To apply for this course you should have a first or strong second-class undergraduate degree or equivalent international equivalent. Your undergraduate degree may be in a programme that incorporates a strong element of both mathematics and computing such as mathematics, computer science, physics, chemistry, engineering or economics. Any such degree programme should have included some non-trivial element of programming instruction.
We will also consider other subjects, for example geography or biology, which might also meet the criteria depending on their specific mathematical and programming content.
We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.
Months of entry
Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields. This course will provide you with the tools to become an industry expert with a strong mathematical foundation.
You’ll learn strong statistical foundations of universal relevance as well as gain expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data. You’ll also study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets.
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 the foundation level statistical knowledge and general programming skills required of data scientists. 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.
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.
Fees and funding
Qualification and course duration
Course contact details
- +44 (0)1225 385115