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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.
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You should have a Bachelor's honours degree or international equivalent, typically a 2:2 or above.
To apply for this course you should have an undergraduate 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.
If your first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English language requirements.
Apply for partial scholarships
Year 1
Semester 1
- Analytic software technologies
- Applied artificial intelligence
- Foundational machine learning
- Reinforcement learning 1
- Understanding deep learning
Semester 2
- Applied artificial intelligence
- Classical artificial intelligence
- Foundational machine learning
- Research and development project skills
Optional units
- Bayesian data science
- Computer vision
- Entrepreneurship
- Humans and intelligent machines
- Natural language processing
- Reinforcement learning 2
Year 2
Semester 1
- Professional placement
Semester 2
- Professional placement
Summer
- Specialist project
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