Advert
Advert

MSc Statistical Science (Distance Learning)

  • DeadlineStudy Details: MSc Part-time: 24-72 months distance Learning

Masters Degree Description

The Statistical Science MSc is a part-time distance learning programme, offering you the flexibility to study your way. You will develop the advanced techniques and skills required to be a successful statistician in the 21st century.

As the data we generate increases, so does the global demand for analysts who can apply modern statistical methods to make sense of it. The MSc ensures you will gain the skills to go from exploring a data set, to modelling and analysing the data, through to presenting your findings in a variety of ways.

You will develop:

  • essential statistical knowledge
  • analytical skills
  • computational expertise
  • interpretive and communicative skills

Teaching is provided through course materials including lecture notes, digital recordings, training videos and practical computer sessions. You have the flexibility to look at these in your own time, meaning you can complete the masters around other commitments. We will support you throughout the degree with live online sessions using Microsoft Teams (or similar) which gives you the opportunity to ask any questions you have about the module content.

Entry Requirements

A high 2:2 (greater than 55% or international equivalent) in mathematics or a closely related subject with substantial mathematical content.

Some prior knowledge of statistics would be helpful but not essential to start the course.

Familiarity with the basics of calculus (differentiation and integration) and linear algebra (matrices and vectors)  is assumed.

Find out more

Student Destinations

Alongside their statistical knowledge, graduates will leave the course with valuable skills in:

  • logical thinking
  • problem-solving
  • data analysis and manipulation
  • communicating statistical findings

Graduates go on to a wide range of careers. Some enter roles that have a direct correlation to their degree, including banking, education and finance. Others utilise their transferable skills in sectors such as healthcare, sport and transport.

Module Details

Core modules

  • Foundations of Statistics20 credits
  • Frequentist Statistical Inference20 credits
  • Statistical Modelling of Discrete and Survival Data20 credits
  • Bayesian Data Analysis: Theory, Applications and Computational Methods20 credits
  • Statistical Machine Learning20 credits
  • Multivariate and Time Series Analysis20 credits
  • Statistics Dissertation60 credits

Find out more

Add to comparison

Learn more about University of Nottingham

Where is University of Nottingham?

Start your campaign today