Course Name 
Mathematics & Statistics  Mathematical Studies 
Course Provider 
University College Dublin 
Course Code 
T172 T173 
Course Type 
Postgraduate 
Qualifications 
Award Name  NFQ Classification  Awarding Body  NFQ Level 
Higher Diploma (Level 8 NFQ)
More info...

Major 
National University of Ireland 
Level 8 NFQ 

Apply To 
Course provider 
Attendance Options 
Full time, Part time, Daytime 
Location (Districts) 
Belfield 
Qualification Letters 
HDip 
Enrolment and Start Dates Comment 
Next Intake:2022/2023 September 
Application Date 
How to apply?
The following entry routes are available:
HDip Mathematical Studies FT (T172)
Duration 1 Years
Attendance Full Time
Deadline Rolling *
HDip Mathematical Studies PT (T173)
Duration 2 Years
Attendance Part Time
Deadline Rolling *
* Courses will remain open until such time as all places have been filled, therefore early application is advised 
Application Weblink 
Web Page  Click Here 
Duration 
Duration: 1 Years fulltime, 2 Years Part Time 
Course Fee 
HDip Mathematical Studies (T172) Full Time
EU fee per year  € 7500
nonEU fee per year  € 13630
HDip Mathematical Studies (T173) Part Time
EU fee per year  € 4320
nonEU fee per year  € 8800
***Fees are subject to change
Tuition fee information is available on the UCD Fees website 
Link to Course Fee 
Web Page  Click Here 
Financial Support 
Please note that UCD offers a number of graduate scholarships for fulltime, selffunding international students, holding an offer of a place on a UCD graduate degree programme. For further information please see International Scholarships. 
Entry Requirements 
This programme is intended for applicants who hold a lower upper second class honours or higher undergraduate degree with at least 10 credits of universitylevel mathematics, including a course in calculus and a course in linear algebra.
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent. 
Course Content 
Expand+Graduate Taught (level 8 nfq, credits 60)
The HDip Mathematical Studies is for those interested in furthering their study of mathematics, starting from a small exposure to universitylevel mathematics. It contains a mix of modules on topics includ...
HideGraduate Taught (level 8 nfq, credits 60)
The HDip Mathematical Studies is for those interested in furthering their study of mathematics, starting from a small exposure to universitylevel mathematics. It contains a mix of modules on topics including algebra, analysis, geometry, history of mathematics and applicable mathematics.
This programme is for you if you have a passion for mathematics, for problem solving and for deep understanding of the structures which underlie much of everyday experience.
The programme covers the mathematics necessary to qualify the student to teach mathematics to Leaving Certificate level when combined with a Professional Master of Education (PME).
Foundation for more advanced study of mathematics
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No
The programme is intended for those graduates who have studied a certain amount of mathematics in their degree and would like to deepen their knowledge of mathematics. The programme may be of particular benefit to teachers or potential teachers who would like to include mathematics among the subjects that they are eligible to teach at Leaving Certificate Level.
Vision & Values Statement
The programme is intended for those graduates who have studied a certain amount of mathematics in their degree and would like to deepen their knowledge of mathematics. The programme may be of particular benefit to teachers or potential teachers who would like to include mathematics among the subjects that they are eligible to teach at Leaving Certificate Level. The programme will give students the opportunity to gain a deep understanding of the concepts of modern mathematics, and a mastery of the associated skills and technologies. We expect our students to become autonomous inquisitive learners capable of formulating and creatively solving relevant problems in the language of mathematics. Our graduates will be in demand by employers and academic research institutes for their ability to use the tools they have learned to explain, describe and predict. We value students who are motivated to find the underlying mathematical causes and reasons for observations and patterns. We aim to provide a teaching and learning environment that develops confidence and independence through a wide variety of interactive formats, both inside and outside the classroom.
Programme Outcomes
Analyze and interpret data, find patterns and draw conclusions
Apply mathematical reasoning and techniques to formulate and solve problems
Approach problems in an analytical, precise and rigorous way
Demonstrate an indepth understanding of mathematics and its applications
Explore and manipulate abstract concepts
Give oral presentations of technical mathematical material at a level appropriate for the audience
Model realworld problems in a mathematical framework
Use the language of logic to reason correctly and make deductions
Use the power of modern technology to augment mathematical and statistical problem solving
Work independently and as part of a team

Subjects Taught 
Expand+Stage 1 Core
Theory of Games MATH20270
Cryptography: Theory & Practice MATH30250
Algebraic Structures MST20010
Analysis MST20040
Linear Algebra IIMST20050
Multivariable Calculus with Applications MST20070
Differential Equations MST30040
Compl...
HideStage 1 Core
Theory of Games MATH20270
Cryptography: Theory & Practice MATH30250
Algebraic Structures MST20010
Analysis MST20040
Linear Algebra IIMST20050
Multivariable Calculus with Applications MST20070
Differential Equations MST30040
Complex Analysis MST30050
Geometry MST30070
Stage 1  Option
Graphs and Networks MATH20150
Collaborative Pedagogy in Mathematics Education MATH30320
History of Mathematics MST30020
Practical Statistics STAT10050
Statistical Modelling STAT10060
Data Modelling for Science STAT20070

Number of Credits 
60 
Careers or Further Progression 
Careers & Employability
Graduates from our degree programmes have skills that are relatively rare and are therefore in high demand. They have a wide variety of career opportunities. Those who decide to become teachers have the accreditation necessary to teach Mathematics in schools.
Some more examples:
Basic Research in Industry or Academia
Applied Research in Industry or Academia
Accounting and Finance
Mathematical Modelling
Coding and Cryptography 
Further Enquiries 
Contact Number:+353 (0)1 716 2580 
Course Web Page 
Web Page  Click Here 
International Students 
Web Page  Click Here 