MSc Advanced Computer Science / Course details

Year of entry: 2020

Course description

A student following the Advanced Computer Science course chooses two from about a dozen themes, each of which combines around four related course units that build on top of each other. Certain combinations are integrated into specialised  pathways .

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as the medical, health and life sciences and the humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Course unit details

This is a high quality course aimed at imparting advanced knowledge across a broad range of Computer Science and offering training in advanced skills. It is suitable for those who wish to enhance their computing skills in order to improve their contribution to IT-related industry or to pursue R&D in academia or industry.

A student following the Advanced Computer Science course chooses two from about a dozen themes, each of which combines two related course units that build on top of each other. Certain combinations are integrated into specialised  pathways . A student who opts to follow the pathways will have the pathway specialism included in their degree certificate.

Course unit list

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Masters Project COMP66090 90 Mandatory
Automated Reasoning and Verification COMP60332 15 Optional
Modelling Data on the Web COMP60411 15 Optional
Principles of Digital Biology COMP60532 15 Optional
Introduction to Health Informatics COMP60542 15 Optional
Data Engineering COMP60711 15 Optional
Systems Governance COMP60721 15 Optional
Foundations of Machine Learning COMP61011 15 Optional
Modelling and Visualisation of High-Dimensional Data COMP61021 15 Optional
Text Mining COMP61332 15 Optional
Computer Vision COMP61342 15 Optional
Cryptography COMP61411 15 Optional
Cyber Security COMP61421 15 Optional
Software Engineering Concepts in Practice COMP61511 15 Optional
Ontology Engineering for the Semantic Web COMP62342 15 Optional
Querying Data on the Web COMP62421 15 Optional
Agile and Test-Driven Development COMP62521 15 Optional
Component-based Software Development COMP62532 15 Optional
Pattern-Based Software Development COMP62542 15 Optional
Displaying 10 of 19 course units

Additional fee information

Facilities

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk