MPhil/PhD Computer Science

3 Years On Campus Masters Program

Goldsmiths University of London

Program Overview

The MPhil/PhD in Computer Science at Goldsmiths enables students to conduct original research in areas such as artificial intelligence, computational creativity, computer vision, hypermedia systems and interdisciplinary computing. It suits applicants with strong academic preparation who want to contribute new knowledge, develop novel systems or pursue academic and research careers.

Curriculum Structure (Research Degree, 3 Years Full-time)

Research Progression (Year by Year)

In the initial stage, students develop a detailed research proposal with their supervisor and receive training in research methods, academic writing and specialist technical skills. They also gain access to advanced computing labs and interdisciplinary research environments that support experimentation in AI, creative computation or systems design.

During the middle research period, students carry out experiments, build models or systems, analyse data and refine theoretical frameworks. They participate in seminars, workshops and annual progress reviews, and often collaborate across computing, media, and creative-technology fields.

In the final stage, students write and submit a thesis presenting original findings, which may include algorithms, conceptual frameworks, prototypes or empirical studies. They then defend their work in a viva examination, demonstrating expertise in their chosen area.

Focus areas: “AI, computational creativity, computer vision, hypermedia systems, interdisciplinary computing research, advanced system design”

Learning outcomes: “Conduct independent research; design novel algorithms or systems; integrate computing with creative or applied disciplines; produce publishable research; complete and defend a doctoral thesis.”

Professional alignment (accreditation): A doctoral-level research qualification aligned with academic and industry expectations for advanced R&D roles, preparing graduates for careers in universities, research labs, high-tech industries or creative-technology sectors.

Reputation (employability rankings): Goldsmiths is known for strong research performance and interdisciplinary innovation, and graduates progress into roles such as research scientist, software engineer, data scientist, academic lecturer or creative-tech developer.

Experiential Learning (Research, Projects, Internships etc.)

The MPhil/PhD in Computer Science at Goldsmiths, University of London, is a research degree where students develop deep, practical expertise by pursuing original, sustained research projects. Advanced skills are gained through hands-on experimentation, systems building, and data analysis within dedicated research groups and labs.

Key experiential components:

Software & Tools: Use of advanced, project-specific tools which may include programming languages (C++, Python, etc.), machine learning frameworks (PyTorch, TensorFlow), simulation software, or custom research code developed for the thesis.
Research Facilities: Access to Goldsmiths' departmental research labs (e.g., Intelligent Sound and Music Systems Lab, Embodied AudioVisual Interaction Group, Goldsmiths Digital Studios), specialised equipment, and high-performance computing as required by the project.
Collaborative Research Environment: Integration into a specific research group, involving regular lab meetings, seminars, and opportunities for collaboration with peers and faculty on publications or pilot studies.
Dissertation & Outputs: The core of the programme is the independent research project (thesis), which involves the creation of novel software, systems, or theoretical frameworks, and culminates in a viva voce examination and peer-reviewed publications.

Progression & Future Opportunities

Graduates of Goldsmiths, University of London's MPhil/PhD Computer Science emerge as research scientists, AI specialists, software researchers, and computational developers in academia, tech giants, and innovative startups:

Careers Service provides CV guidance, interview coaching, networking events, and alumni networks.
High demand for PhD expertise yields strong academic/industry placements; competitive research salaries.
Interdisciplinary collaborations across art, media, and tech partners enhance real-world applications.
Supports Chartered status and lifelong research leadership in computing.
Outcomes include professorships, R&D roles, or industry innovation.

Further Academic Progression: PhD holders can pursue postdoctoral fellowships or senior research positions at Goldsmiths/other institutions, extending their thesis in AI, computer vision, or computational creativity.