Robert Gordon University campus

Engineering

PgDip Artificial Intelligence at Robert Gordon University

Robert Gordon University, United Kingdom

Programme overview

PgDip is an exit award within the Artificial Intelligence course. Our AI course equips graduates with advanced expertise in machine learning, computer vision, natural language processing, and AI ethics. Combining cutting-edge theory with practical application, the course develops critical thinking, research, and professional skills, preparing students to lead in the rapidly evolving AI industry. You will study a range of important topics in Artificial Intelligence, providing you with an understanding of its uses and applications across a variety of real-world problem domains.

Faculty: School of Computing, Engineering and Technology  |  Location: Aberdeen, Scotland, United Kingdom

What you will study

The MSc Artificial Intelligence course is delivered through a mixture of technical and professional skills modules, designed to give you practical experience in building AI systems, as well as understanding of the overall AI landscape and the ethical and governance issues pertaining to its use. The curriculum offers comprehensive insights into advanced AI theories, tools, and technologies. You will explore sophisticated techniques in areas such as Machine Learning, along with methods for enabling systems to interpret and process both textual and visual information.

Career pathways

The demand for highly skilled AI workers is evident in the current job market. Graduates of the MSc Artificial Intelligence course could expect careers in a variety of industries, including: Machine Learning engineer, AI consultant in many industrial sectors, AI project manager, Computer vision engineer, AI security analyst.

Official programme page

Application information

Entry requirements

Applicants normally hold a 2:2 undergraduate honours degree or its equivalent in Mathematics, Statistics, Computing or any other analytical discipline. Applicants with a lower degree classification and / or relevant work experience will be considered on a case by case basis. Applicants whose first language is not English should have an IELTS of 6.0 overall, with no component lower than 5.5, or an equivalent.

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