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.
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.
