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| MPhil in Advanced Computer Science | |
|---|---|
| Name | MPhil in Advanced Computer Science |
| Duration | 1–2 years |
| Level | Postgraduate |
| Typical entry | Bachelor's degree, Master's degree |
| Countries | United Kingdom, United States, Australia, Canada |
MPhil in Advanced Computer Science
The MPhil in Advanced Computer Science is a postgraduate research-focused degree combining taught modules and a supervised thesis, situated at institutions such as University of Cambridge, University of Oxford, Imperial College London, University College London, and Massachusetts Institute of Technology. It bridges taught programmes like those at Stanford University, Carnegie Mellon University, ETH Zurich, University of Toronto, and University of Melbourne with research pathways found at Princeton University, Harvard University, California Institute of Technology, University of California, Berkeley, and University of Edinburgh.
Programmes at centres such as Turing Institute, Alan Turing Institute, Microsoft Research, Google Research, and IBM Research emphasise topics drawn from work by figures associated with ACM, IEEE, Royal Society, Royal Academy of Engineering, and awards like the Turing Award and Fields Medal in adjacent mathematics. The degree often aligns with research cultures exemplified by laboratories like Bell Labs, Los Alamos National Laboratory, SRI International, Lincoln Laboratory, and universities with strong links to agencies such as European Research Council, National Science Foundation, Engineering and Physical Sciences Research Council, and foundations like the Wellcome Trust.
Typical entry criteria reference qualifications from institutions such as University of Cambridge, University of Oxford, Trinity College Dublin, University of Glasgow, and University of Manchester and may require transcripts, references, and research proposals modeled on successful applicants to Darwin College, St John's College, Cambridge, Christ Church, Oxford, Balliol College, and Magdalene College, Cambridge. Applicants often hold degrees from programmes at MIT, Caltech, Stanford, ETH Zurich, or National University of Singapore and secure supervisors affiliated with groups led by academics associated with DeepMind, OpenAI, Facebook AI Research, Google DeepMind, and NVIDIA Research.
Core modules are comparable to offerings at Carnegie Mellon University and University of Texas at Austin and cover subjects drawn from research agendas at MIT Computer Science and Artificial Intelligence Laboratory, Oxford Machine Learning Research Group, Cambridge Computer Laboratory, Berkeley AI Research, and Stanford AI Lab. Typical coursework includes advanced algorithms influenced by work at Princeton University and Yale University, machine learning tracks reflecting syllabi from University of Washington and ETH Zurich, and systems modules paralleling courses at Imperial College London and University of California, San Diego. Optional seminars may feature guest lecturers from Microsoft Research Cambridge, Amazon Web Services, Apple Machine Learning Research, Facebook AI Research (FAIR), and projects linked to consortia like CERN and European Space Agency.
The research element is supervised by faculty with affiliations to programmes at Oxford Robotics Institute, Cambridge AI Group, MIT CSAIL, Berkeley EECS, and Stanford HAI, and often culminates in a thesis defended before examiners from departments such as University of Edinburgh and King's College London. Topics range across areas represented by research centres like Max Planck Institute for Informatics, Fraunhofer Society, INRIA, CNRS, and Centre for Quantum Technologies and may address problems tackled in collaborations with NASA, European Organisation for Nuclear Research, DARPA, and National Institute of Standards and Technology.
Assessment procedures mirror practices at University of Cambridge's postgraduate committees and review boards akin to those at Imperial College London and UCL, including viva voce examinations like those used at University of Oxford and written submissions evaluated against criteria used by funding bodies such as the Royal Society, EPSRC, and NSF. Examination panels frequently include external examiners from institutions such as Princeton University, Harvard University, Columbia University, ETH Zurich, and University of Melbourne.
Graduates commonly proceed to doctoral research at schools including Stanford University, MIT, Cambridge, Oxford, and Harvard, or enter research roles at organisations such as Google Research, Microsoft Research, DeepMind, OpenAI, IBM Research, Apple and startups incubated by Y Combinator or accelerators like Techstars. Alumni have joined labs at Bell Labs, Adobe Research, Siemens Research, Bosch Research, NVIDIA, and institutions funded by programmes like Horizon Europe and grants from Wellcome Trust.
Program variants are offered by universities across the UK, US, Canada, Australia, and Europe, including University of Cambridge, University of Oxford, Imperial College London, University College London, University of Toronto, McGill University, University of British Columbia, University of Sydney, University of Melbourne, ETH Zurich, EPFL, TU Delft, Technical University of Munich, KU Leuven, Sorbonne University, University of Helsinki, National University of Singapore, Tsinghua University, Peking University, Keio University, University of Tokyo, and Seoul National University. Variants reflect local research strengths tied to national agencies such as the European Research Council and corporate partnerships with Microsoft, Google, Amazon, Facebook, and Intel.
Category:Postgraduate degrees in computer science