Duration
Discipline
Level
Affiliation
Last Updated
The candidate must have completed +2 or A-Level from a recognized board.
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 |
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 |
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 |
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 |
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 |
Understand data science fundamentals
Analyze and interpret complex data
Apply machine learning techniques
Use programming tools like Python/R
Visualize data effectively
Solve real-world data problems
Work with big data technologies
Communicate data insights clearly
BSc (Hons) Data Science is a 4 year program by Keele University.
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