Artificial Intelligence Bsc (Hons)

at Liverpool Hope University

• The programme covers foundational topics like mathematics, programming, and data structures in the first year. 
• In the second year, students delve into core AI concepts such as machine learning, neural networks, natural language processing, and computer vision. 
• Advanced AI techniques, applications, and emerging trends are explored in the third year. 
• Throughout the course, students also gain experience with AI tools, frameworks, and development environments. 
• The curriculum incorporates group projects and a final-year dissertation to allow for hands-on application of AI knowledge.

Course Modules

• Introduction to Programming
• Introduction to AI
• Algorithm Design
• Mathematics for AI

Important Dates

Applicants should stay informed by regularly checking the university website for updates on application status. The website will announce when applications will resume. It's important for students to have their necessary documents ready and avoid procrastinating until the last minute. Seeking assistance from UniScholars to begin the application process can also be helpful.

• Completion of Standard XII with grades ranging from 75 to 85 per cent across all subjects. 
• Additionally, possessing a Diploma from the State Board of Technical Education.
• To secure your spot in an undergraduate programme (UG), meeting the English language proficiency standards is essential. The IELTS exam is used for assessment, with a minimum overall band score of 6 required, along with a minimum individual score of 6.0 in Reading and Writing, and a minimum of 5.5 in both Listening and Speaking.

Liverpool Hope University charges between £ 13,000/Yr to £ 16,000/Yr as tuition fees for the Artificial Intelligence BSc (Hons) programme. It's a good idea for students to keep an eye on the university website to see if the fees for their programme might go up or down.

Graduates of the Artificial Intelligence BSc (Hons) programme at Liverpool Hope University are well-positioned for a variety of exciting career opportunities. They can pursue roles such as AI engineer, machine learning engineer, data scientist, computer vision engineer, or natural language processing specialist in various industries, including technology, finance, healthcare, manufacturing, and more.