This course provides extensive insights into the applications and implications of AI in the real world, from the technical to the ethical, this online MSc will prepare you for a challenging but exhilarating career in this emerging specialism.
Due to the ongoing impact of COVID-19, information about courses starting in the 22/23 academic year may be subject to change. We continue to improve your teaching and learning experience, so you gain skills and understanding which are valuable to you and sought after by employers.
Before you apply for a course, please check the website for the most recently published course detail. If you apply to the University of Bath, you will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.
We understand that you will want to know more about the shape of the academic year. We work hard and plan for different scenarios, to be able to welcome you to the University of Bath at the start of each semester.
Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.
The course lasts 2 years and 3 months. The course will start in September 2020 and there will be three starts a year moving forward.
The course is structured into four phases. Phase 1 involves the development of core principles of AI. Phase 2 introduces the application of these principles to different environments. Phase 3 offers two different pathways:
- General Pathway: the context of artificial intelligence
- Technical Pathway: more in-depth technical aspects Phase 4 is the dissertation phase.
The course is made up of 13 units, totalling 180 credits, concluding with a dissertation, as follows: 1. Principles of Programming for Artificial Intelligence 2. Mathematics for Artificial Intelligence 3. Foundations of Artificial Intelligence 4. Artificial Intelligence Systems Engineering 5. Introduction to NLP 6. Applications of Artificial Intelligence 7. Humans and Intelligent Machines 8. Further Artificial Intelligence General Pathway 9. Machine Learning 10. Artificial Intelligence as a Social and Political Practice 11. Robotics Technical Pathway 12. Foundations and Frontiers of Machine Learning 13. Reinforcement Learning 14. Robotics and Machine Vision 15. Research Seminar and Project Preparation 16. Dissertation
As well as being recognised as a higher academic qualification, a number of our degrees are also accredited by professional bodies in the United Kingdom. An accredited degree may entitle you to work in a specific profession within the UK, and abroad (where there are reciprocating arrangements with professional bodies in other countries).
The requirements to practise a profession vary from country to country. If you wish to practise your profession outside the United Kingdom, you are advised to confirm that the UK professional qualification you seek is valid in the country in which you are intending to work.