Master of Science in Computer Science

Grow your software career with a Master's degree from a top UK university

  • Learn in-demand skills and grow your Software Development career
  • Showcase your expertise and skills to potential employers using an e-portfolio
  • Get the Executive Certification in Data Science & Machine Learning, for free
Enterprise Training for Teams: Get a Quote
  • 3 Tracks Specialization options
  • 300 + Hiring partners
  • 5 of 6 Learners Positive career growth

Build Your Dream Computer Science Career

The Master of Science in Computer Science course helps you to get hands-on training in different programming languages. Choose from 4 specializations – Full Stack Development, Blockchain Development, Cloud Backend Development, and DevOps. Deploy your projects on the cloud and showcase your portfolio and skills to potential employers.

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  • 18+ months of industry-relevant learning

  • Alumni status from LJMU, IIIT Bangalore

  • 7+ Case Studies and Projects

  • Real-world project portfolio

  • 10 Programming tools and languages

  • 4-Month Executive Certification in Data Science & ML

The upGrad Advantage

Learn by Doing

Work on real-world projects, assignments. Get exposure to practical problems across industries.

Real-World Focus

Personalized feedback from experienced industry professionals, teaching support to clear your doubts.

Job Opportunities

Gain exclusive access to upGrad's Job Opportunities portal with 100+ openings at any given time.

Career Assistance

Career mentorship sessions, high-performance coaching, interview prep, career bootcamps, more!

Continued Learning Support

Live sessions, focused group workshops with leading industry experts covering curriculum + advanced topics.

upGrad BootCamp

Fun-packed, informative, career-building workshops, including sessions by industry professionals, professors.

prerequisites for LJMU Master of Science in Computer Science


To apply for this course, you should have:

A Bachelor’s degree with a minimum of 50% or equivalent marks

Who Should Attend the Course

IT and Technology Professionals

Project Leads and Managers in IT/Tech Companies

Data Professionals, Java & Other Coding Professionals

Testing Professionals

What You Will Learn

SDLC and Agile Methodology

Get introduced to the core concepts of Agile and discover best-practices for Agile implementation

Data Structures and Algorithms

Learn about graphs, stacks, queues, dynamic programming, and algorithm analysis

Full Stack Development

Understand UI/UX & frontend development. Work on capstone projects & acquire advanced development skills

Blockchain Development

Understand the basics and applications of blockchain. Work on capstone projects and build distributed apps 


Master DevOps essentials and advanced DevOps concepts and build web apps at Scale  

Transform Your Workforce

Develop Next-Gen Software & Scale Up

Achieve organizational goals and scale up with the help of state-of-the-art software. Train your employees on advanced programming languages and transform your business with cutting-edge solutions.

  • Leverage Immersive Learning
  • Make your business future-ready
  • Scale up with next-gen solutions

500+ Clients


  • Fundamentals of Programming Language with basic data structures (Java)
  • Abstraction and Encapsulation
  • Inheritance and Polymorphism
  • Arrays, ArrayLists, Environment Set up
  • Assignment (optional)
  • Requirements Identification
  • Assignment: Requirements Identification
  • Design and Prototyping
  • Assignment: Design & Prototyping (optional)
  • Module level implementation and Unit testing
  • Assignment: Module level implementation
  • Integration and Testing
  • SDLC and Agile Methodology
  • Object Oriented Design
  • Testing and Version Control
  • Assignment – OOAD
  • Algorithm Analysis + Recursion
  • Searching and Sorting (Divide and Conquer included)
  • Stacks & Queues
  • Sets and Dictionaries (Hashtable, Trees and BSTs, Heaps)
  • Graphs & Graph Algorithms
  • Mandatory Assignment
  • Greedy, Dynamic Programming – Optional
  • Algorithm Analysis + Recursion
  • Searching and Sorting (Divide and Conquer included)
  • Stacks & Queues
  • Sets and Dictionaries (Hashtable, Trees and BSTs, Heaps)
  • Graphs & Graph Algorithms
  • Mandatory Assignment
  • Dynamic Programming - Optional
  • Greedy Algorithm - Optional
  • User interfaces & Frontend Development
  • Backend Development
  • Software Architecture and Deployment
  • Capstone Project
  • Distributed Systems & Cloud Databases
  • Design & Development of Microservices
  • Serverless Development and Deployment of Cloud-Native Applications
  • Capstone Project
  • DevOps Essentials
  • Web Applications at Scale (LIVE)
  • CICD Pipeline, System Provisioning and DevOps Advanced Concepts
  • Capstone Project
  • Blockchain: Basics and Applications
  • Building a distributed application on Hyperledger Fabric
  • Architecting Blockchain Applications (LIVE)
  • Capstone Project
  • Locality of Reference 
  • Memory Layout 
  • Compiling and Running a Program - Behind the Scenes 
  • Catching & Loop Unrolling 
  • Multi-threading 
  • File System 
  • Performance Aspects of HTTP 
  • Socket Programming - File Transfer 
  • Tools: Programming Language - C, Compiler - GCC, OS – Linux 
  • Introduction to Research and Research Process 
  • Research Design 
  • Literature Reviewing 
  • Research Project Management 
  • Report Writing and Presentation Skills 
  • Scientific Ethics 
  • Master's Dissertation 

Master of Science in Computer Science FAQs

Master of Science in Computer Science Training

Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled software engineer at par with leading industry standards.

By the end of this course, you’ll learn:

  • SDLC
  • Agile Methodology
  • Data Structures
  • Data Algorithm
  • Full Stack Development
  • Cloud Backend Development
  • Blockchain Development
  • DevOps

Master of Science in Computer Science Certification

The certificate is issued by Liverpool John Moores University - ranks among the top 100 Young World Universities and top 50 in UK by student satisfaction and IIIT Bangalore

To apply for this course, you need a Bachelor’s degree with a minimum of 50% or equivalent marks.

There are 4 specializations offered:  

  • Full Stack Development  
  • Cloud Backend Development   
  • Blockchain Development  
  • DevOps  

The admission process involves 3 basic steps:

Step 1: Take the Online Eligibility Test

Complete application and take the 17 minutes online admission test

Step 2: Get Shortlisted

Our admission committee will review your profile and test score. You will receive an offer letter once you are selected

Step 3: Block Your Seat

Pay the block amount to book your seat and start your Computer Science journey with us.