Mathematics and Statistics for Data ScienceMatamaitic agus Staitisticí d'Eolaíocht Sonraí

Data Science is the analysis and ability to draw conclusions and insight from data which enables evidence-based decision making.  Data Science is, therefore, a fast growing sector and fundamental to business, the commercial and public sectors. Data Science relies on mathematics and statistics and the models and techniques within these disciplines. Thus, an advanced understanding of Data Science requires a strong mathematical and statistical background.

This course has been carefully structured to provide the mathematical and statistical knowledge required to underpin the skills and deep understanding of models that are sought by employers from data scientists. A particular focus of the course is the analysis and solution of real-world mathematical problems in a data science context.

Years 1 and 2, on TU874, give a broad basis of subjects in applied and pure mathematics, statistics, and operational research. Introducing mathematical modelling and relevant topics in computing are also important features of years 1 and 2. Years 3 and 4 consist of advanced modules in mathematical modelling, financial mathematics, operations research and mathematical statistics. Many of these modules integrate industry relevant software.

Throughout the course, there is an emphasis on computer laboratory-based work and problem-based learning via mathematical modelling, computer programming, computer applications, case studies and problem-solving, and the development of professional skills (e.g. communication skills, effective team-work strategies and project management). The course includes a six-month work placement relevant to data science roles during year 3 enabling students to experience a working environment and gain experience of using their analytical, problem solving and computer skills.

Study Abroad Opportunities

There is an option in some semesters of the course to study in other European institutions via Erasmus.

Entry to the course is via TU874 Mathematics and Statistics

4 years duration – First two years are on TU874 and then transfer to Year 3 of TU873 (2 years)

English Language Requirements

If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6 overall (or equivalent) with nothing less than 6 in each component.

Mathematicians and statisticians are some of the most sought-after professionals. Our graduates possess the transferrable skills that are required in the modern, technological workplace and are ready to succeed in rewarding and lucrative careers across a wide range of sectors.  They are immensely flexible, ready to embark upon high-achieving careers in financial services, data analysis, statistics, ICT, applied technologies, teaching, and many other sectors. Please see possible careers below;

• Actuary
• Big Data Specialist
• Data Analyst
• Industrial R&D Roles
• Mathematical Modeller
• Mathematician
• Mathematics Teacher
• Quantitative Analyst in Financial Sector
• Scientist

We are currently closed for Advanced Entry Applications. The courses that will be open for advanced entry will be listed on the CAO website in January 2025. For information on how to make an Advanced Entry application, please visit our CAO Hub. If this course opens for advanced entry, the following will apply.

To qualify for Advanced Entry applicants must be currently studying, completing, or have successfully completed, studies at Level 6, 7 or 8 in a Higher Education Institution (HEI) or an equivalent, in a related area. You must demonstrate by providing transcripts of results that you have achieved the learning outcomes for each stage you wish to advance past, for example:

• To enter Year 2 via Advanced Entry, you must demonstrate that you have met the learning outcomes for Year 1.
• For entry to Year 3, you must demonstrate that you have met the learning outcomes for Years 1 and 2.
• For entry to Year 4, you must demonstrate that you have met the learning outcomes for Years 1, 2, and 3.

If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website.

My work placement as part of the industrial Mathematics course helped me secure a job in an exciting field once I graduated.... technical and problem solving skills I developed during my time in the Industrial Mathematics course help me solve real world business problems on a daily basis. I found the lecturers to be very approachable, friendly and helpful.

Graduates will have developed a capacity for independent study and be in a good position to progress to postgraduate study and research. In particular, graduates who reach the appropriate honours standard will be eligible to undertake masters degrees or research degrees in the School of Mathematical Sciences, in TU Dublin or elsewhere in Higher Education.

Graduates of this course may proceed to postgraduate studies leading to the award of MSc, MPhil or PhD at research institutes and universities worldwide.