We welcome applications to study for the degrees PhD and MPhil. Research degrees can be taken either full time or part time and are supervised by experts from our academic staff, who are working at the forefront of their specialisms and engaged in interesting and exciting research and discovery. There are opportunities for multi-disciplinary research where mathematics and statistics provide a basis for new scholarship and understanding in other areas of science, computing or engineering.
New postgraduate research students join a vibrant research culture and environment. They participate in the School research seminar series, contribute to the mathematical sciences research group, and interact closely with full-time and part-time research students and other researchers, both within the School and externally. Many of our students are supported by research grants and have close associations with other research groups and research centres.
TU Dublin offers a structured PhD programme that combines research with advanced, discipline-based modules and modules focussing on research and employability skills. The expected duration of full-time study for a doctorate is up to four years and up to two years for the degree of MPhil. Part-time candidates are expected to take up to six years for a PhD and four years for an MPhil. More information, together with a selection of funding opportunities, fees information and information about applying can be found on the University's postgraduate research pages.
Enquiries
If you are interested in applying for a research degree in the School of Mathematics & Statistics, please first visit the School's research pages where you will find information about the research currently taking place. Prospective applicants should contact possible supervisors to discuss ideas for research projects and the contact details of academic staff can be found on the People pages. For general enquiries please visit the Contact page.
We offer opportunities to study mathematics and statistics at postgraduate level for advanced learners who have an existing qualification and wish to develop a deeper knowledge of mathematics and statistics: an understanding of not only what techniques to use but why they work and when they are appropriate.
General features
- Flexible programmes allow learners to balance work, home life and study.
- Many of our programmes are delivered either as blended learning – a carefully curated combination of synchronous and asynchronous online lectures and tutorials combined with supplementary in-person opportunities to enrich and enhance learning by face-to-face interactions with lecturers and fellow students – or fully online.
- Face-to-face events for our programmes take place in the evening on our state-of-the-art, purpose-built facilities at Central Quad, Grangegorman, near the centre of Dublin.
- Lecturers are experts in their disciplines and active researchers in the advanced topics covered by our postgraduate programmes.
- Graduates of our postgraduate programmes are enterprising and effective and have a deep practical understanding and enjoyment of fascinating and demanding areas of applied mathematics, statistics or mathematical physics.
- Graduates have highly-developed research and analytical skills and are well-prepared to develop high-calibre, technical careers or embark upon research.
Careers and progression
- Statistics, mathematical modelling, algorithms and applied mathematics are used by experts throughout the economy.
- Our programmes provide the skills required to enter high-calibre, technically-demanding, modern careers in industry, commerce and professions including finance, ICT, data analysis, the public sector and teaching.
- Our programmes prepare graduates for senior analytical and research roles where advanced mathematical techniques are applied to a wide variety of sectors.
- Many of our students pursue postgraduate study as a precursor to postgraduate research and our graduates can proceed to postgraduate research in the School.
Features
- Provides advanced statistical skills and the ability to apply these to genuine, realistic data sets and problems - vital modern graduate attributes.
- A part-time programme specifically designed to provide professionals with the highly specialised statistical skills required across a wide variety of sectors, such as insurance, banking, health care, enterprise software, internet technology, manufacturing and the public sector.
- Delivered online in the evenings over one academic year, allowing students to study flexibly and balance study with their lives.
- Covers a range of modern topics in statistics and is suitable for professionals who wish to learn statistics for the first time or build on their existing knowledge and skillset.
- Combines a blend of the underlying theory and practice with an emphasis on the use of modern software packages, such as R.
- Graduates are skilled practitioners in the area of applied statistical modelling with experience in using current software and a solid grounding in the concepts underpinning statistical analysis.
- Graduates possess enhanced problem-solving and decision-making skills and strengthened analytical capabilities.
Further information and enquiries
For details of modules and the structure of the programme visit the programme page on the Admissions site.
Visit our Contact page or contact the Programme Coordinator directly: fiona.murray@tudublin.ie, (+353) 1 220 5687.
Media
- An introduction to the Postgraduate Certificate in Applied Statistics TU248
The MSc in Applied Mathematics has undergone a process of review to offer an updated programme that provides greater flexibility to students whilst maintaining the course's reputation for providing opportunities to study practical and advanced topics in applied mathematics, applied statistics and mathematical modelling and to explore their applications.
Features
- a masters-level (level 9) qualification comprising 90 ECTS credits
- delivered in the evenings, allowing students to study flexibly and balance study with their lives
- uses a combination of online, on-campus and hyflex delivery to provide the best learning experience and an opportunity to engage and interact with other learners
- new topics, methods and approaches are introduced through taught modules
- learners explore their learning and get to use it in practical scenarios through case studies
- mathematical & statistical software are embedded in the programme to allow learners to gain proficiency in modern tools
- includes a project that explores a topic in depth developing practical research skills and deeper learning.
Applicant profile
Applications are welcomed from graduates of computing, engineering, mathematics, physics, statistics and other scientific and numerate programmes.
Graduate attributes
Graduates are mathematical and statistical modellers with an advanced level of knowledge combined with the practical and transferrable skills that can make a significant positive impact, solving problems in diverse, real-world contexts. They are flexible, highly-qualified, global technical professionals with excellent analytical and problem-solving skills.
Employment sectors
Graduates work across a wide range of sectors (e.g., climatology, epidemiology, systems biology, machine learning and artificial intelligence, manufacturing) and in roles, such as Data Analysts, Biostatisticians, Epidemiological Modellers, Risk Analysts, Supply Chain Analysts, and Research Analysts.
Further information and enquiries
For details of modules and the structure of the programme visit the programme page on the Admissions site.
Visit our Contact page or contact the Programme Coordinator directly: fiona.murray@tudublin.ie, (+353) 1 220 5687.