Our AI course equips graduates with advanced expertise in machine learning, computer vision, natural language processing, and AI ethics. Combining cutting-edge theory with practical application, the course develops critical thinking, research, and professional skills, preparing students to lead in the rapidly evolving AI industry.
You will study a range of important topics in Artificial Intelligence, providing you with an understanding of its uses and applications across a variety of real-world problem domains.
The course has a focus on computer vision, natural language processing, search and complexity, machine learning, reasoning, and ethical and governance issues related to AI.
All taught modules are aligned with the School’s research, meaning you will learn from leading experts working on cutting-edge AI solutions.
If you are considering a postgraduate study option starting in September 2025 or January 2026, then please be aware application deadlines are in place which may affect your first choice of start date or course selection.
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.
Modules
Modules and delivery order may change for operational purposes. The University regularly reviews its courses. Course content and structure may change over time. See our course and module disclaimer for more information.
Detailed module informationLearning Methods
You will be taught through the University's online virtual learning environment, Moodle, with a mixture of online recorded lectures, practical exercises, live group discussions, dedicated online 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
- Recorded online lectures - 4 hours per week
- Practical class or workshop - 30 students per group, 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 certain facilities will be provided by the School, it is expected that students on the course will have a device (laptop or desktop PC) that is capable of carrying out the work. 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.
Academic Support
The Inclusion Centre advises and supports students who disclose a sensory or mobility impairment, chronic medical condition, mental health issue, dyslexia and other specific learning differences. Applicants are encouraged to arrange a pre-entry visit to discuss any concerns and to view the facilities.
Online Learning & Support
All undergraduate and postgraduate students, whether you are learning on campus or by online learning, benefit from using our collaborative virtual learning environment, CampusMoodle. You will be provided with 24/7 online access to your learning material and resources, along with the ability to interact with your class members and tutors for discussion and support.
Study Skills Support
The Study Support Team provides training and support to all students in:
- Academic writing
- Study skills (note taking, exam techniques, time management, presentation)
- Maths and statistics
- English language
- Information technology support
Library Support
The Library offers support for your course, including the books, eBooks, and journals you will need. We also offer online reading lists for many modules, workshops and drop-ins on searching skills and referencing, and much more.
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.
International Students
International students who do not meet our direct entry requirements for this course can gain additional entry points through our International College at Robert Gordon University.
Academic Year 2025/2026
Full Time
- £13,280 for whole course
Part Time
- Year 1 - £4,980
- Year 2 - £4,980
- Year 3 - £3,320
Alumni Discount
Robert Gordon University is delighted to offer a 20% discount on course fees for all alumni who have graduated from RGU.
Student Funding
Postgraduate students will normally make their own arrangements for payment of fees. However, there are a limited number of SAAS funded places on certain postgraduate courses.
Scholarships and Financial Awards
You may qualify for a scholarship or financial award:
Disclaimer
For new intakes, course fees are reviewed and published annually for each mode of delivery. Tuition fees are fixed for the duration of a course at the rate confirmed in the offer letter. For further information:
Any questions?
Get in touch with our Student Admissions Service and we'll do our best to help.