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Bachelor of Science (Mathematical Science)
Bachelor of Science (Mathematical Science)
College of Science and Engineering- CAO Code
- GY319
- CAO Points
- 542 (2025)
- Average Intake
- 21
- Delivery
- On Campus
- QQI/FET/FETAC Places
- 4
- Award Type
- Major
- Next Intake
- September 2026
- Duration
- 4 years
Why Choose This Course?
Course Information
The BSc in Mathematical Science offers a highly flexible programme, allowing students to tailor their studies according to their interests. They may choose to focus on pure mathematics, applied mathematics, statistics, or combine elements from all three areas. Students also have the opportunity to take modules in bioinformatics, physics, chemistry, and biology, especially in the early years of the programme.
One of the programme’s key strengths is its flexibility. In the first two years, students gain a broad foundation in the mathematical sciences, enabling them to make well-informed choices about their areas of specialisation in the third and fourth years.
In year three, students have the option of applying to study abroad for one semester. In their fourth year, students complete a project under the guidance of a faculty member, through which they can develop research and mathematical writing skills, and presentation experience.
Year 1
- Mathematics
- Applied Mathematics
- Probability Models and Statistical Methods
- Introduction to Programming
- One of: Biology, Chemistry, Physics
- Mathematical Science Workshop Series
Year 2
Curriculum core consists of components from the following modules/pathways:
- Linear Algebra
- Discrete Mathematics
- Differential Forms
- Complex Analysis
- Probability
- Statistical Inference
- Mechanics
- Mathematical Methods
- Up to one-third of the second-year curriculum can be selected from a list of additional options, some offered from within the school and some available within other science disciplines, subject by first-year prerequisites.
Years 3 and 4
- Selection of specialised modules from chosen areas of the mathematical sciences.
- Final-year project in subject area of your choice.
Curriculum Information
Curriculum information relates to the current academic year (in most cases).Course and module offerings and details may be subject to change.
Glossary of Terms
- Credits
- You must earn a defined number of credits (aka ECTS) to complete each year of your course. You do this by taking all of its required modules as well as the correct number of optional modules to obtain that year's total number of credits.
- Module
- An examinable portion of a subject or course, for which you attend lectures and/or tutorials and carry out assignments. E.g. Algebra and Calculus could be modules within the subject Mathematics. Each module has a unique module code eg. MA140.
- Subject
- Some courses allow you to choose subjects, where related modules are grouped together. Subjects have their own required number of credits, so you must take all that subject's required modules and may also need to obtain the remainder of the subject's total credits by choosing from its available optional modules.
- Optional
- A module you may choose to study.
- Required
- A module that you must study if you choose this course (or subject).
- Required Core Subject
- A subject you must study because it's integral to that course.
- Semester
- Most courses have 2 semesters (aka terms) per year, so a three-year course will have six semesters in total. For clarity, this page will refer to the first semester of year 2 as 'Semester 3'.
Year 1 (60 Credits)
OptionalBO101: Biology - 15 Credits - Semester 1OptionalPH101: Physics - 15 Credits - Semester 1
OptionalCH101: Chemistry - 15 Credits - Semester 1
RequiredMA180: Mathematics (Honours) - 15 Credits - Semester 1
RequiredMP180: Applied Mathematics - 15 Credits - Semester 1
RequiredST1111: Probability Models - 5 Credits - Semester 1
RequiredCS1101: Introduction to Programming - 5 Credits - Semester 1
RequiredST1112: Statistical Methods - 5 Credits - Semester 2
Year 2 (60 Credits)
OptionalBO201: Molecular and Cellular Biology - 5 Credits - Semester 3OptionalMP231: Mathematical Methods I - 5 Credits - Semester 3
OptionalMA215: Mathematical Molecular Biology I - 5 Credits - Semester 3
OptionalCH203: Physical Chemistry - 5 Credits - Semester 3
OptionalCH204: Inorganic Chemistry - 5 Credits - Semester 3
OptionalCT2101: Object Oriented Programming I - 5 Credits - Semester 3
OptionalBI208: Protein Structure and Function - 5 Credits - Semester 3
OptionalMA2286: Differential Forms - 5 Credits - Semester 3
OptionalCS2101: Programming for Science and Finance - 5 Credits - Semester 3
OptionalPH2113: Energy, Forces and Motion in Physics - 5 Credits - Semester 3
OptionalPH2114: Modern Physics - 5 Credits - Semester 3
RequiredMA284: Discrete Mathematics - 5 Credits - Semester 3
RequiredMP236: Mechanics I - 5 Credits - Semester 3
RequiredST2003: Random Variables - 5 Credits - Semester 3
OptionalMA1993: Mathematics Of Finance - 5 Credits - Semester 4
OptionalCS211: Programming and Operating Systems - 5 Credits - Semester 4
OptionalCT2102: Object Oriented Programming II - 5 Credits - Semester 4
OptionalBI207: Metabolism and Cell Signalling - 5 Credits - Semester 4
OptionalMA216: Mathematical Molecular Biology II - 5 Credits - Semester 4
OptionalCH202: Organic Chemistry - 5 Credits - Semester 4
OptionalCH205: Analytical & Environmental Chemistry - 5 Credits - Semester 4
OptionalBI206: Gene Technologies and Molecular Medicine - 5 Credits - Semester 4
OptionalMA2287: Complex Analysis - 5 Credits - Semester 4
OptionalMP232: Mathematical Methods II - 5 Credits - Semester 4
OptionalMA2104: Matamaitic don Inbhuanaitheacht (Mathematics for Sustainability) - 5 Credits - Semester 4
OptionalPH2115: Electricity and Magnetism - 5 Credits - Semester 4
OptionalPH2116: Computational Physics - 5 Credits - Semester 4
RequiredMA283: Linear Algebra - 5 Credits - Semester 4
RequiredMP237: Mechanics II - 5 Credits - Semester 4
RequiredST2004: Statistical Inference - 5 Credits - Semester 4
Curriculum Information
Curriculum information relates to the current academic year (in most cases).Course and module offerings and details may be subject to change.
