BSc (Hons) Data Science with Placement Year
Course Overview
This BSc Data Science program equips students with a robust foundation in mathematical and statistical theory, combined with extensive hands-on, practical experience to solve real-world problems. The curriculum is uniquely enriched by the university's cutting-edge research and offers opportunities to engage with the broader scientific community. It is designed to foster independent, critical thinkers who are confident and career-ready.
Key Program Highlights
- Strong emphasis on hands-on learning through dedicated Data Science Laboratory modules
- Curriculum informed by world-leading research in areas like neuromorphic computing
- Opportunity to attend research seminars in Astrophysics, Computer Science, and Physics
- Focus on developing professional-standard technical capabilities and analytical thinking
- Access to 24/7 Learning Resources Centres and a vibrant, multi-disciplinary campus environment
Course Overview
This BSc Data Science program equips students with a robust foundation in mathematical and statistical theory, combined with extensive hands-on, practical experience to solve real-world problems. The curriculum is uniquely enriched by the university's cutting-edge research and offers opportunities to engage with the broader scientific community. It is designed to foster independent, critical thinkers who are confident and career-ready.
Key Program Highlights
- Strong emphasis on hands-on learning through dedicated Data Science Laboratory modules
- Curriculum informed by world-leading research in areas like neuromorphic computing
- Opportunity to attend research seminars in Astrophysics, Computer Science, and Physics
- Focus on developing professional-standard technical capabilities and analytical thinking
- Access to 24/7 Learning Resources Centres and a vibrant, multi-disciplinary campus environment
Requirements
Modules
- Mathematical Methods
- Probability and Statistics
- Linear Algebra
- Computational Modelling
- Principles of Data Science
- IT Literacy and Core Skills
- Data Science Laboratory 1
- Data Science Small Group Tutorial 1
- Principles of Data Presentation
- Statistical Modelling
- Career Planning and Development
- Information Theory
- Big Data and High-Performance Computing
- Blockchains and Cryptocurrencies
- Data Science Laboratory 2
- Introduction to Machine Learning and Neural Networks
- Data Science Small Group Tutorial 2
- Programming
- Professional Teaching Skills
- Investment Portfolios
- Financial Markets
- Numerical Methods
- Game Theory
- Linear Modelling
- Multivariate Statistics
- Data Science Project
- Next Generation Data Science
- Computer Vision and Natural Language Processing
- Advanced Machine Learning and and Neural Networks
- Placement Year
