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MEng Artificial Intelligence / Course details

Year of entry: 2018

Course description

One of the challenges in computing is to make computers demonstrate intelligent behaviour, so that they can solve new problems or cope with the unknown. Current achievements include image and voice recognition, and NASA's Mars Rovers. By combining the study of artificial intelligence and traditional computing techniques with an understanding from psychology of how humans learn, these degree programmes prepare you for a career applying computing in challenging applications.

Artificial intelligence related topics covered include techniques for representing and reasoning about knowledge, including approaches in machine learning in which general patterns are learned from examples. These programmes give you the opportunity to study these techniques, and their application in areas such as computer vision, games, natural language processing and the semantic web.

This four-year full-time MEng programme enhances the contents of the equivalent three-year BSc programme by enabling you to study specialised topics to a greater depth and broaden your skills and experience with a period in industry, enterprise related courses, and industrially-focused project work. The enhancements enable you to develop an in depth specialist knowledge across a range of computing subjects, including some covered by the MSc in Advanced Computer Science. They also allow you to understand the business skills needed to develop and manage a successful business exploiting computing technology.

Detailed programme and course unit information is available here

Special features

  • Enhanced breadth and depth of understanding of relevant topics.
  • Emphasis on industrial relevance through industrially related group project.
  • On graduating from this programme you will satisfy the educational requirements needed to become a chartered engineer.
  • Course units and themes of relevance to Artificial Intelligence include:
    • Fundamentals of Artificial Intelligence.
    • Artificial Intelligence Programming.
    • Machine Learning and Games.
    • Natural Language, Representation and Reasoning.
    • Visual Computing.

Teaching and learning

At Manchester we aim to provide a unique experience. Studying Computer Science with us will give you the chance to follow your academic curiosity and explore a fascinating subject.

A significant amount of your work will be project-based team work, tackling real problems. You will see how computer science is directly applicable to solving problems, across a broad range of areas.

The emphasis throughout is on independent learning, supported by regular meetings in small groups with personal tutors. You receive practical help and support from experienced staff and postgraduates, with leading experts guiding your learning and stimulating your interest. This approach is supported by conventional lectures and comprehensive on-line learning resources. We also provide excellent facilities, including specialist laboratories to support areas such as engineering and robotics.

Coursework and assessment

Unseen examinations account for about 60% of the assessment. These assess your abilities in the selection and application of knowledge, problem solving, and the design and evaluation of software or electronics. Other assessment is mainly through laboratory-based coursework that provides you with the opportunity to demonstrate your understanding of computer science of electronic principles by tackling specific problems on a more realistic scale, both individually and in groups. The remaining assessment is through presentations and essays where, in particular, you demonstrate the transferable skills you have acquired. In the third and final year, the non-examination assessment is mainly made up of the practical project.

Course content for year 1

Course units for year 1

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
First Year Team Project COMP10120 20 Mandatory
Mathematical Techniques for Computer Science COMP11120 20 Mandatory
Fundamentals of Computation COMP11212 10 Mandatory
Fundamentals of Computer Engineering COMP12111 10 Mandatory
Fundamentals of Artificial Intelligence COMP14112 10 Mandatory
Fundamentals of Computer Architecture COMP15111 10 Mandatory
Object Oriented Programming with Java 1 COMP16121 20 Mandatory
Object Oriented Programming with Java 2 COMP16212 10 Mandatory
Fundamentals of Distributed Systems COMP18112 10 Mandatory

Course content for year 2

Course units for year 2

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
Fundamentals of Databases COMP23111 10 Mandatory
Software Engineering 1 COMP23311 10 Mandatory
Software Engineering 2 COMP23412 10 Mandatory
Machine Learning and Optimisation COMP24111 10 Mandatory
Symbolic AI COMP24412 10 Mandatory
Operating Systems COMP25111 10 Mandatory
Algorithms and Imperative Programming COMP26120 20 Mandatory
Fundamentals of Management BMAN10011 10 Optional
Fundamentals of Technological Change BMAN10252 10 Optional
Fundamentals of Finance BMAN10552 10 Optional
Business Economics BMAN10612 10 Optional
Fundamentals of Financial Reporting B BMAN10621B 10 Optional
Fundamentals of Management Accounting BMAN10632 10 Optional
Introduction to Corporate Finance and Financial Instruments BMAN20242 10 Optional
Technology, Strategy and Innovation 1 BMAN20792 10 Optional
Managing Business Operations BMAN20811 10 Optional
New Product Development and Innovation BMAN20821 10 Optional
Marketing BMAN20832 10 Optional
Organisations and Employment BMAN20842 10 Optional
Global Contexts of Business and Management BMAN21012 10 Optional
Introduction to Business Information Systems BMAN21061 10 Optional
Logic and Modelling COMP21111 10 Optional
Processor Microarchitecture COMP22111 10 Optional
Microcontrollers COMP22712 10 Optional
System Architecture COMP25212 10 Optional
Computer Graphics and Image Processing COMP27112 10 Optional
Distributed Computing COMP28112 10 Optional
Computer Networks COMP28411 10 Optional
Mobile Systems COMP28512 10 Optional
Displaying 10 of 29 course units for year 2

Course content for year 3

Course units for year 3

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
Third Year Project Laboratory COMP30040 40 Mandatory
Enterprise Management for Computer Scientists MCEL30031 10 Mandatory
Managing Finance in Enterprises for Computer Scientists MCEL30032 10 Mandatory
Implementing System-on-Chip Designs COMP32211 10 Optional
The Internet of Things: Architectures and Applications COMP32412 10 Optional
User Experience COMP33511 10 Optional
Agile Software Engineering COMP33711 10 Optional
Software Evolution COMP33812 10 Optional
AI and Games COMP34120 20 Optional
Natural Language Systems COMP34412 10 Optional
Chip Multiprocessors COMP35112 10 Optional
Advanced Algorithms 1 COMP36111 10 Optional
Advanced Algorithms 2 COMP36212 10 Optional
Compilers COMP36512 10 Optional
Advanced Computer Graphics COMP37111 10 Optional
Computer Vision COMP37212 10 Optional
Documents, Services and Data on the Web COMP38120 20 Optional
Cryptography & Network Security COMP38411 10 Optional
Displaying 10 of 18 course units for year 3

Course content for year 4

Course units for year 4

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
Summer Industrial Project COMP40901 25 Mandatory
Business Feasibility Study MCEL40042 15 Mandatory
IS Strategy & Enterprise Systems BMAN60111 15 Optional
Modelling Data on the Web COMP60411 15 Optional
Foundations of Machine Learning COMP61011 15 Optional
Mobile Communications COMP61242 15 Optional
Cyber Security COMP61421 15 Optional
Querying Data on the Web COMP62421 15 Optional

Scholarships and bursaries

The University of Manchester is committed to attracting and supporting the very best students. We have a focus on nurturing talent and ability and we want to make sure that you have the opportunity to study here, regardless of your financial circumstances. It is estimated that more than a third of our students will receive bursaries of up to £3,000 per year and many will be offered even more generous support. For further information, please visit the University scholarships and bursaries page.

What our students say

Ben London: MEng Computer Science, current student

'The course has allowed me to study a subject that I enjoy and offers a wide range of modules meaning that I can select the areas that interest me most. During various modules we have heard from external lecturers representing a range of companies and organisations. This has provided me with a wider prospective of industry and even a few inside tips!'

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: