MComp Computer Science
Course Overview
This four-year MComp in Computer Science is an integrated master's degree designed to elevate your expertise to a senior career or PhD-ready level. The program combines a rigorous foundation in core computing principles with advanced, specialized study in the final year. You will develop the professional skills to specify, design, build, and test sophisticated software solutions for real-world clients.
Key Program Highlights
- Master a diverse range of programming languages and technologies, including Java, Python, C++, Haskell, and mobile/web frameworks.
- Undertake significant project work, including a second-year group project for a real client and a major final-year individual project.
- Gain in-depth knowledge of advanced topics such as distributed systems, advanced algorithms, financial computing, and security.
- Develop a strong theoretical foundation in mathematical models of computation, formal language theory, and software engineering practices.
- Learn the entire software development lifecycle, from understanding customer requirements to testing and releasing a finished product.
Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview
This four-year MComp in Computer Science is an integrated master's degree designed to elevate your expertise to a senior career or PhD-ready level. The program combines a rigorous foundation in core computing principles with advanced, specialized study in the final year. You will develop the professional skills to specify, design, build, and test sophisticated software solutions for real-world clients.
Key Program Highlights
- Master a diverse range of programming languages and technologies, including Java, Python, C++, Haskell, and mobile/web frameworks.
- Undertake significant project work, including a second-year group project for a real client and a major final-year individual project.
- Gain in-depth knowledge of advanced topics such as distributed systems, advanced algorithms, financial computing, and security.
- Develop a strong theoretical foundation in mathematical models of computation, formal language theory, and software engineering practices.
- Learn the entire software development lifecycle, from understanding customer requirements to testing and releasing a finished product.
Requirements
The requirements may vary based on your selected study options.
Modules
- Computing Fundamentals
- Programming Fundamentals
- Mathematics Fundamentals
- Computer Architecture
- Introduction to Object Oriented Programming
- Software Lifecycle and Quality
- Algorithms, Data Structures and Advanced Programming
- Personal and Professional Development 1
- Operating Systems and Networks
- Databases and Domain Modelling
- Information Security Fundamentals
- Software Architecture and System Development 1
- Personal and Professional Development 2
- Software Architecture and System Development 2
- Foundations of Computation
- Data Analytics
- User Interfaces Design and Evaluation
- Foundations of Artificial Intelligence
- YEAR ABROAD
- YEAR IN INDUSTRY
- Computer Science Project
- Computers, Society and Professionalism
- Mobile and Web Applications
- C++ Programming
- Internet and Cloud Computing
- Data Science and Visualisation
- Advanced Artificial Intelligence
- Software Measurement and Quality Assurance
- Analysis and Design of Algorithms
- Cryptosystems
- Technology Management
- Functional Programming
- AI for Space
- Deep Learning and Computer Vision
- Generative Development
- Computer Science Project
- Personal and Group Skills
- Technology and Innovation Management
- Advanced C++ Programming
- Agile Cloud Automation
- Internet and Cloud Computing
- Interaction Design and User Experience
- Big Data and Predictive Analytics
- Mobile and Ubiquitous Computing
- Algorithms for Bioinformatics
- Generative Development
- Service-Orientated Architectures
- Service Design
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Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
