Overview
The BSc (Hons) Data Science (*Subject to Validation) 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.
Key Facts
- Awarded by: Keele University, UK
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Duration: 4 Years
Future
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
Course:
KEELE Bachelor’s Degree Programme
Level 4: TBC- KEELE Programme (Year 1/L4) | |
Semester 1 | |
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 |
Semester 2 | |
Communication, Confidence and Competence | 15 credits |
Introduction to Data Science II | 15 credits |
Statistics | 15 credits |
Level 5 | |
Semester One | Credits |
Programming II - Data Structures and Algorithms | 15 credits |
Computational and Artificial Intelligence I | 15 credits |
Visualisation for Data Science | 15 credits |
Semester Two | |
Database Systems | 15 credits |
Applied Deep Learning | 15 credits |
Professional Mathematics and Data Science | 15 credits |
Optional Modules | |
Semester One | Credits |
Web Technologies | 15 credits |
Probability | 15 credits |
Individual Study Topic in Computer Science | 15 credits |
Semester Two | |
Advanced Programming Practices | 15 credits |
Software Engineering | 15 credits |
Linear Statistical Models | 15 credits |
Operational Research | 15 credits |
Level 6 | |
Semester One | Credits |
Machine Learning Applications | 15 credits |
Data Mining | 15 credits |
Semester Two | Credits |
Third Year Double Project - ISP | 30 credits |
Computational and Artificial Intelligence II | 15 credits |
Data Ethics and Security | 15 credits |
Optional Modules | |
Semester One | Credits |
Bioinformatics | 15 credits |
Game Theory | 15 credits |
Semester Two | |
Advanced Databases and Applications | 15 credits |
Advanced Web Technologies | 15 credits |
Medical Statistics | 15 credits |