Program Overview

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Bachelor of Science in Mathematical Sciences

Overview

The Bachelor of Science in Mathematical Sciences is a four-year, full-time program designed for students with an aptitude for mathematics and statistics. The program provides a broad training in mathematical and statistical skills, allowing students to work in various environments that require strong analytical and problem-solving skills.

Why Study Mathematical Sciences at UL?

The program is suited to students who enjoy mathematics and statistics and are interested in applying their skills to real-world problems. It provides a theoretical grounding for students who wish to pursue postgraduate studies and offers a range of career opportunities.

Entry Requirements

Additional considerations for entry requirements can be found on the University of Limerick website. Non-EU entry requirements and further information are also available.

How to Apply

Students can apply to the program through the Central Applications Office (CAO). More information on the application process can be found on the University of Limerick website.

Fees and Funding

Student course fees are broken down into three components: student contribution, student levy, and tuition fees. The fees for this program are as follows:

• EU students with free fees status in receipt of a SUSI grant: 7,366
• EU students with free fees status not in receipt of a grant: 7,366
• Students with EU fee status not in receipt of a grant: 7,366
• Non-EU students: 22,700

Scholarships

Several scholarships are available for this program, including:

• BD Science and Engineering Undergraduate Scholarship: 2,000 for one year
• Royal Irish Academy Hamilton Awards Mathematics: 250
• The Critchley Prize

Employability Skills

Graduates of this program develop a range of employability skills, including:

• Designing and conducting observational and experimental studies
• Analysing and interpreting data
• Approaching problems in an analytical and rigorous way
• Dealing with abstract concepts
• IT skills
• Advanced numeracy and analysing large quantities of data
• Logical thinking

Further Study Options

Graduates of this program may pursue further study options, including:

• PhD in Mathematics and Statistics
• PhD in Statistics
• MSc in Mathematical Modelling

Job Titles for Graduates

Graduates of this program have taken up a range of job titles, including:

• Actuary
• Analytics Consultant
• Business Analyst
• Commodity Analyst
• Marketing Analyst
• Master Data/SRM Analyst
• Risk Analyst
• Software Engineer

Student Profiles

Several students have shared their experiences and career paths after graduating from this program. These profiles demonstrate the range of career opportunities available to graduates and the skills they develop during the program.

Course Structure

Year 1

The first year of the program provides a foundation in mathematics and statistics, with modules including:

• Calculus 1
• Linear Algebra 1
• Computer Software 1
• Mathematics Laboratory
• Elective modules in computer science, economics, finance, or physics

Year 2

The second year of the program builds on the foundation established in the first year, with modules including:

• Methods of Linear Analysis
• Probability Models
• Applied Data Analysis
• Ordinary Differential Equations
• Vector Analysis
• Elective modules in computer science or mathematics

Year 3

The third year of the program provides students with the opportunity to specialize in either mathematics or statistical data science. Modules include:

• Introduction to Fluid Mechanics
• Numerical Methods for PDEs
• Complex Analysis
• Linear Algebra 2
• Elective modules in mathematics or statistics

Year 4

The final year of the program allows students to further specialize in their chosen area, with modules including:

• Perturbation Techniques & Asymptotics
• Dynamic Systems
• Mathematics of Natural Phenomena
• Elective modules in mathematics or statistics
• A final year project in a topic of the student's choice

Mathematics Pathway

The mathematics pathway is designed for students who wish to pursue a career in mathematics or a related field. The pathway includes modules such as:

• Introduction to Fluid Mechanics
• Numerical Methods for PDEs
• Complex Analysis
• Linear Algebra 2
• Elective modules in mathematics

Statistical Data Science Pathway

The statistical data science pathway is designed for students who wish to pursue a career in data science or a related field. The pathway includes modules such as:

• Statistical Inference
• Advanced Data Analysis
• Stochastic Processes
• Elective modules in statistics or computer science

Cooperative Education

The program includes a period of cooperative education, where students apply the skills they have acquired in a workplace setting. This provides students with valuable work experience and the opportunity to develop their skills in a real-world environment.