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The BSc (Hons) Computer Science - Artificial Intelligence is a course run in partnership with the University of the West of England, UK, that provides students with the unique opportunity to earn a British degree right here in Nepal. This flexible, employer-focused programme in Computer Science uses modern teaching methods to guide students in the use of complex algorithms. Learners in the course will be taught how to explore big data and implement software on state-of-the-art platforms. Students will also have the chance to choose from suitably designed and selected modules that offer them the opportunity to specialise their knowledge in evolving fields such as Smart Devices. At the end of the course, graduates will have a solid understanding of the basic tools and concepts of modern AI and Data Analytics, and be ready to meet the worldwide skills shortage in this area, making them valuable candidates for both the domestic and international educational markets.

Programme Objectives 

  • Develop lifelong learning skills to contribute to your profession and society through both research and practice.
  • Become a competent software developer who can explore and make use of new technologies as they emerge
  • Apply Artificial Intelligence concepts and techniques to offer innovative solutions to problems or to enhance the efficiency and effectiveness of existing systems.
  • Be able to recognise security threats and their implications, plan actions, and design systems to manage them.
  • Be able to make a significant contribution as a member of a team in the development of computer-based systems, offering solutions in a range of application areas.
  • Respond to and act upon the ethical, legal, and professional implications that may occur in the workplace.
  • Be equipped to understand and respond to the changing needs of industry and society. 

Why BSc (Hons) Computer Science - Artificial Intelligence at The British College?

  • Leading-edge AI education with experienced faculty, with an advanced curriculum that spans machine learning, NLP, and robotics, preparing students for a dynamic industry
  • We emphasize practical learning with advanced labs for real-world application of AI theory
  • The industry connections offer students valuable internships and job prospects, giving them a competitive edge in the market
  • Through international partnerships, students explore Artificial Intelligence under the guidance of leading experts, fostering a truly global mindset.

ELIGIBILTY

To qualify for the foundation programme, you must have one of the following:

  • 10+2/CBSE or equivalent
  • 60% (GPA 2.4) or above aggregate score
  • A Level (minimum 3.5 credits with 3 full credits)*

*Any other qualification must be approved by the Programme Leader before being accepted.

Direct Entry

To be eligible for direct entry, you must meet the following criteria:

  • Pass TBC Foundation Programme OR,
  • Overall 75% & above with a minimum of 70% in English; or
  • 120 UCAS points with a Minimum of 96 points from 3 A Level subjects (Excluding General Studies) AND
  • 6.0 IELTS or equivalent (with no skill below 5.5)

Course Structure

Level 3/Year 0: TBC-UWE International Foundation Programme

Semester 1CreditsSemester 2Credits
Academic English & Effective Communication15Academic English and Effective Communication15
Mathematics for Computing15Internet Technologies15
Introduction to Programming15Fundamentals of Multimedia15
Computer Fundamentals and Network15Fundamentals of Data Science15

Level 4: TBC-UWE Programme (Year 1/L4)

Semester 1CreditsSemester 2Credits
Artificial Intelligence I15Principle of Programming30
Computer Systems Architecture15Web Development and Databases30
Foundations of Computing30  

Level 5: TBC-UWE Programme (Year 2/L5)

Semester 1CreditsSemester 2Credits
Advanced Algorithms15Machine Learning15
Advanced Software Development30Operating Systems15
Artificial Intelligence II15Systems Development Group Project30

Level 6: TBC-UWE Programme (Year 3/L6)

Semester 1CreditsSemester 2Credits
Advanced Databases15Cryptography15
Digital Systems Project15Entrepreneurial Skills15
Autonomous Agents and Multi-Agent Systems (Optional)15Digital System Project (Optional)30
Big Data Analytics (Optional)15Information System Dissertation (Optional)30
Mobile Applications (Optional)15  

 

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