MSc in Quantitative Finance

at University College Dublin

The 12-month, full-time course covers a broad range of disciplines and skill sets, whilst the personal and professional development of each student is achieved through a defined series of actions and events.
 

To complete the programme, students must complete twelve core modules. In the summer term students can complete a research project, two option modules or in a small number of cases, apply for a limited number of possible internships. With any possible internship opportunity students have to go through a competitive recruitment process, including interviews with employers, to be selected.
 

Autumn Trimester      

• Capital Markets and Instruments

• Derivative Securities

• Financial Analysis

• Financial Econometrics

• Financial Theory 

• Quantitative Methods for Finance
   

 Spring Trimester 

• Advanced Derivative Securities

• Advanced Statistical Computing Methods for Finance

• Numerical Methods

• Portfolio & Risk Management
   

Summer Trimester

• Ethics in Financial Services
   

Students choose one of the Pathways below:

Pathway A: 

• Fixed Income Securities
   

plus choose two modules from the list below

• Advanced Treasury Management

• Financial  Technology

• Mergers and Acquisitions

• Structured Finance
   

OR
 

Pathway B: 

• Fixed Income Securities

• Summer Internship

OR

Pathway C: Research Dissertation
 

Please be advised that the above is the curriculum for the 20/21 academic year. Options listed are indicative of what has been delivered in previous years but what is offered each acadamic year is subject to change.

Taught Master's:  A minimum overall score of 7.0 over all components and a minimum of 6.0 in each band on the Academic Version.  The non-academic version is not accepted.

Taught Master's: A minimum score of 100 is required in the Internet based TOEFL (iBT) with a score of at least 20 in each section.
 

General Requirements

• Standard XII

• Central Board of Secondary Education (CBSE)

• Council for the Indian School Certificate (CISCE)

• Intermediate Exam (some state boards)

• Higher/Senior School Certificate/Examination (most state boards)

• Average is calculated on best 5 recognised subjects

• CBSE/AISSCE/CUSCE/ISC - English Language 80% OR IELTS/TOEFL or equivalent

• An honours bachelors degree in:

•  Business/Commerce to include a number of quantitative subjects such as Economics or Finance

•  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.

The cost of studying at University College Dublin varies largely depending on the type of university and the degree chosen. More often than not, humanities, arts, and education courses are less expensive than degrees in medical, engineering, or management. Furthermore, students who choose to study at the postgraduate level typically pay higher tuition fees, which again vary depending on the programme chosen.

Most universities provide scholarships or financial aid to students in order to help them offset their tuition costs. Students should be aware that additional course fees and incidental expenses may not be included in tuition. On average, international students can expect to pay €27450 annually, to study in University College Dublin.

The MSc in Quantitative Finance from UCD Michael Smurfit Graduate Business School is highly regarded within the financial services industry. 
 

100% of our graduates from this programme were employed after 6 months across a range of industry sectors. (Source: Latest Graduate Outcomes Survey, published in November 2021).
 

Potential careers for our graduates include:

• Investment banking

• Portfolio management

• Trading

• Quantitative analyst

• Risk manager

• Data Scientist