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Artificial Intelligence MSc (Distance Learning)

Artificial Intelligence MSc (Distance Learning)

Different course options

Study mode

Distance without attendance

Duration

3 years

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type

Taught

Course Summary

This course in Artificial Intelligence (AI) is designed to meet the demand for a new kind of IT specialist with skills and knowledge in intelligent systems.

Recent developments in machine learning and the success of high profile AI applications have resulted in governments globally promoting the area as a central component of future technologies in many application areas. This course will aim to develop your knowledge and understanding to an advanced level across a range of areas including:

* autonomous systems

* knowledge representation and reasoning

* data mining

* machine learning

* robotics

Graduates of this course will be equipped with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. You will be able to match applications with appropriate AI techniques for their solution, and be able to construct and configure solutions using a range of AI technologies.

The course aims to enhance the technical effectiveness of recent graduates to industry specifically in the area of artificial intelligence.

Modules

The Robotics module allows you to gain specialist knowledge in robotic devices and autonomous applications by examining the integration of mechanical devices, sensors and ?intelligent? computerised robotic agents. You will also explore the latest developments in robotics and intelligent systems through a series of investigative tasks and practical sessions. The module covers essential techniques for the design an development of robotic based systems using a collection of robotic hardware and simulation software. It supports the discussion and analysis of the hardware and software used to build real-world robotic systems. It introduces device and architectural specific topics required to enable students to design and develop software for intelligent autonomous robots. This will include low-level programming of I/O devices for robotic swarms, sensor systems and active modelling and simulation. It will introduce planning for intelligent robots taking a lifecycle approach from theory to activation.

Tuition fees

UK fees
Course fees for UK / EU students

£625 (Band 2) per 15 credit module and £1,250 (Band 2) per 30 credit module.

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

Please see our website for further information.

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Entry requirements for this course are normally:

* A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or scientific related subject or an equivalent professional qualification

* Applicants are expected to be familiar with and have some aptitude for Discrete Mathematics and Predicate Calculus

* Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level - the qualification and experience should be in the area of Computer Science or Mathematics/Engineering

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.5 overall with 6.0 in Writing and no element lower than 5.5, or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages