Advanced Program in Data Science Training (IIIT-B)

Complete all courses successfully to obtain this prestigious recognition from IIITB. Receive an additional Honours Certificate on achieving 3+ CGPA in the program.

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Connect with a global network of accomplished IIITB Alumni
Widely recognised and valued Advanced Program in Data Science
Network with Data Science and Data Analyst professionals across all industries
Receive an additional Honours Certificate on achieving 3+ CGPA in the program

Our Learners Work At

Top companies from all around the world have recruited upGrad alumni

Instructors

Learn from India’s leading Data Science faculty & industry experts

Prof. Chandrashekar Ramanathan

Dean, Academics

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

S. Anand

CEO

A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London School of Business, Anand is among top 10 data scientists in India with 20 years of experience

Sajan Kedia

Data Scientist

Prof. Tricha Anjali

Associate Dean

Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. Her research interests include computer and wireless networks.

Mirza Rahim Baig

Analytics Lead

Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains

Prof. Dinesh Babu Jayagopi

Associate Professor

Prof. Dinesh has a Ph.D. from Ecole Polytechnic Federate Switzerland, M.Sc. from IISc Bangalore in System Science and Signal Processing and B.Tech. from Madras Institute of Technology.

Prof. G. Srinivasaraghavan

Professor

Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies as well as several other Fortune 500 companies.

Ujjyaini Mitra

Head of Data

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

Behzad Ahmadi

Data Scientist

Behzad Ahmadi is a PhD from New Jersey Institute of Technology. He has over 3 years of experience as a data scientist, experience with data analytics

Sagar Jounkani

Senior Data Scientist

An alumnus of Georgia Institute of Technology, Sagar has over 6 years of experience in data analytics in the 'US healthcare' and 'E-commerce' domains.

Rajesh Sabapathy

Director Data Science

As a Data Science Director, Rajesh solves hard business problems to improve healthcare by applying Deep Learning algorithms.

Utkalika Badu

Vice President, Data Science

An alumnus of IIM Calcutta, Utkalika has over 15 years of experience in business analytics, quantitative research and client advisory.

Tools Covered

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

Collaborative projects with peers
In-person learning with expert mentors
Personalized feedback to facilitate improvement

IMDb Movie Case Study

Reinforce the concepts learnt in data science through this rigorous case study involving the past hundred years of movie data.

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Uber Supply Demand Assignment

In this assignment, you will work on solving Uber's demand supply problem using the concepts of visualisation and EDA

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Statistics Case Study

Solve a real industry problem through the concepts learnt in exploratory data analysis.

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Linear Regression Assignment - Bike Sharing Systems

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

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Case Study: Lead Scoring

Help the Sales team of your company identify which leads are worth pursuing through this classification case study.

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Clustering Assignment

Apply the machine learning concepts learnt to help an international NGO cluster countries to determine their overall development and plan for lagging countries.

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Telecom Churn Case Study

Solve the most crucial business problem for a leading telecom operator in India and southeast Asia - predicting customer churn.

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Visualisation and Storytelling Case Study

Understand how a project in the industry is taken up and solved through a comprehensive business case study.

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Admission Process

There are 3 simple steps in the Admission Process which is detailed below:

Step 1

Step 1: Take the Online Eligibility Test

Complete your application to take the 17-minute online eligibility test with 11 questions to kick-start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you're ready for the program.

Step 2

Step 2: Get Shortlisted & Receive your Offer Letter

Our Admissions Committee will review your test score & profile. Upon qualifying, an Offer Letter will be sent to you confirming your admission to the Advanced Program in Data Science.

Step 3

Step 3: Block your Seat & Begin the Prep Course

Reserve your seat by paying the block amount to enroll into the programme. Begin with your Prep course and start your Data Science journey!

Refer someone you know and receive cash reimbursements of up to $500!*

*More details under the referral policy under Support Section

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