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Master of Science in Data Science

Kick-start your Data Science journey with Globally Recognised Master's from Liverpool John Moores University .

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Intro Video
With Industry Experts From
  • 40,000+
    Paid Learners
  • Online
    Format
  • 20 Months
    Recommended 13 hrs/week
  • Jan 30, 2022
    Start Date
  • Financing
    Starts at $208.31/month
  • Overview
  • Instructors
  • Syllabus
  • Benefits
  • Admission Process
  • Program Fee
  • Hiring Partners
  • Reviews
About the Program

Choose from 3 specializations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more

3 Unique Specializations

Choose from 3 specializations as per your background & career aspirations. Get a Executive PG Program in Data Science from IIITB with a specialization.

Dedicated Career Assistance

Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers.

Student Support

Student support available all days 24 hours via email or use the Call Back option on the platform to get a response within 2 working hours.

Program Overview

Key Highlights

  • Complimentary Python Programming Bootcamp
  • Career Essential Soft Skills Program
  • WES Recognised
  • 500+ Hours of Learning
  • 25+ Case Studies and Projects
  • Fortnightly Group Mentorship with Industry Mentors
  • One-on-One with Industry Mentors
  • Timely Doubt Resolution
  • Support Available all days 24 hours.
  • IIIT Bangalore & LJMU Alumni Status
  • Build your GitHub profile

3 Unique Specializations to choose from
- Deep Learning
- Business Intelligence/ Data Analytics
- Data Engineering

Empowering learners of tomorrow

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

By clicking Start Application, you agree to our terms and conditions and our privacy policy.

How You Benefit From This Program
  • M.Sc & Executive PGP without quitting your job
  • Cutting-edge curriculum designed by industry experts
  • Alumni status from IIIT Bangalore & LJMU
  • Upskill yourself with 500+ learning hours
  • Top Skills You Will Learn
    Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.
  • Advance Your Career In
    Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst
  • Who Is This Program For?
    Any specialization can be chosen regardless of background. The program caters to: Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals
  • Minimum Eligibility
    Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Syllabus

Experience 500+ hours of best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

Programming Languages and Tools Covered

Master's Degree from LJMU

With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.

  • Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
  • Get access to the complete digital library of LJMU to research & write your dissertation
  • Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program
Master's Degree from LJMU
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Instructors

Learn from leading Data Science faculty and industry leaders

Dr. Gabriela Czanner
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
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
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
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
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
Tricha Anjali
Ex- 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
Debabrata Das
Debabrata Das
Director, IIITB
He is PI and nodal officer of the project under the National Mission for Interdisciplinary Cyber-Physical Systems.
Anshuman Gupta
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
Ujjyaini Mitra
Head of Data Science
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Ankit Jain
Ankit Jain
Sr. Research Scientist
An alumnus of IIT Bombay, UCB, and Harvard Business School with over 9 years of experience.
Mirza Rahim Baig
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
Sajan Kedia
Lead Data Scientist (Pricing)
An alumnus of IIT with over 7 years of experience working on Watson at IBM Research, Startups & Myntra
Prof. G. Srinivasaraghavan
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.
Colin Hagemeyer
Colin Hagemeyer
Data Scientist
He is instrumental in helping companies use data to aid in decision making. His interests include applying machine learning to computer vision.
Behzad Almadi
Behzad Almadi
Data Scientist
Along with extensive experience in Machine Learning and Neural Networks, he has been an Adjunct Professor at Northeastern University and New Jersey Institute of Technology.
S. Anand
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.
Bijoy Kumar Khandelwal
Bijoy Kumar Khandelwal
Chief Operating Officer
Bijoy comes with a deep understanding of the private and cloud architectures and has helped numerous companies make the transition.
Prof. Dr. V. Sridhar
Prof. Dr. V. Sridhar
Faculty in Charge, CPE, IIITB
Dr. Sridhar has a Ph.D. from the University of Iowa, U.S.A. He has been a member of Government of India committees on Telecom & IT and has published many peer reviewed articles in telecom and information systems journal.

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
  • Pre-Program Preparatory Content
    • 2 Weeks
  • Data Toolkit
    • 14 Weeks
    • 2 Assignments
  • Machine Learning
    • 9 Weeks
    • 3 Assignments
  • Specialization- Deep Learning
    • 25 Weeks
    • 4 Assignments
  • Specialization- Business Intelligence/Data Analytics
    • 25 Weeks
    • 9 Assignments
  • Specialization- Data Engineering
    • 25 Weeks
    • 11 Assignments
  • Research Methodologies
    • 8 Weeks
  • Master's Dissertation
    • 16 Weeks
  • 500+
    Hours of Content
  • 25+
    Case Studies and Projects
  • 20+
    Live Sessions
  • 25
    1:8 Coaching Sessions with Industry Experts
  • 14+
    Tools and Software

Specializations

You can choose one of the 3 specialization, based on your interest.

  • Deep Learning
  • Business Intelligence/Data Analytics
  • Data Engineering

  • Topics Covered

    Deep Learning
    • 25 Weeks
    • 4 Assignment
    Tree Models
    Model Selection & General ML Techniques
    Principal Component Analysis
    Advanced Regression
    Advanced Regression Assignment
    Bagging and Boosting
    Time Series Analysis
    Telecom Churn Case Study
    Introduction to Neural Networks
    Neural Networks Assignment
    Convolutional Neural Networks - Introduction and Industry Applications
    Recurrent Neural Networks
    Gesture Recognition
    Capstone project

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More

  • Topics Covered

    Business Intelligence/Data Analytics
    • 25 Weeks
    • 9 Assignment
    Data Modelling
    SQL Best Practices
    SQL Assignment: IMDb Movies
    Advanced Excel
    NoSQL Databases and Best Practices
    Introduction to Big Data and Cloud
    Hive and Querying
    Hive Case Study
    Visualisation using Tableau
    Sports Analytics - IPL Visualisation Assignment
    Visualisation using PowerBI
    Visualisation using Plotly
    Data Storytelling
    Plotly Case Study
    Capstone Project

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More

  • Topics Covered

    Data Engineering
    • 25 Weeks
    • 11 Assignment
    Introduction to Big Data(Optional)
    Introduction to Cloud and AWS Setup
    Introduction to Hadoop and MapReduce Programming
    MapReduce Programming Assignment (optional)
    Data Management and Relational Database Modelling
    NoSQL Databases and Apache HBase NoSQL Databases and MongoDB(Optional)
    Data Warehousing (Optional)
    Data Ingestion with Apache Sqoop and Apache Flume
    Hive & Querying
    Hive Assignment (optional)
    Amazon Redshift
    Introduction to Apache Spark
    NYC Parking Assignment (Optional)
    Project: ETL Data Pipline
    Optimising Spark for Large Scale Data Processing
    Apache Flink(Optional)
    Real-Time Data Streaming with Apache Kafka
    Real-Time Data Processing using Spark Streaming
    Stock data Analysis Assignment (Optional)
    Building Automated Data Pipelines with Airflow
    Analytics using PySpark
    Classification Assignment (Optional)
    Project: Real Time data processing
    Capstone Project

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More

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
  • Personalized subjective feedback on your submissions to facilitate improvement
  • IMDb Movie Analysis
    Analyze movie data from the past hundred years and find out various insights...
    Learn More
  • Uber Supply-Demand Gap
    Use analytics to identify why Uber sometimes faces a supply-demand challenge...
    Learn More
  • Lead Scoring
    Learn how the knowledge of basic machine learning algorithms can be used to ...
    Learn More
  • Fraud Detection
    Decline fraud transactions on a credit card in real-time to minimize the los...
    Learn More
  • Creditworthiness of Customers
    Learn how Predictive Analytics can be used to decide the creditworthiness of...
    Learn More
  • Speech Recognition
    Learn how Google speech-to-text works and make your own model.
    Learn More
  • Image Captioning
    Build a model which will caption a given image and describe it in sentences ...
    Learn More
  • Social Media Listening
    What if you could predict the popularity of a brand like upGrad in India?
    Learn More
  • Telecom Churn
    Telecom companies often face the problem of churning customers due to the co...
    Learn More
  • Retail-Giant Sales Forecasting
    Help a retail-giant to have a clear idea of how their sales will look like i...
    Learn More
  • Interactive Marketing Campaign Analysis
    Research and analyse data from a marketing campaign to gain valuable insight...
    Learn More
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
  • Learning Support
    Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalised feedback on improvement
    Student Support
    • Support is available all days for 24 hours.
    • For urgent queries, use the Call Back option on the platform.
  • Q&A Forum
    • Timely doubt resolution by peers and Teaching Assistants on the Q&A forum
    • Personalised feedback on assignments and case studies
    Expert Feedback
    • Personalised expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept-related doubts
  • Industry Networking
    • Live sessions by experts on various industry topics
    • Group discussions
    • One-on-one discussions and feedback sessions with industry mentors

Admission Process

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

Step 1: Take the Online Eligibility Test

Step 1: Take the Online Eligibility Test

Complete your application to take the 17 minute online eligibility test with few 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: Get Shortlisted & Receive your Offer Letter

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 Executive PGP in Data Science and Master in Data Science from L.J.M.U

Step 3: Block your Seat & Begin the Prep Course

Step 3: Block your Seat & Begin the Prep Course

Block your seat with a block payment of $200 to enroll into the program. Begin with your Prep course and start your Data Science journey!

Program Fee
$7,499
Ask about our preferred employer tuition discount options!
    Our Learners Work At
    Top companies from all around the world have recruited upGrad alumni

    Student Reviews

    Kunwar Alok
    Kunwar Alok
    15 Years Experience
    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.
    Sundara Rajan Jeyaraj
    Sundara Rajan Jeyaraj
    As a working professional, upGrad felt like a convenient option. I like that it's full-time and rigorous even though it’s online (don’t let that fool you!). The beginning of my course was super fun, exciting and challenging. It felt like taking a walk back to my school days. The program also offers a lot of hands-on experience.
    Shravani Shahapure
    Shravani Shahapure
    16 Years Experience
    For someone who really wants to pursue a career in the field of Data Science, it is worth to opt for the complete course by IIITB and upGrad. IIITB and upGrad’s online course on Data Science gives many opportunities and develops students for their future as they provide the best professors, thought-provoking assignments and case studies.
    Harkirat Dhillon
    Harkirat Dhillon
    A dedicated studying regime is the key to be successful and pass the programme. This programme will help build a strong foundation for a successful transition into Data Science. Additionally, participating in Hackathons and Kaggle competitions to solve real world problems will definitely give you an edge and land a job if one is willing to work hard.
    Sidharth Mahapatra
    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.
    Refer someone you know and receive Amazon.com vouchers worth up to $300!*

    *More details under the referral policy under Support Section.

    Start Referring

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