Graduates of the program are extremely flexible and can apply advanced mathematical techniques and mathematical problem-solving approaches to a wide variety of career problems in a wide range of job sectors.
In particular, graduates of this program have enhanced technical and scientific capabilities, analytical and problem-solving skills, and are well equipped for high-level careers in industry, commerce, the professions, and the public sector. For example, graduates are well suited to careers in finance, information and communication technology, data analytics, the public sector, and teaching.
Applied mathematics is a research strength of the Faculty of Mathematical Sciences and there are also opportunities for graduates to do further research at the University of Dublin or elsewhere.
The MSc Applied Mathematics program comprises ten taught modules (each of one semester cumulative in length over two semesters full-time or four semesters part-time) followed by a dissertation (studied over one semester full-time or four semesters part-time) . The program comprises a student workload of 90 ECTS credits and the project contributes 25 ECTS credits. All modules are core and learning is supported by the use of software, group learning, supported hands-on sessions, seminars, and the student library and study facilities.
Graduate Diploma (60 ECTS credits) and Graduate Certificate (30 ECTS credits) graduation awards are available.
The following topics are covered in the taught modules:
- Methods of applied mathematics
- Modern applied statistical modeling
- Algorithms and approximation theory
- Mathematical model
- Classical mechanics and thermodynamics
- Special relativity and tensor calculus
- Numerical methods for differential equations
- Math Lab
- Research skills
The project is a substantial piece of written academic work and will normally be based on a topic closely related to the modules of the program and may include an extensive review of the literature. The Research Skills module provides excellent preparation for the project module and students are supported in this module by an assigned academic supervisor and her peers. Evaluation
The modules taught are assessed through a combination of written tests and continuous assessment that are conducted throughout the semester. Some modules may also involve practical tasks. The evaluation of the project module is based on written work, comments and participation during the module and a live exam.
The exams for the Semester 1 modules take place in May and the exams for the Semester II modules take place in January. The reassessment takes place in August. Students must attend the Institute and be available for exams.
Applicants will require a baccalaureate degree officially translated into English, proof of suitability and interview.
Students wishing to enroll normally must possess a minimum of the equivalent of an honors degree (level 8 on the NFQ) in mathematics, science, engineering, or other numerical discipline at Grade 2.2 or higher, where mathematics was studied as a significant component for about three years.
Applicants’ relevance and mathematical content of a primary degree and other experience will be evaluated by the admissions team for the program whose decision is final. Meeting the minimum entry requirements does not guarantee entry into the program and all candidates will be evaluated against entry criteria, in the context of available places in the program, for prior learning and ability to be successful.
If English is not your first language, you will need to provide evidence of your proficiency in the English language as detailed on our website. Applicants for this program must have a minimum IELTS English proficiency (academic version) of 6 overall (or equivalent) with no less than 6 in each component.
* Please note that these are general guidelines. Meeting the minimum entry requirements does not guarantee entry to any course.