Showing content for section Overview
Overview
Deploy machine learning techniques and grapple with the ethics of artificial intelligence on this Master鈥檚 degree. You鈥檒l learn about the capabilities of AI frameworks,the growth of technological innovations in the field, and their application to real-world problems in engineering, healthcare, agriculture and beyond.
If you're interested in entering a new career in artificial intelligence and machine learning, you'll be able to build on your existing skills and studies through this conversion MSc course. It's designed to help you retrain, learn new skills or return to work after a career break. You can enter this course with basic or advanced computing skills, relevant industry experience, or a degree that shows your numerate background (such as Mathematics, Business Information Systems, Psychology or Applied Geography). Whatever your background, you can use this programme to convert your learning in computing, or in a relevant non-STEM subject, into an AI and machine learning qualification.
You鈥檒l develop your interest in interactions between humans and algorithms, using data and logic to predict behaviour, solve problems and contribute to further applications of artificial intelligence in the world.
You鈥檒l graduate with an understanding of how machine learning underpins modern life, its technical and ethical foundations, and practical experience in using relevant tools to apply AI methods in any industry you enter.
Join our Postgraduate Open Events
From finding out which postgraduate option is right for you, to exploring the perfect course, browse our upcoming webinars and in-person events and book your place today.
Eligibility
This course accepts UK, EU, and International students.
The 1024核工厂 is ranked 5th of the modern universities for research quality in computer science and informatics
Research Excellence Framework (REF) 2021
Course highlights
- Deepen your technical knowhow with consideration of the ethical and political issues around why AI is used, and its social outcomes
- Analyse large data sets with machine learning, and discover how to formulate solutions to contemporary business that bring people and algorithms together
- Use professional software (including Tableau, R, and Python), and complement your degree with access to Microsoft certification
- Study with research-active academic tutors, and take up opportunities to assist in ongoing research
- Undertake an artificial intelligence research project that works toward solving the current needs of society, or of our business partners, as part of your degree
- Develop skills for careers across the modern business landscape, from cyber security and robotics to finance, politics and social media analysis
-
Tailor your study to reflect your interests and your level of programming expertise, based on your choice of option module and accessing extra-curricular opportunities.
Contact information
Contact AdmissionsEntry requirements鈥
Eligibility
This course accepts UK, EU, and International students.
January 2025 start
- A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.
Please get in touch if you're not sure if your undergraduate subject is relevant to this degree.
Equivalent professional experience and/or qualifications will also be considered, such as previous study, employment, voluntary work and training courses, including courses and qualifications you didn't complete. Learn more about our Recognition of Prior Learning (RPL).
If you're applying as an international student with a non-UK degree, you鈥檒l need to show you meet the UK entry requirements listed above.
To find out if your non-UK degree or other qualification is accepted, please visit our page for your country and view the UK equivalent of your qualification.
- English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
You do not need an IELTS or equivalent certification if:
- you have a UK degree
- you have a degree from a majority English speaking country (not taught by Distance Learning)
- you are a national of a majority English speaking country
Degrees taught solely in English from non-majority English speaking countries will be considered on a case by case basis. Find out more about our English language requirements.
If you do not meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
September 2025 / January 2026 start
- A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.
Please get in touch if you're not sure if your undergraduate subject is relevant to this degree.
Equivalent professional experience and/or qualifications will also be considered, such as previous study, employment, voluntary work and training courses, including courses and qualifications you didn't complete. Learn more about our Recognition of Prior Learning (RPL).
If you're applying as an international student with a non-UK degree, you鈥檒l need to show you meet the UK entry requirements listed above.
To find out if your non-UK degree or other qualification is accepted, please visit our page for your country and view the UK equivalent of your qualification.
- English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
You do not need an IELTS or equivalent certification if:
- you have a UK degree
- you have a degree from a majority English speaking country (not taught by Distance Learning)
- you are a national of a majority English speaking country
Degrees taught solely in English from non-majority English speaking countries will be considered on a case by case basis. Find out more about our English language requirements.
If you do not meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
鈥婥osts and funding
Tuition fees
UK, Channel Islands and Isle of Man students
- Full time: 拢10,400 (may be subject to annual increase)
EU students
- Full time: 拢10,400 (may be subject to annual increase)
This figure includes the Transition Scholarship for EU students.
International students
- Full-time: 拢19,200 (may be subject to annual increase)
UK, Channel Islands and Isle of Man students
- Full-time: 拢10,900 (may be subject to annual increase)
EU students
(including Transition Scholarship)
- Full-time: 拢10,900 (may be subject to annual increase)
International students
- Full time: 拢19,200 (may be subject to annual increase)
1024核工厂 graduates may receive a 20% alumni tuition fee discount.
