MSc in Quantitative Finance
A rigorous master’s programme in mathematical modelling and financial market techniques for careers in finance.
Best for:Best for graduates with a strong quantitative background in mathematics, statistics, economics, finance, or related fields seeking a rigorous master’s programme in financial modelling and risk management.
Overview
The MSc in Quantitative Finance at University College Dublin offers a comprehensive curriculum in mathematical modelling, financial securities pricing, hedging, and portfolio risk management. Designed for students with strong quantitative backgrounds, this programme equips graduates with the theoretical, mathematical, and computational skills essential for high-level roles in finance. It covers a broad spectrum of financial markets, from equity and fixed income to derivatives, preparing students for diverse career paths in the financial sector. The programme is ideal for those seeking a challenging academic experience with direct industry relevance.
What you'll do
- Study advanced mathematical and statistical techniques applied to financial markets.
- Develop skills in pricing and hedging financial securities, including equities, fixed income, and derivatives.
- Analyze and manage risk in diverse financial portfolios.
- Apply computational tools and models to solve real-world financial problems.
- Engage in coursework and projects that bridge theory and practical financial applications.
- Collaborate with peers and faculty on quantitative finance research and case studies.
Requirements
Degree required: An honours bachelor’s degree (minimum 2.1 equivalent) in Business/Commerce with quantitative subjects (e.g., Economics or Finance), or a related field such as Mathematical Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or Physics.
Degree offered: MSc in Quantitative Finance
Language: English proficiency required for non-native speakers; exceptions apply if prior degree was completed in an English-speaking country. Proof of proficiency may include IELTS or TOEFL scores.
Instruction: English
- Strong academic background in quantitative subjects (e.g., mathematics, statistics, econometrics).
- Demonstrated ability to handle advanced mathematical and statistical modelling.
- Familiarity with financial markets, securities, and risk management concepts.
- Proficiency in computational tools and programming (if applicable).
- Open to domestic (EEA) and international (non-EU) applicants for full-time study.
- Part-time study open only to domestic (EEA) applicants.
- Applicants may be required to take the GMAT, subject to individual assessment.
Funding & terms
Programme and admissions
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- Intake
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- Duration
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How to apply
Deadline: Unknown (rolling admissions or open until filled) · open until filled
Applicants must apply online through the UCD Graduate Admissions Portal. Submit a CV, academic transcripts, proof of English proficiency (if required), and any additional documents such as GMAT scores if requested. The UCD Smurfit Admissions Office will assess international qualifications for comparability to Irish entry requirements.
- CV
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if applicable)
- GMAT scores (subject to individual application)
- Statement of purpose or personal statement (if required)
Contact
UCD Smurfit Admissions Office· Admissions Contact
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