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Kings College London Course/Program Name
Application closes on
National :15 Jan 
International :15 Jan 
EU :15 Jan 

MPhil Computer Science Research

 Course Level
Masters / PG
 Type
Full Time

 Duration
3 Years
 Start month
September

 Tuition fee

International
20000 GBP
National
4600 GBP
EU
4600 GBP

Application fee

International 0 GBP
National 0 GBP
Department
Department of Informatics
Scores accepted
IELTS (min)6
TOEFL-IBT (min)80
27

World University Ranking

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About this course

Current number of academic staff: 52.

Current number of research staff and students: Eight research associates/fellows, 160 MPhil/PhD students and numerous internationally recognised visiting academics.

Research income: Since 2008, the Department has attracted over £4m in research funding.

Recent publications: All academics in the Department publish regularly, with well over 100 publications per year.

Partner organisations: We have strong links with industry, government and other academic institutions. Our research has been supported by several companies from the aerospace, automotive, financial, IT and telecommunications sectors.

Recent events: We host several workshops and conferences and other regular research meetings. Please check our website for forthcoming events.

Check further details on University website

Eligibility Criteria

Bachelors degree with 2:1 honours degree (or international equivalent) in computer science or a closely related subject, and a good background in the area of intended research.

Applicants who do not meet the undergraduate requirements but have or are currently studying an additional Masters with Merit (or international equivalent) in computer science or relevant subject may be considered.

English language requirement:

  • IELTS: 6.0
  • TOEFL-IBT: 80

Check further details on University website

Course Modules

Description

The Department of Informatics has a rapidly rising research profile, with increasing numbers of major externally funded projects, a strong publication profile and significant research activity. Our research is organised around our research groups, and you can find details of the range of current research projects and interests on the Department's research pages.

If you are interested in joining us to undertake PhD research, you should identify topics and academic staff in your area of interest. If you cannot find your chosen topic or area on our individual research section or subgroup pages, contact a relevant member of academic staff for further information and then follow the application procedure.

We are a medium-sized department with many internationally recognised researchers and visiting academics, large groups of PhD students, research assistants, national and international projects, collaborations with other departments and the School as well as links with industry. We offer an exciting environment and excellent opportunities for research.

Our PhD students have access to good library facilities, a personal work area including a desk and high-specification computer, new PhD laboratories, weekly departmental seminars and regular group seminars, and college-based training in transferable and research skills.

We provide MSc specialist courses that you can attend; School and College induction courses; a week of training per year in transferable and research skills and the opportunity to attend one week EPSRC sponsored courses on career prospects for research students. There is also a centrally provided programme of computing and related skills training.

Our research students are also encouraged to submit papers to conferences, and we try to provide financial support for them to travel to present their papers.

The Department of Informatics is located at the Strand Campus of King's College London, in the heart of central London, overlooking the river Thames. Our facilities are within easy reach of the British Computer Society and the Institute of Engineering a& Technology (and the IET Library), with access to a formidable collection of scientific journals and other technical material.

The scope of our research is defined by the interests of our research groups.

Agents and Intelligent Systems

Agents and Intelligent Systems (AIS) is an expanding research group in the Department of Informatics.

The Agents and Intelligent Systems group comprises 9 academic staff, including three professors (Michael Luck, Peter McBurney and Andrew Jones) and six lecturers (Elizabeth Black, Jeroen Keppens, Simon Miles, Sanjay Modgil and Katarzyna Musial), as well as a rapidly growing number of postdoctoral researchers and PhD students.

Our work is concerned with investigating various aspects of agent technologies, intelligent systems, as well as AI more generally and their applications. Agents are intelligent (typically software) entities that interact or work together to achieve goals they would not be able to achieve by themselves, or not as easily.

Some of our recent work has focussed on the following areas, or themes:

Multi-Agent Systems, Normative Systems, Argumentation, Provenance Market-Based Control, eScience and Grid Computing, Health Informatics, Approximate and Qualitative Reasoning, Virtual Organisations, Trust and Reputation, Artificial Intelligence and Law, Agent-Oriented Software Engineering, Formal Theory of Communication, Complex Networks and Systems.

We are involved in several research projects, contribute to the organisation of various conferences and workshops, and are represented on advisory boards and steering committees in the areas of agents and intelligent systems.

We also contribute to the teaching on the MSc in Web Intelligence and the MSc in Computing, IT Law and Management, both run in the Department of Informatics.

