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Master of Science in Data Science

Kick-start your Data Science journey with Globally Recognized Masters from Liverpool John Moores University .

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  • 34,500+
    Students Empowered
  • Online
    Format
  • 18 Months
    Recommended 12-15 hrs/week
  • Dec 31, 2020
    Start Date
  • 50+ countries
    Learner Base
  • Learning
  • Syllabus
  • Specialisations
  • Projects
  • Benefits
  • Admission Process
  • Program Fee
  • Reviews

About the Program

Choose from 5 specialisations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more

5 Unique Specialisations

Choose from 5 specialisations as per your background & career aspirations. Get a PG Diploma in Data Science from IIIT-B with a specialisation.

Dedicated Career Assistance

Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.

Personalised Mentorship

Get a dedicated student mentor with proactive support every step of the way & personalised fortnightly group (1:8) mentorship sessions with industry experts.

Program Overview

Key Highlights

  • Only online M.Sc in DS for working professionals
  • 500+ Hours of Learning
  • 60+ Case Studies and Projects
  • Fortnightly Group Mentorship with Industry Mentors
  • One-on-One with Industry Mentors
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • IIIT Bangalore & LJMU Alumni Status
  • Build your GitHub profile
  • NASSCOM certified
  • 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, 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 recognised by WES, at 1/10th the cost of an offline program
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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
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.
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
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.

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
    • 4 Weeks
  • Data Toolkit
    • 11 Weeks
    • 2 Assignments
  • Machine Learning
    • 9 Weeks
    • 3 Assignments
  • Specialization - Deep Learning
    • 19 Weeks
    • 4 Assignments
  • Specialization - Natural Language Processing
    • 19 Weeks
    • 4 Assignments
  • Specialization - Business Intelligence
    • 19 Weeks
    • 4 Assignments
  • Specialization - Business Analytics
    • 19 Weeks
    • 4 Assignments
  • Specialization - Data Engineering
    • 19 Weeks
    • 4 Assignments
  • Research Methodologies
    • 8 Weeks
  • Master's Dissertation
    • 16 Weeks
  • 400+
    Hours of Content
  • 10+
    Case Studies and Projects
  • 20+
    Live Sessions
  • 25
    1:8 Coaching Sessions with Industry Experts
  • 14
    Tools and Software

Specialisations

You can choose one of the 5 specialisation, based on your interest.

  • Business Analytics
  • Deep Learning
  • Natural Language Processing
  • Business Intelligence
  • Data Engineering

  • Topics Covered

    Business Analytics
    • 19 Weeks
    • 4 Assignment
    Tree Models
    14hr
    Time Series Analysis
    20hr
    Retail-Giant Sales Forecasting Assignment
    9hr
    Model Selection & General ML Techniques
    7hr 30min
    Telecom Churn Case Study
    14hr
    Advanced SQL and Best Practices
    9hr
    Advanced Excel
    10hr
    Structured Problem Solving using Frameworks
    9hr
    Hypothesis Formulation
    9hr
    Assignment
    8hr
    Revenue and Operational Cost Modelling
    8hr 30min
    Introduction to Economics and Financial Concepts
    12hr
    Effective Communication Strategies, Formats, and Templates
    8hr
    Presentations to Technical and Non-Technical Stakeholders
    8hr
    Business Case Study
    16hr
    Capstone project
    40hr
    Tools Covered

    Project

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

  • Topics Covered

    Deep Learning
    • 19 Weeks
    • 4 Assignment
    Tree Models
    14hr
    Model Selection & General ML Techniques
    7hr 30min
    Bagging and Boosting
    12hr
    Advanced Regression
    12hr
    Advanced Regression Assignment
    12hr 30min
    Principal Component Analysis
    8hr
    Time Series Analysis
    10hr
    Telecom Churn Case Study
    14hr
    Introduction to Neural Networks
    30hr
    Neural Networks Assignment
    12hr
    Convolutional Neural Networks - Introduction and Industry Applications
    20hr
    Recurrent Neural Networks
    15hr
    Gesture Recognition
    20hr
    Capstone project
    40hr
    Tools Covered

    Project

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

  • Topics Covered

    Natural Language Processing
    • 19 Weeks
    • 4 Assignment
    Tree Models
    14hr
    Model Selection & General ML Techniques
    7hr 30min
    Bagging and Boosting
    12hr
    Advanced Regression
    12hr
    Advanced Regression Assignment
    12hr 30min
    Principal Component Analysis
    8hr
    Time Series Analysis
    10hr
    Telecom Churn Case Study
    14hr
    Lexical Processing
    10hr
    Syntactic Processing
    30hr
    Syntactic Processing Assignment
    10hr
    Semantic Processing
    10hr
    Chatbot Case Study
    80hr
    Capstone project
    40hr
    Tools Covered

