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Statistical Science (Distance Learning) at University of Nottingham - UCAS

Course options

2025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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. You will study the core statistical concepts of inference and modelling. As you progress, you will cover advanced topics in machine learning, multivariate statistics and time series. These topics will develop your understanding of modern statistical techniques, leading to a dissertation which lets you demonstrate the skills you have gained and develop your ability to study independently. You will be supported by expert lecturers and leading statistical experts and researchers throughout the MSc. Continued Professional Development (CPD) If you are already working in a statistics-related role, this MSc will enhance your existing knowledge and skills. You will formalise and consolidate your learning and practical skills through carefully chosen modules. All of the modules are available as standalone units to enhance your career development. Some examples include:
  • Frequentist Statistical Inference - learn the fundamentals of statistical inference and the computational implementation of inferential methods
  • Statistical Modelling of Discrete and Survival Data - explore extensions of linear models which enable the analysis of data in a wide range of scenarios
  • Statistical Machine Learning - use modern methods, combining statistics and computation, to make predictions for real-life data sets

Modules

  • Foundations of Statistics,
  • Frequentist Statistical Inference,
  • Statistical Modelling of Discrete and Survival Data,
  • Bayesian Data Analysis: Theory, Applications and Computational Methods,
  • Statistical Machine Learning,
  • Multivariate and Time Series Analysis,
* Statistics Dissertation.

Assessment method

By Examinations, Coursework, Dissertation, and Short project. Exams will take place at the university, or an approved test centre. Examinations will be scheduled to minimise travelling for students. You will be awarded the Master of Science Degree provided you have successfully completed the taught stage by achieving a weighted average mark of at least 50% with no more than 40 credits below 50% and no more than 20 credits below 40%. You must achieve a mark of at least 50% in the dissertation.

Entry requirements

* A high 2:2 in mathematics or a closely related subject with substantial mathematical content. * IELTS: 6.5 (6.0 in each element.) * As well as IELTS (listed above), we also accept other English language qualifications. This includes TOEFL iBT, Pearson PTE, GCSE, IB and O level English. * Some prior knowledge of statistics would be helpful but not essential to start the course. Familiarity with the basics of calculus (differentiation and integration) is assumed.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

UK fees: £12,410. International fees: £12,410.
Statistical Science (Distance Learning) at University of Nottingham - UCAS