Data Science (with an industrial placement year)
Entry requirements
You should normally have an upper second-class (2.1) undergraduate honours degree or above.
Your qualification should be in physics, engineering, science, computing, mathematics or life sciences. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.
Months of entry
September
Course content
On this MSc, you’ll learn about the theory and practice of state-of-the-art data science with applications ranging from mathematics to physics, and from biology to computer science. You’ll develop the skills to provide and use appropriate and up-to-date tools to deal with large datasets common in industrial practice and academic science.
You’ll learn in an intellectually stimulating environment and develop your research skills. Your MSc dissertation, supported by one of our expert faculty, gives you the opportunity to explore in depth an area of your choice.You can choose to focus your studies on one of these four streams:
- Mathematics
- Physics
- Computer Science
- Life Sciences.
To help you gain experience and increase your employability, you can apply for an optional placement as part of your course. You’ll be responsible for applying for and securing your placement. Our dedicated careers team can help you:
- find an employer
- draft an application
- prepare for interviews.
Don’t worry if you’re not successful, you’ll simply transfer to a non-placement version of your course.
Qualification, course duration and attendance options
- MSc
- full time24 months
- Campus-based learningis available for this qualification
- part time36 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Course enquiries
- mps@sussex.ac.uk