BSc (Hons) (NFQ Level 8)
Full Time - Undergraduate Studies
CAO Code: DN200
CAO Points Range 2021: 566
Length of Course: 4 Years
Average Intake: 420
- O2/H6 in Mathematics
- O2/H6 in a laboratory science (Applied Mathematics, Computer Science 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 Mathematics or equivalent.
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:
- Analytics and Forecasting
- Energy Systems
- Biomedical applications and bio-information
- 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, ﬂuid dynamics, relativity and quantum mechanics.
- Applied & Computational Mathematics
- Mathematics and Statistics
- Optional Science modules
- Elective module
- Applied and Computational Mathematics (includes Mathematics/Statistics modules)
- + 1 Other Science Subject
- Elective modules
- Applied & Computational Mathematics (modules include Partial Differential Equations, Mathematical Biology, Metric Spaces, Mathematics of Machine Learning)
- Elective modules
- Applied & Computational Mathematics (modules include Advanced Computational Science, Mathematics of Complex Networks, General Relativity & Black Holes, Mathematical Fluid Dynamics, and a two-trimester Research Project with a member of staff)
Timetables & Assessment
Each student will have their own timetable based on their individual module selection. This is a full time course and classes may include lectures, practicals and tutorials, depending on the subjects. Students will also be expected to study independently (autonomous student learning). Assessment varies with each module but may comprise continuous assessment of practicals, written exams and online learning activities.
You may be interested in the following Blog posts: Student explains why she decided to pursue the Science Education Pathway in UCD.
International Study Opportunities
Students may apply to study abroad for a trimester in third year in partner institutions internationally.
“The flexibility that DN200 Science offers meant I could explore Mathematics, Applied Mathematics and Physics without committing until I was sure. In second year, I decided that I enjoyed Applied and Computational Mathematics most and it was the best choice for me. I have learned about advanced areas of mathematics and programming and how you can apply them to solve or model real-life problems. I am an active member of the UCD Physics Society, including spending a year as Auditor. The events run by societies are a great way to get involved and get to know other people. After I graduated, I started an MSc in Applied Mathematics at the University of Edinburgh and plan to start a PhD afterwards.”
Aidan Tully, Graduate