MSc Mathematics and Data Science 12 months Postgraduate Programme By University of Stirling |TopUniversities
Programme Duration

12 monthsProgramme duration

Main Subject Area

MathematicsMain Subject Area

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Our Masters degree in Mathematics and Data Science emphasises the practical application of mathematics for data science. You’ll develop skills that are highly sought after in the data industry.
On our Mathematics and Data Science MSc, you get the opportunity to work with academics on  commercially relevant research projects. You can also take part in projects with industry or technology providers. You'll gain hands on industry standard skills and knowledge from lecturers with research expertise in mathematical modelling, data science and AI. The course covers:
  • statistical analysis of large datasets and data in network form, e.g. social media networks;
  • basic and advanced programming using R, Matlab and Python;
  • building and analysing mathematical models of real-life systems;
  • probability, stochastic optimisation and artificial intelligence;
  • data analytics and machine learning;
  • relational and non-relational databases;
  • cluster computing.

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Our Masters degree in Mathematics and Data Science emphasises the practical application of mathematics for data science. You’ll develop skills that are highly sought after in the data industry.
On our Mathematics and Data Science MSc, you get the opportunity to work with academics on  commercially relevant research projects. You can also take part in projects with industry or technology providers. You'll gain hands on industry standard skills and knowledge from lecturers with research expertise in mathematical modelling, data science and AI. The course covers:
  • statistical analysis of large datasets and data in network form, e.g. social media networks;
  • basic and advanced programming using R, Matlab and Python;
  • building and analysing mathematical models of real-life systems;
  • probability, stochastic optimisation and artificial intelligence;
  • data analytics and machine learning;
  • relational and non-relational databases;
  • cluster computing.

Admission Requirements

12 Months
Jan
Sep

Scholarships

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