## Course Information

**BSc (Hons) (NFQ Level 8)**

**Full Time - Undergraduate Studies**

**CAO Code:** DN200

**CAO Points Range 2018:** 520

**Length of Course:** 4 Years

**Average Intake:** 400

**Leaving Certificate:**

- O2/H6 in Mathematics
- O2/H6 in a laboratory science (Applied Mathematics or Geography may be used instead of a laboratory science subject) and
- O6/H7 in English, Irish and two other recognised subjects

**Special Entry Recommendations: **We recommend that all students in Financial Mathematics should have a minimum Grade H3 in Leaving Certificate Higher Level Mathematics or equivalent.

**Click below for equivalent entry requirements information for:**

### Why is this course for me?

If you have a strong interest in Mathematics, enjoy problem solving and are interested in how Mathematics is used in business and ﬁnance, this degree in Financial Mathematics will give you an understanding of the mathematical theories that underpin ﬁnancial models, as well as computational expertise in the algorithms that price ﬁnancial products. One example of a ﬁnancial model included in the course is the Black-Scholes option pricing model, dating from 1973, which is one of the earliest equations developed and used to price options. Implementations of these models, including computer programming, form a key part of the course.

### Career & Graduate Study Opportunities

Graduates with training in Financial Mathematics work in fields as diverse as:

- Quantitative positions in the financial sector
- 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 Actuarial Science, MSc in Quantitative Finance, or an MSc in Statistics.

### What Will I Study

This is a sample pathway for a degree in Financial Mathematics. Sample topics include probability theory, statistical modelling, computational science, fundamentals of actuarial and ﬁnancial mathematics, advanced corporate ﬁnance, stochastic analysis and actuarial statistics.

**First Year**

- Statistics
- Applied & Computational Mathematics
- Mathematics
- Optional Science modules
- Elective modules

**Second Year**

- Applied & Computational Mathematics
- Mathematics
- Statistics
- Finance
- 1 other Science subject
- Elective modules

**Third Year**

- Financial Mathematics
- Elective modules

**Fourth Year**

- Financial Mathematics (modules include computational finance, stochastic models, Bayesian analysis, and advanced corporate finance)

All Science courses are full time, with many student timetables running from 9.00am to 5.00pm or later. Depending on the subject choices, a weekly timetable can include lectures, practicals and tutorials.

Assessment varies with each module but may comprise continuous assessment of practicals, written exams and online learning activities.

For detailed information on subject content click the relevant link below:

### International Study Opportunities

Students may apply to study abroad for a semester or year in third year in a range of worldwide universities. Potential universities include:

- University of Texas at Austin, USA
- University of California, USA
- University of Perugia, Italy
- University of Konstanz, Germany

### Testimonial

“My PhD in Pure Mathematics focused on partial diﬀerential equations. I then taught Mathematical Analysis and in order to adapt the teaching of Mathematics to real-world applications, I had to analyse real business cases, which deepened my interest in Applied Mathematics. I then decided to move to the ﬁnancial industry and for ﬁve years I worked as a Business Analyst in the Derivatives Pricing and Risk Management Department of an advisory ﬁrm. Today, I feel very lucky because my job draws on my experience to date and the modules I teach in Financial Mathematics will prepare students to work in today’s ﬁnancial sector. Our Financial Mathematics degree provides a thorough preparation to work in banking, insurance and ﬁnancial services by teaching the main skills required, such as data analysis, mathematical modelling, numerical methods and coding, ﬁnancial economics and corporate ﬁnance.”

**Dr Adamaria Perrotta Staﬀ**