Mathematics and Statistics

4 Years On Campus Bachelors Program

Technological University Dublin

Program Overview

The BSc (Honours) in Mathematics and Statistics at TU Dublin is a four-year degree that equips students with advanced analytical, problem-solving, and computational skills. It suits students who enjoy logical reasoning and want to apply mathematics and statistics to real-world challenges, from data science and financial modelling to operations research and applied technologies.

Curriculum Structure

First Year

You’ll build a strong foundation in mathematics, statistics, and computing. Modules include Foundation Mathematics, Calculus I, Linear Algebra I, Statistics I, and Discrete Mathematics I, alongside Introduction to Scientific Python and a Mathematical Laboratory. This year develops your core skills in problem-solving and introduces you to computational tools.

Second Year

Your studies expand into more advanced areas. You’ll take Calculus II, Linear Algebra II, Statistics II, and Operations Research, alongside Numerical Methods and Geometry. Modules such as Practical Computing for Mathematics and Introduction to Ordinary Differential Equations through Python strengthen your applied and computational expertise.

Third Year

This year emphasizes application and choice. Core modules include Numerical Analysis & Applications, Ordinary Differential Equations, and Statistics III: Statistical Models, with electives such as Complex Analysis, Bayesian Learning, and Financial Mathematics. A highlight is the six-month work placement, where you gain professional experience applying mathematical and statistical skills in industry.

Fourth Year

The final year focuses on specialization and independent study. You’ll complete a major project in mathematics or statistics, alongside modules such as Partial Differential Equations and electives like Fluid Mechanics, Cryptology, Regression Models, Quantum Mechanics, and Case Studies in Industrial Modelling. This year consolidates your expertise and prepares you for professional or academic progression.

Focus Areas

Calculus, Linear Algebra, Statistics, Operations Research, Numerical Methods, Differential Equations, Complex Analysis, Financial Mathematics, Cryptology, Industrial Modelling.

Learning Outcomes

Graduates will master advanced mathematical and statistical techniques, develop computational and modelling skills, and gain professional experience through work placement. They will be prepared for careers in data science, finance, actuarial science, ICT, and applied research.

Professional Alignment (Accreditation)

The program is a Level 8 Honours Degree (NFQ), internationally recognized and designed to meet the needs of employers in mathematics, statistics, and data science.

Reputation (Employability Rankings)

TU Dublin is a member of the European University of Technology (EUt+) alliance and is recognized for strong industry links and graduate employability. Mathematicians and statisticians are among the most sought-after professionals, with TU Dublin graduates progressing into high-demand roles across financial services, ICT, and applied technologies.

Experiential Learning (Research, Projects, Internships etc.)

Students in TU Dublin’s BSc (Honours) in Mathematics and Statistics gain practical skills through a carefully designed mix of applied coursework, computational training, and industry engagement. The program emphasizes hands-on learning, ensuring you graduate with not only theoretical knowledge but also the ability to apply mathematics and statistics in professional contexts. Modern laboratories, digital tools, and a structured work placement make experiential learning a core part of your journey.

Experiential Learning

At TU Dublin, experiential learning is embedded directly into the Mathematics and Statistics program. You’ll move beyond lectures into applied practice, gaining confidence through labs, software, and industry placements:

Mathematical Laboratories: Dedicated labs where students apply concepts from modules such as Numerical Methods and Operations Research, using computational tools to solve real-world problems.
Scientific Computing with Python: Early modules like Introduction to Scientific Python and Ordinary Differential Equations through Python train students in coding and computational modelling, ensuring strong digital literacy.
Statistics Software: Modules integrate the use of R and SPSS, giving you practical experience in statistical modelling, data analysis, and applied research.
Group Projects: Collaborative coursework in areas such as Case Studies in Industrial Modelling and Regression Models develops teamwork and communication skills while tackling applied challenges.
Six-Month Work Placement: In third year, students complete a structured industry placement, applying mathematical and statistical skills in sectors such as finance, ICT, and applied technologies.
Research Opportunities: Final-year students undertake a major project in mathematics or statistics, often linked to industry case studies or TU Dublin’s research groups in applied mathematics, cryptology, and fluid mechanics.
Library & Digital Resources: The TU Dublin Library system provides access to specialist mathematics and statistics journals, databases, and digital learning tools to support coursework and projects.
School of Mathematics & Statistics: As part of TU Dublin’s Faculty of Computing, Digital and Data, students benefit from seminars, workshops, and exposure to internationally funded projects in mathematical sciences.
European University of Technology (EUt+) Alliance: Opportunities to study abroad or collaborate with partner institutions across Europe, enhancing your international experience.

This combination of computational labs, statistical software training, collaborative projects, and industry placement ensures you graduate not only with academic knowledge but with the professional skills to apply mathematics and statistics in diverse industries.

Progression & Future Opportunities

Graduates of TU Dublin’s BSc (Honours) in Mathematics and Statistics are highly valued for their ability to combine rigorous analytical skills with practical workplace experience. Typical career paths include data analyst, actuarial scientist, operations researcher, or financial modeller. Thanks to the program’s strong industry links and structured placement, students graduate ready to step directly into high-demand roles.

Progression & Future Opportunities

Your degree at TU Dublin is more than academic study — it’s a professional pathway supported by career services, employer partnerships, and international recognition:

University Career Services: TU Dublin’s Career Development Centre offers one-to-one guidance, employer networking events, and access to job postings, helping mathematics and statistics graduates secure roles in finance, ICT, and data science.
Employment Stats & Salary Figures: TU Dublin highlights that demand for statistical expertise has “never been greater,” with graduates entering sectors where salaries are competitive due to the shortage of skilled professionals.
University–Industry Partnerships: The School of Mathematics & Statistics has long-standing partnerships with employers such as AIG, where students gain placement experience in actuarial and data-driven roles.
Long-Term Accreditation Value: The program is a Level 8 Honours Degree (NFQ), internationally recognized and designed to meet the needs of employers in mathematics, statistics, and data science.
Graduation Outcomes: Alumni progress into careers in finance, actuarial science, ICT, operations research, and applied technologies, with many securing positions immediately after graduation thanks to TU Dublin’s placement program and employer reputation.

Further Academic Progression

After completing the BSc Mathematics and Statistics, many graduates choose to continue their studies to broaden career opportunities:

MSc in Data Science or Financial Mathematics at TU Dublin, building on strong quantitative foundations.
MSc in Statistics or Applied Mathematics, offering advanced specialization for research or industry-focused careers.
PhD programs in Mathematics, Statistics, or Applied Mathematics, preparing graduates for academic and research careers.
Opportunities to engage with TU Dublin’s School of Mathematics & Statistics research groups, ensuring graduates remain at the forefront of mathematical innovation.