BSc (Hons) Computer Science - Artificial Intelligence

BSc (Hons) Computer Science - Artificial Intelligence at The British College, Kathmandu

The BSc (Hons) Computer Science - Artificial Intelligence at The British College, Kathmandu is a three-year undergraduate programme awarded by the University of the West of England. Offered at The British College (TBC), Thapathali, Kathmandu, the course combines computer science study with artificial intelligence, data analytics, programming, and systems work.

The published structure includes core modules in the first two years and optional choices in the final year. Within TBC, students study in a setting that includes computing labs, the Academic Success Centre, the Wellbeing Unit, guest lectures, placements, and a yearly job fair. The course is listed in onsite mode, with intake periods in Jan/Feb and Aug/Sept.

Highlights

• Awarding institution: University of the West of England

• Course duration: 3 years

• Entry periods: Jan/Feb and Aug/Sept

• Study mode: Onsite

• Offered at The British College (TBC), Thapathali, Kathmandu

• Level 4 modules include Artificial Intelligence I, Principle of Programming, Computer Systems Architecture, Web Development and Databases, and Foundations of Computing

• Level 5 modules include Advanced Algorithms, Machine Learning, Advanced Software Development, Operating Systems, Artificial Intelligence II, and Systems Development Group Project

• Level 6 includes Advanced Databases, Cryptography, Digital Systems Project, Entrepreneurial Skills, and final-year optional modules

• Final-year options include Autonomous Agents and Multi-Agent Systems, Big Data Analytics, Information System Dissertation, and Mobile Applications

• Students must choose one 30 credit optional module in Year 3 Semester 2

• The course is linked to TBC’s wider academic environment, including labs, academic support, wellbeing support, placements, and employer-facing events

Overview with Introduction

This course is built around computer science with a defined artificial intelligence pathway. Its academic direction combines software development, systems study, algorithms, databases, and AI-focused modules with data analytics and later optional specialization. The course description also places emphasis on understanding the tools and concepts used in AI and data analytics.

At TBC, the programme is delivered within the School of Computing and sits alongside college-wide academic services and student support. Students study in a college environment with computer laboratories, an Academic Success Centre for assignment and research support, and a Wellbeing Unit for counselling and related services. The wider setting also includes guest lectures, internships, placements, and an annual job fair.

Curriculum Details

The programme follows a three-year structure across Level 4, Level 5, and Level 6. The published module map shows a progression from computing foundations to AI-related study and final-year optional choices.

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

  • Artificial Intelligence I — 15 credits

  • Principle of Programming — 30 credits

  • Computer Systems Architecture — 15 credits

  • Web Development and Databases — 30 credits

  • Foundations of Computing — 30 credits

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

  • Advanced Algorithms — 15 credits

  • Machine Learning — 15 credits

  • Advanced Software Development — 30 credits

  • Operating Systems — 15 credits

  • Artificial Intelligence II — 15 credits

  • Systems Development Group Project — 30 credits

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

  • Advanced Databases — 15 credits

  • Cryptography — 15 credits

  • Digital Systems Project — 15 credits

  • Entrepreneurial Skills — 15 credits

  • Autonomous Agents and Multi-Agent Systems (Optional) — 15 credits

  • Digital System Project (Optional) — 30 credits

  • Big Data Analytics (Optional) — 15 credits

  • Information System Dissertation (Optional) — 30 credits

  • Mobile Applications (Optional) — 15 credits

• Students must choose one 30 credit optional module in Year 3 Semester 2

Objectives

• Develop lifelong learning skills through research and practice

• Become a software developer who can work with new technologies as they emerge

• Apply artificial intelligence concepts and techniques to solve problems or improve existing systems

• Recognise security threats and their implications, and plan systems to manage them

• Contribute as a member of a team in the development of computer-based systems

• Respond to ethical, legal, and professional issues that arise in the workplace

• Understand and respond to changes in industry and society

Scope

The course covers computer science and artificial intelligence together rather than treating AI as an isolated topic. Its scope includes programming, systems architecture, operating systems, databases, algorithms, software development, data analytics, and project work. The final-year optional structure also allows students to move toward dissertation work, mobile applications, or other AI-related and systems-based study areas.

Within TBC, the scope of the programme extends beyond the classroom. Students study in a college that hosts placements, internships, guest lectures, clubs, and job-fair activity. That wider setting gives this course a more specific institutional context than a standalone subject outline.

Learning Outcomes

• Build a working understanding of core computer science and artificial intelligence concepts

• Develop knowledge of data handling and computational problem-solving

• Study the use of algorithms in computing work

• Build software development capability across multiple stages of the course

• Apply subject knowledge through group project work and final-year choices

• Understand security-related issues and their effect on system design

• Work with ethical, legal, and professional considerations in computing

Skill Development

• Programming

• Software development

• Database work

• Systems analysis

• Algorithm-based problem-solving

• Data handling

• Group project work

• Technical writing

• Research skills

• Presentation and communication

• Security awareness in system design

Teaching Methodology

The course description presents the programme as a structured computer science degree that uses current teaching methods and module-based progression. The published structure also shows a mix of theory, systems work, programming, and project activity across the three years.

