India's best selling program with 4.5* star rating. Learn in-demand skills to drive your organisation towards a new future through data-driven decision making.

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INTRO VIDEO

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With Industry Experts From

12600+

Students Empowered

Online

Format

-- months

Duration Recommended 10-12 hrs/week

300+

Hiring Partners

Program Overview

Key Highlights

Designed for Business Leaders

75+ Case Studies and Projects

Personalised Industry Mentorship

IIIT Bangalore & LJMU Alumni Status

Peer-to-Peer Networking

upGrad has been instrumental in helping us in finding candidates with key skill sets in Data Science and Analytics
- Val S, Director at Animaker

Over 500 Careers Transformed

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

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Programming Languages and Tools

LJMU

IIIT Bangalore

Master's Degree from LJMU

Complete all the courses successfully to obtain this prestigious recognition from LJMU.

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Connect with Global network of Faculty from LJMU
Get access to complete digital library of LJMU
Earn a Master's degree same as on-campus degree at 1/10th the cost

Top Skills You Will Learn

Identifying business problems, creating machine learning pipview more

Who is this program for

Business Unit Heads, Management Consultants, Product Managerview more

Empowering learners of tomorrow

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

Instructors

Learn from leading Data Science faculty and industry leaders

Dr. Gabriela Czanner

Faculty - Engineering and Technology

A Senior Lecturer in Statistics and Data Science at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support

Prof. Paulo Lisboa

Head of Dept - Applied Mathematics

Studied mathematical physics at LU and was the chairman of Industrial Mathematics at LJMU in 1996 and Head of Graduate School in 2002

Dr. Atif Waraich

Faculty - Computer Science

A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the healthcare domain

Prof. Dhiya Al-Jumeily

Professor - Artificial Intelligence

A Senior Member of the IEEE and a Chartered IT Professional. He is a fellow of the UK Higher Education Academy

Chandrashekar Ramanathan

Dean - Academics

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

Tricha Anjali

Associate Dean

Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. She is currently the dean of IIIT-B

Prof. S. Sadagopan

Director

Prof. Sadagopan is the Director of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons.) degree from Madras University

Anshuman Gupta

Director, Data Science

He has a Ph.D. (Dual) from Penn State University as well as a B.Tech. Degree from IIT Bombay.

Ujjyaini Mitra

Head of Data Science

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

Ankit Jain

Sr. Research Scientist

An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.

Mirza Rahim Baig

Lead Business Analytics

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

Sajan Kedia

Lead Data Scientist (Pricing)

An alumnus of IIT with over 7 years of experience working on Watson at IBM Research, Startups & Myntra

Hindol Basu

CEO

An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as the CitiGroup, Tata Industries, etc.

Learning

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments, and live sessions

Download Brochure

300+

Hours of Content Learning

75+

Case Studies and Project

20+

Live Sessions Overall

Preparatory Course

2 Weeks

Introduction to Excel
14hr 59min
Analytics Problem Solving
12hr

Analytics as a strategic lever

6 Weeks

1 Assignments

Anatomy of Decisions
7hr
Anatomy of Data
7hr 59min
From Data to Decisions
6hr 59min

Traditional Decision Making Strategies

7 Weeks

2 Assignments

Exploratory Data Analysis
15hr
Data Story Telling
6hr
Inferential Statistics
9hr
Hypothesis Formulation & Testing
8hr 30min

Decision Making using Machine Learning

7 Weeks

1 Assignments

Decision Making using ML
90hr
Decision Making using Regression Models
97hr
Decision Making using Classification Models
6hr 39min
Unsupervised Learning
8hr 20min

Decision Making using Advanced Models

8 Weeks

2 Assignments

Ensemble Models
90hr
Optimization
80hr
Deep Learning
8hr 19min
Natural Language Processing
6hr 40min
Introduction to AI
6hr 59min

Data Engineering & Deployment

5 Weeks

1 Assignments

Basics of Data Engineering
71hr
Fundamentals of Deployment
91hr

Data Science Project Management

5 Weeks

1 Assignments

Developing a Business Case for an Analytics Project
64hr 30min
Data Science Project Management
97hr 30min
Data Security & Ethical use of Data
6hr 39min

