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Artificial Intelligence MSc, PGDip

12-28 months, full-time

Advance your computing skills with specialist knowledge in Artificial Intelligence, machine learning and data-driven systems – from foundational methods to generative AI in software development.

Artificial Intelligence MSc, PGDip, 12-28 months, full-time

Advance your computing skills with specialist knowledge in Artificial Intelligence, machine learning and data-driven systems – from foundational methods to generative AI in software development.

Course information

Taught by School of Computing and Mathematical Sciences

Course description

Course description

Please note, this course is being advertised subject to approval.

Artificial Intelligence (AI) is transforming the world – powering breakthroughs in healthcare, revolutionising finance, enhancing productivity in software development and shaping the future of society. This course will equip you with the deep technical skills and critical understanding needed to design, build and evaluate intelligent systems in real-world contexts.

This degree offers a focused pathway for students looking to specialise in AI. You will study core topics such as machine learning, data analytics, and computational intelligence, while also engaging with the social, ethical and security challenges raised by AI technologies. In your final project, you’ll work independently on a substantial AI-focused research or development problem, often linked to active research or industrial priorities.

Throughout the course, you will benefit from hands-on experience using state-of-the-art tools and methods, including generative AI frameworks, big data platforms and secure AI deployment practices. Optional modules give you the flexibility to tailor your learning to specialist areas such as bioinformatics, quantum machine learning, user-centred design or cloud computing.

Designed to meet the rising demand for skilled AI professionals, this course will prepare you to succeed in a wide range of careers or further research in this high-growth area. Whether you aim to become a machine learning engineer, data scientist, AI policy advisor, researcher or enter another profession, this MSc provides a strong foundation for your future.

Entry requirements

Entry requirements

2:1 degree (or equivalent) in a relevant subject with a substantial element of Computing. Relevant work experience may also be considered.

English Language Requirements

IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.

International Qualifications

Find your country in this list to check equivalent qualifications, scholarships and additional requirements.

Countries list

Fees and funding

Fees and funding

UK Students

Starting in January 2026

  • MSc: £10,950
  • PGDip: £8,760
  • MSc with Industry: £10,950

An additional fee of £3,520 will be charged if a placement is secured.

If you are resident outside the UK and the Republic of Ireland, you will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.

Find out more about scholarships and funding.

Did you know you can apply for a Government Postgraduate Loan? Find out if you’re eligible.

International Students

Starting in January 2026

  • MSc: £23,650
  • PGDip: £18,920
  • MSc with Industry: £23,650

An additional fee of £3,520 will be charged if a placement is secured.

You will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.

If you are an EU national with settled or pre-settled status under the EU settlement scheme, you may qualify for the UK fee (subject to criteria).

Find out more about scholarships and funding.

Careers and employability

Careers and employability

You will graduate with sought-after technical expertise in areas such as predictive analytics, deep learning, algorithm design and secure AI systems.

Modules like Big Data and Predictive Analytics and Generative Development offer real-world tools and techniques used by industry leaders. The AI Security, Ethics, and Management module ensures that you are also prepared to navigate the legal and social responsibilities of deploying AI.

Career support is embedded throughout the programme, with opportunities to develop professional and collaborative skills through the Personal and Group Skills module.

You can also access advice and guidance on career planning, CV building and interview techniques from the University’s Careers and Employability Service.

Graduates will be well prepared for roles such as:

  • Machine Learning Engineer
  • Data Scientist or AI Analyst
  • AI Solutions Architect
  • Research and Development Engineer
  • AI Product Manager
  • Policy Advisor on AI Governance

Many students also go on to pursue PhD study or research careers in academic and industrial labs. Leicester’s strong research base and professional networks provide excellent stepping stones for both career paths.

Our Careers and Employability Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.

Course structure

Core modules

Core modules

Semester 1

Semester 2

Plus your

The modules listed reflect those currently available to students. Every year, we review our modules and their content to ensure that our courses maintain the best academic and student experience possible. Whilst this does mean elements of your course may change in future academic years, it ensures your course is giving you a research-inspired education and preparing you for your future.

