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Artificial Intelligence MSc (18 Months)

Artificial Intelligence MSc (18 Months)

Different course options

Study mode

Full time


18 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.


Deep learning and neural networks have revolutionised numerous fields in recent years. From smartphones and smart watches to cars and even house appliances, electronic devices are increasingly making use of machine learning and neural computing to take decisions, categorise and classify items, learn behaviours, assist us with choices and make prediction. The near future will see an even larger number of ?self-learning? devices in almost every aspect of our lives. This module explores two main areas of Intelligent Systems: neural networks and deep learning. You will start analysing the structure of neural networks, from the theoretical aspects to the practical implementations, both biological and artificial. You will then move to the concept of supervised and unsupervised learning and analyse some of the most widely used deep learning methodologies. You will cover some of the main models and algorithms for regression, classification, clustering and decision making processes. The module will include applications of neural computing and deep learning to big data in physical and biological sciences, finance and social sciences. You will use primarily the Python programming language and requires familiarity with basic linear algebra, probability theory, and programming in Python.

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