48 monthsProgramme duration
23,500 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Mathematics
Degree
MMath
Study Level
Undergraduate
Study Mode
On Campus
- Specialise your skills in an integrated Masters year for a future as a researcher or quantitative scientist in diverse industries.
- Put theory into practice and apply mathematical algorithms for the analysis, interpretation and visualisation or large-data sets, using real-world data.
- Benefit from Sussex’s wide range of paid work experiences, from summer teaching and research, to outreach roles.
Machine learning and data science are all around us. The need for people who can collate and interpret complex data has never been greater. This integrated Masters course will give you the skills to solve data-intensive problems. It is particularly relevant if you are interested in a research career.
You’ll explore the relationships between mathematics, data and statistics and gain a thorough grounding in theories and techniques. You’ll apply mathematical algorithms for the analysis, interpretation and visualisation of large data-sets, using real-world data.
In your mathematics modules you’ll learn the theory that forms the basis of modern data science. You’ll put this theory into practice in your data science modules. All modules are based on the latest research. Our faculty are experts in this exciting field. Their research is having significant impact in areas such as:
- artificial intelligence
- infectious disease control.
You’ll develop analytical and modelling skills, using industry-standard software such as Python and R. During your fourth year you’ll gain further skills and apply them to an advanced research project.
By graduation you’ll have necessary skills to become a capable quantitative scientist. Career options include roles in:
- the financial services
- information and digital technology
- research.
You’ll be part of a close-knit, friendly department. Our lecturers take the time to get to know you. They operate an open-door policy, so you’ll always find support if you need it.
Programme overview
Main Subject
Mathematics
Degree
MMath
Study Level
Undergraduate
Study Mode
On Campus
- Specialise your skills in an integrated Masters year for a future as a researcher or quantitative scientist in diverse industries.
- Put theory into practice and apply mathematical algorithms for the analysis, interpretation and visualisation or large-data sets, using real-world data.
- Benefit from Sussex’s wide range of paid work experiences, from summer teaching and research, to outreach roles.
Machine learning and data science are all around us. The need for people who can collate and interpret complex data has never been greater. This integrated Masters course will give you the skills to solve data-intensive problems. It is particularly relevant if you are interested in a research career.
You’ll explore the relationships between mathematics, data and statistics and gain a thorough grounding in theories and techniques. You’ll apply mathematical algorithms for the analysis, interpretation and visualisation of large data-sets, using real-world data.
In your mathematics modules you’ll learn the theory that forms the basis of modern data science. You’ll put this theory into practice in your data science modules. All modules are based on the latest research. Our faculty are experts in this exciting field. Their research is having significant impact in areas such as:
- artificial intelligence
- infectious disease control.
You’ll develop analytical and modelling skills, using industry-standard software such as Python and R. During your fourth year you’ll gain further skills and apply them to an advanced research project.
By graduation you’ll have necessary skills to become a capable quantitative scientist. Career options include roles in:
- the financial services
- information and digital technology
- research.
You’ll be part of a close-knit, friendly department. Our lecturers take the time to get to know you. They operate an open-door policy, so you’ll always find support if you need it.
Admission Requirements
Tuition fees
Domestic
International
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