BSc (Hons) Data Science

APPLY NOW

Keele University

4 Years

Jan/Feb & Aug/Sept

The BSc (Hons) Data Science Degree delivered at The British International College in partnership with Keele University, UK has been designed for students with an interest in applying data science and computing to a wide range of theoretical and real-world problems. 

 

Data-driven computer systems are now vital to business, government, science, and society, and there is much demand for graduates with the professional understanding and practical skills to work within these fields. Throughout the course, students will learn how to harness software and hardware technologies to solve real-world data analytics problems and develop the data analysis systems of the future. 

 

The programme explores the theoretical underpinnings of the data science discipline and places an emphasis on practical data analytics, computer programming, and software development. Many of the recent advances in these areas can be attributed to developments in computing and data science, and as this trend is likely to increase in speed and impact, so are the employment opportunities within the field.

Programme Objectives 

  • Develop intellectual, practical and additional transferable skills.
  • Gain a sound academic grounding in the discipline of Data Science and relevant aspects of Computer Science and Mathematics. 
  • Develop an understanding of the professional issues relevant to your working life. 
  • Receive both subject knowledge and understanding, as well as subject-specific skills.
  • Learn behaviours and transferable skills - including employability skills.
  • Gain work experience, abilities and skills specifically related to careers typically followed after the course. 

BSc (Hons) Data Science – FAQs

Our Data Science programme from Keele University, UK, focuses on real-world data analytics problems with emphasis on practical programming, statistical analysis, and software development for modern data-driven organisations.

You can work in finance, healthcare, transport, business intelligence, e-commerce, government, science, and any organisation requiring data-driven decision making and advanced analytics capabilities.

You'll learn programming fundamentals, statistical software, machine learning, data visualisation, database systems, artificial intelligence, data mining techniques, and advanced analytics throughout the programme.

No, there are no specific subject requirements and no previous computing experience needed. The programme builds skills from foundational level through structured learning progression.

Our Keele University partnership ensures curriculum alignment with global standards, practical project work, and development of skills specifically demanded by data science employers.
University Ranking

Please get in touch for course-specific entry requirements. 

 

There are no specific subject requirements for entry onto the programme, and no previous experience in computing or computer programming is needed.

Entry Requirements

Enrol Data Science Course In Nepal

Our Data Science degree is great preparation for employment in related fields of finance, healthcare, transport, business intelligence and e-commerce, as well as further academic study. And your experience in research and self-directed learning will equip you with the abilities needed to respond to the latest developments in this fast-changing field in the years ahead. 

Specific careers related to this degree include (but are not limited to):

  • Academia
  • Data analyst
  • Data engineer
  • Data scientist
  • Information officer
  • Machine learning engineer
  • Statistician
After you Graduate
Level 3: Foundation Programme (Year 1) Subject to Validation
Semester 1
Foundations of Computation Theory & Programming15 credits
Foundations of Mathematical Methods30 credits
Essay writing for University Study15 credits
Semester 2
Seminar Skills Development15 credits
Advancing Programming15 credits
Advancing Mathematical Methods30 credits
Level 4: BIC- KEELE Programme (Year 2/L4)
Semester 1
Programming I - Programming Fundamentals15 credits
Introduction to Data Science I15 credits
Introduction to Statistics and Software15 credits
Mathematical Techniques for Data Science30 credits
Semester 2
Communication, Confidence and Competence15 credits
Introduction to Data Science II15 credits
Statistics15 credits

  

Level 5: BIC-Keele Programme (Year 3)
Semester 1Credits
Programming II - Data Structures and Algorithms15 credits
Computational and Artificial Intelligence I15 credits
Visualisation for Data Science15 credits
Semester 2 
Database Systems15 credits
Applied Deep Learning15 credits
Professional Mathematics and Data Science15 credits

 

Optional Modules 
Semester OneCredits
Web Technologies15 credits
Probability15 credits
Individual Study Topic in Computer Science15 credits
Semester Two 
Advanced Programming Practices15 credits
Software Engineering15 credits
Linear Statistical Models15 credits
Operational Research15 credits


 

Level 6: BIC-Keele Programme (Year 4)
Semester OneCredits
Machine Learning Applications15 credits
Data Mining15 credits
Semester TwoCredits
Third Year Double Project - ISP30 credits
Computational and Artificial Intelligence II15 credits
Data Ethics and Security 15 credits

 

Optional Modules 
Semester OneCredits
Bioinformatics15 credits
Game Theory15 credits
Semester Two 
Advanced Databases and Applications15 credits
Advanced Web Technologies15 credits
Medical Statistics15 credits
Course Structure
APPLY NOW
Call us now!
+977 (1) 5970003
University of the West of England Leeds Beckett University Keele University ACCA Cambridge University of London

© 2023 All rights reserved The British College
© 2023 All rights reserved The British College