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Artificial Intelligence MSc

Different course options

Study mode

Full time


12 months

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type


Course Summary


Broaden your expertise through the use of Artificial Intelligence (AI) techniques. Gain transferable skills in AI, and boost your employability with an optional 12-week placement.

In a world reliant on data to improve processes and monitor success, our Masters degree in Artificial Intelligence will help you gain the knowledge and skills to improve systems in your industry – or create better ones. It's been designed in response to the high demand for experts in data analysis and modelling.

Study at ARU in Cambridge and build on your existing skills. Our course is suitable for computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis. Before starting the course, we strongly recommended that you have basic programming knowledge of Python.

Throughout the course, we’ll use a range of assessment methods to measure your progress. You’ll complete exams, essays, research reports, oral presentations, and a dissertation on a subject of your choice.


Develop your skills in preparation to undertake independent research at the MSc level. In particular, you will develop skills to get you started and lay the essential foundations for your Masters Research Project. During the module you will hone your specific research interests whilst recognising time constraints and other practical considerations. These usually set, and limit, the topic, the research approach and study, and the selection of suitable methods. The module will cover: the scientific process, logical thinking and experimental design; critical evaluation of the literature; data analysis using the freely available statistical software R from different perspectives to tackle a range of experiments; and writing a research proposal for an MSc project.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

A first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject.

University information

Anglia Ruskin University (ARU) has a proud history dating back to 1858, when philanthropist John Ruskin opened the first campus as what was then the Cambridge School of Art. ARU has grown exponentially since then, with four campuses in the East Anglia region. These are in: Cambridge Chelmsford London Peterborough Now students can study a range of subjects at ARU at both undergraduate and postgraduate level, with flexible...more