Capstone Project

6 weeks

1 Assignment

Capstone project
58hr 20min

Bridge Course: Road to Masters

6 weeks

Introduction to Python
12hr
Python for Data Science
10hr
Math for Machine Learning
9hr
Math behind Regression Algorithms
10hr
Math behind Classification Algorithms
12hr
Math behind Unsupervised Learning
12hr

Research Methodologies

4 weeks

0 assignment

What is Research ?
Types of research
Research process
Data collection
Report writing and presentation
Scientific ethics

Master's Dissertation

16 weeks

0 assignment

Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods
Investigate a diagnosis of eye diseases using imaging ophthalmic data
Structure medical images with information geometry
Using Social media feed to place tweets regarding natural disasters on a map
Preventing credit card fraud through pattern recognition
Developing a recommender system for a Media giant
Risk modelling for Financial activities and Investment Banking

Industry Projects

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

Engage in collaborative projects with student-mentor interaction
Benefit by learning in-person with expert mentors
Personalised subjective feedback on your submissions to facilitate improvement

Uber Supply-Demand Gap

Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it.

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Creditworthiness of Customers

Learn how Predictive Analytics can be used to decide the creditworthiness of customers and whether they are issued a credit card or not

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Speech Recognition

Learn how Google speech-to-text works and make your own model.

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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.

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Social Media Listening

What if you could predict the popularity of a brand like upGrad in India?

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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.

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IMDb Movie Analysis

Analyze movie data from the past hundred years and find out various insights to determine what makes a movie do well.

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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.

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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.

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Retail-Giant Sales Forecasting

Help a retail-giant to have a clear idea of how their sales will look like in the future.

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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.

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The upGrad Advantage

Strong hand-holding with dedicated support to help you master Data Science

Regular 1-on-1 interaction with Industry Experts

Discussions on career growth and industry expectations
Feedback on project work and assignments

Dedicated Student Success Mentors

Help in learning plans ensuring consistent progress
Resolve non-academic queries for smooth learning experience

Doubt Resolution on Q&A Forums & WhatsApp Groups

Timely doubt resolution by qualified teachers
Regular live Q&A sessions with experts

Networking with Industry Experts & Peers

Live sessions by industry experts on relevant topics
Interaction with experts and peers in online and offline events translating into new job opportunities

Job Placement Assistance

Personalised resume building exercise
Mock interviews with our hiring experts
Job Interviews with 300+ hiring partners

Career Transition Handbook

Learn more about successful career transitions from PG Diploma in Data Science by IIIT Bangalore

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Student Reviews

Vibhor Srivastava

Deputy Manager, ICICI Bank4.5 years experience

The PGD-DA course from upGrad and IIIT-Bangalore has been a boon for me and it has helped enhance my skills in Excel, SQL, R, etc.

Detailed Review

Rutuja Mowade

Analyst, Nice4 years experience

It doesn’t matter what your previous working background is, as everything is taught from the basics.

Detailed Review

Anshu Srivastava

Reaserach Assistant, Nice6 years experience

Group case studies really give a sense of teamwork, as it happens in regular classroom studies. It teaches us coordination and right attitude as a team player in meeting all the deadlines.

Detailed Review

Gangadhar Mathyam

Data Analyst, Tech Mahindra2 years experience

They will prepare you how to face Data Science job interviews. Along with this, upGrad will also provide mock interviews and mock mcqs tests to check your capability for the interviews.

Detailed Review

Kunwar Alok

15 years experience

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

Sachin Aggarwal

18 years experience

Learning with IIITB and UpGrad has been an experience like no other. Being an online program, you have your worries about how the program and teaching methods will be. My favourite part about the learning experience has been programming through well designed and thoughtful content shared by IIITB professors and industry experts on UpGrad platforms. Kudos to UpGrad.

Harkirat Dhillon

8 years experience

A dedicated regimen for studying the program and keep learning is the key to be successful and pass the program. This program will help build a strong foundation for successful transition to data science. Additionally, participating in hackathons and competitions to solve real world problems will definitely give you an edge and land a job if one is willing to work hard.