Fees are subject to annual increase. Read our tuition fees terms and conditions.
You'll be able to pay your fees in instalments. Find out how to pay your tuition fees.
Funding your studies
Explore how to fund your studies, including available scholarships and bursaries.
If you're a UK student, you may be eligible for a Government Postgraduate Master's Loan, which you can use to help with course fees and living costs.
Loans, scholarships and bursaries
Browse funding such as the Government Postgraduate Loan, our scholarships for new and returning students, and subject specific loans.
Funding for international students
Learn more about sponsorships, scholarships and loans for students applying from outside of the UK.
Fees and funding for Master's courses
Explore Master's funding options, including loans, scholarships, bursaries and more.
Additional costs
These course-related costs aren't included in the tuition fees, so you'll need to budget for them when you plan your spending. Additional costs could include:
- Accommodation: Accommodation options and costs can be found on our accommodation pages.
- Recommended reading: You can borrow key texts from the library and if you choose to purchase these texts they may cost up to 拢60 each.
- General costs: Such as photocopying, memory sticks, printing charges, binding and specialist printing. We suggest budgeting 拢75 per year.
- Final project transport or accommodation: where necessary, which related to your research activities. The amount will depend on the project you choose.
Read more about tuition fees and living costs, including what your tuition fees cover.
Modules
What you'll study
Core modules
Whether you're developing novel software or pursuing theoretical advances, you'll formulate robust aims backed by methodical data gathering/analysis. Once you've reached your findings, you'll present polished written and oral reports that show your knowledge of ethical and professional considerations, demonstrating your abilities to direct projects advancing industry or academia.
You'll assess different kinds of machine learning approaches and focus on problem solving using AI.
Applying advanced techniques like semantic analysis and clustering algorithms, you will uncover hidden patterns across text, speech and multimedia to solve real-world challenges.
You'll use industry-standard applications and relevant programming languages, such as Python, to solve problems in data analytics, artificial intelligence and machine learning. As you analyse programming concepts and troubleshoot your own code, you'll strengthen your ability to work with and create data applications.
In this research-informed module, you'll learn to use scale-out architectures and platforms, then apply your knowledge to two complex datasets drawn from your lecturers' research interests (such as cybersecurity, healthcare, robotics or cosmology). You'll also develop the confidence to advise on the use of AI and big data for live problems.
You'll study the concepts that inform explainable AI (XAI), and its ability to audit processes, surface insights and quantify fairness. Then you'll design and build XAI systems able to respond to industry case studies, and validate your results. Working with innovative tools like SHAP and LIME, you'll work toward delivering AI that augments human intelligence - fostering collaboration rather than replacement as systems permeate everyday experiences.
Optional modules
You'll use cloud-based data warehousing, multi-dimensional modelling and professional coding techniques to discover and visualise your BI insights.
On this module, you'll grasp the theories associated with information security and examine the major current threats in the field. You'll also explore core technical topics, such as access control and cryptography, alongside legal and ethical issues in hacking and information security.
In this module, you'll sharpen your data communication abilities by using visualisation tools and forecasting techniques to create clear dashboards, in line with best practice in the data analytics field.
You'll dig into algorithms, probability models and ways to perform "risky inference" as you build a data model. Using concepts such as cross validation, Bayesian inference and regularisation, you'll prepare for careers or further research in machine learning, with advanced understanding of the theories that power it.
Changes to course content
We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies.
Therefore, some course content may change over time to reflect changes in the discipline or industry. If a module doesn't run, we'll let you know as soon as possible and help you choose an alternative module.
Your facilities
SCIAMA Supercomputer
Use a supercomputer that can simulate vast regions of the Universe, investigate the properties of hundreds of millions of galaxies and has been used to run complex cosmological experiments and simulations, including supermassive black hole simulations.
High Performance Computing
Our most powerful hardware for working with big data. Access to a Hadoop Cluster with 12 nodes, 144 virtual cores and 384GB RAM for completing process heavy tasks. Join student-run clubs, like our Student Google Developer Club and the IT Society.
How you'll spend your time
We recognise that you'll probably be juggling more demands when you do your Master's degree, as you may be working or you may have family responsibilities.
We'll give you as much indication here as we can of how much time you'll need to be on campus and how many hours you can expect to spend in self-directed study, but please note that these indications are always subject to change. You should receive your full timetable several weeks before you start with us.
