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During this programme, you will:  

• Apply mathematical theory to real-world problems across industry, medicine, and the sciences. 

• Engage with cutting-edge applied mathematics research through MACSI-led projects. 

• Prepare for interdisciplinary careers or advanced academic research in mathematical modelling. 

• Build mathematical models for environmental, biological and physiological systems. 

Key information: 

• Complete full-time in one year  

• Option to complete part-time over two years after consultation with the Course Director 

• Delivered on campus  

• Modules taught during autumn and spring semesters  

• Submit research project by mid August which may focus on problems that arise through MACSI’s connections with industry 

• Full-time students take 2 core modules and 3 elective modules in the autumn semester and 3 core modules and 2 elective modules in the spring semester  

You will learn through a blend of:  

• Lectures, workshops, and hands-on activities  

• Reflective practice and guided research  

• Regular feedback from faculty and peers  

Year 1 

Autumn Semester 

Core modules:  

• provides a review of advanced methods to analyse, evaluate and solve problems. 

• introduces numerical techniques and high-level programming skills that enable students to employ computational techniques in other fields of science and engineering 

Electives – choose 3:  

Spring Semester 

Core modules:  

• enables students to apply advanced methods to solve partial differential equations. 

• enables students to build mathematical models for environmental systems. 

• enables students to build mathematical models for biological and physiological systems. 

Electives – choose 2 

Summer Semester 

• synthesises major concepts and ideas encountered in earlier taught modules in a substantial document, written to a professional standard. 

Books and journal articles needed for the course will be available online through the UL Glucksman Library.  

For more information on each module, you can search the faculty, school and module code on UL’s  

• Applicants should hold a bachelor’s degree ( Level 8) with at least a second-class honour, grade 2 (2:2) in mathematics or a  related numerate discipline. 

International students:   

• For details on country-specific qualifications visit postgraduate entry requirements for international students. 

Checklist of documents:  

• *Academic transcripts and certificates
  • UL graduates only need to provide their student ID.
• Copy of your birth certificate or passport
• English translation of your qualifications and transcripts
• Personal statement
• Two written academic references 

  English Language: 

• English Language Competency certificate
• For details on accepted language qualifications visit English Language Requirements 

Guidelines on Completing your Application   

• To make sure we can review your application quickly, please:
  • Upload all documents. Your application can’t be reviewed until we have all the documents on the checklist. 
  • Title the documents you are uploading. For example, "Personal Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc. 
• *If you are waiting to graduate, submit your application with the documents you have to date, you don’t need to have finished final exams before applying. 

EU - €8,200

Non-EU - €20,800

Annual fees are billed by semester. Once registered, students may be eligible to apply for a monthly payment plan.  

Further information on fees and payment of fees is available from the Student Fees Office website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie). 

 
Funding 

Find further information on funding and scholarships.

This course can lead to the following sectors and careers:  

• Financial services
• Information and communication technologies
• Engineering
• Scientific research
• Data analysis
• Research and development
• Mathematics education 

Still Curious?  

The team regularly host and take part in webinars to support future students. If you would like to learn more or ask questions at an online information session, click below.     

Online Information Sessions 

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Mark Sorohan, MSC Mathematical Modelling.  

“The programme helped me master the skills needed to effectively use tools for solving complex mathematical problems.”