BSc (Hons) Data Science

BSc (Hons) Data Science

Bachelors
·
4 years
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Offering Colleges (1)

The BSc (Hons) Data Science Degree program is offered at The British International College in collaboration with Keele University in the UK and is intended for students interested in using data science and computing to solve a variety of theoretical and practical issues.

Data-driven computer systems are today essential to industry, government, research, and society, and graduates with the knowledge and skills necessary to work in these disciplines are in high demand. Students will gain knowledge of how to use hardware and software to address practical data analytics issues and create the data analysis systems of the future during the course.

The program examines the theoretical foundations of the field of data science and emphasizes software development, computer programming, and practical data analytics. Computing and data science advancements are largely responsible for the most recent gains in these fields, and as this trend is set to pick up speed and influence, so too will job prospects in the sector.

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.

Job Prospects

A degree in data science is excellent preparation for continued academic work as well as employment in industries like banking, healthcare, transportation, business intelligence, and e-commerce. Additionally, students' research and self-directed learning experiences will provide them the skills they need in the coming years to respond to the most recent advancements in this rapidly evolving profession.

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

Curricular Structure

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

First Semester

 

Programming I - Programming Fundamentals 15 credits
Introduction to Data Science I 15 credits
Introduction to Statistics and Software 15 credits
Mathematical Techniques for Data Science 30 credits

Second Semester

Communication, Confidence, and Competence 15 credits
Introduction to Data Science II 15 credits
Statistics 15 credits

Level 5

First Semester

Programming II - Data Structures and Algorithms 15 credits
Computational and Artificial Intelligence I 15 credits
Visualisation for Data Science 15 credits

Second Semester

Database Systems 15 credits
Applied Deep Learning 15 credits
Professional Mathematics and Data Science 15 credits

Optional Modules

First Semester

Web Technologies 15 credits
Probability 15 credits
Individual Study Topic in Computer Science 15 credits

Second Semester

Advanced Programming Practices 15 credits
Software Engineering 15 credits
Linear Statistical Models 15 credits
Operational Research 15 credits

Level 6

First Semester

Machine Learning Applications 15 credits
Data Mining 15 credits

Second Semester

Third Year Double Project - ISP 30 credits
Computational and Artificial Intelligence II 15 credits
Data Ethics and Security 15 credits

Optional Modules

First Semester

Bioinformatics 15 credits
Game Theory 15 credits

Second Semester

Advanced Databases and Applications 15 credits
Advanced Web Technologies 15 credits
Medical Statistics 15 credits