    Project

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

  • Topics Covered

    Business Intelligence
    • 19 Weeks
    • 4 Assignment
    Introduction to Databases
    8hr
    Advanced SQL and Best Practices
    9hr
    Schema Design and Retrieval Assignment
    8hr
    NoSQL Databases and Best Practices
    30hr
    Introduction to Cloud and Hive
    12hr
    SQL Case Study: Analysing Big Data in Retail
    14hr
    Advanced Excel
    10hr
    Visualisation using Tableau
    16hr
    Interactive Marketing Campaign Analysis
    10hr
    Visualisation using PowerBI
    9hr
    Introduction to R and RShiny
    14hr
    Effective Communication Strategies, Formats, and Templates
    8hr
    Presentations to Technical and Non-Technical Stakeholders
    8hr
    Business Case Study
    16hr
    Capstone Project
    40hr
    Tools Covered

    Project

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

  • Topics Covered

    Data Engineering
    • 19 Weeks
    • 4 Assignment
    Introduction to Hadoop and MapReduce Programming
    12hr
    Data Management and Relational Database Modelling
    8hr
    NoSQL Databases and Apache HBase
    12hr
    Data Warehousing (Optional)
    8hr
    Data Ingestion with Apache Sqoop and Apache Flume
    12hr
    Assignment (Optional)
    15hr
    Building and Querying Data Warehouse with Apache Hive
    20hr
    Case Study: Ingestion & Warehousing
    20hr
    Data Processing with PySpark
    20hr
    Real-Time Data Streaming with Apache Kafka
    12hr
    Real-Time Data Processing using Spark Streaming
    12hr
    Assignment (Optional)
    15hr
    Building Automated Data Pipelines with Oozie/Airflow
    12hr
    Analytics using PySpark
    20hr
    Case Study: Kafka, Spark Streaming and PySpark
    20hr
    Capstone Project
    40hr
    Tools Covered

    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
  • 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...
    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
  • IMDb Movie Analysis
    Analyze movie data from the past hundred years and find out various insights...
    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
  • 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
  • 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 Success Mentors
    • A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
    • Success Mentors are your single points of contact for all your non-academic queries
  • 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
  • upGrad BaseCamp
    • Fun-packed, informative and career building workshops
    • Sessions by industry professionals and professors
    • Group activities with your peers and alumni
    Industry Networking
    • Live sessions by experts on various industry topics
    • Group discussions
    • One-on-one discussions and feedback sessions with industry mentors

upGrad Alumni

Snigdha Prakash
Shreyas Srivatsan
Santhosh Francis
Digvijay Vyas
Aman Avilash
Jaya Priya
Akash Kumar
Anand Sonawane
Asher Babu
Harsha Raikar
Jai Singh Bhagat
Kumar Vaibhav
Manshul Goel
Mathew George
Mirza Hashim
Mukund Kumar
Nirmal Maheshwari
Ragul Tamilchemma
Rutuja Mowade
Sai Dileep
Shyam Kumar V N
Soumya Kuttapa

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 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 PG Diploma 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 to enrol into the program. Begin with your Prep course and start your Data Science journey!

Program Fee
USD 7499
Get a chance to earn a fee waiver basis your test score and relevance of work experience! Write to international.admissions@upgrad.com or request a call back to know more.
    How You Benefit From This Program
    • M.Sc & Post Graduate Diploma without quitting your job
    • Cutting-edge curiculum designed by industry experts
    • Alumni status from IIIT Bangalore & LJMU
    • Career transition With up to average 58% salary hike
    • Upskill yourself with 500+ learning hours
    I’m Interested in This Program
    ▼
    Our Learners Work At
    Top companies from all around the world have recruited upGrad alumni

    Student Reviews

    Greenu Sharma
    16 Years Experience Director, ImageVision
    "I was not very much convinced with the quality of learning imparted through the various part-time online courses. But the need for up-skilling was inevitable for me to sustain and grow in my career. Due to my professional as well as personal commitments, the only option was to take my learning and profession go hand in hand. With the support of up-Grad, I have witnessed an exciting journey for the past 2 years upskilling myself with the latest technology and gaining my Masters in Data Science."
    Pradnya Paithankar
    27 Years Experience Freelance Trainer and Consultant,
    "With a career spanning over 25 years, I took the plunge to become future ready with the Master’s degree program in Data Science from LJMU and upGrad. Since I have worked in the IT industry for most of my career but did my graduation in Mechanical Engineering, I was unable to find the right fit for a Master's program till I discovered upGrad. upGrad made my dream of pursuing a Master's come true."
    Maxim Rohit
    12 Years Experience Data Scientist, Radamatic Solutions Pvt Ltd
    "Upgrad as expected was always there to support- From the Student mentor to the Thesis supervisor, both were having discussion with me at the oddest of hour ensuring I was never at a standstill. The SME sessions and the sessions with professors from LJMU always helped with new perspectives. As I look back, the otherwise hectic journey of upskilling was a smooth one."

    Frequently Asked Questions

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