University of Warwick

What you'll study

This full-time MSc combines compulsory core modules, a range of option modules, and a substantial individual project or dissertation. The programme emphasises both foundational topics and contemporary specialisms, and is taught through lectures, seminars, practical labs and project supervision.

• Core topics: advanced algorithms and data structures; formal methods and program verification; advanced software engineering and design; operating systems and distributed systems; machine learning and probabilistic modelling.
• Optional/specialist modules (examples): computer security and cryptography; databases and information systems; programming languages and compilers; computer vision; natural language processing; cloud and parallel computing; computational optimisation; human–computer interaction; computational biology. Availability of options varies by year.
• Project/dissertation: a substantial individual research or development project supervised by academic staff or industry partners. Projects typically involve literature review, system design or experimental work, implementation and written dissertation plus an oral presentation.
• Assessment: a mix of coursework, programming assignments, exams, project reports and presentations. Practical coursework and team-based assignments are frequently used to assess applied skills.

Entry requirements

Applicants are normally expected to hold a good UK undergraduate degree (typically a 2:1 or equivalent) in computer science, software engineering, mathematics, physics or a closely related discipline. Applicants with a lower class degree but substantial relevant industrial experience, strong programming background and demonstrable technical skills may be considered.

Applicants without a formal computing degree may be admitted on the strength of prior study or professional experience but may be asked to demonstrate competence in core areas such as programming, data structures and discrete mathematics, and may be required to take bridging material.

All applicants whose first language is not English must provide evidence of proficiency in English through a recognised qualification. Specific language test scores and other formal requirements are provided on the department admissions pages.

Career prospects

Graduates move into a wide range of technical and research-oriented roles. Typical destinations include software engineering, systems architecture, data science and machine learning engineering, security engineering, database and cloud engineering, and roles in fintech, scientific computing or computational research. The programme also provides a strong foundation for doctoral study (PhD) and careers in applied research.

Graduates benefit from Warwick’s links with industry and enterprise services, which can support internship and placement opportunities, networking and career development. Alumni go on to work for global technology firms, startups, research institutes and public sector organisations.

Why study at University of Warwick

Warwick’s Department of Computer Science is known for combining rigorous theory with practical, application-driven teaching and research. Students learn from active researchers across areas such as algorithms, machine learning, formal verification and security, and have access to modern computing facilities and specialised research groups.

The campus environment supports interdisciplinary collaboration with departments across mathematics, engineering, life sciences and business, creating opportunities for cross-cutting projects. Support services for postgraduate students include academic supervision, career services, a strong graduate community and routes to engagement with industry collaborators and research centres.