Financial Mathematics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Masters Degree in Financial Mathematics at University College Dublin equips you with the advanced quantitative skills demanded by the contemporary financial sector. You will explore complex financial modelling, risk management, and computational finance, gaining a deep understanding of the mathematical principles driving global markets. This programme is ideal for mathematically adept individuals aiming to solve sophisticated financial problems and innovate in areas such as algorithmic trading, quantitative analysis, and risk assessment. It provides a robust foundation for a career at the forefront of financial innovation.

This full-time, on-campus Masters programme is delivered over one year, integrating core modules in stochastic calculus, financial risk measurement, and advanced financial models with a range of elective options. You will have the unique opportunity to apply your learning through either a substantial financial dissertation or a practical work placement with a financial firm, gaining invaluable real-world experience. You will graduate with advanced analytical skills, proficiency in statistical programming, and the confidence to excel in demanding quantitative roles across the financial industry.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course provides a rigorous foundation in financial mathematics, covering core topics such as stochastic calculus, financial risk measurement and management, counterparty credit risk, and advanced financial models. Students will further specialize by choosing elective modules from a diverse range including partial differential equations in finance, computational finance, machine learning, econometrics, and data programming. The program culminates in either a financial work placement or a dissertation, allowing for practical application or in-depth research.

1 Stage 1 Core Modules

Stochastic Calculus
Financial Risk Measurement & Management
Counterparty Credit Risk
Advanced Financial Models

2 Stage 1 Options - A) Elective Modules (Choose 4)

PDEs in Financial Maths
Scientific Programming Concepts (ICHEC)
Behavioural Economics
Measure Theory & Integration
Data Programming with R (Online)
Data Programming with Python (Online)
Big Data Programming
Computational Finance
Optimisation in Machine Learning (ML)
Introduction to Relational Databases and SQL Programming
Energy Economics and Policy
Advanced Econometrics: Time Series
Statistical Machine Learning (Online)
Bayesian Analysis (Online)

3 Stage 1 Options - B) Work Placement or Dissertation (Choose 1)

Financial Work Placement
Financial Dissertation

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 26,874.00
Total Program Cost Estimated total tuition
USD 26,874.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 349.00 - USD 849.00
Food & Groceries USD 3,930.00 - USD 5,613.00
Transport USD 842.00 - USD 1,965.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 6,176.00 - USD 9,683.00

Living cost estimates are based on Belfield campus.

Outcomes & Employability

What happens after you graduate

99%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingCivil & Infrastructure EngineeringClient Services & Account ManagementCreative & ContentHigher Education & UniversitiesIT Support & Systems AdministrationInvestment Management & Asset ManagementRehabilitation & PhysiotherapySoftware Development & EngineeringWireless & Mobile Communications

Top Employers Hiring for this course

AIB

Amazon

Aviva

Bank of Ireland

Citi

DHL

Deloitte

EY

Why Study Financial Mathematics at University College Dublin

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at University College Dublin in Ireland

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Financial Mathematics at University College Dublin

Can I work while studying?

International students can work up to 20 hours per week during term time and 40 hours during breaks without a separate work permit. This is a great opportunity to gain practical experience.

What English language score do I need for this course?

English proficiency can be demonstrated through several tests. For example, a Duolingo overall score of 120 or an IELTS overall score of 6.5 is required.

What jobs can I get after studying this course?

Graduates can pursue various roles such as Quantitative Analyst, Financial Risk Manager, Data Scientist, Algorithmic Trader, and Financial Consultant.

What will I actually study in this course?

This program covers complex financial modeling and risk management while also teaching computational finance. It aims to equip students with the advanced quantitative skills necessary for innovative roles in the financial sector.

When can I start — what are the intake months?

The intake month for the Masters Degree in Financial Mathematics at University College Dublin is September. Ensure you prepare your application materials well in advance to meet the deadline.
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