

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What is the selection process for this programme?

•    -  GRE score is greater than 300
•    -  GMAT score is greater than 650
•    -  CAT score is greater than 90 percentile
•    -  GATE score is greater than 500

Is there any minimum educational qualification required to take this programme?

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