Data Science MSc
Develop skills in machine learning, statistics and software technology for a solid grounding in the theory and application of data science.
This course is ideal for students looking to develop a broad understanding of data science and its applications across a wide range of industries - from scientific research to commercial data analysis. It has a focus on practical machine learning and is suitable for students with undergraduate degrees in scientific disciplines with a significant mathematical component, but limited experience of machine learning and data science.
After graduating, you'll be well-placed for a variety of careers in data science - from large-scale commercial enterprises to innovative tech start-ups.
Data Science and Statistics MSc
Develop skills in statistical modelling, machine learning and software technology. You'll gain a solid grounding in the theory and application of data science with an emphasis on statistical approaches.
Similar to our Data Science course, our Data Science and Statistics MSc is ideal for students looking to develop a broad understanding of statistics, statistical learning and data science applicable across a wide range of industries from scientific research to commercial data analysis. This course however, has a focus on applied statistics and is suitable for students with undergraduate degrees in scientific disciplines with a significant mathematical component but limited experience in statistics and data science.
Recent graduate roles include data scientist, machine learning developer, Python developer and software engineer.
- Data Science and Statistics MSc – 2 years with professional placement
- Data Science and Statistics MSc – 1 year
Data Science and Statistics (Health) MSc
Learn fundamental skills in statistical modelling, machine learning and software technology. This course will give you a solid grounding in the theory of data science with an emphasis on the interpretation and evaluation of medical and healthcare data.
This course is ideal for students looking to use data science within the medical and healthcare industry and is best suited to those with undergraduate degrees in scientific disciplines with a significant mathematical component, but limited experience in statistics and data science.
On graduating, you’ll be well-equipped for a range of specialist data science and statistics careers in healthcare. Recent roles for graduates from the department include health data scientist, biostatistician and machine learning engineer.
- Data Science and Statistics (Health) MSc – 2 years with professional placement
- Data Science and Statistics (Health) MSc – 1 year
Mathematics with Data Science for Industry MSc
Learn key skills in statistics, machine learning, mathematical modelling and collaborative problem solving, and gain practical experience applying these techniques to problems in a wide range of industries.
This course is ideal for students looking to develop and apply mathematical, statistical and computational skills to tackle complex, real-world problems. It's best suited to students with undergraduate degrees in highly mathematical disciplines.
Mathematics and data are fundamental to modern science and many industries are looking for graduates who can work across these fields. You'll also have acquired the essential foundation for further postgraduate study and research within related fields.
- Mathematics with Data Science for Industry MSc – 2 years with professional placement
- Mathematics with Data Science for Industry MSc – 1 year
Financial Mathematics with Data Science MSc
Understand financial modelling, data analysis, machine learning and software technology for a solid grounding in modern financial mathematics.
Financial Mathematics with Data Science is ideal for students looking to develop a sound understanding of classical and contemporary mathematical and computational methods used in the finance industry. It's suited to students with undergraduate degrees in scientific disciplines with a significant mathematical component, but limited experience of financial mathematics.
On graduating, you'll have a broad range of skills and knowledge relevant to a career in traditional and modern financial sectors. Recent graduates from the department are in finance roles including foreign exchange trading, credit risk and fund management, ranging from start-up FinTech companies to multi-national, big-name banks and insurers.
