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The depth of maths taught in our financial mathematicsmaster's will give you the skills you need to succeed in the finance sector. It is also the ideal preparation if you want to pursue a research career in stochastic analysis, financial mathematics and other relevant areas.
The Financial Mathematics programme is designed to provide you with the strong mathematical skills, computational techniques and finance background needed to work in the financial sector. It could also open up careers in investment banking, hedge funds, insurance companies and the finance departments of large corporations.
Drawing on the expertise within our Department of Mathematical Sciences, you will undertake core specialised modules in stochastic analysis and measure theory, whilst also choosing optional modules covering wide-ranging topics of interest, including corporate finance, functional analysis and asset management. This makes the programme suitable both for those who are interested in an academic pathway (eg progressing to a PhD), as well as students seeking to enter the quantitative finance sector.
In addition, the 14 weeks at the end of the programme are devoted to an individual project (worth 60 credits), which you will complete under the supervision of your departmental supervisor – an excellent opportunity to connect with cutting-edge research ideas, as well as to build personal links with the finance industry.
As a postgraduate student, you will enjoy access to our computing laboratory which boasts a dedicated team to help you with any IT queries. You will also benefit from our £4 million refurbished department building, which has a spacious student activity area and dedicated state-of-the-art resources.
Program overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The depth of maths taught in our financial mathematicsmaster's will give you the skills you need to succeed in the finance sector. It is also the ideal preparation if you want to pursue a research career in stochastic analysis, financial mathematics and other relevant areas.
The Financial Mathematics programme is designed to provide you with the strong mathematical skills, computational techniques and finance background needed to work in the financial sector. It could also open up careers in investment banking, hedge funds, insurance companies and the finance departments of large corporations.
Drawing on the expertise within our Department of Mathematical Sciences, you will undertake core specialised modules in stochastic analysis and measure theory, whilst also choosing optional modules covering wide-ranging topics of interest, including corporate finance, functional analysis and asset management. This makes the programme suitable both for those who are interested in an academic pathway (eg progressing to a PhD), as well as students seeking to enter the quantitative finance sector.
In addition, the 14 weeks at the end of the programme are devoted to an individual project (worth 60 credits), which you will complete under the supervision of your departmental supervisor – an excellent opportunity to connect with cutting-edge research ideas, as well as to build personal links with the finance industry.
As a postgraduate student, you will enjoy access to our computing laboratory which boasts a dedicated team to help you with any IT queries. You will also benefit from our £4 million refurbished department building, which has a spacious student activity area and dedicated state-of-the-art resources.
Admission Requirements
67+
92+
6.5+
A 2:1 honours degree (or equivalent international qualification) in a subject with a high mathematical content.
1 Year
Oct
Tuition fees
Domestic
13,250 GBP
International
29,950 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Financial Mathematics MSc
Loughborough University, Loughborough, United Kingdom
# 201-250QS Subject Rankings
12 monthsProgram duration
29,950 GBPTuition Fee/year
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The depth of maths taught in our financial mathematics master's will give you the skills you need to succeed in the finance sector. It is also the ideal preparation if you want to pursue a research career in stochastic analysis, financial mathematics and other relevant areas.
The Financial Mathematics programme is designed to provide you with the strong mathematical skills, computational techniques and finance background needed to work in the financial sector. It could also open up careers in investment banking, hedge funds, insurance companies and the finance departments of large corporations.
Drawing on the expertise within our Department of Mathematical Sciences, you will undertake core specialised modules in stochastic analysis and measure theory, whilst also choosing optional modules covering wide-ranging topics of interest, including corporate finance, functional analysis and asset management. This makes the programme suitable both for those who are interested in an academic pathway (eg progressing to a PhD), as well as students seeking to enter the quantitative finance sector.
In addition, the 14 weeks at the end of the programme are devoted to an individual project (worth 60 credits), which you will complete under the supervision of your departmental supervisor – an excellent opportunity to connect with cutting-edge research ideas, as well as to build personal links with the finance industry.
As a postgraduate student, you will enjoy access to our computing laboratory which boasts a dedicated team to help you with any IT queries. You will also benefit from our £4 million refurbished department building, which has a spacious student activity area and dedicated state-of-the-art resources.
Program overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The depth of maths taught in our financial mathematics master's will give you the skills you need to succeed in the finance sector. It is also the ideal preparation if you want to pursue a research career in stochastic analysis, financial mathematics and other relevant areas.
The Financial Mathematics programme is designed to provide you with the strong mathematical skills, computational techniques and finance background needed to work in the financial sector. It could also open up careers in investment banking, hedge funds, insurance companies and the finance departments of large corporations.
Drawing on the expertise within our Department of Mathematical Sciences, you will undertake core specialised modules in stochastic analysis and measure theory, whilst also choosing optional modules covering wide-ranging topics of interest, including corporate finance, functional analysis and asset management. This makes the programme suitable both for those who are interested in an academic pathway (eg progressing to a PhD), as well as students seeking to enter the quantitative finance sector.
In addition, the 14 weeks at the end of the programme are devoted to an individual project (worth 60 credits), which you will complete under the supervision of your departmental supervisor – an excellent opportunity to connect with cutting-edge research ideas, as well as to build personal links with the finance industry.
As a postgraduate student, you will enjoy access to our computing laboratory which boasts a dedicated team to help you with any IT queries. You will also benefit from our £4 million refurbished department building, which has a spacious student activity area and dedicated state-of-the-art resources.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD