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Overview
- Degree awarded
- Master of Science
- Duration
- 12 months full-time
- Entry requirements
-
We operate a selective staged admissions process. We give preference to students with the strongest grades from high-ranking institutions.
Successful applicants typically hold a First-class honours degree (70% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content.
We require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.
We accept a range of qualifications, and welcome applications from overseas applicants. A typical successful offer-holder will evidence:
- China : a minimum of 87% in a 4-year bachelor's degree from a well ranked institution.
- India : a minimum of 65% (First Class with Distinction) in a BSc Eng, BEng or BTech degree, depending on the institution.
For further information on international entry requirements, please contact pgt.compsci@manchester.ac.uk
- How to apply
As the entry requirements are the same across all MSc programmes in the Department of Computer Science, we ask that applicants place only one application for their preferred programme.
As there is high demand for this course we operate a staged admissions process with selection deadlines throughout the year. Please see the 'Application and selection' tab for the staged admissions schedule.
Course options
Full-time | Part-time | Full-time distance learning | Part-time distance learning | |
---|---|---|---|---|
MSc | Y | N | N | N |
Course overview
- Investigate both the theory and practice of machine-learning : from deep neural network architectures and causality to humanoid robots
- Part of pioneering history : take your computer science understanding to the next level at Manchester, a pioneer of computer science history and home to the first memory-stored computer
- Comprehensive curriculum : explore a broad range of expansive units, including core and optional topics
- Diverse specialisations : tailor your route to you, by choosing the areas which will best further your interests
- Hands-on experience : gain practical experience through your individual project that lets you apply advanced machine learning techniques to real-world problems
Open days
For details of the next University Postgraduate open day, please visit open days and visits .
Fees
For entry in the academic year beginning September 2025, the tuition fees are as follows:
-
MSc (full-time)
UK students (per annum): £14,000
International, including EU, students (per annum): £37,500
Further information for EU students can be found on our dedicated EU page.
The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.
All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of courses lasting more than a year for UK/EU students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit: postgraduate fees . Always contact the department if you are unsure which fee applies to your qualification award and method of attendance.
Self-funded international applicants for this course will be required to pay a deposit of £1000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
For more information, see the Department of Computer Science Fees and Funding page or visit The University of Manchester funding for master's courses website for more information.
Contact details
- Department
- Department of Computer Science
- Contact name
- Postgraduate Taught Admissions
- Telephone
- +44 (0)161 275 0900
- pgt.compsci@manchester.ac.uk
- Website
- https://www.cs.manchester.ac.uk/
- School/Faculty
-
The School of Engineering creates a world of possibilities for students pursuing skills and understanding. Through dynamic research and teaching we develop engineering solutions that make a difference to society in an ethical and sustainable way. Science-based engineering is at the heart of what we do, and through collaboration we support the engineers and scientists of tomorrow to become technically strong, analytically innovative and creative. Find out more about Science and Engineering at Manchester .
Related courses
- Advanced Computer Science MSc (1 year)
- Artificial Intelligence MSc (1 year)
- Cyber Security MSc (1 year)
Courses in related subject areas
Use the links below to view lists of courses in related subject areas.
Entry requirements
Academic entry qualification overview
We operate a selective staged admissions process. We give preference to students with the strongest grades from high-ranking institutions.
Successful applicants typically hold a First-class honours degree (70% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content.
We require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.
We accept a range of qualifications, and welcome applications from overseas applicants. A typical successful offer-holder will evidence:
- China : a minimum of 87% in a 4-year bachelor's degree from a well ranked institution.
- India : a minimum of 65% (First Class with Distinction) in a BSc Eng, BEng or BTech degree, depending on the institution.
For further information on international entry requirements, please contact pgt.compsci@manchester.ac.uk
English language
In order to be accepted onto an MSc programme in the Department of Computer Science, applicants need to provide evidence of having achieved the required level in a recognised English language qualification.
