Students
Tuition Fee
USD 14,640
Per course
Start Date
Not Available
Medium of studying
On campus
Duration
Not Available

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Details
Program Details
Degree
Bachelors
Major
Artificial Intelligence | Computer Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 14,640
About Program

Program Overview


About this course

This course will provide you with knowledge of the underlying principles of AI, machine learning, optimisation techniques and deep learning as well as practical experience of the tools and methods used for applied AI.

Academic experts with industry experience will introduce you to a broad range of subjects including Mobile Application Development, Software Development, Database Systems, AI and Machine Learning, DevOps and MLOps, and AI and Security.

You’ll gain an in-depth understanding of computing and AI and the ways in which computers work and algorithms are developed. You’ll explore some of the current engineering, industrial and commercial applications of AI and use contemporary research to help you identify gaps in the market and develop innovative solutions.

This degree makes extensive use of large cohorts of data (big data) and the application of AI, data science and computational and mathematical modelling. You’ll learn how to analyse data and provide data-driven insight and information for enhanced decision-making.

You’ll apply your knowledge through hands-on projects and assignments that emphasise the practical, real-world applications of AI. You’ll also complete professional work placements allowing you to gain invaluable, relevant experience.

You’ll graduate with the hard and soft skills needed for a career in computer science or AI, including communication, teamwork, problem-solving and digital literacy, alongside the necessary technical, practical programming skills.





Why study with us?

  • Develop highly desirable, transferable knowledge of computing and artificial intelligence.
  • Put theory into practice through employer projects, work placement opportunities and professional development relevant to computer science.
  • Increase your employability by developing key transferable skills for the workplace, including leadership and communication.
  • See More