Southampton Solent University

What you'll study

Teaching emphasises fundamental principles and practical techniques so you can design and develop AI and data‑science applications for real problems. Topics covered include AI and data‑science methods for analysing large datasets, machine learning and automation approaches used in applications such as diagnostics, speech recognition, robotics, autonomous systems, prediction models, chatbots and natural language processing. The course uses problem‑based approaches and offers an option to take a paid industry placement of up to six months after completing taught modules, or a paid research placement at the university for up to six weeks.

Entry requirements

Typical entry requirement is a 2:2 or higher undergraduate degree. Applicants from all academic disciplines can apply; prior technical knowledge is not required since this is a conversion programme.

Career prospects

The programme prepares you for roles that apply AI and data science in industry. Example career paths stated by the course include:

• Applied AI developer
• AI strategy manager
• Data analyst
• Data scientist
• Data mining engineer
• Machine learning engineer
• Business analyst
• Digital marketing analyst

Scholarships & funding angle (general)

The course page notes an alumni discount of up to 20% and states there is a placement option that can be paid. Students should contact the university admissions team for details about eligibility, scholarships, fees and any additional funding opportunities.