Statistics and Applied Probability MSc

 
  

Fact file

Qualification
MSc Statistics and Applied Probability
Duration
1 year full-time
Entry requirements
2:2 (lower second class honours degree or international equivalent) in mathematics or a closely related subject with substantial mathematical content.
Other requirements
IELTS
6.0 (no less than 5.5 in any element)

If these grades are not met, English preparatory courses are available
Start date
September
Campus
University Park Campus
Tuition fees
You can find fee information on our fees table.
 

Overview

This course is informed by the work being carried out in the Statistics and Probability research group, covering topics such as stochastic processes, queueing processes, epidemic models and reliability.
Read full overview

This course is accredited by the Royal Statistical Society

The MSc Statistics and Applied Probability is suitable for students who wish to broaden and deepen their knowledge in both statistics and applied probability.

The course offers you the opportunity to further your knowledge in both of these areas, which will be beneficial for a professional career in statistics or as a solid basis for research in statistics or applied probability.

Topics include advanced stochastic processes, queueing processes, epidemic models and reliability, as well as most of those listed for the MSc Statistics.

Key facts

  • This maths course is informed by the work being carried out in the Statistics and Probability research group.
  • The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 50 full-time academic staff.
  • In the latest independent research assessment the Research Excellence Framework (REF), the school ranked 8th in the UK in terms of research power across the three subject areas within the School of Mathematical Sciences (pure mathematics, applied mathematics, statistics and operational research).
 

Course details

The course is taught mostly through lectures, backed up with smaller seminar groups which are used to revisit more complex topics. The course is taken full-time over one year and is made up of compulsary and optional modules to give you the flexibility to study your topics of interest. 

 

Course Modules include:

Compulsory:

  • Fundamentals of Statistics
  • Stochastic Models
  • Statistics Dissertation

Optional - students must choose three modules but are not able to take both Computational Statistics and Statistical Machine Learning.

  • Advanced Stochastic Processes
  • Applied Multivariate Statistics 
  • Computational Statistics
  • Statistical Machine Learning
  • Stochastic Financial Modelling
  • Time Series and Forecasting                                 

Please note that all module details are subject to change

Over the summer period towards the end of the course, you will undertake a maths dissertation of 15,000-25,000 words. In this module, a substantial mathematical investigation will be carried out on a topic in statistics or probability. The study will be largely self-directed, although a supervisor will provide oversight and input where necessary. The maths topic will be chosen by agreement between yourself and your supervisor. The maths topic could be based on the statistical analysis of a substantial dataset, an investigation into statistical methodology or an investigation into a topic of applied probability or probability theory. It is expected that most projects will contain an element of statistical computing. 

The MSc Statistics and Applied Probability is intended for students with a degree in mathematics (or a related subject with a substantial mathematical content). Some knowledge of probability and statistics would be helpful to start the course. 

The maths course is offered on a full-time basis over 1 year and comprises 180 credits, split across 120 credits’ worth of taught modules and a 60-credit research project. 

Modules are mainly delivered through lectures and example and /or problem classes for smaller groups. You will typically be assessed by an examination or coursework at the end of the semester in which a given module is taught. The course is designed such that the module `Fundamentals of Statistics' is either a pre- or a co-requisite for all other modules offered in the course, whereas the recommended books to meet the prerequisite for this module are:

  • Ross, S.M. (1976) A First Course in Probability (or any of the newer editions - most recent is the 8th edition, 2010), Collier-MacMillan.
  • Mann, P.S. (2010) Introductory Statistics, John Wiley & Sons
 
 

Modules

Advanced Stochastic Processes

Applied Multivariate Statistics

Computational Statistics

Fundamentals of Statistics

Statistical Machine Learning 

Statistics Dissertation

Stochastic Financial Modelling

Stochastic Models

Time Series and Forecasting

The modules we offer are inspired by the research interests of our staff and as a result may change for reasons of, for example, research developments or legislation changes. This list is an example of typical modules we offer, not a definitive list.

 
 

Funding

UK/EU Students

Tuition Fees

Information on current course tuition fees can be found on the University finance pages.

Postgraduate loans 


The government have announced new postgraduate loans of up to £10,000 for students studying a taught or research masters course commencing in September 2016/17.

These loans will be a contribution towards the costs associated with completing a postgraduate masters course and can be used towards tuition fees or living costs as you decide. The loan is non means tested and will be paid directly to you, the student, rather than the University.

If you are a home student or have UK residential status you will be eligible for a government loan and in some cases EU students may also be eligible.

Full information can be found at the postgraduate loan page on the student services website. 

Graduate School

The Graduate School website at The University of Nottingham provides more information on internal and external sources of postgraduate funding.

International Students 

Tuition Fees

Information on current course tuition fees can be found on the University finance pages.

International and EU students

The University of Nottingham offers a range of masters scholarships for international and EU students from a wide variety of countries and areas of study.

Applicants must receive an offer of study before applying for our scholarships. Applications for 2016 entry scholarships will open in late 2015. Please note the closing dates of any scholarships you are interested in and make sure you submit your masters course application in good time so that you have the opportunity to apply for them.

The International Office also provides information and advice for international and EU students on financing your degree, living costs, external sources of funding and working during your studies.

Find out more on our scholarships, fees and finance webpages for international applicants.


 
 

Careers

The maths course offers you the opportunity to further your knowledge in both statistics and applied probability, which will be beneficial for a professional career in statistics or as a solid basis for research in statistics or applied probability.

Average starting salary and career progression

In 2014, 86.7% of postgraduates in the School of Mathematical Sciences who were available for employment had secured work or further study within six months of graduation. The average starting salary was £25,000 with the highest being £27,000.*

* Known destinations of full-time home and EU postgraduates, 2013/14.

Career Prospects and Employability

The acquisition of a maths masters degree demonstrates a high level of knowledge in a specific field. Whether you are using it to enhance your employability, as preparation for further academic research or as a means of vocational training, you may benefit from careers advice as to how you can use your new found skills to their full potential. Our Careers and Employability Service will help you do this, working with you to explore your options and inviting you to attend recruitment events where you can meet potential employers, as well as suggesting further development opportunities, such as relevant work experience placements and skills workshops.

 
 
 

Contact

Dr Huiling Lee
School of Mathematical Sciences
The University of Nottingham
University Park
Nottingham
NG7 2RD
Get in touch
+44 (0)115 951 4936
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The University of Nottingham
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