• Module-based study across Level 4, Level 5, and Level 6

• Programming-focused learning

• Group project work through Systems Development Group Project

• Optional specialization in the final year

• Access to computing laboratories and specialist tech labs at the college

• Academic support through the Academic Success Centre for assignments, references, presentations, proposals, dissertations, and research skills

Facilities and Student Support

Students on this programme study within TBC’s wider computing and support environment. The college has three computer laboratories with around 100 computers, an Open Access Lab with 34 systems, and a Forensics and Security Lab with dedicated workstations, multiple operating systems, isolated network layers, and a dedicated server. These facilities support computing-related study across the college.

The Academic Success Centre provides one-to-one guidance and peer-assisted learning for written assignments, presentations, citations, proposals, dissertations, and research skills. The Wellbeing Unit offers counselling, group sessions, workshops, and related wellbeing support. These services are relevant to students on the AI course as part of the overall college setting.

Career Opportunities

• Machine Learning Engineer

• Natural Language Processing Specialist

• AI Consultant

• Robotics Engineer

• Game AI Developer

• Postgraduate study in a related subject area

Scholarships and Financial Aid

• Bachelor’s admission scholarship in Foundation Year:

  • 15% scholarship in first-semester college tuition fees only for 60%–70% in +2/CBSE/ISCE

  • 25% scholarship in first-semester college tuition fees only for 70%–79% in +2/CBSE/ISCE

  • 35% scholarship in first-semester college tuition fees only for 80%–89% in +2/CBSE/ISCE

  • 50% scholarship in first-year college tuition fees only for over 90% in +2/CBSE/ISCE

• Direct entry: 20% scholarship in first-semester tuition fees only

• Outside Valley: 20% scholarship in first-semester tuition fees

• Performance-based scholarship for current students:

  • 1st position in class: 100% off following semester tuition fees only, excluding exam and registration fees

  • 2nd position in class: 50% off following semester tuition fees only, excluding exam and registration fees

  • 3rd position in class: 25% off following semester tuition fees only, excluding exam and registration fees

Admission Process

• Applicants for the foundation route should have one of the following:

  • 10+2/CBSE or equivalent

  • 60% (GPA 2.4) or above aggregate score

  • A Level with a minimum of 3.5 credits and 3 full credits

• Other qualifications require approval by the Programme Leader before acceptance

• Applicants for direct entry should meet one of the following:

  • Pass TBC Foundation Programme

  • Overall 75% and above with a minimum of 70% in English

  • 120 UCAS points with a minimum of 96 points from 3 A Level subjects, excluding General Studies

  • 6.0 IELTS or equivalent, with no skill below 5.5

• International applicants can apply online or submit an application form to the Admissions Department

• Applications are reviewed by the college and forwarded for university screening where required

• Successful applicants receive an offer letter

• After payment, the college issues an acceptance letter and completes registration

Required Documents

• Completed application form

• Recent digital photograph

• Valid passport for international applicants

• Passport copies, including the latest visa page copy where applicable

• Admission letter from the academic institution for visa-related processing

• Evidence of sufficient study funds for visa-related processing where applicable

Conclusion

BSc (Hons) Computer Science - Artificial Intelligence at The British College, Kathmandu combines a UWE award, a three-year structure, and a module map that moves from computing fundamentals to more focused AI-related study. The course is shaped by programming, software development, systems work, project activity, and final-year options.

For students comparing AI-related undergraduate study in Kathmandu, the course is most clearly defined by its UWE partnership, its Level 4 to Level 6 structure, and the wider TBC setting of labs, academic support, student services, placements, and employer-facing events.

FAQ

Who awards the BSc (Hons) Computer Science - Artificial Intelligence programme at TBC?

The programme is awarded by the University of the West of England.

How long is the course, and when are the intake periods?

The duration is 3 years, and the listed entry periods are Jan/Feb and Aug/Sept.

Is the course taught on campus?

Yes. The available programme information lists the course mode as onsite.

What kind of modules are included in the course?

The published structure includes modules such as Artificial Intelligence I, Principle of Programming, Advanced Algorithms, Machine Learning, Advanced Software Development, Operating Systems, Advanced Databases, Cryptography, and Entrepreneurial Skills, along with final-year optional modules.

Can students specialize in the final year?

Yes. The Level 6 structure includes optional modules such as Autonomous Agents and Multi-Agent Systems, Digital System Project, Big Data Analytics, Information System Dissertation, and Mobile Applications. The published note states that students must choose one 30 credit optional module in Year 3 Semester 2.

What support is available to students outside regular classes?

Students can use the Academic Success Centre for help with assignments, presentations, references, and research skills. The college also has a Wellbeing Unit for counselling and related support.

What career paths are named for graduates of this course?

The named roles are Machine Learning Engineer, Natural Language Processing Specialist, AI Consultant, Robotics Engineer, and Game AI Developer.