Course summary
Do you wish to work in industry or plan to pursue further study? Are you interested in data science and its application to science and technology? If so, this course is for you. 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.
Modules
We’re planning to run these modules in the academic year 2023/24. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity. Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
- Dissertation (Data Science)
- Algorithmic Data Science
- Data Science Masters Research Proposal
- Data Science Research Methods
- Machine Learning
- Wider Topics in Data Science
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. For more information about our entry requirements and English language requirements, please visit our website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Please click on the course URL to see up-to-date fee information.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH