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In addition to a variety of statistical techniques, we’ll cover key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes.
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Financial modelling with Lévy processes
Contagion in Financial Networks
Accreditation Accredited by the Royal Statistical SocietyRead less
In addition to a variety of statistical techniques, we’ll cover key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes.
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Financial modelling with Lévy processes
Contagion in Financial Networks
Accreditation Accredited by the Royal Statistical SocietyRead less
Admission Requirements
6.5+
176+
88+
61+
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Statistics with Financial Mathematics MSc
Western Bank, Sheffield,, United Kingdom
# 101-150QS Subject Rankings
12 monthsProgram duration
27,670 GBPTuition Fee/year
2Scholarships
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In addition to a variety of statistical techniques, we’ll cover key financial topics such as...
Read more
In addition to a variety of statistical techniques, we’ll cover key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes.
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Accreditation Accredited by the Royal Statistical Society Read less
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In addition to a variety of statistical techniques, we’ll cover key financial topics such as...
Read more
In addition to a variety of statistical techniques, we’ll cover key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes.
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Accreditation Accredited by the Royal Statistical Society Read less
Admission Requirements
Tuition fees
Domestic Students
International Students
Scholarships
International Postgraduate Taught Scholarship
Value
$2500
Deadline
8 Jul 2025
Application requirements
QS Event attendance is required
Entry requirements
You must be admitted to this school to be awarded
International Merit Scholarship (Postgraduate Taught Masters)
Value
$15000
Deadline
12 May 2025
Application requirements
QS Event attendance is required
Entry requirements
You must be admitted to this school to be awarded
QS subject rankings
Subject: Statistics and Operational Research
Ranking criteria
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