Glossary of Terms
- Credits
- You must earn a defined number of credits (aka ECTS) to complete each year of your course. You do this by taking all of its required modules as well as the correct number of optional modules to obtain that year's total number of credits.
- Module
- An examinable portion of a subject or course, for which you attend lectures and/or tutorials and carry out assignments. E.g. Algebra and Calculus could be modules within the subject Mathematics. Each module has a unique module code eg. MA140.
- Subject
- Some courses allow you to choose subjects, where related modules are grouped together. Subjects have their own required number of credits, so you must take all that subject's required modules and may also need to obtain the remainder of the subject's total credits by choosing from its available optional modules.
- Optional
- A module you may choose to study.
- Required
- A module that you must study if you choose this course (or subject).
- Required Core Subject
- A subject you must study because it's integral to that course.
- Semester
- Most courses have 2 semesters (aka terms) per year, so a three-year course will have six semesters in total. For clarity, this page will refer to the first semester of year 2 as 'Semester 3'.
Year 3 (60 Credits)
OptionalMA215: Mathematical Molecular Biology I - 5 Credits - Semester 5OptionalPH222: Astrophysical Concepts - 5 Credits - Semester 5
OptionalMA341: Metric Spaces - 5 Credits - Semester 5
OptionalMA385: Numerical Analysis I - 5 Credits - Semester 5
OptionalMP345: Mathematical Methods I - 5 Credits - Semester 5
OptionalPH328: Physics of the Environment I - 5 Credits - Semester 5
OptionalST313: Applied Regression Models - 5 Credits - Semester 5
OptionalCT511: Databases - 5 Credits - Semester 5
OptionalMA3101: Euclidean and Non-Euclidean Geometry - 5 Credits - Semester 5
OptionalMA2286: Differential Forms - 5 Credits - Semester 5
OptionalMA3343: Groups - 5 Credits - Semester 5
OptionalCS3304: Logic - 5 Credits - Semester 5
OptionalMP305: Modelling I - 5 Credits - Semester 5
OptionalCT3535: Object Oriented Programming III - 5 Credits - Semester 5
OptionalMP231: Mathematical Methods I - 5 Credits - Semester 5
OptionalPH341: Measurement of Health Hazards at Work - 5 Credits - Semester 5
OptionalMA3991: Actuarial mathematics: Cashflow models - 5 Credits - Semester 5
OptionalMP366: Electromagnetism - 5 Credits - Semester 5
OptionalMP494: Partial Differential Equations - 5 Credits - Semester 5
OptionalMA216: Mathematical Molecular Biology II - 5 Credits - Semester 6
OptionalPH329: Physics of the Environment II - 5 Credits - Semester 6
OptionalCT411: Multi-Media Development - 5 Credits - Semester 6
OptionalCS319: Scientific Computing - 5 Credits - Semester 6
OptionalMP491: Non Linear Systems - 5 Credits - Semester 6
OptionalMA342: Topology - 5 Credits - Semester 6
OptionalMA378: Numerical Analysis II - 5 Credits - Semester 6
OptionalMP346: Mathematical Methods II - 5 Credits - Semester 6
OptionalPH362: Stellar Astrophysics - 5 Credits - Semester 6
OptionalCT2108: Networks and Data Communications 1 - 5 Credits - Semester 6
OptionalMA2287: Complex Analysis - 5 Credits - Semester 6
OptionalMA3491: Fields and Applications - 5 Credits - Semester 6
OptionalMP307: Modelling II - 5 Credits - Semester 6
OptionalMP232: Mathematical Methods II - 5 Credits - Semester 6
OptionalST4120: Causal Inference - 5 Credits - Semester 6
OptionalMP365: Fluid Mechanics - 5 Credits - Semester 6
Year 4 (60 Credits)
OptionalMP305: Modelling I - 5 Credits - Semester 7OptionalMA385: Numerical Analysis I - 5 Credits - Semester 7
OptionalMA416: Rings - 5 Credits - Semester 7
OptionalMA490: Measure Theory - 5 Credits - Semester 7
OptionalMA437: Introduction to Mathematical Research Topics I - 5 Credits - Semester 7
OptionalMA3101: Euclidean and Non-Euclidean Geometry - 5 Credits - Semester 7
OptionalCS3304: Logic - 5 Credits - Semester 7
OptionalCT318: Human Computer Interaction - 5 Credits - Semester 7
OptionalMP403: Cosmology And General Relativity - 5 Credits - Semester 7
