## Course Information

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

**Undergraduate Full Time**

**CAO Code:** DN700

**CAO Points Range 2018:** 392

**Length of Course:** 4 Years

**Average Intake:** 500

**Leaving Certificate:**

O6/H7 in English, Irish, Mathematics and three other recognised subjects.

If you obtain less than H4 in Leaving Certificate mathematics you must pass a “Level 0” UCD mathematics module in semester 1.

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

### Why is this course for me?

If you are interested in Mathematics, Statistics and Economics, then this subject enables you to explore these areas in depth, while also emphasising how they complement each other. Economists employ mathematics to design theoretical models and use statistics to test these models and to explore the tremendous amount of data that is generated by the economy. In turn, the models and data that are part of the study of Economics provide an interesting source of applications for students that have learned mathematical and statistical skills.

### Career & Graduate Study Opportunities

The skills and problem-solving abilities you acquire in this degree are highly prized in a range of professions, both private and public sectors, including banking, finance, accounting, management consultancy, broadcasting, business, journalism, teaching and communications. Many students pursue graduate study in Economics, Mathematics or Statistics, leading to Master’s and PhD degrees. Both the School of Economics and the School of Mathematics and Statistics offer Master’s programmes aimed at further developing analytical and professional skills. Postgraduate qualifications are necessary to work as a professional economist.

### What Will I Study

You will study Economics, Mathematics and Statistics, providing you with a solid foundation in all three subjects. You will also be given the opportunity to specialise in the latter stages of your degree, for example, in applied economics, advanced statistics, mathematical modelling of complex processes, or developing “Big Data” skills. Through your study, you will develop skills in data analysis, and be supported in the development of your analytical and problem-solving skills, as well as in the application of these skills to understanding real economic issues. The degree will provide a structured approach to developing skills of analysis, problem design and resolution using mathematics, economic theory, data analysis and statistical methods.

**First Year**

- Introduction to Economics
- Principles of Microeconomics
- Principles of Macroeconomics
- Practical Statistics
- Statistical Modelling
- Calculus
- Linear Algebra
- Combinatorics and Number Theory
- Introduction to Computational Social Science
- Introduction to Programming
- Plus an Elective module.

**Second Year**

- Intermediate Microeconomics
- Intermediate Macroeconomics
- Probability Theory
- Linear Models
- Inferential Statistics
- Multivariate Calculus
- Analysis
- Linear Algebra 2
- Plus Elective modules.

**Third & Fourth Year**

- Advanced Microeconomics
- Advanced Macroeconomics
- Econometrics
- Time Series Analysis
- Multivariate Analysis
- Differential Equations
- Research Project
- Study Abroad Opportunity
- Internship Opportunity
- Plus Elective modules.

**Assessment**

Assessment is through a combination of end-of-semester written examinations, projects and continuous assessment.

### Testimonial

“Mathematics and Statistics provide a framework in which economic analysis is regularly conducted and, as such, understanding the mathematical concepts and methods underpinning that analysis can be key to understanding its implications. On the other hand, the study of economic theory provides you with a wealth of relevant economic and social questions to which you may apply some of the more general or abstract techniques that the mathematics subject stream has taught you. I believe that the combination of Economics and Mathematics in my undergraduate degree provided me with an excellent foundation to continue to study Economics at graduate level and, indeed, it has well placed me to begin to pursue a career in economic research.“

**Philip Carthy Economics & Mathematics Student**