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About University of Galway
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Applied Mathematics (HDipAppSc)
This Higher Diploma in Applied Mathematics programme is aimed at you if you have a background in Applied Mathematics or Mathematics, equivalent to a Level 7 degree, and you wish to improve your knowledge of these areas.
The programme seeks to further develop your ability in applying mathematical tools to address real-world problems. The problems investigated arise in Physics, Chemistry, Biology, Economics, Computer Science, Engineering, Mechanics, Social Sciences and many others fields.
Applications and Selections
Applications are made online via the University of Galway Postgraduate Applications System. Selection is based on the candidate's academic record at undergraduate level and their aptitude for the course.
Who Teaches this Course
Requirements and Assessment
Assessment is by continuous assessment, examination and project work.
The entry requirement is a 2:1 or 2.2 degree (NQAI Level 7) in Applied Mathematics, Mathematics or Applied Mathematical Science at general degree level, or an equivalent, to be determined by the College of Science and Engineering.
Recognition of Prior Learning (RPL)
1 year, full-time
Next start date
A Level Grades ()
QQI/FET FETAC Entry Routes
To be advised.
Mode of study
You will get the opportunity to develop your skills in different areas of Mathematics, Applied Mathematics, Statistics, Numerical Analysis and Mathematical Modelling by taking advanced level courses. Each semester, you will study five courses chosen from a catalogue of appropriate courses. You will also undertake a supervised project, working in collaboration with a member of staff, where you will be trained in various research techniques and gain an insight into some current areas of Applied Mathematics research. At the end of this programme, you will have an equivalent level of knowledge and experience as a student who has completed a BSc (Hons) degree in Applied Mathematics.
Curriculum InformationCurriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.
Glossary of Terms
- 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.
- 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.
- 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.
- A module you may choose to study.
- 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.
- 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)Optional MP403: Cosmology And General Relativity - 5 Credits - Semester 1
Optional MA385: Numerical Analysis I - 5 Credits - Semester 1
Optional ST311: Applied Statistics I - 5 Credits - Semester 1
Optional ST2001: Statistics for Data Science 1 - 5 Credits - Semester 1
Optional MP305: Modelling I - 5 Credits - Semester 1
Optional MP345: Mathematical Methods I - 5 Credits - Semester 1
Required MP366: Electromagnetism - 5 Credits - Semester 1
Required MP494: Partial Differential Equations - 5 Credits - Semester 1
Optional MP410: Non-Linear Elasticity - 5 Credits - Semester 1
Optional MP356: Quantum Mechanics I - 5 Credits - Semester 1
Optional MA283: Linear Algebra - 5 Credits - Semester 2
Optional MA334: Geometry - 5 Credits - Semester 2
Optional MA378: Numerical Analysis II - 5 Credits - Semester 2
Optional ST312: Applied Statistics II - 5 Credits - Semester 2
Optional ST2002: Statistics for Data Science 2 - 5 Credits - Semester 2
Optional MP346: Mathematical Methods II - 5 Credits - Semester 2
Optional MP307: Modelling II - 5 Credits - Semester 2
Required MP420: Applied Mathematics Project - 10 Credits - Semester 2
Required MP491: Non Linear Systems - 5 Credits - Semester 2
Required MP365: Fluid Mechanics - 5 Credits - Semester 2
Optional MP357: Quantum Mechanics II - 5 Credits - Semester 2
Why Choose This Course?
Skills acquired through the study of Applied Mathematics—the ability to develop mathematical models and to apply them in a practical setting—will prove to be extremely useful and will be highly valued by an employer. Graduates in Applied Mathematics have found employment in Met Éireann, the Central Statistics Office, telecommunications, the computer industry, financial and actuarial institutions, industrial research and development, teaching and research institutes, or have moved on to further postgraduate studies.
Who’s Suited to This Course
Transferable Skills Employers Value
Related Student Organisations
Fees: Student levy
Fees: Non EU
Find out More
Dr Martin Meere
T: +353 91 493 087