The BSc (Hons) Data Science at British International College (BIC) is a four-year undergraduate programme awarded by Keele University, UK. The programme combines data science with computer science and mathematics, with study in programming, statistics, databases, data visualisation, artificial intelligence, deep learning, and project work.
British International College is based in Chakupat, Lalitpur, and its academic delivery is connected with the wider British College group. Classes may take place at the Chakupat campus or at The British College campus in Trade Tower, Kathmandu.
The course is structured from a Foundation Programme through higher levels of data science study, giving students a gradual progression from computation and mathematics to specialist analytical and computing subjects.
| Area | Details |
|---|---|
| Course | BSc (Hons) Data Science |
| College | British International College (BIC) |
| Awarding University | Keele University, UK |
| Duration | 4 Years |
| Entry | Jan/Feb and Aug/Sept |
| Location | Chakupat, Lalitpur, with teaching also connected to Trade Tower, Kathmandu |
| Academic Areas | Data Science, Computer Science, Mathematics |
The programme is designed for students interested in applying computing and data science to theoretical and practical problems. It gives academic attention to data analysis, programming, software development, mathematics, statistics, and the use of computing methods for working with data.
Students begin with foundation-level computation, programming, mathematics, academic writing, and seminar skills before progressing into more specialised subjects.
The programme combines mathematical foundations with programming and applied data science. Its academic content includes:
Computer programming
Mathematical methods
Calculus and linear algebra
Statistics using R
Database systems
Data visualisation
Data science techniques
Probability
Computational and Artificial Intelligence
Applied Deep Learning
Data Science Projects for Employability
The course also includes professional practice and project-based study. This allows students to work with subject knowledge through coursework, programming tasks, analytical work, and projects rather than relying only on lectures.
The first year introduces students to computation, mathematics, programming, academic writing, and university study skills.
| Semester 1 | Semester 2 |
|---|---|
| Foundations of Computation Theory & Programming | Seminar Skills Development – 15 credits |
| Foundations of Mathematical Methods | Advancing Programming – 15 credits |
| Essay Writing for University Study | Advancing Mathematical Methods – 30 credits |
Year 2 develops core programming and mathematical knowledge while introducing professional practice in data science.
| Semester 1 | Semester 2 |
|---|---|
| Introduction to Programming | Linear Algebra |
| Limit, Series and Calculus | Differential Equations and Multivariable Calculus |
| Introductory Mathematics for Data Scientists | Statistics with Application in R |
| Professional Practices in Data Science – Year Long | Professional Practices in Data Science – Year Long |
The third year moves further into databases, visualisation, probability, artificial intelligence, deep learning, and data science project work.
Semester 1 includes:
Database System – 15 credits
Visualisation for Data Science – 15 credits
Data Science Techniques – 15 credits
Probability – 15 credits
Semester 2 includes:
Computational and Artificial Intelligence I
Applied Deep Learning
Data Science Projects for Employability
Students also choose one optional module from:
Software Engineering
Computer Graphics and Animation
Abstract Algebra
The BSc (Hons) Data Science programme is intended to develop knowledge and skills across data science, computer science, and mathematics.
Its stated objectives include:
Developing intellectual, practical, and transferable skills
Building an academic foundation in Data Science and relevant areas of Computer Science and Mathematics
Developing an understanding of professional issues connected with future work
Building subject knowledge alongside subject-specific skills
Developing transferable and employability-related abilities
Building experience and skills connected with careers commonly associated with the course
The programme does not specify particular subject requirements for entry. Previous experience in computing or computer programming is also not required.
Duration: 4 Years
Entry: Jan/Feb and Aug/Sept
This structure allows students without previous programming experience to begin with foundation-level study before moving into higher-level data science modules.
At BIC, the programme is supported by classroom teaching, library and study spaces, faculty interaction, group work, and project preparation.
Students are expected to combine taught classes with independent study and practical academic work. Programming, mathematical exercises, statistical analysis, coursework, and projects form part of the learning process.
The college's teaching arrangement is connected with both Chakupat, Lalitpur and Trade Tower, Kathmandu. This places the BSc (Hons) Data Science programme within the wider academic setup of British International College and The British College group.
The programme identifies several fields where data science knowledge may be relevant, including finance, healthcare, transport, business intelligence, and e-commerce.
Career areas associated with the degree include:
Academia
Data Analyst
Data Engineer
Data Scientist
Information Officer
Machine Learning Engineer
Statistician
The course also includes research, independent learning, and project work that may support further academic study.
The programme has a duration of four years.
The degree is awarded by Keele University, UK.
No previous experience in computing or computer programming is required for entry to the programme.
The course includes programming, mathematics, statistics, databases, data visualisation, probability, artificial intelligence, deep learning, and data science project work.
Yes. Level 3 is a Foundation Programme that introduces computation, programming, mathematical methods, academic writing, and seminar skills.
British International College is based in Chakupat, Lalitpur. Teaching is connected with the Chakupat campus and The British College campus at Trade Tower, Kathmandu.
