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 |