Advanced Computing, M.Sc.

  • N/A
    Application Deadline
  • 12 months
    Duration
  • 26500
    Tuition (Year)
    10500
    Tuition (Year)
  • English
    Language
,
The MSc and MRes in Advanced Computing offer students the opportunity to study a wide variety of topics in depth with dedicated experts. They both prepare students for a rewarding career in computing and in information technology in general, and are also suitable for students interested in a research career in the industrial or academic sector.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

The MSc and MRes in Advanced Computing offer students the opportunity to study a wide variety of topics in depth with dedicated experts.

They both prepare students for a rewarding career in computing and in information technology in general, and are also suitable for students interested in a research career in the industrial or academic sector.

The MSc in Advanced Computing is suitable for students primarily interested in a career oriented towards development and applications in industry.

The MRes in Advanced Computing is suitable for students interested in a research career either in the industrial or academic sector.

Programme Structure

This is a full-time course lasting 12 months, starting in October.

There are six streams, each of which covers an area of specialisation. Students are normally required to select one of these areas of specialisation, although students with relevant previous experience or special interests may be allowed to take different combinations of course options with the agreement of the course director.

1. Computational management

This stream offers a course of study on the theory and tools of business management that require computerised solutions including decision support and constraint solving techniques.

Graduates will be well equipped to contribute to academic research and to commercial, industrial and financial applications.

2. Logic and artificial intelligence

This stream offers a course of study on the theory and applications of artificial intelligence. Options within this area allow students to specialise in the design and implementation of applications, including logic-based agents in a distributed environment, or to study how a logic framework can be useful for general application in artificial intelligence and computer science.

3. Mathematical foundations

This focuses on the applications of mathematics to the theory and practice of computing including the formal design of advanced software.

On completion of the course, a specialist will be able to conduct research into methods for strengthening a systematic approach to developments in computing.

4. Software engineering

This is intended for computer science graduates who are looking for an advanced course of study in tools and techniques underlying the development of large scale and complex software systems.

Particular emphasis is placed on solving problems caused by software size and age. Graduates will be well equipped to contribute to both academic research and industrial applications.

5. High performance computing

This area of specialisation offers a course of study in rigorous methods applied to the design of software for complex, parallel systems. Included are new architectures for data mining, for simulation and modelling, and for distributed systems.

Particular emphasis is placed on combining knowledge of architectures, algorithms and hardware to meet performance goals. Graduates will be well equipped to contribute to both research and application software projects.

6. Parallel and distributed systems

This area of specialisation offers study on the design of, and techniques used in, parallel and distributed algorithms and concurrent systems.

Particular emphasis is placed on distributed systems and their industrial applications, including techniques for maintaining and accessing distributed databases. Also included are systems based on field programmable hardware. Graduates will be well equipped to contribute both to academic research and industrial applications.

Modules

The course modules (some of which may not be offered every year) are as follows:

  • Advanced computer architecture
  • Advanced databases
  • Advanced graphics and visualisation
  • Advanced issues in object-oriented programming
  • Automated reasoning
  • Advanced topics in software engineering
  • Cognitive robotics
  • Complexity
  • Complex systems
  • Computational finance
  • Computer vision
  • Computing for optimal decisions
  • Custom computing
  • Distributed algorithms
  • Intelligent data and probabilistic inference
  • Knowledge representation
  • Machine learning
  • Machine learning and neural computation
  • Modal and temporal logic
  • Models of concurrent computation
  • Multi-agent systems
  • Network security
  • Parallel algorithms
  • Performance analysis
  • Program analysis
  • Quantum computing
  • Type systems for programming languages

Detailed Programme Facts

    • Started in

        Deadline was:

      • General

      Dates reflect the university's timezone.

  • Duration full-time 12 months
  • Languages
    • English
  • Delivery mode
    On Campus
  • Educational variant Full-time

Test Scores

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Academic Requirements

Applicants should normally have a good first Honours degree in computer science, or a subject with a substantial computing component.

If your first degree is from a country other than the UK, you may find the guidelines within our Country Index helpful. Please note that these guidelines indicate the College minimum. Our requirement is usually higher.

The College also has a minimum English language requirement for postgraduate study.

Tuition Fee Per Year

  • GBP 26500 International
  • GBP 10500 EEA
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