Course structure
This Master's degree will take 12 months (full-time study).
You can expect:
- 8 to 10 hours of teaching per week. We do our best to keep all teaching within three days, leaving you the rest of the week for work experience or self-guided study
- 20 to 30 hours of independent study each week
In the last 3 months of the course you'll be focusing on your research project.
Teaching
Master's study is deeper and more specialised than an undergraduate degree. This means you'll focus on something that really matters to you and your career as you work closely with academics committed to the subject.
You'll spend more time in independent study and research than you did for your undergraduate degree, but the majority of your teaching time will be in-person and face-to-face.
Teaching on this course includes:
- lectures
- seminars
- practical sessions
- group work
Teaching staff
These are some of the expert staff who'll teach you on this course:
Alexander Gegov
I'm one of the Readers in Computational Intelligence, and I'll be one of your lecturers on this course.
My research focuses on intelligence methods and their application for modelling and simulation of complex systems and networks. I've edited four books, authored five research monographs and over twenty book chapters 鈥 most of these published by Springer. I've also authored over 50 articles and 100 papers in international journals and conferences 鈥 many of these published and organised by IEEE.
I've presented over 20 invited lectures and tutorials at international scientific events including IEEE Congresses, Symposia, Conferences and Summer Schools on Fuzzy Systems, Intelligent Systems, Computational Intelligence and Cybernetics. I'm also a Member of the IEEE Working Groups on Explainable Artificial Intelligence and Fuzzy Markup Language as well as the IEEE Task Forces on Explainable Fuzzy Systems and Fuzzy Systems Software.
Ella Haig
I'm a female reader in Computational Intelligence who uses artificial intelligence and machine learning to identify patterns of behaviour. My research solves practical problems, for example, using the data logged by an educational system to identify patterns of students鈥 behaviour to inform effective support.
Other research examples are: (1) analysing network data to identify if someone is attempting to infect your computer and take control of it, and (2) analysing language patterns on social media, such as the use of negative and disrespectful expressions.
My work is published internationally, and I'm an editorial member for a number of high impact journals.
Ivan Jornadov
I'm a Reader in Computational Intelligence at the School of Computing, with research interests including AI, Machine Learning, Neural Networks, Data Analytics, and Global Optimization. I have a special interest in Deep Learning approaches for solving signal and pattern recognition, classification, and prediction problems.
I've published over 100 articles, including several textbooks and chapters in books, and have been invited lecturer and speaker at a number of conferences and universities worldwide. I'm currently leading a large collaborative three year EPSRC project 鈥淒eep Learning Models for Fetal Monitoring and Decision Support in Labour鈥 with Oxford University and Oxford University Hospitals NHS Trust.
Assessment
You鈥檒l be assessed through:
- practical coursework
- reports and/or essays
- group projects
- exams
Term dates
September start
The Master's academic year runs from September to the following September. There are breaks at Christmas and Easter. Over the summer you'll be writing your project/dissertation.
Joining us as an international student
You'll feel at home in our international community and our diverse city. You'll be joining over 5,000 international students from more than 150 countries who are studying with us.
Learn more about international student life and how we can help you with visas, applications, arrival and settling in.
Career development
Careers this Master鈥檚 prepares you for
As a successful graduate of this course, you'll have developed practical skills in data analysis, programming and problem solving.
You鈥檒l have demonstrable experience with industry-standard software, and a network of industry connections made up of your graduating class and lecturers. If you choose to work with one of our business partners in your final project, you'll also have made professional contacts in the sector while making your analytical insights.
You鈥檒l also have an understanding of the opportunities that AI and machine learning methods offer to any modern career, and a grounding in research and innovation methods that help you seize 鈥 or create 鈥 new opportunities throughout your career.
Graduates of this course will be prepared for roles including:
- Senior machine learning engineer
- Technology innovator
- AI consultant
- Data scientist
- Data engineer
- Automation specialist
- Business intelligence consultant
Career outcomes shown are sourced from the latest available graduate outcome surveys. The data shows career outcomes at 15 months after graduation.
Career planning
During your course you'll have expert careers advice from our Careers and Employability Centre, your tutors and our Student Placements and Employability Centre. You can access support from our Careers and Employability Centre for up to 5 years after you graduate.
