MSc Data Science and Statistics with Placement Year
Develop a strong foundation in the theory and practice of data science, and learn specialist skills in statistics.
Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the tools to become an industry expert with a strong mathematical foundation.
Who is this course for?
This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you general programming and machine learning development skills. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real-world data using more advanced analytical techniques.
Course highlights
- Work with a dedicated team of computer scientists and mathematicians who have a wealth of experience from their professional backgrounds.
- Learn strong statistical foundations of universal relevance as well as gaining expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data.
- Study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets.
- Be part of our supportive postgraduate community.
- Live and study in a beautiful world heritage city.
Project examples
The research expertise in the department allows for a wide-range of subjects for your final project at the end of the course. Recent examples from Data Science students include:
- Deep learning in high frequency financial trading
- Spatiotemporal timing predictions in areas with a low density of public transport
- Wastewater based epidemiology of COVID-19
Career prospects
After graduation you’ll be well placed to progress into a wide variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You'll also have acquired the essential foundation for further postgraduate study and research within related fields. Recent graduate roles include Data Scientist, Machine Learning Developer, Python Developer and Software Engineer.
Develop a strong foundation in the theory and practice of data science, and learn specialist skills in statistics.
Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the tools to become an industry expert with a strong mathematical foundation.
Who is this course for?
This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you general programming and machine learning development skills. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real-world data using more advanced analytical techniques.
Course highlights
- Work with a dedicated team of computer scientists and mathematicians who have a wealth of experience from their professional backgrounds.
- Learn strong statistical foundations of universal relevance as well as gaining expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data.
- Study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets.
- Be part of our supportive postgraduate community.
- Live and study in a beautiful world heritage city.
Project examples
The research expertise in the department allows for a wide-range of subjects for your final project at the end of the course. Recent examples from Data Science students include:
- Deep learning in high frequency financial trading
- Spatiotemporal timing predictions in areas with a low density of public transport
- Wastewater based epidemiology of COVID-19
Career prospects
After graduation you’ll be well placed to progress into a wide variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You'll also have acquired the essential foundation for further postgraduate study and research within related fields. Recent graduate roles include Data Scientist, Machine Learning Developer, Python Developer and Software Engineer.