OptionalCT4101: Machine Learning - 5 Credits - Semester 7
OptionalST417: Introduction to Bayesian Modelling - 5 Credits - Semester 7
OptionalMA4102: Algebraic Foundations of Quantum Computing - 5 Credits - Semester 7
OptionalCS4102: Geometric Foundations of Data Analysis I - 5 Credits - Semester 7
OptionalST413: Statistical Modelling - 5 Credits - Semester 7
OptionalMP494: Partial Differential Equations - 5 Credits - Semester 7
OptionalMP366: Electromagnetism - 5 Credits - Semester 7
OptionalMA3992: Actuarial mathematics: Life contingencies 1, pricing and reserving - 5 Credits - Semester 7
OptionalCT4109: Image Processing and Computer Vision - 5 Credits - Semester 7
RequiredMM4000: Final Year Project - 10 Credits - Semester 7
OptionalMA495: Actuarial Mathematics: Life Contingencies II - 5 Credits - Semester 8
OptionalMA378: Numerical Analysis II - 5 Credits - Semester 8
OptionalMP307: Modelling II - 5 Credits - Semester 8
OptionalMA418: Differential Equations With Financial Derivatives - 5 Credits - Semester 8
OptionalMA482: Functional Analysis - 5 Credits - Semester 8
OptionalMA438: Introduction to Mathematical Research Topics II - 5 Credits - Semester 8
OptionalCT548: Object Oriented Software Design & Development - 5 Credits - Semester 8
OptionalCS319: Scientific Computing - 5 Credits - Semester 8
OptionalCS402: Cryptography - 5 Credits - Semester 8
OptionalMA3491: Fields and Applications - 5 Credits - Semester 8
OptionalCS4423: Networks - 5 Credits - Semester 8
OptionalMA4344: Advanced Group Theory - 5 Credits - Semester 8
OptionalCS4103: Geometric Foundations of Data Analysis II - 5 Credits - Semester 8
OptionalMP491: Non Linear Systems - 5 Credits - Semester 8
OptionalST4120: Causal Inference - 5 Credits - Semester 8
OptionalST4140: Modern Statistical Methods - 5 Credits - Semester 8
OptionalMP365: Fluid Mechanics - 5 Credits - Semester 8
- Remarkably flexible program of study.
- Develops problem-solving, numeracy and statistical skills highly sought after by employers.
- Equips graduates with a strong foundation for further academic study in the mathematical sciences.
Previous graduates have entered diverse careers spanning the public and private sectors, as well as education.
The reasoning skills and problem-solving abilities of Mathematical Science graduates are highly valued and the career opportunities are diverse, both in the public and private sectors.
Many graduates are employed in the financial and actuarial services, while others are working in the IT industry, particularly in programming and software development. Others work in the pharmaceutical industry, doing clinical research, and in secondary and tertiary education, and the civil service.
Employers often seek graduates who possess a strong set of transferable skills rather than in-depth knowledge of a specific industry. Key among these are problem-solving, critical thinking, statistical skills, programming,
and numeracy. A degree in Mathematical Sciences equips students with these valuable skills, something employers recognize and value.
Graduates have a broad range of options for postgraduate work available to them. Opportunities include MSc or PhD programmes at University of Galway and further afield in all areas of the Mathematical Sciences. Interdisciplinary research options are also available.
In year three of the programme, students have the option to apply to study abroad in Semester 2. The University has established numerous links with University throughout North America, Europe, and Asia. More information can be found the following link Study Abroad - University of Galway
The basic unit of teaching activity is the module. Most modules account for 5 credits (ECTS) and involve 24 lectures, with weekly tutorials and possibly laboratory sessions in addition. The usual format of delivery for a 5-credit module is that lectures are prepared and given by a member of academic staff, who also has overall responsibility for assessment and for the management and running of the module, including communication of essential information to students and responding to queries.
How Will I Learn?
