Artificial Intelligence

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.

The course also delves into designing algorithms to tackle complex problems and methods for structuring and leveraging knowledge within AI systems. Additionally, it emphasises developing the professional skills essential for a career in AI, including the ability to conduct research, evaluate emerging trends, and stay at the forefront of technological advancements.

A strong focus is placed on the responsible and ethical application of AI and data. This includes a dedicated focus on understanding the regulatory, ethical, and organisational considerations necessary for governing AI and data effectively.

The final stage of your studies will be devoted to an individual MSc project which brings together the concepts and skills you have learned to investigate, design and implement a solution to an AI problem.

Find out more

Learning Methods

You will be taught through a mixture of lectures, tutorials, labs, and external speakers, supported by the University’s virtual learning environment, Moodle, which provides access to a wide range of resources and support materials. For online students, teaching is delivered through Moodle using a combination of recorded lectures, practical exercises, live group discussions, dedicated support sessions, and self-study. 

How long is a Artificial Intelligence course?

The MSc Artificial Intelligence course can be successfully completed in 12-36 months.

Activity Summary

On Campus students

• Lectures – 20 students per group, 4 hours per week
• Practical class or workshop – 20 students per group, 8 hours per week
• Independent study – 10 hours per week

Online students

• Recorded online lectures – 4 hours per week
• Practical exercises with online support – 8 hours per week
• Independent study – 10 hours per week

Independent Study

A significant portion of this course is underpinned by independent learning, and you will be expected to be responsible for managing your coursework, reading and other learning activities appropriately.

Equipment Requirements

While on-campus students will have access to School facilities for practical work, all students are recommended to have access to their own device (laptop or desktop PC) capable of supporting their studies. This is particularly important for online students, for whom a suitable personal device is essential. An example specification might be:

• CPU – minimum 5Ghz  
• RAM – minimum 16GB RAM
• GPU – dedicated GPU, such as from the NVIDIA RTX or AMD Radeon RX series

Assessment

Typically students are assessed each stage:

Stage 1

• 1 portfolio
• 3 practical skills assessments

Stage 2

• 2 reports
• 2 practical skills assessments

Stage 3

• 1 portfolio
• 1 dissertation 

Feedback

We aim to provide you with feedback within 20 working days of hand-in for all written exams, coursework and practical exams.

Staff Delivering on this Course

Our staff members feature in the annual Support and Teaching Staff with Appreciation and Recognition (STAR) awards voted by the students and organised by RGU:Union.

Staff on this course are leading researchers in Artificial Intelligence, working at the cutting-edge of the field to develop practical solutions for real-world problems. 

Placements

Students may have the option to seek a short placement. However, permission to undertake a placement is at the discretion of the School and is not guaranteed.

For students who undertake a placement the course duration will be extended by the length of the placement.

Job Prospects

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

What is needed for MSc Artificial Intelligence?

• 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.

English Language Requirements

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.

We accept a variety of in-country and secure English language tests, find out more:

Please note, some courses may require a higher standard of English than stated in this page.

Contact admissions@rgu.ac.uk for further information.