Mathematics with Data Science MMath 48 months Undergraduate Programme By University of Sussex |TopUniversities
Subject Ranking

# 451-500QS Subject Rankings

Programme Duration

48 monthsProgramme duration

Main Subject Area

MathematicsMain Subject Area

Programme overview

Main Subject

Mathematics

Degree

MMath

Study Level

Undergraduate

Study Mode

On Campus

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:

  • smart materials
  • 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.



Accreditation



This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications. Find out more

Programme overview

Main Subject

Mathematics

Degree

MMath

Study Level

Undergraduate

Study Mode

On Campus

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:

  • smart materials
  • 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.



Accreditation



This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications. Find out more

Admission Requirements

169+
26+
3+
6+
59+
1300+
34+
80+

4 Years
Sep

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