¾ÅÉ«ÊÓÆµ

Key Info

Bachelor of Science in Mathematical Sciences

NFQ Level 8 major Award Honours Bachelor Degree

Entry route(s):

Course code
LM124
Duration
4 Years
Subject area
Science
Course Director
Dr Alan Hegarty
Email
alan.hegarty@ul.ie
Tel
00 353 61 202291
Admissions:
Tel
+353 (0)61 233755

If you like mathematics and statistics but you aren’t totally certain what career you want to pursue, this might be a good course choice for you. Mathematical and statistical skills are highly valued by employers and are easily transferable. Mathematical Sciences, with its three options, is the perfect way to study something you like, while having a chance to think about your eventual career choice.

Why Study Mathematical Sciences ¾ÅÉ«ÊÓÆµ?

The programme is suited to students with an aptitude for mathematics and statistics who are interested in applying their skills to problem solving in the real world. It is designed to provide a broad training that will allow you to work in any environment that requires strong analytical and problem solving skills. The programme involves an introductory two years, common to all students, when the fundamental mathematical and statistical tools are introduced. After two years, you will have the option of specialising in mathematics or statistical data science. The programme also provides a theoretical grounding for students who wish to pursue postgraduate studies.

Entry route to Mathematical Sciences ¾ÅÉ«ÊÓÆµ is via LM124 Mathematics Common Entry.

Learn more about our courses and upcoming events

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What you will study

The programme is full time, of four years in duration. It includes a period of Cooperative Education during the spring and summer of the third year of the course where the skills that you have acquired are applied in an appropriate workplace. The first two years of the course provide a foundation in a broad range of areas including calculus, statistics, linear algebra, mechanics, computer science and mathematical modelling.

There is also an elective pair of modules in the first year in either (a) Computer Science or (b) Economics or (c) Finance/Accounting or (d) Physics.

The third and fourth years of the programme give you the opportunity to specialise in one of the following options:

Mathematics

The mathematics stream is aimed at giving you a rounded appreciation of mathematics and the ability to approach problem solving with a mathematical mind. It develops the analytical skills acquired in the first two years using mathematical modelling of real world problems. Topics covered include linear algebra, fluid mechanics, dynamical systems, mathematical modelling and numerical solution of partial differential equations, perturbation methods, stochastic differential equations.

Statistical Data Science 

The statistical data science stream aims to develop strong statistical, data modelling and programming skills to support the increasing need for graduates with these key skillsets. Application areas include marketing, product development and testing, finance, economics, sociology, medicine, and sports science. Topics covered range from the mathematical basis of statistics through to the use of specialised software in the analysis of large, complex sets of data. The modules include statistical inference, statistical modelling, experimental design, time series analysis, big data analytics and multivariate analysis. 

You will undertake a project in your final year that reflects your area of specialisation and, if possible, your Cooperative Education experience.

In Years 2, 3 or 4, students can apply to spend a semester studying abroad at one of our partner institutes worldwide.

 Semester 1 Semester 2
MS4021MS4022
MS4131MS4122
CE4701MS4222
 Choose 2:CE4702
MS4101 Choose 1:
AC4213AC4214
EC4111EC4112
PH4051CS4182
PH4131PH4102
CS4221  

 

 Semester 3 Semester 4
MS4043MS4014
MS4035MS4034
MS4403MS4303
MS4613MS4404
 Chose one:MS4414
CS4013  
MB4005  

 

Semester 5TitleSemester 6Title
MA4617 Cooperative Education
MS4008  
MS4045  
MS4105  
    
 Elective - Choose 1  
CS4416  
MS4215  
MS4217  
MB4017  

 

Semester 7TitleSemester 8Title
MS4407MS4018
MS4627MS4408
    
 Elective - choose 1 Elective - Choose 1
MS4417MS4418
MS4037MS4038
    
 Elective - Choose 2 Elective - Choose 2
CS4178CS4115
MS4027MS4028
MS4117MS4218
  MS4327
  MS4528
Semester 5TitleSemester 6Title
MS4105 

