Kick-start your Data Science journey with a globally recognised Master's from Liverpool John Moores University. Start learning at Rs. 11,850 per month.

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5 out of 6 Learners

Bachelor's degree with minimum 50% or equivalent passing marks and successful completion of the Executive PG Program in Data Science from IIITB.

Eligibility

Program Overview

Key Highlights

Complimentary Python Programming Bootcamp

Career Essential Soft Skills Program

Only online M.Sc in DS for working professionals

500+ Hours of Learning

60+ Case Studies and Projects

Fortnightly Group Mentorship with Industry Mentors

Timely Doubt Resolution

Support available 7 days, 24x7

IIIT Bangalore & LJMU Alumni Status

Global access to job opportunities

No Cost EMI Option

NASSCOM certificate

Career mentorship Sessions(1:1)

AI Powered Profile Builder

Just-in-Time Interviews

High Performance Coaching(1:1)

Personalised Industry Session

Career Bootcamp

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

Top Subjects you will learn

Statistics, Predictive Analytics using Python, Machine Learnview more

Job Opportunity

Data Analyst, Data Scientist, Product Analyst, Machine Learnview more

Who Is This Programme For?

Any specialization can be chosen regardless of background. Tview more

Minimum Eligibility

Bachelor’s Degree with minimum 50% or equivalent passing marview more

Syllabus

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

Download Syllabus

Programming Languages and Tools

LJMU

IIIT Bangalore

Master's Degree from LJMU

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

Click to zoom

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 Subjects You Will Learn

Statistics, Predictive Analytics using Python, Machine Learnview more

Job Opportunity

Data Analyst, Data Scientist, Product Analyst, Machine Learnview more

Target Audience

Any specialization can be chosen regardless of background. Tview more

Minimum Eligibility

Bachelor’s Degree with minimum 50% or equivalent passing marview more

Empowering learners of tomorrow

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

Our Learners Work At

Top companies from all around the world have recruited upGrad alumni

Placement Support

Your career needs to grow with you!

Personalised Industry Session

Sessions by an industry expert for a small group of 10-12 learners with similar profiles to discuss real life applications of concepts and personalised coaching

High Performance Coaching (1:1)

Get a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey.

Career Mentorship Sessions (1:1)

Get personalised career landscaping from experts to chart out best opportunities

Profile Builder (AI Powered)

An easy to use Resume, LinkedIn and Cover Letter preparation tool.

Jobs on Career Centre

Career Centre offering upGrad jobs across experience levels and CTC ranges.

Interview Preparation

Support in polishing your hard skills and soft skills for interview preparation

Instructors

Learn from leading Data Science faculty and industry leaders

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 Business School, Anand is among the top 10 data scientists in India.

Sajan Kedia

Data Scientist

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

Mirza Rahim Baig

Analytics Lead

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

Prof. Tricha Anjali

Former 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

Ujjyaini Mitra

Head of Analytics

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

Prof. G. Srinivasaraghavan

Professor

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

Ankit Jain

Sr. Research Scientist

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

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.

Debabrata Das

Director, IIITB

He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.

Dr. Atif Waraich

Faculty - Computer Science

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

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

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

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

Bijoy Kumar Khandelwal

COO, Actify

Bijoy comes with a deep understanding of the private and cloud architectures and has helped numerous companies make the transition.

Syllabus

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

Download Brochure

500+

Hours of Learning Content.

25+

Case Studies and Projects

20+

Live Sessions

14+

Tools and Software

Pre-Program Preparatory Content

Data Analysis in Excel
Analytics Problem Solving

Data Toolkit

12 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
Advaced SQL & Best Practices
SQL Assignment: RSVP Movies

Machine Learning

10 Weeks

Linear Regression
Linear Regression Assignment
Logistic Regression
Classification using Decision Trees
Unsupervised learning: Clustering
Basics of NLP and Text Mining
Business Problem Solving
Case Study: Lead Scoring

Specialization- Deep Learning

22 Weeks

Bagging & Random Forest
Boosting
Model Selection & General ML Techniques
Principal Component Analysis
Advanced Regression
Advanced ML case Stuy
Time Series Analysis
Introduction to Neural Networks and ANN
Neural Network Assignment
Convolutional Neural Networks
Convolutional Neural Networks -Industry Applications
Object Detection & Image Segmentation (Optional)
Recurrent Neural Networks
Gesture Recognition
Capstone Project

