Mathematical & Computational Finance

Dundalk Institute of Technology


Course Name Mathematical & Computational Finance
Course Provider Dundalk Institute of Technology
Course Code 103554 (Assigned by Qualifax. Not an official code)
Course Type Lifelong Learning
Award NameNFQ ClassificationAwarding BodyNFQ Level
Certificate Dundalk Institute of Technology None
Apply To Course provider
Attendance Options Part time, Evening
Location (Districts) Dundalk
Enrolment and Start Dates Comment

Expand+Registration for a part-time course at DkIT could not be easier. Just click on to search for your course and follow the ‘How To Apply’ instructions on the course page.

Please note that early registration is advisable as the nu...

Application Date Apply online Visit for information on how to enrol online for this course
or see Application weblink below.

Please note that early registration is advisable as the number of places on many courses is limited. Applications will be dealt with in order of receipt of completed application and appropriate fee. Apply by 14th September 2018.
Application Weblink Web Page - Click Here
Duration 1 Year

Course Delivery
One year, part-time evening course runs Monday and Wednesday evenings 18:00–21:00 plus one Saturday per month on-campus (subject to change).
Course Fee €2,200
Entry Requirements Applicants must already possess a Level 7 qualification or demonstrate an equivalent capacity to succeed, based on experiential learning acquired through extensive industrial experience.
Comment Awarding Body
Dundalk Institute of Technology Certificate Level 8
Subject to Validation
Course Content

Expand+Who Should Apply?
This course will be of particular interest to:
1. candidates already in employment in the financial or tech markets who wish to up-skill in order to fill and take advantage of obvious job opportunities,
2. candidates who hold ...

Subjects Taught Course modules include:
→ Calculus for Business and Finance
→ Stochastic Differential Equations
→ Micro and Macro Economics
→ Modeling in Financial Markets
→ Functional Programming (I)
→ Functional Programming (II)
Further Enquiries Dr Sarah Tanner
Department of Computing Science and Mathematics