Taught course

Artificial Intelligence

Institution
University of Aberdeen · School of Natural and Computing Sciences
Qualifications
MSc

Entry requirements

Our minimum entry requirement for this programme is a Computing Science degree at 2:2 (lower second class) UK Honours level (or an Honours degree from a non-UK institution which is judged by the University to be of equivalent worth).

Key subjects you must have covered: Java, C, C++, Algorithms problem-solving and Data Structures.

Applicants with a 2:2 or equivalent in Engineering (e.g. Electronic/Electrical Engineering) will be reviewed by the selectors for suitability on a case-by-case basis.

Months of entry

September

Course content

The University of Aberdeen has over 30 years’ experience, and a world-wide reputation in AI-related research, focusing on areas such as machine learning, data science, natural language generation, and multi-agent systems. Spin-out successes include ARRIA NLG, one of the world’s leading natural language generation companies.

This programme covers the theoretical underpinning of a wide variety of AI-related techniques including data and text mining, machine learning (deep learning), reasoning, natural language generation, knowledge representation, and distributed AI systems as well as the technology, techniques, tools, software and methodologies used to apply these underlying theories to real-world problems. Students also learn how to engineer and evaluate AI systems.

Our close industry links mean you will have opportunities to apply your skills through training and networking events and industrial placements organised through organisations such as the Data Lab, Intel AI Academy, IBM, Intelligent Plant, and Aberdeen City Council.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    36 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Enquiries
Email
study@abdn.ac.uk