Financial Mathematics  (MMCA)

This programme is aimed at students who wish to gain a deep understanding of the concepts of modern financial mathematics and a mastery of the associated skills and technologies. Our students will become autonomous inquisitive learners capable of formulating and creatively solving relevant problems in the language of mathematics, with an emphasis on applications to finance. Our graduates will be in demand by employers in the financial services sector and academic research institutes for their ability to use the tools they have learned to explain, describe and predict. We value students who are motivated to find the underlying mathematical causes and reasons for observations and patterns. We aim to provide a teaching and learning environment that develops confidence and independence through a wide variety of interactive formats, both inside and outside the classroom, including lectures, tutorials, webwork, blackboard and computer assisted labs.

1 - Demonstrate an in-depth understanding of mathematics
2 - Use the language of logic to reason correctly and make deductions
3 - Approach problems in an analytical, precise and rigorous way
4 - Explore and manipulate abstract concepts
5 - Apply mathematical reasoning and techniques to formulate and solve financial problems
6 - Model real-world financial problems in a mathematical framework
7 - Confidently analyze and draw information from large quantities of data
8 - Analyze and interpret data, find patterns and draw conclusions
9 - Use the power of modern technology to augment mathematical problem solving
10 - Work independently and as part of a team
11 - Carry out research into a specific topic, including a survey and synthesis of the known literature
12 - Give oral presentations of technical mathematical material at a level appropriate for the audience
13 - Prepare a written report on technical mathematical content in clear and precise language

Students’ performance will be reviewed at the end of the academic year. Students who fail 50% or more of their registered modules, and who fail to progress to the next stage of their programme, will be identified under the UCD Continuation – Academic progress policy. Students’ performance will continue to be reviewed in subsequent trimesters and students will be invited to meetings with the College of Science office for support and guidance.

Where the rate of progression and performance over two academic years is deemed unacceptable, a case will be submitted to the Governing Board for review. A recommendation for discontinuation may be the outcome of this review.

As Stages 3 and 4 have the most dynamic components of the programme, and the material studied previously may no longer be relevant, a student who has been away from the programme for a significant period should be required to register again to Stage 3. The upper limit for completion of Stages 3 and 4 should be six years if they choose to do 120 credits with 20 in each year.

Students may apply to study abroad for a trimester in third year in partner institutions internationally.

Graduates with training in Financial Mathematics work in fields as diverse as quantitative positions in international financial companies, risk modelling in banking and insurance, computing in business, technology, research, and academia.

Graduates can also pursue a range of MSc or PhD programmes such as the MSc in Financial Mathematics, MSc in Actuarial Science, MSc Statistical Data Analysis or an MSc in Data Analytics.

• Level 5/6 QQI-FET
• Open Learning Entry Route
• Mature Entry Route
• DARE Entry Route
• HEAR Entry Route
• University Access

Dr Adamaria Perrotta
UCD School of Mathematics and Statistics
askscience@ucd.ie

Stage 2

Students must take a minimum of 50 credits of modules (cores and options) from within the BSc programme. Students may take additional modules from the option list below or alternatively, students may register to a further 10 credits of elective modules.