BSc (Hons) Data Science

The BSc (Hons) Data Science programme equips students with the skills to analyze complex data, develop predictive models, and make data-driven decisions.

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4 Years

Jan/Feb & Aug/Sept

Techie IT

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. 

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.

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
Level 3: Foundation Programme (Year 1)
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)
Semester 1
Introduction to Programming15 credits
Limit, Series and Calculus15 credits
Introductory Mathematics for Data Scientists15 credits
Professional Practices in Data Science (Year Long)30 credits
Semester 2
Linear Algebra15 credits
Differential Equations and Multivariable Calculus15 credits
Statistics with Application in R15 credits
Professional Practices in Data Science (Year Long)30 credits

 

Level 5: BIC-Keele Programme (Year 3)
Semester 1Credits
Database System15 credits
Visualisation for Data Science15 credits
Data Science Techniques15 credits
Probability15 credits
Semester 2 
Computational and Artificial Intelligence I15 credits
Applied Deep Learning15 credits
Data Science Projects for Employability15 credits
Optional Modules (Choose One)
Software Engineering15 credits
Computer Graphics and Animation15 credits
Abstract Algebra15 credits

 

 

Level 6: BIC-Keele Programme (Year 4)
Semester 1Credits
Machine Learning Applications15 credits
Data Science Project (Year-Long)30 credits
Optional Modules (Choose Two)
Cyber Security15 credits
Number Theory and Cryptography15 credits
Data Analysis and Modeling15 credits
Semester 2Credits
Data Ethics and Security15 credits
Data Science Project (Year-Long)30 credits
Optional Modules (Choose Two)
Advanced Databases and Applications15 credits
Communication and Networks15 credits
Computational and Artificial Intelligence II15 credits
Medical Statistics15 credits
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