12 monthsProgramme duration
23,500 GBPTuition Fee/year
01 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
From agriculture to astronomy, the rate at which we collect and process information is accelerating. Data Science helps us interrogate this information to solve problems. You’ll learn to create more effective systems and make the world a better place.
Get the tools and techniques you need to build, analyse and interpret large datasets common in academic science and industrial practice. By studying at Sussex, you’ll:
- gain hands-on experience with large-scale, real-world datasets, learning how to develop robust and effective solutions
- become experienced in Python and other cutting-edge computing and mathematical tools essential for data manipulation and analysis
- learn advanced techniques in machine learning to build predictive models and solve complex problems
- build key skills to engage with data in areas ranging from mathematics, computer science, physics and biology to medicine, geography, development studies and economics.
You’ll graduate with the skills and knowledge for a successful career in data-driven industries such as technology, finance and engineering. You could forge a career as a data scientist, machine learning engineer or data analyst, or decide to pursue further study.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
From agriculture to astronomy, the rate at which we collect and process information is accelerating. Data Science helps us interrogate this information to solve problems. You’ll learn to create more effective systems and make the world a better place.
Get the tools and techniques you need to build, analyse and interpret large datasets common in academic science and industrial practice. By studying at Sussex, you’ll:
- gain hands-on experience with large-scale, real-world datasets, learning how to develop robust and effective solutions
- become experienced in Python and other cutting-edge computing and mathematical tools essential for data manipulation and analysis
- learn advanced techniques in machine learning to build predictive models and solve complex problems
- build key skills to engage with data in areas ranging from mathematics, computer science, physics and biology to medicine, geography, development studies and economics.
You’ll graduate with the skills and knowledge for a successful career in data-driven industries such as technology, finance and engineering. You could forge a career as a data scientist, machine learning engineer or data analyst, or decide to pursue further study.
Admission Requirements
- Degree requirements: You should normally have an upper second-class (2.1) undergraduate honours degree or above.
- Subject-specific requirements: 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.
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
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