- IELTS: overall score of 7.0 with no sub-test below 6.5
- TOEFL iBT: at least 100 overall with no sub-test less than 22. We do not accept 'MyBestScore'. We do not accept TOEFL iBT Home Edition
- Pearson PTE: at least 76 overall with no sub-test below 70
- Pre-sessional English run by the University Language Centre
We also accept many other English language qualifications
from overseas, depending on the qualification, the scores obtained and the University's assessment of its academic suitability.
Please contact pgt.compsci@manchester.ac.uk
and we will be able to advise further.
English language test validity
Application and selection
How to apply
As the entry requirements are the same across all MSc programmes in the Department of Computer Science, we ask that applicants place only one application for their preferred programme.
As there is high demand for this course we operate a staged admissions process with selection deadlines throughout the year. Please see the 'Application and selection' tab for the staged admissions schedule.
Staged admissions
Applications to this course are considered through a staged admissions process with selection deadlines throughout the year. Due to the competition for places and high quality of applications that we receive, we give preference to students from high-ranking institutions and with grades above our minimum entry requirements.
Applications for 2025 entry :
Stage 1
: Application received by 8 November 2024; Decision by 10 January 2025.
Stage 2
: Application received by 3 January 2025; Decision by 7 March 2025.
Stage 3
: Application received by 28 Feb 2025; Decision by 2 May 2025.
Stage 4
: Application received by 23 May 2025; Decision by 20 June 2025.
Applications received after 23 May will be considered depending on course availability.
Whilst we aim to give you a decision on your application by the deadline date, in some instances due to the competition for places and the volume of applications received, it may be necessary to roll your application forward to the next deadline date. If this is the case, we will let you know after the deadline date.
Please note : all places are subject to availability and if you apply at one of the later stages, some courses may already be reaching capacity or be closed to further applications. We, therefore, recommend that you apply early in the cycle to avoid disappointment.
If we make you an offer, you will be given a deadline by which to accept. This is typically 6 weeks but may be shorter. Offers that are not accepted by the deadline will be withdrawn.
Applicants who are made a conditional offer of a place must provide evidence that they have met all the conditions of their offer by 31 July 2025.
Advice to applicants
We require the following documents before we can consider your application:
- Official Bachelor degree transcripts, including official translations and original language copies if study not undertaken in English. 2+2 and 3+1 applicants must provide official transcripts and certificates from both institutions.
- An official document from your university verifying your current weighted average mark (not arithmetic average) if this information is not included in your transcript of study. Please note: where grades are given as a percentage, the weighted average mark must also be recorded as a percentage, not as a GPA grade.
- Degree certificate if you have already graduated.@@If still studying, please provide an official list of all the modules you are taking in your final year.
- A CV if you graduated more than three years ago.
References and personal statements are not required for your application to this programme.
If English is not your first language, we also require proof of your English language ability. If you have already taken an English language qualification, please include your certificate with your application.
You must submit all these supporting documents with your application. If any of the above information is missing, we will not be able to consider your application and it may be withdrawn.
Applications received after the deadline will be considered at our discretion.
How your application is considered
We consider your full academic history including which course units you have taken and the marks obtained. Even if you have met our minimum entry requirements, we will take into account your marks in relevant course units in our final decision making.
If you graduated more than three years ago, we will also consider the information contained on your CV and any relevant work experience you have to assess if you are still able to fulfil the entry criteria.
Overseas (non-UK) applicants
CAS information
Self-funded international applicants for this course will be required to pay a deposit of £1,000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.
Please upload a copy of your current valid passport with your application showing the photograph page with your application. For CAS purposes, this must show your full name, date of birth, nationality, passport number and the date the passport is valid until, which must be later than the date of your planned arrival in the UK, and the start date of your course.
If you have previously studied in the UK on a Tier 4 visa as an undergraduate or postgraduate student, please send a copy of your previous CAS statement to us as it will assist with the issue of your new CAS statement. This includes study in the UK on study abroad programmes and any study that you did not complete.
You cannot use your CAS to apply for a visa more than three months before the start date of your course. The Admissions Team will contact you at the appropriate time.
Your CAS number is only valid for one Tier 4 application.
Deferrals
Applications for deferred entry are not accepted for this course. If you receive an offer and wish to be considered for the following year of entry, you will need to place a new application. Please be aware there is no guarantee of receiving another offer, and offer conditions are subject to change in line with entry requirements.
Re-applications
If you applied in the previous year and your application was not successful you may apply again. Your application will be considered against the standard course entry criteria for that year of entry. In your new application you should demonstrate how your application has improved. We may draw upon all information from your previous applications or any previous registrations at the University as a student when assessing your suitability for your chosen course.
Course details
Course description
From breakthroughs in medical decision making to previously unimaginable forecasting capabilities, machine learning has changed how we approach problem-solving forever. On this master’s course, you will take your understanding to new depths – investigating both the theory and practice of this revolutionary approach.
Your study spans a diverse yet in-depth set of modules, encompassing deep neural network architectures, language learning models, and cognitive humanoid robots. With our MSc Artificial Intelligence students, you will study both i) The Fundamentals of Machine Learning and ii) AI and its Applications, however you will also explore iii) Decision Making Under Uncertainty - a key concept when making decisions based on predictive models.
During your time with us, you will follow 75% of core taught material whilst also enjoying a wide choice for tailoring the remainder of your study with optional units. You may find one of the most rewarding elements of your course is your Master’s Project, which enables you to carry out a substantial technical task which truly focuses in on your area of interest.
As you depart this course as a well-trained postgraduate, you will find you have a widely applicable skillset – providing you with both the gift of choice and in a workplace where there is strong demand for machine learning skills.
Aims
The aim of the Machine Learning MSc programme is to enable graduate computer scientists to deepen their knowledge in one or a few specialisms. Specifically, the programme aims to:
- Enable graduate computer scientists to deepen their knowledge in machine learning (ML), so that they can identify methods that are appropriate to a particular application, select and explain suitable techniques, and build solutions with good understanding of their potential limitations
- Provide students with the opportunity to specialise in a variety of ML topics that provide a combination of skills that together address distinctive requirements.
- Enhance students’ ability to communicate complex technical results, through submissions on laboratory work in course units.
- Provide students with the opportunity to develop, apply and evaluate advanced ML techniques through an individual project. (MSc only)
-
Meet the needs of universities, industry, and other employers by supplying graduates with an ability to devise, apply, compare and evaluate advanced ML techniques.
Special features
Flexibility
You will follow three specialised themes, each of which combines two related course units, and choose a fourth theme from a wide range of options.
Strong links with employers
We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.
Excellent facilities
You will have access to a fantastic range of facilities and equipment. In the Kilburn Building, our hub of Computer Science, this includes our hardware library – equipped with everything from basic electronic components to VR headsets and drones. You can also study in and benefit from Our Home for Engineering and Materials
.
Welcoming community
You can join some of the various student societies, such as the Manchester University Data Science Society, UniCS, Sustainable Engineering Initiative, Volunteering and Outreach, Women in Science and Engineering and many more. Meet like-minded people, make new friends, master your subject, and discover just how powerful collaboration can be!
Championing gender diversity
It's our priority to make sure students feel seen and supported on their journey, so we're always looking to spotlight and uplift women, non-binary, and otherwise marginalised voices. Get first-hand guidance and insight from students, lecturers, and industry professionals from all different stages of their journey, on our podcast Big Sisters in STEM
.
Teaching and learning
At Manchester you will be taught by academic staff who are leading experts in machine learning, in a diverse and inclusive learning environment.
We use a combination of methods, including lectures, tutorial classes, computer-based sessions, and blended learning.
Coursework and assessment
You will learn through a mix of lectures and seminars, and supported by practical exercises. These skills are augmented through an MSc project, enabling you to put into practice the techniques you have been taught throughout the course.
Course unit details
This course aims to impart state-of-the-art knowledge within Machine Learning, 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 Machine Learning programme follows three specialised themes, each of which combines two related course units, and chooses a fourth theme from a wide range of options.
