Artificial Intelligence MSci

at Liverpool Hope University

• The first two years cover core topics like programming, algorithms, data structures, mathematics, machine learning, and data science.
•  In the third year, students delve into advanced AI areas such as natural language processing, computer vision, and robotics and gain research skills through individual projects. 
• The final fourth year allows for specialisation by choosing from cutting-edge elective modules in AI subfields like intelligent systems, neural networks, or reinforcement learning. 
• Students also complete a major research project or dissertation under expert supervision. 
• The programme emphasises hands-on application through lab work, projects, and potential industry placements.

Course Modules

• Introduction to Programming
• Introduction to AI
• Algorithm Design
• Mathematics for AI
• A taster of current and new developments

Important Dates

Prospective applicants should keep updated by regularly visiting the university website for application status. The website will announce when applications will recommence. It's essential for students to have their required documents prepared and avoid last-minute delays. Seeking assistance from UniScholars to kickstart the application process can also be advantageous.

• To qualify for admission to their Postgraduate degrees, candidates must hold a satisfactory undergraduate degree. 
• Specifically, applicants must have achieved at least a Second-Class Honours degree in an appropriate field from a UK university, or possess a comparable higher education credential.
• To qualify for postgraduate studies, applicants must possess strong English language skills. This is verified through an IELTS test, requiring an overall band score of at least 6.5 and a minimum of 6.0 in all four sub-skills: Reading, Writing, Listening, and Speaking.

Liverpool Hope University charges between £ 13,000/Yr to £ 16,000/Yr as tuition fees for the Artificial Intelligence MSci programme. Make sure to check the university website a lot so you don't miss any updates about your programme's fees.

Graduates are well-prepared for specialist roles in AI research, development, and leadership across various sectors. They could pursue careers as AI research scientists, developing cutting-edge algorithms and intelligent systems. Opportunities exist as machine learning engineers, building and deploying complex ML models and applications.