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School of Engineering and Informatics (for staff and students)

Computer Science

(MComp) Computer Science

Entry for 2022

FHEQ level

This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.

Course learning outcomes

Demonstrate knowledge and understanding of the fundamental principles of computer science

Demonstrate knowledge and understanding of how these principles, logical concepts, data structures, algorithms and design approaches such as object orientation can be used to develop software-based solutions

Demonstrate knowledge and understanding of the professional and ethical responsibilities of computer scientists

Apply and implement appropriate theories and techniques to the design and development of computer systems such as information systems, distributed systems, programming language implementations,

Use appropriate criteria and tools for the planning, development, documentation, testing and evaluation of software systems

Use appropriate presentation skills

Specify, design, construct, test and evaluate computer-based systems using appropriate tools

Recognise sources of risk in computer-based systems

Recognise the capabilities and the limitations of computer-based solutions

Demonstrate an ability to undertake the management of complex software engineering projects, choosing and combining appropriate techniques from the range of current professional practice based on an informed critique.

Demonstrate an ability to undertake self-directed software engineering of complex systems, in particular through proposing and evaluating novel solutions to complex requirements.

Demonstrate a systematic and critical understanding of issues such as distributed systems, scalability, reliability, mobile devices, and multi-core systems, using appropriate models and tools,

Be able to clearly communicate challenges and risks, and the evaluation and choice amongst alternative solutions to these challenges, to both specialist and non-specialist audiences.

Demonstrate an working knowledge of scientific techniques in computer science, and design evaluations of innovative technologies using appropriate choices from these approaches.

Demonstrate a systematic understanding of the relevant research literature to relevant topics, e.g. distributed systems, scalability, reliability, mobile devices, and multi-core systems, and the ability to further research, analyse and critique the ideas presented.

Full-time course composition

YearTermStatusModuleCreditsFHEQ level
1Autumn SemesterCoreIntroduction to Programming (G5066)154
  CoreMathematical Concepts (G6012)154
  CoreProgramming Concepts (G6007)154
  OptionIntroduction to Multimedia (G5039)154
  The Ghost in the Machine? (G5077)154
 Spring SemesterCoreData Structures & Algorithms (G5117)154
  CoreFurther Programming (G5067)154
  CoreIntroduction to Computer Systems (G6008)154
  CoreProfessional Skills (G5120)154
YearTermStatusModuleCreditsFHEQ level
2Autumn SemesterCoreCompilers and Computer Architecture (G5035)155
  CoreDatabases (G6031)155
  CoreProgram Analysis (G6017)155
  OptionNatural Language Engineering (G5119)155
 Autumn & Spring TeachingOptionGame Design and Development (G6078)305
 Spring SemesterCoreComputer Networks (G5115)155
  CoreOperating Systems (G6059)155
  CoreSoftware Engineering (G6046)155
  OptionFundamentals of Machine Learning (G6061)155
YearTermStatusModuleCreditsFHEQ level
3Autumn SemesterCoreComparative Programming (G6021)156
  CoreHuman-Computer Interaction (G5026)156
  CoreIntroduction to Computer Security (G6077)156
 Autumn & Spring TeachingCoreIndividual Project (G5038)306
 Spring SemesterCoreLimits of Computation (G5029)156
  OptionAdvanced Natural Language Engineering (G5114)156
  Neural Networks (G5015)156
  Technology-Enhanced Learning Environments (G5065)156
  Web 3D Applications (H7006)156
YearTermStatusModuleCreditsFHEQ level
4Autumn SemesterCoreAdvanced Software Engineering (947G5)157
  CoreTopics in Computer Science (948G5)157
  OptionE-Business and E-Commerce Systems (943G5)157
  Managing Innovation (838N1)157
  Marketing Analysis and Financial Strategic Planning (863H1)157
  Mathematics and Computational Methods for Complex Systems (817G5)157
  Mobile Communications (826H1)157
  Quantum Computing (979G5)157
 Spring SemesterCoreEngineering Scalable and Reliable Software Project (975G5)157
  CoreEntrepreneurship (977G5)157
  CoreWeb Applications and Services (944G5)157
  Option3D Modelling and Animation (972G5)157
  Adaptive Systems (825G5)157
  Cryptography (L.7) (860G1)157
  Image Processing (521H3)157
  Intelligent Systems Techniques (802G5)157
  Machine Learning (934G5)157
  Mobile 3D Applications (920G5)157
  Technology-Enhanced Learning Environments (808G5)157

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÄûÃÊÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]