For September 2025 entry, you can find our course unit offering summarised below:
Mandatory
- Masters Project (60 credits)
- Cognitive Robotics and Computer Vision
- Transforming Text into Meaning (15 credits)
- Topics in Machine Learning (15 credits)
- Advanced Topics in Machine Learning (15 credits)
- Uncertain reasoning and learning (15 credits)
- Reinforcement Learning (15 credits)
Optional
: Logics for Knowledge Representation and Reasoning, Advanced Topics in Knowledge Representation and Reasoning, Introduction to Cryptography, Network Security, Formal Methods for Software Verification Security and Computer Science, Software Security, Secure Computer Architecture and Systems, Security and Privacy in Artificial Intelligence, Software Engineering Concepts in Practice, Software Discovery and Delivery, Engineering Interactive Systems, Mobile and Ubiquitous Interactions, Data Engineering Concepts, Data Engineering Technologies
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.
Title | Code | Credit rating | Mandatory/optional |
---|---|---|---|
Masters Project (60 Credits) | COMP66060 | 60 | Mandatory |
Introduction to Cryptography | COMP60201 | 15 | Optional |
Network Security | COMP60252 | 15 | Optional |
Secure Computer Architecture and Systems | COMP60261 | 15 | Optional |
Data Engineering Concepts | COMP63301 | 15 | Optional |
Software Security | COMP63342 | 15 | Optional |
Data Engineering Technologies | COMP63502 | 15 | Optional |
Reasoning and Learning under Uncertainty | COMP64101 | 15 | Optional |
Reinforcement Learning | COMP64202 | 15 | Optional |
Related research
In machine learning, our research investigates both theory and practice of machine learning, including deep neural network architectures and causality, and includes applications in medical decision making, machine learning models of language learning and cognitive development in humanoid robots.
Scholarships and bursaries
We offer a number of postgraduate taught scholarships and awards to outstanding UK and international students each year.
The University of Manchester is committed to widening participation in master's study, and allocates £300,000 in funding each year. Our Manchester Master's Bursaries are aimed at widening access to master's courses by removing barriers to postgraduate education for students from underrepresented groups.
For more information, see the Department of Computer Science Fees and Funding page or visit The University of Manchester funding for master's courses website for more information.
What our students say
Would you like to discover authentic stories when it comes to life at, and after, The University of Manchester? Engage with our student community at @uomscieng on Instagram and TikTok, and tune into our conversations with students, lecturers, and industry professionals on our popular podcast, Big Sisters in STEM .
Facilities
Our facilities are second to none. Based within Kilburn Building – hub of Computer Science – we have over 300 computers, newly refurbished labs, and substantial collaborative working labs with specialised computing and audio-visual equipment.
As our student, your projects and extra-curricular pursuits also benefit from our hardware library – equipped with everything from basic electronic components to VR headsets and drones.
You can also study in Our Home for Engineering and Materials
– an academic playground signifying our 200-year history of innovation in Science and Engineering at Manchester. The University of Manchester also offers an extensive library and online services
, helping you get the most out of your studies.
Disability support
Careers
Career opportunities
With breakthrough after breakthrough, it’s rare to find a field which develops life-altering solutions at such a rapid rate. A core pillar of artificial intelligence, machine learning is responsible for innovations in technology, medicine, business and beyond every year.
Equipped with the in-demand understanding nurtured on this course, you will graduate with a myriad of career opportunities in AI, data, and business analysis in particular. With your finely tuned knowledge, in combination with the reputation our courses have for being among the best in the country, as a postgraduate of this course your skillset will be in-demand. Which sector will you choose? How will you apply your skills to better, or further, an industry?
Examples of some of the careers you could pursue include:
- Business Analyst
- Data Scientist
- Data Analyst
- Machine Learning Engineer
Beyond your course-specific opportunities, it is also important to consider the supplementary career events and company visits organised by our faculty, Science and Engineering. What's more, our award-winning University Careers Service provides an outstanding support on career pathways, graduate jobs, internships, and postgraduate study.