Courses

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
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  • 40,000+
    Paid Learners
  • Online
    Format
  • 18 Months
    Recommended 13 hrs/week
  • Sep 29, 2021
    Start Date
  • Financing
    Starts at $208.31/month
  • Overview
  • Instructors
  • Syllabus
  • Specializations
  • Projects
  • 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 09 AM to 09 PM IST 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
  • 60+ Case Studies and Projects
  • Fortnightly Group Mentorship with Industry Mentors
  • One-on-One with Industry Mentors
  • Timely Doubt Resolution
  • Support available all days 9 AM - 9 PM IST for queries
  • 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?

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

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
  • 60+
    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 Success Mentors
    • Available all days 9 AM - 9 PM IST.
    • 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:

Program Fee
USD 7499
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