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 a 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, placing 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. As this trend is likely to increase in speed and impact, so too are the employment opportunities within the field.
| Level | Year | Semester | Module Type | Module Name | Credits |
| Level 3 | Year 1 | 1 | Core | Foundations of Computation Theory & Programming | 15 |
| Foundations of Mathematical Methods | 30 | ||||
| Essay writing for University Study | 15 | ||||
| 2 | Core | Seminar Skills Development | 15 | ||
| Advancing Programming | 15 | ||||
| Advancing Mathematical Methods | 30 | ||||
| Level 4 | Year 2 | 1 | Core | Programming I - Programming Fundamentals | 15 |
| Introduction to Data Science I | 15 | ||||
| Introduction to Statistics and Software | 15 | ||||
| Mathematical Techniques for Data Science | 30 | ||||
| 2 | Core | Communication, Confidence and Competence | 15 | ||
| Introduction to Data Science II | 15 | ||||
| Statistics | 15 | ||||
| Level 5 | Year 3 | 1 | Core | Programming II - Data Structures and Algorithms | 15 |
| Computational and Artificial Intelligence I | 15 | ||||
| Visualisation for Data Science | 15 | ||||
| Optional | Web Technologies | 15 | |||
| Probability | 15 | ||||
| Individual Study Topic in Computer Science | 15 | ||||
| 2 | Core | Database Systems | 15 | ||
| Applied Deep Learning | 15 | ||||
| Professional Mathematics and Data Science | 15 | ||||
| Optional | Advanced Programming Practices | 15 | |||
| Software Engineering | 15 | ||||
| Linear Statistical Models | 15 | ||||
| Operational Research | 15 | ||||
| Level 6 | Year 4 | 1 | Core | Machine Learning Applications | 15 |
| Data Mining | 15 | ||||
| Optional | Bioinformatics | 15 | |||
| Game Theory | 15 | ||||
| 2 | Core | Third Year Double Project - ISP | 30 | ||
| Computational and Artificial Intelligence II | 15 | ||||
| Data Ethics and Security | 15 | ||||
| Optional | Advanced Databases and Applications | 15 | |||
| Advanced Web Technologies | 15 | ||||
| Medical Statistics | 15 |