School of Computer Science

Module 06-26587 (2017)

Project Masters M60

Level 4/M

Russell Beale Semester 1 20 credits
Russell Beale Semester 2 40 credits
Co-ordinator: Russell Beale
Reviewer: Peter Tino

The Module Description is a strict subset of this Syllabus Page.


The MEng/MSci project enables the student to demonstrate an ability to use advanced software engineering concepts and to apply material learnt in other components of the degree programme. Projects are chosen from staff suggestions or are developed from the student's original idea. Unlike the 40-credit Computer Science project, this 60-credit project demands that the student demonstrate a broader range of the most advanced skills required at masters level. Further, the 60-credit module requires the submission of additional assessment material. This project is suitable for exceptionally independent and self-motivated students. The project must include a substantial scientific or engineering investigation and cannot consist of only a literature review.


The aims of this module are to:

  • Allow students to carry out a substantial task of their own choosing, in the area of Computer Science, Artificial Intelligence, or Software Engineering.
  • Allow students to conduct an in-depth exploration of advanced computational concepts (that would not be possible in a 40 credit module)
  • Allow students to demonstrate skills in scientific or engineering methods, including software or hardware development, maths, or empirical investigations, applied to computer science problems
  • Allow students to demonstrate their competence as computing professionals, and to apply what they have learnt in the other components of their degree programme.
  • Facilitate independent work on a substantial individual project, including prioritisation of different components of the project, as well as prioritising the project as a whole against other work.

Learning Outcomes

On successful completion of this module, the student should be able to:

  1. Carry out a substantial computer science problem solving task.
  2. Work independently and prioritise different components of the work; manage a large project effectively.
  3. Take decisions and justify them convincingly.
  4. Present a literature review and preliminary results in the style of a computing magazine article, e.g. Communications of the ACM, as directed by the supervisor.
  5. Orally present work undertaken, and answer questions about it convincingly.
  6. Write a formal report, detailing work undertaken and conclusions reached.



Teaching methods

Lectures and Tutorials

Contact Hours:



Sessional: Continuous Assessment (100%)

Supplementary (where allowed): Reassessment: where allowed, by repeat only.

Detailed Syllabus

Not applicable

Programmes containing this module