Requests for further information about AIS, its research, or research opportunities should be directed to the Head of Group, Dr Simon Miles: [email protected]

Algorithms & Bioinformatics

The research scope of the Algorithms & Bioinformatics group ranges from theoretical computational-complexity issues, through design and analysis of algorithms and data structures for generic computational problems, to developing algorithmic solutions and concrete implementations for various applications, particularly focusing on algorithms for Bioinformatics. Within this spectrum, the research interests of the members of the section include

String algorithms: text processing, data compression and compressed matching, automata theory. 
Applications of algorithms in Bioinformatics (string algorithms and optimisation algorithms for analysis of the structure of molecular sequences), image processing and music analysis.
Graph algorithms and combinatorial optimisation: network optimisation, scheduling, stochastic algorithms, communication algorithms for various types of networks.
Data structures: design, analysis and efficient implementations.
Algorithm engineering: developing efficient implementattions of advanced algorithms and algorithmic techniques.
Analysis of random discrete processes: random graph processes, models of web graphs and peer-to-peer networks, analysis of randomised algorithms, performance of web crawling.

The Algorithm & Bioinformatics group organises annual international research meetings, including the London Stringology Day (since 2000) and the London Algorithmic Workshop (since 2006). Members of the group participate in a number of research projects funded by EPSRC, Royal Society and EU.

Requests for further information about AB should be directed to the Head of Group, Professor Costas Iliopoulos: [email protected] 

Software Modelling & Applied Logic

The Software Modelling & Applied Logic group studies applications of logic and mathematics to computer science, software engineering, information and software security, multi-agent systems and AI. It investigates various models of reasoning and computation, designing formal languages and tools to describe problem domains (including, in particular, software systems and their security constraints), and analyse their trustworthiness, correctness, expressive power and computational behaviour.

The Software Modelling & Applied Logic group concentrates on two related research directions: 

The formulation and applications of logic and mathematics across the gamut of computer science and software engineering, including quality of service, business computing, service oriented architectures, model driven architecture, security and artificial intelligence.
Various models of reasoning and computation, applying them to the design of programming languages, specification languages, theorem provers, information and software security, and software modelling tools.

Requests for further information about the group should be directed to the Head of Group, Professor Maribel Fernandez: [email protected]

Planning

The Planning Group consists of 5 academic staff, including 2 professors (Maria Fox and Derek Long) and 3 lecturers (Andrew Coles, Amanda Coles and Daniele Magazzeni), as well as a number of EU and EPSRC-funded research fellows and research students.

Planning Research at King's focusses on domain-independent planning. Planning is an active research area within the broader field of Artificial Intelligence, and has strong links with scheduling and optimisation research. The primary problem is the identification of sequences of actions which will achieve specified goals from specified initial conditions. Domain-independent planning is concerned with the fundamental principles of planning, typically concentrating on search techniques, search control methods and the representation and treatment of uncertainty, non-determinism, resources, time and other issues. Planning has been successfully applied to a range of fielded industrial applications and we are actively engaged in applications in energy, aerial surveillance, underwater exploration, space, logistics and home robotics.

Requests for further information about the group should be directed to the Head of Group, Professor Maria Fox: [email protected]

Course study environment

Our graduate students are an integral part of the academic life of the Department. We are a medium-sized but growing department with many internationally recognised researchers and visiting academics, large groups of PhD students, research assistants, national and international projects, collaborations with other departments and the School as well as links with industry. We offer an exciting environment and excellent opportunities for research. Our research students have access to good library facilities, a personal work area including a desk and high-specification computer, new PhD laboratories, weekly departmental seminars and regular group seminars, and college-based training in transferable and research skills.

Postgraduate training

We provide: MSc specialist courses that you can attend; School and College induction courses; substantial training per year in transferable and research skills. There is also a centrally provided programme of computing and related skills training. Our research students are also encouraged to submit papers to conferences, and we try to provide financial support for them to travel to present their papers.

Head of group/division

Professor Peter McBurney

Contact for information
Contact the Admissions Office • Before you apply: via our Enquiry Form (www.kcl.ac.uk/study/pg/contacts.aspx#admissions) • After applying: use the messaging service at apply.kcl.ac.uk Postgraduate Officer, Admissions Office Tel: +44 (0)20 7848 1648

Contact email

[email protected]

Course website

http://www.kcl.ac.uk/nms/depts/informatics/study/mphilphd/index.aspx

Check further details on University website

How to Apply

Application procedure

You should complete the application form and send all appropriate documentation as listed in the requirements. Ideally, you should indicate the research group and, if possible, names of potential supervisors. Your application is evaluated by the relevant research group or individual academic. Applicants may be interviewed, by telephone for those not based in the UK. We aim to notify you of the result within six weeks of receipt of an application by the School. 

September, January, and April start dates available. Applicants are strongly encouraged to start their degree at beginning of the academic year in September, when the College offers a full induction programme.

Personal statement and supporting information

Please give as much detail as you can on the nature of the research you wish to undertake.

Course intake

Approximately 10-20 per year.

Application closing date

There is no specific deadline for applications. Applications will be considered subject to the availability of places, thus we encourage you to submit your application as soon as possible. Please note funding applications may be subject to specific deadlines.

Check further details on University website

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