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MEng Artificial Intelligence / Course details

Year of entry: 2021

Course description

1st Year Team Projects - Computer Science UoM

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.

Special features

Gavin Brown, Professor in Machine Learning

For me, when a student develops a confidence in their own abilities is a good measure of success. I hope we instil the ability to learn new skills, and a confidence going out into the real world with them.

Knowing what you know, thus knowing where you would best fit in a job role, is a very important skill.

Gavin Brown / Professor in Machine Learning
  • 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 you will be taught by academic staff who are leading experts in computer science, in a diverse and inclusive learning environment. Teaching and Learning will be delivered using a variety of methods, including: 

  • Lectures 
  • Tutorial classes
  • Practical laboratory sessions 
  • Group activities
  • PASS sessions and peer mentoring

Some activities will be delivered face-to-face and others online, following a blended learning approach. 

The course contains strong practical elements: a year-long group project focused on the design and development of a web application in Year 1; development of software engineering skills through engagement with industrial mentors in Year 2; and a year-long individual project in Year 3. Each year aims to progressively build your skills, knowledge, and confidence in practical computer science.

A typical week in your first year of study will comprise 40 hours of activity, of which approximately 20 hours will be timetabled study and 20 hours will be independent or self-directed study. The timetabled study is a mix of practical and theoretical sessions.

As you progress through the course an increasing emphasis will be placed on independent study, and this reflects you applying your knowledge and skills in substantial individual and group projects. In your third year of study, between 25 and 30 hours each week will typically be independent study. You will be supported by staff through all of your independent study, and this transition to being able to explore your own ideas through project work is an important attribute of a graduate computer scientist.

PASS (Peer Assisted Study Sessions) and Peer Mentoring  

We're proud of our innovative PASS (Peer Assisted Study Sessions) and Peer Mentoring scheme. The PASS scheme provides additional support around the current week's tutorial. It's entirely voluntary and consists of second, third and fourth-year current students helping first years to tackle problems defined by the content of the current tutorial. The emphasis is on showing students how to think about the problems, how to develop problem-solving skills and how to get the most from the educational resources available. 

More about blended learning  

Some of your activity will be synchronous, where you learn live with your lecturer / peers and can interact as appropriate, helping you get support and feel part of a community. At other times it will be asynchronous, where you access materials like presentations, video content, online discussion boards or collaborative documents in your own time (within a framework provided by your programme).   

We believe this blended approach will help each individual study in a way that works best for them and will ensure students receive the best student-experience.

Coursework and assessment

The course is assessed by a variety of methods, each appropriate to the topic being assessed. These methods include practical exercises, presentations, practical demonstrations, and written and online examinations. You will also have opportunities to monitor your progress using online quizzes and tutorial exercises. 

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
Data Science COMP13212 10 Mandatory
Fundamentals of Computer Architecture COMP15111 10 Mandatory
Operating Systems COMP15212 10 Mandatory
Introduction to Programming 1 COMP16321 20 Mandatory
Introduction to Programming 2 COMP16412 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
Software Engineering 1 COMP23311 10 Mandatory
Software Engineering 2 COMP23412 10 Mandatory
Introduction to AI COMP24011 10 Mandatory
Machine Learning COMP24112 10 Mandatory
Knowledge Based AI COMP24412 10 Mandatory
Programming Languages & Paradigms COMP26020 20 Mandatory
Algorithms and Data Structures 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 BMAN20792 10 Optional
Managing Business Operations BMAN20811 10 Optional
New Product Development and Innovation BMAN20821 10 Optional
Marketing BMAN20832 10 Optional
Global Contexts of Business and Management BMAN21012 10 Optional
Chinese Business BMAN24501 10 Optional
Organisations and Employment BMAN24521 10 Optional
Work Psychology For Career Success BMAN24571 10 Optional
Logic and Modelling COMP21111 10 Optional
Processor Microarchitecture COMP22111 10 Optional
Microcontrollers COMP22712 10 Optional
Database Systems COMP23111 10 Optional
System Architecture COMP25212 10 Optional
Introduction to Visual Computing COMP27112 10 Optional
Distributed Systems COMP28112 10 Optional
Introduction to Arabic ULAR10032 10 Optional
British Sign Language 1 ULBS20011 10 Optional
British Sign Language 1 ULBS20012 10 Optional
LEAP Introduction to Chinese ULCH51002 10 Optional
LEAP Introduction to French ULFR51002 10 Optional
Introductory Spanish ULSP10021 10 Optional
LEAP Introduction to Spanish ULSP51002 10 Optional
Displaying 10 of 36 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
Giving Meaning to Programs COMP31311 10 Optional
Implementing System-on-Chip Designs COMP32211 10 Optional
The Internet of Things: Architectures and Applications COMP32412 10 Optional
Agile Software Pipelines COMP33312 10 Optional
User Experience COMP33511 10 Optional
AI and Games COMP34111 10 Optional
Cognitive Robotics COMP34212 10 Optional
Computational Game Theory COMP34612 10 Optional
Natural Language Processing COMP34711 10 Optional
Natural Language Understanding COMP34812 10 Optional
Chip Multiprocessors COMP35112 10 Optional
Algorithms and Complexity COMP36111 10 Optional
Mathematical Systems and Computation COMP36212 10 Optional
Computer Vision COMP37212 10 Optional
Advanced Distributed Systems COMP38311 10 Optional
Cyber Security COMP38412 10 Optional
Displaying 10 of 19 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
Data Analytics for Business Decision Making BMAN60422 15 Optional
Strategic Project Organising BMAN70391 15 Optional
Knowledge Management and Digital Strategy BMAN71652 15 Optional
Decision Behaviour, Analysis and Support BMAN73271 15 Optional
Automated Reasoning and Verification COMP60332 15 Optional
Modelling Data on the Web COMP60411 15 Optional
Introduction to Health Informatics COMP60542 15 Optional
Data Engineering COMP60711 15 Optional
Foundations of Machine Learning COMP61011 15 Optional
Representation Learning COMP61021 15 Optional
Text Mining COMP61332 15 Optional
Computer Vision COMP61342 15 Optional
Cryptography COMP61411 15 Optional
Cyber Security COMP61421 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
Essential Risk Management for Business MCEL63402 15 Optional
Displaying 10 of 20 course units for year 4

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.

For information about scholarships and bursaries please visit our  undergraduate student finance pages .

What our students say

Student Ambassadors working on an Open Day
Student Ambassadors working on an Open Day

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!'


Students working in the Collabs, Kilburn Building
Students working in the Collabs, Kilburn Building
As you would expect from leaders in the field, we offer some of the most up to date facilities in the world. Amongst the wide range of facilities available to you are:
  • Newly refurbished computing labs furnished with modern desktop computers, available with Linux and Windows
  • Access to world leading academic staff
  • Collaborative working labs complete with specialist computing and audio visual equipment to support group working.
  • Over 300 computers in the Department dedicated exclusively for the use of our students.
  • Access to a hardware library, with top of the range equipment, including drones, robots and oculus rifts.

Disability support

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