This programme is intended for applicants who have an Upper Second class honours degree or higher, or the international equivalent, in a highly quantitative subject such as Mathematics, Physics, Statistics, Engineering.
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.
School of Mathematics and Statistics Application Process FAQ
These are the minimum entry requirements – additional criteria may be requested for some programmes
1 - Demonstrate an in-depth understanding of the interface of applied mathematics, statistics and computational science. 2 - Demonstrate familiarity with the areas of data and computational science currently under active research 3 - Undertake excellent research at an appropriate level, including survey and synthesise the known literature 4 - Use the language of logic to reason correctly and make deductions 5 - Approach problems in an analytical, precise and rigorous way 6 - Apply computationally based techniques to formulate and solve problems 7 - Model real-world problems in an applied mathematical or statistical framework 8 - Analyse and interpret data, find patterns and draw conclusions 9 - Work both independently and as part of a team to pursue a research agenda 10 - Give oral presentations of technical material at a level appropriate for the audience 11 - Prepare a written report on technical content in clear and precise language Our graduates will be suitably qualified for research at the PhD level at the interface of applied mathematics, statistics and computational science. They will be valued for their technical knowledge and research skills. Equally, our graduates will be in demand by employers for their acquired skills in data analytics and computational and statistical modelling. Recent graduates from this programme work in ICT (including Amazon, IBM, Intel, Meta, Paypal and Vodafone), financial services (including AIB, Aon, Fidelity Investments), and other data-intensive industries (e.g. Accenture, Bosch, EY) Students are offered the opportunity to undertake an internship during the course. The following internships are examples of past placements: Arista, Arup, Revenue Commissioners and Analog Devices. *Placements are secured through a competitive process and are not guaranteed. Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information. Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.