Career support
You'll benefit from:
- Networking events
- Applied projects with companies such as IBM, Boeing and Hampshire County Council
- 1-to-1 appointments
- CV and cover letter advice
- Interview preparation and practice
- Workshops to enhance your employability skills
- Recruitment events including the Student and Graduate Opportunities Fair
- Support starting your own business
Supporting you
Master's study is more focused on independent learning than undergraduate study, but you'll get lots of support via video, phone and face-to-face from teaching and support staff to enhance your learning experience and help you succeed. You can build your personalised network of support from the following people and services:
Types of support
Your personal tutor helps you make the transition to postgraduate study and gives you academic and personal support throughout your Master's.
As well as regular scheduled meetings with your personal tutor, they're also available at set times during the week if you want to chat with them about anything that can't wait until your next meeting.
You'll have help from a team of faculty learning support tutors. They can help you improve and develop your academic skills and support you in any area of your study in one-on-one and group sessions.
They can help you:
- master the mathematics skills you need to excel on your course
- understand engineering principles and how to apply them in any engineering discipline
- solve computing problems relevant to your course
- develop your knowledge of computer programming concepts and methods relevant to your course
- understand and use assignment feedback
All our labs and practical spaces are staffed by qualified laboratory support staff. They鈥檒l support you in scheduled lab sessions and can give you one-to-one help when you do practical research projects.
During term time, Faculty Academic Skills Tutors (AST) are available for bookable 1-to-1 sessions, small group sessions and online sessions. These sessions are tailored to your needs.
Support is available for skills including:
- University study
- Getting into the right study mindset
- Note-taking and note-making skills
- Referencing
- Presentation skills
- Time management, planning, and goal setting
- Critical thinking
- Avoiding plagiarism
If you have a disability or need extra support, the Additional Support and Disability Centre (ASDAC) will give you help, support and advice.
Our online will help you plan for managing the challenges of learning and student life, so you can fulfil your potential and have a great student experience.
You can get personal, emotional and mental health support from our Student Wellbeing Service, in person and online. This includes 1鈥2鈥1 support as well as courses and workshops that help you better manage stress, anxiety or depression.
If you require extra support because of a disability or additional learning need our specialist team can help you.
They'll help you to:
- discuss and agree on reasonable adjustments
- liaise with other University services and facilities, such as the library
- access specialist study skills and strategies tutors, and assistive technology tutors, on a 1-to-1 basis or in groups
- liaise with external services
Library staff are available in person or by email, phone or online chat to help you make the most of the University鈥檚 library resources. You can also request one-to-one appointments and get support from a librarian who specialises in your subject area.
The library is open 24 hours a day, every day, in term time.
The Maths Cafe offers advice and assistance with mathematical skills in a friendly, informal environment. You can come to our daily drop-in sessions, develop your mathematics skills at a workshop or use our online resources.
If English isn't your first language, you can do one of our English language courses to improve your written and spoken English language skills before starting your degree. Once you're here, you can take part in our free In-Sessional English (ISE) programme to improve your English further.
How to apply
Unlike undergraduate applications, which go through UCAS, applications for this Master's course are made directly to us.
There's no deadline for applications to this course. We accept applications right up until the start date in September, as long as there are places available. If you wait until September to apply, you may find that the course is full.
If you're applying as an international student, remember that you'll need to leave plenty of time to get your visa organised.
You can find more advice about applying in our Master's application checklist. International students and current students and recent graduates of the 1024核工厂 also have some different application options, which are detailed below.
Extra information for international students
If you're an international student, you can apply directly to us using the same application form as UK students.
You could also get an agent to help with your application. Check your country page for details of agents in your region. To find out what to include in your application, head to the how to apply page of our international students section.
If you don鈥檛 meet the English language requirements for this course yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
Ready to apply?
When you're ready to begin your application, choose your start date.
Start this course in January 2025
Start this course in September 2025
Start this course in January 2026
I'm a current 1024核工厂 student, or a recent 1024核工厂 graduate
If you're currently in your final year of study at 1024核工厂, or you graduated since July 2024, you're eligible to make a fast track application. You'll have:
- a shorter application form to complete
- access to the 20% Alumni fee discount
- a guaranteed conditional offer, for most Master's courses
After you apply
Once we receive your application, we may ask you for further information. We will then either make you an offer or suggest alternatives if your application is unsuccessful.
You'll usually get a decision within 10 working days, so you shouldn't have to wait too long. Some courses have an interview stage 鈥 we'll let you know if you need to prepare for one.
Learn more about how we assess your application.
Admissions terms and conditions
When you accept an offer to study at the 1024核工厂, you also agree to abide by our Student Contract (which includes the University's relevant policies, rules and regulations). You should read and consider these before you apply.