MSc Data Science and Analytics
Acquire a range of in-demand skills for extracting and handling ‘big data’ and develop your practical skills through exposure to real-world problems and datasets.
This course will equip students with a theoretical understanding and practical experience of applying methods drawn from data science and analytics. You will develop a range of in-demand skills for extracting and handling ‘big data’ and applying modelling tools to help businesses and government organisations make better decisions.
On completion of the course, you will be well placed to progress into a variety of roles in data-intensive industries or a related research career.
This one-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics, in partnership with the School of Mathematics. You will benefit from the shared knowledge and skills of both Schools. However, your degree will still be run by the School of Mathematics.
Acquire a range of in-demand skills for extracting and handling ‘big data’ and develop your practical skills through exposure to real-world problems and datasets.
This course will equip students with a theoretical understanding and practical experience of applying methods drawn from data science and analytics. You will develop a range of in-demand skills for extracting and handling ‘big data’ and applying modelling tools to help businesses and government organisations make better decisions.
On completion of the course, you will be well placed to progress into a variety of roles in data-intensive industries or a related research career.
This one-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics, in partnership with the School of Mathematics. You will benefit from the shared knowledge and skills of both Schools. However, your degree will still be run by the School of Mathematics.
Requirements
Modules
- Applied Machine Learning
- Computational Data Science
- Foundations of Operational Research and Analytics
- Foundations of Statistics and Data Science
- Dissertation
- Distributed and Cloud Computing
- Human Centric Computing
- Data Visualisation
- Databases and Modelling
- Statistics and Operational Research in Government
- Healthcare Modelling
- Stochastic Search and Optimisation
- Time Series
- Statistical Programming with R and Shiny
- Mathematical Methods for Data Mining