Mathematics for data science mmath

Master

In Brighton and Hove

Price on request

Description

  • Type

    Master

  • Location

    Brighton and hove

  • Duration

    4 Years

  • Start date

    Different dates available

The volume of data collected and stored by organisations across the globe has grown exponentially, bringing opportunities and challenges to all sectors. Graduates with the ability to organise, analyse and gain insight from large sets of structured and unstructured data are in high demand.
Our integrated programme explores advanced areas of mathematics to masters-level. You will learn fundamentals of mathematics alongside topics such as data mining, stochastic modelling and artificial intelligence in a blend of theory and real-world practice.
Learning with active researchers, you will develop research skills through project work and explore specialist subjects through a range of optional modules, providing excellent preparation for doctoral study or your chosen career.
You will learn how to understand technical maths and communicate it in a clear way and build strong teamwork and presentation skills. You'll apply mathematics and statistics meaningfully in a range of contexts to solve specific problems using sophisticated software such as Maple, MATLAB, Lindo, R and SAS for modelling, computer algebra and statistical analysis.

Facilities

Location

Start date

Brighton and Hove (East Sussex)
See map

Start date

Different dates availableEnrolment now open

About this course

Entry requirements
A-levels or BTEC
Entry requirements are in the range of A-level ABB–BBC (128–112 UCAS Tariff points), or BTEC Extended Diploma DMM–MMM. Our conditional offers typically fall within this range.
A-levels must include maths at grade B.
We will generally make you an offer if your predicted grades are at the top of this range. If your predicted grades are towards the lower end of this range we may still make you an offer if you have a good GCSE (or equivalent) profile or relevant non-academic achievements.
International Baccalaureate owards your course at Brighton, and...

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Reviews

Subjects

  • GCSE Mathematics
  • Algebra
  • Mathematics
  • Statistics

Course programme

Year 1

Modules
  • Discrete and Continuous Mathematics

    This module introduces you to basic mathematical culture and fundamental concepts in discrete and continuous mathematics. You will actively engage with the subject by performing an exploration of topics within context and communicating the results using the language of mathematics.

  • Linear Algebra and Calculus

    This module introduces abstract concepts of linear algebra and applies them to range of different mathematical problems. Rigorous consideration of elementary examples will allow you to develop your understanding of the general common principles that underlie many real-world applications ranging from solving differential equations to computer graphics.

  • Introduction to Statistics

    This module introduces you to statistical and probability concepts and their real-world applications. Software packages such as SPSS and Microsoft Excel will be used to provide you with a grounding in industry appropriate statistical software. You will gain the skills required to apply statistics to real data sets together with the appropriate theory behind the applications.

  • Modelling and Mechanics

    This module will develop your understanding of the modelling process in mathematics, and an appreciation of the success of mechanics in modelling the physical world.

  • Introduction to Operational Research

    This module provides an introduction to the topic of operational research. The key role of operational research is in the development of models to obtain solutions to practical problems in a variety of contexts. You will analyse classical problems and apply standard operational research techniques.

Mathematics for data science mmath

Price on request