• Ross University School of Veterinary Medicine Featured Masters Courses
  • University of Cambridge Featured Masters Courses
  • Swansea University Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • Birkbeck, University of London Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
  • Ulster University Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
King’s College London Featured Masters Courses
University of Leeds Featured Masters Courses
University of Edinburgh Featured Masters Courses
Queen Margaret University, Edinburgh Featured Masters Courses
Swansea University Featured Masters Courses

Master of Science in Quantitative Finance (MScQF)


Course Description

The Master of Science in Quantitative Finance attracts numerate, competitive students seeking careers in finance that stretch their quantitative talents. The two-year full-time programme provides an integrated and balanced curriculum of finance and computational methods that accommodates students of diverse backgrounds.

The 4-semester programme comprises 18 courses, an internship and a major project. The curriculum gives students the knowledge and skills to develop quantitative security pricing models and trading strategies for managing portfolios of equity, fixed income and derivative securities and for managing corporate financial risk.

Programme structure
The MScQF is a small programme limited to about 20 students per year. The design of the curriculum presumes relatively little prior training in either finance or mathematics. The two-year full-time MScQF integrates the content of the one-year MBS in Finance with nearly the
equivalent of a masters in applied financial mathematics. The two-year structure affords the opportunity for a summer internship with a financial firm, a crucial component of the entire training and job-hunting process.
Assessment is by both examination and project work.

Careers
Career options for MScQF graduates include funds management, investment banking, financial engineering, and corporate treasury management. The MScQF also provides the recommended coursework component of the PhD in Finance at
UCD, leading to careers in academia as well as the finance industry.

Entry requirements
Appropriate degree fields include mathematical finance, economics, mathematics, statistics, engineering and physics. As relatively little prior formal training in mathematics is presumed, we welcome applications from quantitatively inclined graduates from a standard commerce programme. Generally, applicants must have high grades and a high score on the mathematics component of the GMAT (or an equivalent test). Work experience can partially compensate for non-competitive grades.

Ask us about our sponsorship and internship opportunities!

Visit the Master of Science in Quantitative Finance (MScQF) page on the University College Dublin website for more details!

Entry Requirements

2:1 appropriate fields include - mathematical finance, economics, mathematics, statistics, engineering & physics

Email Enquiry

Recipient: University College Dublin
Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.
Email Sent

Share this page:

Cookie Policy    X