 Cooperative Education
MS4214  
MS4215  
MS4217  
 

One from:

  
MA4617  
MS4008

  
MB4017   
CS4416  

 

Semester 7TitleSemester 8Title
MS4037  

MS4038
MA4007MA4128
  MS4218
 Elective - choose 3 Elective - Choose 2
MS4045 MS4018
MS4117MS4028

MA4617MS4327
MS4027MS4528
  CS4168

Entry requirements

Additional considerations

Please refer to the entry requirements for

LM124 - Mathematics (Common Entry)

Non-EU Entry Requirements

How to apply

Where are you applying from?How to Apply
IrelandIrish students must apply to UL via the CAO. More information can be found here. 
The UK Students who have completed their A-Levels can apply to UL via the CAO. More information can be found on the Academic Registry website. 
The EUEU Students can apply to UL via the CAO. More information can be found on the Academic Registry website.
Non-EU country

Fees and funding

Student course fees are broken into three components - Student contribution, Student Levy and Tuition Fees.

A number of illustrative examples of fees for this course based on the current fee levels have been set out in the tables below.

An explanation of the components, how to determine status and the criteria involved is provided below the examples as is a list of possible scholarships and funding available.

EU Students with Free fees status in receipt of a SUSI grant

HEA pays Tuition Fees €4,262
SUSI pays Student contribution €3,000
Student pays Student Levy €102
Total €7,364

EU Students with Free fees status not in receipt of a grant

HEA pays Tuition Fees €4,262
Student pays Student contribution €3,000
Student pays Student Levy €102
Total €7,364

Students with EU fee status not in receipt of a grant

Student pays Tuition Fees €4,262
Student pays Student contribution €3,000
Student pays Student Levy €102
Total €7,364

Non-EU Students

Student pays Tuition Fees €21,798
Student pays Student Levy €102
Total €21,900

Student course fees are comprised of the following components:

Student Contribution

Annual charge set by the government for all full-time third level students. All students are liable unless they have been approved for a grant by (SUSI). Please refer to https://www.studentfinance.ie to determine your eligibility for a grant and for instructions on how to apply. The current student contribution is set at €3000.

Student Levy

All students are liable to pay the Student Levy of €102. Please note the Student Levy is not covered by the SUSI Grant.

Tuition Fees

These are based on Residency, Citizenship, Course requirements.

Review the three groups of criteria to determine your fee status as follows

  1. Residency
    • You must have been living in an EU/EEA member state or Switzerland for at least 3 of the 5 years before starting your course
  2. Citizenship
    • You must be a citizen of an EU/EEA member state or Switzerland or have official refugee status
  3. Course Requirements (all must be met)
    • You must be a first time full-time undergraduate (Exceptions are provided for students who hold a Level 6 or Level 7 qualification and are progressing to a Level 8 course in the same general area of study).
    • You must be undertaking a full-time undergraduate course of at least 2 years' duration
    • You cannot be undertaking a repeat year of study at the same level unless evidence of exceptional circumstances eg serious illness is provided (in which case this condition may be waived)

Depending on how you meet these criteria your status will be one of the following -

  • Free Fee Status: You satisfy all three categories (1, 2 and 3) and therefore are eligible for the .
  • EU Fee Status: You satisfy both the citizenship and residency criteria but fail to satisfy the course requirements and are liable to EU fees.
  • Non EU Fee Status: You do not meet either the citizenship or residency criteria and are therefore liable to Non EU fees.