Optional modules

Optional modules

Semester 1

Semester 2

The modules listed reflect those currently available to students. Every year, we review our modules and their content to ensure that our courses maintain the best academic and student experience possible. Whilst this does mean elements of your course may change in future academic years, it ensures your course is giving you a research-inspired education and preparing you for your future.

Industry Placement (optional)

Industry Placement (optional)

The ‘With Industry’ variant of this degree gives you the opportunity to gain professional experience through an industrial placement as part of your Masters course. This is a work placement with an employer where you can apply your skills in a real-world setting.

Placement details

Placements last between nine and eleven months and are normally paid, full-time roles with a formal contract between you and the employer.

Placements begin after the taught part of your course finishes. After your placement has finished, you will return to the University to complete your dissertation or individual project.

You will gain valuable industry experience, helping you develop key skills and enhance your career prospects.

Important information

Securing an industrial placement is very competitive. While the University will fully support you in your search for a placement, securing a placement is not guaranteed. You will be responsible for applying to, and securing, an opportunity.

You will receive support from:

  • The Careers and Employability Service, which provides access to placement opportunities, job search strategies, CV and cover letter advice, and interview preparation.
  • A dedicated Placement Tutor, who will guide you during your placement and help you reflect on the skills and experience gained.

Benefits of a ‘With Industry’ degree

By choosing this option, you will:

  • Gain an understanding of working in a professional setting (industry, commercial, or non-commercial).
  • Experience real-world business and technical challenges.
  • Develop hands-on experience in project management and working to deadlines.
  • Improve your employment prospects through essential transferable skills.
  • Gain a clearer understanding of the career path you wish to pursue.

An Industrial Placement still incurs a tuition fee, but this is much lower than for a normal year at Leicester. You may also be eligible for financial support through Student Finance. See the Fees and Funding tab of this page for details.

The modules listed reflect those currently available to students. Every year, we review our modules and their content to ensure that our courses maintain the best academic and student experience possible. Whilst this does mean elements of your course may change in future academic years, it ensures your course is giving you a research-inspired education and preparing you for your future.

Why Leicester

Many of our staff are leading in AI research, collaborating with colleagues from the UK and around the world.

We work with industry partners and other academic schools at Leicester to support them in adopting and developing AI systems.

The School of Computing and Mathematical Sciences has Staff-Student Committees - consisting of student representatives and members of staff. These provide a forum to provide feedback and make improvements.

Computing at Leicester is a thriving academic community with extensive experience in delivering high quality courses and undertaking pioneering research.

Teaching and learning

Teaching methods include lectures, seminars, self-paced learning and practicals. Assessment is a mixture of coursework, computer-based, essays, small group projects and exams.

The compulsory 'Personal and Group Skills' module combines seminars, group discussions and collective essay writing on selected topics, as well as a series of workshops on transferable skills and career planning.

Your project and, where relevant, industry placement will be assessed separately.

Key dates

January 2026 start

  • Application deadline: 16 November 2025
  • Deposit payment deadline: 30 November 2025
  • CAS request deadline: 14 December 2025
  • 70% tuition payment deadline: 14 December 2025

September 2026 start

  • Application deadline: 4 September 2026 (Please note if you require a visa to study you will be required to submit your course application by 24 July 2026)
  • Deposit payment deadline: 7 August 2026
  • CAS request deadline: 4 September 2026
  • 70% tuition payment deadline: 4 September 2026
 

Apply now

Course Qualification Duration Start Dates Availability
Course Artificial Intelligence Qualification MSc Duration 12-16 months, full-time Start Dates September each year, January 2026 Availability

This course is being advertised subject to approval.

Course Artificial Intelligence with Industry Qualification MSc Duration 24-28 months, full-time Start Dates September each year, January 2026 Availability

This course is being advertised subject to approval.

Course Artificial Intelligence Qualification PGDip Duration 9-12 months, full-time Start Dates September each year, January 2026 Availability

This course is being advertised subject to approval.

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