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Master of Science in Data Science

Kick-start your Data Science journey with a Master's from Liverpool John Moores University, ranked in the top 1% of globally recognized universities. 700+ learners from Singapore have already signed up for our programs.

Watch
Intro Video
With Industry Experts From
  • Fully Online
    Format
  • 700+
    Learners from Singapore
  • 3 Unique
    specialisations
  • 18 Months
    Recommended 15 hours/ week
  • May 31, 2022
    Start Date
  • Instructors
  • Syllabus
  • Specializations
  • Projects
  • Benefits
  • Admission Process
  • Program Fee
  • Refer & Earn
  • Hiring Partners
  • Reviews

Program Overview

Key Highlights

  • Earn a M.Sc in Data Science structured for working professionals
  • Get access to 500+ Hours of Learning
  • Apply your learnings through 25+ Case Studies and Projects
  • Get Fortnightly Group Mentorship with Industry Mentors
  • Get LJMU Alumni Status
  • Fortnightly Group Mentorship with Industry Mentors
  • Build your GitHub profile
  • Use our career Essential Soft Skills Program
  • WES Recognised

Choose from 3 specializations
-Deep Learning
- Business Intelligence/Data Analytics
- Data Engineering

  • 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

Earn a 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.

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

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
    • Data Toolkit
      • 12 Weeks
    • Machine Learning
      • 10 Weeks
    • Specialization- Deep Learning
      • 22 Weeks
    • Specialisation - Business Intelligence/Data Analytics
      • 22 Weeks
    • Specialisation - Data Engineering
      • 22 Weeks
    • Research Methodologies
      • 8 Weeks
    • Master's Dissertation
      • 16 Weeks
    • 500+
      Hours of Learning 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
      • 22 Weeks
      • 4 Assignments
      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

    • Topics Covered

      Business Intelligence/ Data Analytics
      • 22 Weeks
      • 9 Assignments
      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

    • Topics Covered

      Data Engineering
      • 22 Weeks
      • 11 Assignments
      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

    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
    • High ROI
      Cost Effective:
      • Upgrade your career at 1/10 the cost of the same on campus program
      Learn and Earn:
      • Get world class credentials without leaving your job from the comfort of your home
    • Industry Driven:
      • Learn through curriculum created by the industry for the industry
      • Learn and get coached by leading industry experts from around the globe
      Flexible:
      • Experience world class education on-demand through our proprietary app and website
      Unparalleled Support:
      • Work with a dedicated upGrad buddy who will handhold you throughout the program
      • Get expert verified resolutions for all your doubts within hours
      • Weekly live sessions with industry experts on doubts, career & communication
    • Career Preparation:
      • Rigorous career preparation with resume feedback, personal branding on LinkedIn
      • Career booster content to help understand how to search for jobs, prepare for interviews, negotiate your salary etc.
      • Industry mentorship - Receive mentorship from industry leaders of the domain to help you reach your desired career goal
      Networking:
      • Opportunity to network with accomplished professionals, faculty and industry experts from 50+ countries
      • Part of 50K+ alumni base who are working in top companies like Amazon, ESPN, Visa, Microsoft, E&Y, Accenture

    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 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

    Confirm your seat by enrolling into the program and making the initial block payment. Begin your preparatory course & start your career in Data Science.

    Program Fee
    SGD 11,249
    Apply now to know more about scholarships and loans.
      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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      Empowering learners of tomorrow

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

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      How You Benefit From This Program
      • Earn a Master's degree without quitting your job
      • Get alumni Status from Liverpool John Moores University
      • Get a Master's degree at just 1/10 the cost of an on campus program
      Our Learners Work At
      Top companies from all around the world have recruited upGrad alumni

      Student Reviews

      Srinivasan CR
      Srinivasan CR
      United Arab Emirates
      Learning experience was amazing because the course contents are more practical rather than just theoretical. upGrad is particularly good at Student support and motivation. You get a classroom learning experience in a completely virtual environment.
      Prasad Chandrakant Chandra Zende
      Prasad Chandrakant Chandra Zende
      Austria
      We get a lot of support by mentors and module deadlines is something that will push us to complete the program in the given time. I am working on my masters at LJMU at the currently and hope I will get a transition within my organisation.
      Vanishri Murali
      Vanishri Murali
      United States
      Thanks to upGrad, I was able to achieve my dream of completing my Masters in Data Science 20 years after completing my graduation.
      Sheel Dwivedi
      Sheel Dwivedi
      Germany
      The level of expertise, in-depth knowledge of the lectures, hands on practice session, the wider communication and interpersonal skills makes upGrad the number one choice.

      Frequently Asked Questions

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