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Master of Science - Artificial Intelligence and Machine Learning (Placement Year)

University of Brighton

Moulsecoomb — Brighton, South East, United Kingdom

Study Level
Postgraduate · Master's Degree
Duration
To be confirmed
Study Mode
To be confirmed
Next Intake
January 2027
Tuition Fee
GBP 18,792
Application Fee
None listed
Scholarships Available
None listed
Post-Study Work Information
Graduate Route: Verify before applying
Application Status
Open — confirm with Eagle Link (Not confirmed)

Program information is subject to institution confirmation. Fees, deadlines, intakes and entry requirements may change.

Overview

The Artificial Intelligence and Machine Learning master’s degree prepares students for in-demand roles such as machine learning engineer, data scientist and AI developer, as well as careers in research. The course develops the skills required to design, build and deploy AI solutions that address global industry challenges across the rapidly evolving fields of artificial intelligence, data science and intelligent systems development. Students gain experience in programming for AI and data science, machine learning techniques and model evaluation. These skills are applied to real-world datasets using industry-standard software. The course also examines the ethical and societal implications of AI, supporting the development of responsible, robust and fit-for-purpose solutions. An industry placement or research year provides valuable professional or academic experience. It also gives international students the opportunity to study in the UK for two years rather than one, supported by a two-year international study visa route for the course. Key benefits of the course include the option to complete a placement or research year, enabling students to develop practical industry experience or advanced research skills. These opportunities can support progression into careers in industry or academia after graduation. Students have access to specialist facilities, including a Cisco-certified cybersecurity and communications laboratory, a usability laboratory and high-performance computing resources. Industry-standard software and technologies include Python, R, SAS and a range of machine learning libraries. Core areas of study include machine learning, deep learning, responsible AI, algorithmic bias, cybersecurity and data science. Teaching is delivered by staff with expertise in statistical machine learning, data science, artificial intelligence and applied research. The course places a strong emphasis on building practical AI and machine learning expertise through applications based on real industry scenarios. Students also benefit from links with employers and external partners across sectors including healthcare, finance and energy. The placement option provides a full year of work experience, helping students enhance their career prospects and deepen their knowledge of a specialist area. Assessment and feedback are provided throughout the year, encouraging reflection on the experience and supporting preparation for future careers.
Faculty / school
—
Field of study
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Credential
Master's Degree
Relationship
Available Through Eagle Link

Entry Requirements

Entry requirements will be confirmed by the institution or authorized partner before application.

English-language requirements

English-language requirements will be confirmed by the institution or authorized partner before application.

Fees & Costs

Tuition fee
GBP 18,792
Application fee
None listed
Deposit required
Not listed
Estimated other compulsory fees
Not listed — confirm with Eagle Link.

Institution fees are paid according to the institution's instructions. Any Eagle Link service fee is shown on an Eagle Link invoice before payment. See our Payments Policy.

Scholarships

No scholarship is currently listed for this program. Explore scholarships and funding.

Scholarships are competitive and may change, close or be withdrawn. Eagle Link does not guarantee that any student will receive a scholarship.

Intakes & Deadlines

Upcoming intakes
January 2027, January 2028, January 2029
Application deadline
12 December 2026
Application status
Confirm with Eagle Link
Intake availability
Not confirmed

Campus & Location

Moulsecoomb

Brighton, South East, United Kingdom

Mithras House, Lewes Road

Moulsecoomb campus, photo 1 Moulsecoomb campus, photo 2 Moulsecoomb campus, photo 3 Moulsecoomb campus, photo 4 Moulsecoomb campus, photo 5 Moulsecoomb campus, photo 6

Post-Study Work / Immigration Information

Please confirm current eligibility with Eagle Link before applying.

Graduate Route
Verify before applying

The Graduate Route applies after successful completion of an eligible course with a licensed student sponsor that has a track record of compliance. It is not guaranteed by attending a particular institution.

Official source

Eagle Link does not guarantee visa approval and does not make immigration decisions.

About the Institution

University of Brighton is a progressive, modern school in one of Britain's most exciting, lively cities. It is career-focused with excellent facilities and business connections and, at its heart, it is an inventive institution with a creative spirit. The university offers degrees in a variety of subjects and City campus is home to its arts and humanities students. Located in the cultural heart of Brighton, City campus has specialist facilities, studio space and the university's world-class Design Archives which all make for a highly inspiring environment where creativity thrives. A big part of...

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Program information last verified 8 October 2026.