MSc Data Science (Applied Research)
Course Overview
This MSc in Data Science prepares students for a successful career as a data scientist or business analyst by providing a firm grounding in the core disciplines of data analytics and information processing. The program focuses on the practical application of skills in data acquisition, analysis, and knowledge extraction to solve real-world problems across various sectors. It emphasizes industrially linked teaching and projects to ensure graduates are ready to capture the full potential value from data in a commercial environment.
Key Program Highlights
- Industry-relevant curriculum focused on data acquisition, aggregation, and sophisticated analytical algorithms
- Practical, hands-on learning through industrially linked student projects and teaching materials
- Development of high-demand skills for sectors including IT, security, health, transport, and energy
- Strong emphasis on employability and work-related learning within a real commercial context
- Fosters valuable industry-academic collaborations and provides experience with real-world data challenges
Course Overview
This MSc in Data Science prepares students for a successful career as a data scientist or business analyst by providing a firm grounding in the core disciplines of data analytics and information processing. The program focuses on the practical application of skills in data acquisition, analysis, and knowledge extraction to solve real-world problems across various sectors. It emphasizes industrially linked teaching and projects to ensure graduates are ready to capture the full potential value from data in a commercial environment.
Key Program Highlights
- Industry-relevant curriculum focused on data acquisition, aggregation, and sophisticated analytical algorithms
- Practical, hands-on learning through industrially linked student projects and teaching materials
- Development of high-demand skills for sectors including IT, security, health, transport, and energy
- Strong emphasis on employability and work-related learning within a real commercial context
- Fosters valuable industry-academic collaborations and provides experience with real-world data challenges
