The Artificial Intelligence degree at Oxford Brookes University is designed for students passionate about logical problem solving and eager to join a rapidly evolving industry. This program provides a strong foundation in both the practical and theoretical aspects of AI, preparing you to contribute to global AI developments. You will develop in-demand skills through a curriculum shaped by academic staff who are active researchers with strong industry connections. The university fosters a collaborative environment while also supporting individual growth, equipping graduates for successful careers in AI.
The program emphasizes a practical approach, combining lectures with hands-on sessions. You will engage in apprentice-style learning and exercises, with continuous assessment forming part of every module. Some modules include written examinations, typically weighted at 30%, 50%, or 70% of the final grade. Expect approximately 11 hours of face-to-face contact time per week, alongside a total workload of 1,200 hours per year, covering lectures, seminars, practicals, assessments, and academic advising.
Living cost estimates are based on a range for self-catered university halls and shared private housing. Utility bills are often included in hall fees but are additional for private accommodation. Students are advised to budget carefully and utilize student discounts.
Initial Accreditation by the British Computer Society (BCS)
Annual living costs are estimated between £12,274 and £16,264 for a 38-week academic year. This estimate includes accommodation, food, utilities, course materials, and leisure activities.
International student tuition fees for the Artificial Intelligence BSc (Hons) or MSci program are available on the university's official tuition fees page.
The programme is a Bachelor's degree, which typically takes 3 to 4 years of study to complete, depending on the specific course structure and any potential study abroad components.
Graduates are highly sought after in the rapidly growing AI industry. The programme prepares you for various roles in areas such as autonomous vehicles, deep learning, and robotics.
The programme emphasizes a practical approach with lectures, hands-on sessions, and exercises, featuring approximately 11 hours of face-to-face contact time per week. Assessment includes continuous evaluation and written examinations.
The curriculum is shaped by academic staff with strong industry connections, and students have opportunities for practical experience, such as joining student teams like an award-winning racing team.