Queen's University Belfast campus

Engineering

PgCert Artificial Intelligence at Queen's University Belfast

Queen's University Belfast, United Kingdom

Programme overview

One-year part-time postgraduate certificate covering the mathematical foundations of AI, machine learning and computer vision through three 20-credit modules (60 CATS points) taken from the MSc Artificial Intelligence. It offers a flexible route to the Postgraduate Diploma and then the full MSc by completing the research project.

Department: School of Electronics, Electrical Engineering and Computer Science  |  Duration: 1 year part-time  |  Intake: Academic Year 2027/28  |  Study mode: part-time  |  Location: Belfast, Northern Ireland, United Kingdom

What you will study

Three core modules: Foundations of AI, Computer Vision and Machine Learning (20 credits each). On-campus teaching is normally one to two days a week, supported by online resources.

Career pathways

Builds core AI skills for graduates and professionals working alongside their studies; credits count towards the PgDip and MSc Artificial Intelligence.

Official programme page

Application information

Entry requirements

Normally a 2:2 Honours degree or equivalent in Computer Science, Software Engineering, Electrical and/or Electronic Engineering, Mathematics with Computer Science, Physics with Computer Science, or a related discipline. A strong foundation in mathematics and computing/programming is essential. Applicants without these may be considered with evidence of recent relevant technical experience in industry, for example programming. A deposit is required. International applicants: IELTS 6.0 with no component below 5.5 (taken within the last 2 years), or equivalent.

Domestic applicants: GBP 3,083 a year (2027/28). Northern Ireland and Republic of Ireland rate. Annual fee for the part-time year. Source

International applicants: GBP 9,667 a year (2027/28). International and EU Other rate. Annual fee for the part-time year. Source

Intake: September 2027

Duration: 1 year part-time

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