University of Oxford campus

Engineering

MSc in Artificial Intelligence for Business at University of Oxford

University of Oxford, United Kingdom

Programme overview

A part-time master's combining Oxford's Department of Computer Science and Saïd Business School, teaching the principles and applications of AI in business environments. Modular teaching weeks allow study alongside a professional career.

Faculty: Mathematical, Physical and Life Sciences Division  |  Department: Department of Computer Science and Saïd Business School  |  Duration: 2-4 years part time  |  Intake: 10 October 2027  |  Study mode: part-time  |  Location: Oxford, England, United Kingdom

What you will study

Ten taught modules, each based on an intensive teaching week with a follow-on assignment, including at least four in machine learning and two in AI applications for business, with the remaining four chosen from the three part-time streams, plus a short project and dissertation in AI for Business (equivalent to two modules).

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Application information

Entry requirements

A first-class or upper second-class undergraduate degree in a related subject such as computer science, informatics or engineering, and/or at least two years' professional experience in software, security or data engineering; more extensive experience may compensate for lack of formal qualifications, and a strong relevant qualification may compensate for lack of experience. US degree holders normally need a minimum GPA of 3.5/4.0. No GRE or GMAT; publications not expected. Application: three referees (academic and/or professional), transcripts, CV and statement of purpose (max 500 words). Deadline for 2027-28 entry: 6 January 2027. English language (higher level): IELTS Academic 7.5 overall with at least 7.0 in each component; TOEFL iBT 110 overall (Listening 22, Reading 24, Speaking 25, Writing 24); C1 Advanced or C2 Proficiency 191 overall and 185 per component; Oxford Test of English Advanced 165 overall and 155 per component. Tests must be taken no more than two years before the course start.

Intake: 10 October 2027

Duration: 2-4 years part-time

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