Quantitative Finance
Overview
The MSc in Quantitative Finance provides a rigorous grounding across a wide range of mathematical modelling methods and techniques for financial markets. From the pricing and hedging of financial securities to managing the risk in portfolios of equity, fixed income and derivative securities. A challenging programme, it equips students with the necessary theoretical, mathematical and computational skills needed to pursue a rewarding career in finance. Ambitious students with an educational background in Economics, Finance or STEM (Science, Technology, Engineering, and Mathematics) subjects and with a proven quantitative talent will be ideally suited to this programme. For graduates wishing to pursue further the theoretical dimension to the discipline, the curriculum content also provides the perfect basis for a Ph.D. in Finance.
The course was awarded Risk Management Accreditation by the Professional Risk Managers International Association (PRMIA), confirming the suitability of the course for preparing graduates for a career as professional risk managers. Graduating students obtain exemptions to PRMIA level 1 and 2 exams.
The programme can be undertaken on a full-time or part-time basis. The part-time option enables current professionals with the relevant background to combine working life with study, however this is dependent on students’ employment commitments.  Note that this is not a dedicated part-time programme and that part-time students will be required to attend lectures, tutorials and complete group assignments in conjunction with the full-time cohort, for whom the schedule is primarily during working hours for a block of hours on several days a week.  Modules in autumn trimester will be delivered in a compressed format meaning that modules are taught intensively over two 6 week periods, requiring additional attendance at lectures and tutorials. Employer support is therefore essential.
Subjects taught
Stage 1 Core Modules
FIN41660	Financial Econometrics	Autumn	 5
FIN42000	Financial Theory	Autumn	 5
FIN42020	Derivative Securities	Autumn	 5
FIN42030	Financial Analysis	Autumn	 5
FIN42040	Capital Markets & Instruments	Autumn	 5
FIN42050	Quant. Methods for Finance	Autumn	 5
FIN40040	Numerical Methods	Spring	 7.5
FIN40060	Advanced Derivative Securities	Spring	 7.5
FIN40420	Fixed Income Securities	Spring	 7.5
FIN41360	Portfolio & Risk Mgt	Spring	 7.5
FIN40090	Advanced Statistical Computing Methods for Finance	Summer	 7.5
FIN41930	Ethics in Financial Services	Summer	 7.5
Stage 1 Options - A) Min 1 of:
Choose 2 x 7.5 ECTs options modules. If you would like to pursue Summer Internship (FIN42060) or Research Project (FIN42070), your Programme Manager will register you upon approval. Students will be able to register to Summer Trimester modules in March.
FIN40490	Advanced Treasury Management/Financial Engineering	Summer	 7.5
FIN41480	Mergers & Acquisitions	Summer	 7.5
FIN41950	Financial Technology	Summer	 7.5
FIN42060	Summer Internship	Summer	 15
FIN42070	Research Dissertation	Summer	 25
FIN42210	Structured Finance	Summer	 7.5
FIN42340	Business Communications	Summer	 7.5
Entry requirements
Please review the entry requirements below. The UCD Smurfit Admissions Office staff have expertise in reviewing international qualifications from around the world and will be able to assess your application's comparability to the Irish entry requirement.
An honours bachelors degree in:
a. Business/Commerce to include a number of quantitative subjects such as Economics or Finance
or
b. a Finance-related-area, Mathematical Finance, Economics, Mathematics, Statistics, Computer Science, Engineering or Physics
with a minimum 2.1 award at NFQ Level 8 (or international equivalent) in a. or b. above.
Applicants should have demonstrated strong academic ability (a 1.1 or 2.1) in a number of quantitative modules in their degree, such as mathematics, statistics, or econometrics.
Candidates may be asked to sit the Graduate Management Admissions Test (GMAT) subject to individual application.
English Language Requirements
If English is not your first language, an English language qualification is required for admission to all of our programmes.  The exception to this rule is if you have completed your primary degree or an entire third level qualification through English, in an English speaking country.
You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.
https://tinyurl.com/2ae2ffax
Duration
B158 12 months full-time,
B282 24 months part-time.
Delivery: On Campus
Enrolment dates
B158 Quantitative Finance Master of Science  Full-Time 
Commencing September 2025 Graduate Taught 
B282 Quantitative Finance Master of Science  Part-Time 
Commencing September 2025 Graduate Taught
(UCD Michael Smurfit Graduate Business School)
Post Course Info
Career Opportunities
The MSc in Quantitative Finance from UCD Michael Smurfit Graduate Business School is highly regarded within the financial services industry. 
93% of our graduates from this programme were employed after 6 months across a range of industry sectors. Source: Latest Graduate Outcomes Survey, published in September 2024.
Potential careers for our graduates include:
Investment banking
Portfolio management
Trading
Quantitative analyst
Risk manager
Data Scientist
More details
- Qualification letters - MSc 
- Qualifications - Degree - Masters (Level 9 NFQ) 
- Attendance type - Full time,Part time,Daytime 
- Apply to - Course provider 