Specialisation - Business Intelligence/Data Analytics

22 Weeks

Visualisation using Tableau
Advanced Excel
Visualisation using PowerBI
Structured Problem Solving using Frameworks
Data Storytelling
AirBnB Case Study
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
Capstone Project

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
Assignment (Optional)
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
Assignment (Optional)
Building Automated Data Pipelines with Airflow
Analytics using PySpark
Project: Real Time data processing
Capstone Project

Specialisation - Natural Language Processing

22 Weeks

Bagging & Random Forest
Boosting
Model Selection & General ML Techniques
Principal Component Analysis
Advanced Regression
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
Capstone Project

Specialisation - Business Analytics

22 Weeks

Visualisation using Tableau
Advanced Excel
Visualisation using PowerBI
Structured Problem Solving using Frameworks
Data Storytelling
AirBnB Case Study
Bagging & Random Forest
Model Selection & General ML Techniques
Time Series Forecasting
Model Selection Case Study
Operations Research in Excel
Data Architecture
Data Strategy
Business Case Study
Capstone Project

Research Methodologies

8 Weeks

Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Scientific Ethics

Master's Dissertation

16 Weeks

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

Specialisations

You can choose one of the 6 specialisation, based on your interest.

Topics Covered

Deep Learning

22 Weeks

Bagging & Random ForestBoostingModel Selection & General ML TechniquesPrincipal Component AnalysisAdvanced Regression Advanced ML case StuyTime Series AnalysisIntroduction to Neural Networks and ANNNeural Network AssignmentConvolutional Neural NetworksConvolutional Neural Networks -Industry ApplicationsObject Detection & Image Segmentation (Optional)Recurrent Neural NetworksGesture RecognitionCapstone Project

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

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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Credit EDA Case Study

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

Learn More

Bike sharing systems (Linear Regression Assignment)

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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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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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

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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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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RSVP Movies (SQL Assignment)

In this assignment, you will work on a movies dataset using SQL to extract exciting insights.

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Hive Case Study

In this assignment, you will apply your Hive and Hadoop learnings on an E-commerce company dataset.

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ETL Project

This is an ETL project which will cover the topics like Apache Sqoop, Apache Spark and Apache Redshift

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Assignment - Structured Problem Solving

This assignment will test the learners understanding of the previous 2 modules on structured problem solving 1 and 2

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IPL Visualisation Assignment

With the IPL season commencing, let's go ahead and do an exciting assignment on sports analytics in Tableau.

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Advanced Regression

Build a regularized regression model to understand the most important variables to predict the house prices in Australia.

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NYC Parking: EDA using Apache Spark

Analyse the dataset of parking tickets

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MapReduce Programming Assignment

Practice MapReduce Programming on a Big Dataset.

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Business Case Study - Staff Planning

In this module, you will solve an industry case study using optimisation techniques

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Assignment - Classification

This module will contain practice assignment & all resources related to a classification based problem statement.

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The upGrad Advantage

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

Learning Support

Industry Expert Guidance
Student Support: Student Support is available 7 days a week, 24*7 You can write to us via studentsupport@upgrad.com or for urgent queries, use the "Talk to Us" option on the Learn platform.

Career Assistance

Career Mentorship Sessions (1:1)
High Performance Coaching (1:1)
AI Powered Profile Builder
Interview Preparation

Practical Learning and Networking

Networking & Learning Experience

Job Opportunities

upGrad Elevate: Virtual hiring drive giving you the opportunity to interview with upGrad's 300+ hiring partners
Job Opportunities Portal: Gain exclusive access to upGrad's Job Opportunities portal which has 100+ openings from upGrad's hiring partners at any given time
Be the first to know vacancies to gain an edge in the application process
Connect with companies that are the best match for you

Student Reviews

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

Savita Upadhaya

4 years experience

It has been an amazing journey with upGrad till now. Starting with their course material to live sessions to mentor support, each helps you to always be on track and progress efficiently with the Data Science course. My sincere thanks to the entire team of upGrad and Professors of IIITB for showing me the path and direction for my dream to become a Data Analyst.

Tuhin Pal

5 years experience

I appreciate the platform upGrad has provided and how they have arranged modules and assignments. Modules are locked until you complete the previous one, so it feels like clearing a semester and going to the next one.

Shravani Shahapure

16 years experience

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.

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