Bsc Hons Artificial Intelligence With A Year In Industry

at Liverpool Hope University

• The first two years cover fundamental topics like programming, algorithms, machine learning, data science, and mathematics. 
• The third year involves a year-long industry placement to gain practical experience. 
• In the final year, students delve into advanced AI areas such as natural language processing, robotics, and ethical AI. 
• They also complete an individual project focused on a specialised area of interest. 
• The course emphasises developing both technical expertise and essential skills like problem-solving and communication.

Course Modules

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

Important Dates

Prospective applicants should remain informed by routinely checking the university website for updates on application status. The website will specify when applications will reopen. Students must prepare their required documents in advance and refrain from delaying until the eleventh hour. Seeking support from UniScholars to initiate the application process can also prove beneficial.

• Completion of Standard XII with grades ranging from 75 to 85 per cent across all subjects. Additionally, possession of a diploma accredited by the State Board of Technical Education.
• Demonstrate your English language abilities through the IELTS exam. A minimum overall band score of 6 is required, focusing on achieving at least 6.0 in Reading and Writing, alongside a minimum of 5.5 in both the Listening and Speaking sections.

Liverpool Hope University charges between £ 13,000/Yr to £ 16,000/Yr as tuition fees for the BSc Hons Artificial Intelligence With A Year In Industry programme. Students should regularly check the university website to know if the programme fees might change.

Graduates are well-positioned for a variety of AI-related roles across multiple sectors. Potential career paths include AI engineering and developing and deploying intelligent systems and applications. They could work as data scientists, extracting insights from large datasets to inform decision-making.