### Overview

**Regulations and Programme Requirements**

Students enter the Single Honours BSc (Hons) Financial Mathematics and Actuarial Science through CK407 (Mathematical Sciences) Area of Study.

**Notes:**

*The final set of electives and 'project-related' modules offered is subject to the availability of adequate staff resources and therefore may need to be a subset of those indicated. Within the FMAS degree programme, priority will always be given to maintaining coverage of syllabi of the Institute and Faculty of Actuaries. Students should consult with School staff for guidance on their selections and the implications thereof.*
*The BSc Single Honours Degree in Financial Mathematics and Actuarial Science does not seek to provide a professional training programme for the examinations of the Faculty and Institute of Actuaries. Graduates who wish to pursue an actuarial career may qualify for exemption from some of the professional actuarial examinations, depending on their performance and choice of electives, and will have the necessary preparation to undertake the remaining examinations.*

### Eligibility for Entry to Second Year Programmes

Students from the Mathematical Sciences Area of Study (CK407) who pass First Science may opt to enter the Single Honours programme in Financial Mathematics and Actuarial Science.

### BSc Ordinary Degree - NFQ Level 7, Major Award

Students who pass Third Year may choose not to proceed to Fourth Year and may opt instead to be conferred with a BSc Ordinary Degree.

### Programme Requirements

For information about modules, module choice, options and credit weightings, please go to Programme Requirements.

### Programme Requirements

Module List
Code |
Title |
Credits |

| |

AM1052 | Introduction to Mechanics | 5 |

AM1053 | Introduction to Mathematical Modelling | 5 |

AM1054 | Mathematical Software | 5 |

MA1057 | Introduction to Abstract Algebra | 5 |

MA1058 | Introduction to Linear Algebra | 5 |

MA1059 | Calculus | 5 |

MA1060 | Introduction to Analysis | 5 |

ST1051 | Introduction to Probability and Statistics | 5 |

| 20 |

| Investment in Capital Assets | |

| Introduction to Valuation and Risk | |

| Habitats and Ecosystems | |

| Introduction to Chemistry for Physicists and Mathematicians | |

| Programming in C | |

| Network and Internet Technologies | |

| Geometry | |

| Principles of Market Analysis | |

| Introductory Physics I | |

| Introductory Physics II | |

| Statistical Programming in R | |

| |

AM2071 | Transform and Variational Methods | 5 |

MA2051 | Mathematical Analysis I | 5 |

MA2054 | Ordinary Differential Equations | 5 |

MA2055 | Linear Algebra | 5 |

MA2071 | Multivariable Calculus | 5 |

MF2050 | Discrete Time Financial Models | 5 |

MF2052 | Introduction to Financial Mathematics | 10 |

MF2053 | Financial Modelling for Actuarial Science 1 | 5 |

ST2053 | Introduction to Regression Analysis | 5 |

ST2054 | Probability and Mathematical Statistics | 10 |

| |

AM2060 | Object Oriented Programming with Applications | 5 |

MA3051 | Mathematical Analysis II | 5 |

MF3052 | Derivatives, Securities and Option Pricing | 5 |

MF3053 | Financial Modelling for Actuarial Science 2 | 5 |

ST3053 | Stochastic Modelling I | 5 |

ST3055 | Generalised Linear Models | 5 |

ST3061 | Statistical Theory of Estimation | 5 |

ST3074 | Statistical Methods for Non-Life Insurance | 5 |

^{1} | 20 |

| Principles of Market Analysis (10) ^{2} | |

| Mathematical Modelling (5) | |

| Computer Modelling and Numerical Techniques (5) | |

| Vector and Tensor Methods (5) | |

| Partial Differential Equations with Applications I (5) | |

| Topics in Applied Mathematics (5) | |

| Dynamical Systems and Bifurcation Theory (5) | |

| Complex Analysis (5) | |

| Survival Analysis (5) | |

| Methods of Reporting in Actuarial Science (5) | |

| |

MA4058 | Measure Theory and Martingales | 5 |

MF4051 | Continuous Time Financial Models | 5 |

MF4052 | Computational Finance | 5 |

MF4054 | Stochastic Analysis | 5 |

MF4056 | Computational Finance II | 5 |

ST4064 | Time Series | 5 |

MS4090 | Mathematical Sciences Project | 10 |

or ST4050 | Statistical Consulting |

^{3} | 20 |

| Securities Analysis (5) | |

| Corporate Financing (5) | |

| Vector and Tensor Methods (5) | |

| Partial Differential Equations with Applications I (5) | |

| Topics in Applied Mathematics (5) | |

| Dynamical Systems and Bifurcation Theory (5) | |

| Partial Differential Equations with Applications II (5) | |

| Perturbation and Asymptotic Methods (5) | |

| Network Science with Applications (5) | |

| Complex Analysis (5) | |

| Functional Analysis (5) | |

| Topics in Modern Algebra (5) | |

| Topics in Differential Geometry (5) | |

| Survival Analysis (5) | |

| Statistical Methods for Non-Life Insurance (5) | |

| Methods of Reporting in Actuarial Science (5) | |

| Statistical Methods for Machine Learning I (5) | |

| Statistical Methods for Machine Learning II (5) | |

| Contingencies (10) | |

Total Credits | 240 |

### Examinations

Full details and regulations governing Examinations for each programme will be contained in the *Marks and Standards Book* and for each module in the *Book of Modules*.

### Programme Learning Outcomes

**Programme Learning Outcomes for BSc in Financial Mathematics and Actuarial Science (NFQ Level 8, Major Award)**

On successful completion of this programme, students should be able to:

- Apply basic mathematical concepts, theories, principles and techniques for analysis of theoretical and practical problems of a mathematical nature;

- Construct and work with basic financial-mathematical models that are used for financial prediction, contract valuation (including option valuation) and financial decision making;

- Make use of mathematical software to analyze and solve problems in financial mathematics, actuarial science and related areas;

- Communicate effectively with the quantitative financial community and with the actuarial community;

- Provide a grounding in the fundamental concepts of actuarial science as they affect the operation of insurance and other financial bodies;

- Provide grounding in the mathematical and statistical techniques which can be used to model, analyze and manage risks;

- Present fundamental actuarial ideas and arguments to others outside the actuarial profession and use such ideas to analyze business and social issues and to formulate, justify and present plausible and appropriate solutions to business and social problems.