More information about fees can be found on the Finance website

Scholarships

These scholarships are available for this course

These scholarships are available for all courses

Your future career

Employability skills from this degree

  • Designing and conducting observational and experimental studies
  • Analysing and interpreting data, finding patterns and drawing conclusions
  • Approaching problems in an analytical and rigorous way, formulating theories and applying them to solve problems
  • Dealing with abstract concepts
  • IT skills
  • Advanced numeracy and analysing large quantities of data
  • Logical thinking

Further Study Options

Job titles for graduates with this degree

Graduates progressing directly into employment take up a wide variety of roles. The following provides a sample of initial roles listed on the Graduate Outcomes Survey by graduates approximately one year after graduation:

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

Student Profiles

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Sarah Murphy

I chose UL for this course, but also because I’d never met a UL student who didn’t seem to love their time here. Maths and applied maths were my favourite subjects in school and this course seemed liked the perfect way to pursue those interests. For the first two years, you will establish a strong base in mathematics and statistics before specialising in your area of choice. In third year, you start to focus on your chosen specialty and then everyone goes on co-op placement. In your final year, you have the chance to pick a final year project in a topic that interests you.

This course has allowed me to develop essential skills needed to be a mathematician while also giving me the chance to apply them in a working environment. I completed my co-op placement in Analog Devices in Limerick, one of the leading semi-conductor companies in the world. I worked as a part of the New Product Engineering team that specialised in data analytics. My job involved the statistical analysis of data from different stages of testing and gave me the opportunity to apply the skills I had learned in college to the real world. My communication skills, presentation skills and my ability to work effectively as part of a team were vastly improved during my co-op experience.

I think one of the great advantages of studying Mathematical Sciences ¾ÅÉ«ÊÓÆµ is that it opens up a broad range of career paths. The course doesn’t tie you down to one profession but instead gives you the essential mathematical skills that are in demand in every sector.


 

Colm Howlin

I really enjoyed Maths in school, so I decided to continue with it at University. I visited several campuses before my making my decision on which University to choose. UL had by far the most impressive campus which made the decision easy.

As Principal Researcher at Realizeit, I lead the analytics and research efforts. Realizeit is an adaptive learning company that has created a platform to deliver personalised learning online to students. The platform uses data to figure out what works best for individual students and uses that to personalise and adapt the delivery of learning material.

I work on the development and deployment of the algorithms that are used by the system to personalise the learning experience. This ranges from algorithms that estimate the difficulty of a question to algorithms that automatically detect when a student is bored. I also work with several Universities to help them understand the impact of adaptive learning on how their students learn. My role, as with most in the tech sector, predominately involves problem-solving. The course not only provided me with the foundations in the tools that I would rely on in my career but more importantly, helped me develop my problem-solving skills.

Any advice for school leavers?

Study what you think you will enjoy, and you’ll set yourself up to have a far more successful and happier career than forcing yourself to study something that is supposed to lead to a good job or career.


 

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Kevin Brosnan

Throughout second level education numeracy based courses, maths and accounting, were my strongest - and not knowing what I could do with that my intention was always to become a second level maths teacher. After being encouraged by my maths teacher I looked at maths courses across Irish universities, and chose UL after speaking to a number of students on the course and after visiting the amazing campus.

The first two years formed a basis of maths, statistics and computing, but it was the third year which changed my career trajectory. My co-op placement was with Accenture Analytics in Dublin working with large enterprises to identify and prevent fraud using statistics and data, a field we now commonly call Data Science. After my co-op placement I was gripped by the thought of using statistics and computing to prevent fraud and risk. I finished my final year and then enrolled for a PhD ¾ÅÉ«ÊÓÆµ - during which time I investigated cheating in elite athletics and worked with a company developing fraud detection tooling in the Motor Insurance Space.

After finishing my PhD, I moved into the financial services space, and have worked with two global payment processors designing statistical and machine learning systems which detect, prevent and manage payment fraud in real-time - every transaction you do is scanned through a statistical model to evaluate the likelihood of the transaction being fraudulent in milliseconds!

Today I work on strategic risk management and product development, where I use my knowledge of fraud and risk, as well as mathematics and statistics, to protect companies and consumers from sophisticated fraud attacks. While I don’t write algorithms, or solve difficult equations, my background in logical thinking and understanding of data is essential to risk, design and strategic decisions I make every day.