## 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 Applied & Computational 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 enjoy studying Mathematics for the Leaving Certiﬁcate, the UCD degree in Applied & Computational Mathematics will train you in the essential mathematical and computational skills in modelling, analysis and simulation needed to solve problems arising throughout the physical and life sciences, engineering, business and ﬁnance sectors.

Today’s challenges faced by science and engineering are so complex that they can be analysed and solved only through mathematical and computational modelling. Mathematical models create representations of complex real-world phenomena in a precise, quantitative way. Fundamental insights can then be obtained by analysing these models through a combination of mathematical analysis and computational simulation. Outside the traditional spheres of science and engineering, mathematical modelling and simulation techniques are increasingly used in the social sciences, communication, business and ﬁnance sectors.

### Career & Graduate Study Opportunities

Graduates with training in Applied & Computational Mathematics work in fields as diverse as:

- Physics: nanoscience, quantum optical processes in semiconductors and robotics
- Biology: biomedical applications, medical instrumentation and bio-information technology
- Finance
- Pharmaceutical industry
- Environmental agencies and companies
- Computing in business, technology, research and academia

### What Will I Study

This is a sample pathway for a degree in Applied & Computational Mathematics. Sample topics include dynamical systems and chaos, ﬁnancial mathematics, oceanography, mathematical biology, ﬂuid dynamics, relativity and quantum mechanics.

**First Year**

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

**Second Year**

- Applied and Computational Mathematics (includes Mathematics/Statistics modules)
- + 1 Other Science Subject
- Elective modules

**Third Year**

- Applied & Computational Mathematics
- Elective modules

**Fourth Year**

- Applied & Computational Mathematics

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

“I spent my first two years taking modules in pure Maths, Applied Maths, Statistics, Geology and Physics to try to find my niche. Eventually I decided to go with Applied and Computational Mathematics. For me, it was the perfect balance between physical problems, maths problems and programming. In this course, you get to learn about a lot of advanced areas of Mathematics and you also learn how to apply these methods to real-life physical systems. I am currently researching for a PhD at UCD in wave turbulence, an area of Mathematics which has potential applications in engineering and optics.”

**Shane Walsh Graduate**