5Feb
PostgraduateCourse summary
Prepare for a career in artificial intelligence with specialist skills and knowledge in classical AI, probabilistic reasoning and machine learning. Originating in the 1950s, recent years have seen the widespread adoption of artificial intelligence (AI) technologies. Alongside global applications in healthcare, transport, and public services, it’s also working behind the scenes to power our everyday interactions, like tailoring shopping recommendations, helping save energy in homes, and editing smartphone photos with ease. This course provides you with a foundational knowledge of the principles of AI, as well as proficiency in programming languages and software tools for AI development. You will also gain an understanding of the legal, ethical, social and professional implications of AI. The practical knowledge and skills developed will enable you to apply AI techniques to solve real-world problems in a variety of fields, including healthcare, finance, cybersecurity and manufacturing and industry. Due to the interdisciplinary nature of this course and to ensure you’re well-prepared to excel in advanced AI studies and research, you will need a good first degree in a numerate subject, such as computer science, mathematics, physics, economics, engineering, or relevant social sciences. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a good foundation in programming. Course highlights
- Study at a top 10 ranking university on a course developed in consultation with industry experts to ensure you graduate with the skills to be an innovative, ethical, and responsible AI specialist.
- Develop teamwork skills working in multidisciplinary teams on AI projects, leveraging the strengths of team members with diverse expertise.
- Have the opportunity to design and conduct a piece of research into a specific area of artificial intelligence.
- Be part of our supportive postgraduate community.
- Live and study in a beautiful world heritage city.
Modules
Please check the University of Bath website for the most recently published course detail.
Entry requirements
You should have a first or strong second-class Bachelor’s honours degree or international equivalent. To apply for this course you should have an undergraduate degree a numerate subject, such as computer science, mathematics, physics, economics, engineering, or relevant social sciences. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a good foundation in programming. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. **Before you apply, please check the University of Bath website for the most recently published entry requirements.**
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For the most up-to-date information on tuition fees, please visit: http://www.bath.ac.uk/topics/tuition-fees/
Provider information
University of Bath
Claverton Down
Bath
BA2 7AY