- Lectures — Each module typically has 2 lectures per week for a period of 12 weeks delivered by a member of academic staff.
- Tutorials — Lectures are typically supplemented by 1 tutorial per week. The tutorials frequently involve problem-solving sessions and are often overseen by postgraduate students.
- Computer Practicals — Some modules, particularly those involving computer programming, have computer practical sessions. They are typically supervised by academic staff or postgraduate students.
- Project-based learning —Examples include the creation of short videos, poster exhibitions, and debating competitions. In the final year, students complete a substantial written mathematical project under the supervision of an academic member of staff.
- Technology-Enhanced Learning—Some modules incorporate technologies such as live polling, videos, and interactive computing in their lectures.
Timetables can be found at the following link SchoolMaster
How Will I Be Assessed?
- Continuous Assessment— All modules in the programme contain a continuous assessment component, which typically accounts for about 30% of the overall marks. Continuous assessments can take the form of in-class tests, home works, online quizzes, posters, or statistical reports.
- Examinations— Written formal exams take place before Christmas and in May. They typically account for between 60 and 70% of the overall marks for a module.
- Project Work—In year four, students complete a written mathematical report that accounts for two modules.
Programme Director:
Dr Martin Meere
Lecturer
School of Mathematical and Statistical Sciences
College of Science and Engineering,
E: martin.meere@universityofgalway.ie
T: 091 493087
Accreditations & Awards
Meet our Employers
Entry Requirements and Fees
Minimum Entry Requirements
Minimum Grade H5 in two subjects and passes in four other subjects at O6/H7 Level in the Leaving Certificate, including Irish, English, Mathematics, and any three other subjects recognised for entry purposes. Additional requirements: Minimum O1 or H5 in Mathematics.
Additional Requirements
Students must obtain a minimum of Grade O1 in Ordinary Level or H5 in the Higher Level Leaving Certificate paper in Mathematics.
Alternative Pathways
The Access Centre at University of Galway provides a number of alternative entry routes to undergraduate programmes. See below some useful links:
Other Qualifications
If you are a school leaver presenting results other than Leaving Cert results, please review the entry requirements relevant to you:
For applicants whose first language is not English, it is important to check our English Language Requirements.
Admissions Office
Our Admissions Office provides additional detail relevant to CAO applicants including key dates, FAQs and instructions for non-school leavers.
Irish and European (EU/EFTA/UK) Applicants
Apply via the CAO. See the CAO Handbook for useful information on applying through the CAO.
Mature Applicants
Apply via the CAO by 1 February. To apply for a place as a mature student, you must be 23 years of age on or before 1 January of the year of entry. Further information available here.
QQI/FET/FETAC Applicants
Apply via the CAO. See our QQI/FET/FETAC Applicants page for information on places available and entry requirements,
Fees for Academic Year 2025/2026
Course Type | Year | EU Tuition | Student Contribution | Non-EU Tuition | Levy | Total Fee | Total EU Fee | Total Non-EU Fee |
---|---|---|---|---|---|---|---|---|
All | €4,268 | €3,000 | €27,000 | €140 | €3,140 | €7,408 | €27,140 |
- Most EU students applying through the CAO will be eligible for the ‘Free Fees Initiative’. You can find out more here.
- If you are eligible for a means tested SUSI grant this may cover 100% of this Student Contribution Charge. If you are 100% eligible SUSI will pay the Student Contribution Charge of €3,000 on your behalf.
- The Student Levy It is payable by all students and it is not covered by SUSI
- Where the course duration is greater than 1 year, there is an inflationary increase approved of 3.4% per annum for continuing year fees. This applies to non-EU fees.
- You can find additional detail on the Fees Office webpage including FAQs and how fee status is assessed.
High-achieving undergraduate students are encouraged to apply for a range of prestigious scholarships that recognise academic excellence and support students in reaching their full potential. Click here for further Information.
Application Process
Students applying for full undergraduate degree programmes from outside of the European Union (EU), and who are liable for full non-EU tuition fees, should apply to University of Galway. Our application portal opens on the 1st October each year for each the following September.
Further Information
Please visit the international application webpage for further information on closing dates, documentation requirements, application fees and the application process.
Scholarships
Non EU students applying for programmes within the School of Mathematical and Statistical Sciences maybe eligible to apply for a number of scholarships including our Merit and Excellence Scholarships. For further information please visit here.
Why University of Galway?
World renowned research led university nestled in the vibrant heart of Galway city on Ireland's scenic West Coast.
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Meet Our Alumni
Course Introduction
This honours degree programme provides students with a solid foundation in Mathematical Science, encompassing all aspects of mathematics and its applications. Students will have the opportunity to specialise in particular areas, for example in pure mathematics, applied mathematics, financial mathematics, computer science, statistics or bioinformatics.
Brochure for Mathematical Science