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Mathematics×

University College Dublin, Full Time Masters Degrees in Mathematics

We have 13 University College Dublin, Full Time Masters Degrees in Mathematics

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The MA in Mathematics is designed for graduates who wish to obtain a masters degree in mathematics but who have not completed a four year honours BSc in Mathematics. Read more
The MA in Mathematics is designed for graduates who wish to obtain a masters degree in mathematics but who have not completed a four year honours BSc in Mathematics. It combines components of the Higher Diploma in Mathematical Sciences and the MSc in Mathematics to offer an opportunity for a student to complete an MA in Mathematics within a 16 month period. For some this is an attractive alternative to the more standard 24 month pathway of the HDip followed by the MSc in Mathematics.

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The MSc in Mathematics is intended to bring the student to a level of knowledge and understanding where they can confidently begin to study modern research literature in Mathematics, and can prepare to embark on a research project of their own (under supervison). Read more
The MSc in Mathematics is intended to bring the student to a level of knowledge and understanding where they can confidently begin to study modern research literature in Mathematics, and can prepare to embark on a research project of their own (under supervison).

The student takes three 10 credit taught modules in each of the first two semesters. These modules are examined during, or at the end of, the semester in which they are given.

The student also completes a 30-credit dissertation. Normally, this is done largely in the summer semester.

September to August (full time) - 1 year or 3 semesters
September to August (part time) - 2 years or 6 semesters

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This programme is aimed at graduates whose level of mathematical training is high, but below that of the BSc Degree Honours in Mathematics or Mathematical Physics, and who have demonstrated mathematical flair. Read more
This programme is aimed at graduates whose level of mathematical training is high, but below that of the BSc Degree Honours in Mathematics or Mathematical Physics, and who have demonstrated mathematical flair. It enables them to reach in one year a level of mathematical knowledge equivalent to that of BSc Honours graduates and thus, in particular, qualifies them to enter the MSc degree in Mathematics, Mathematical Physics or Mathematical Sciences.

Students in the programme choose one of two streams:

The Applied and Computational Mathematics Stream
The Mathematics Stream

The programme extends over two semesters and involves 60 credits of taught modules.

This programme runs full time for one academic year - September to May (2 semesters)
This programme runs part time for two academic years - September to May (4 semesters)

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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. Read more
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.

You will study a range of Mathematics topics at advanced undergraduate level, including the foundations of modern algebra and analysis, as well as some modern applications of mathematics.

This programme runs full time for one academic year - September to May (2 semesters)
This programme runs part time for two academic years - September to May (4 semesters)

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The Master of Science in Quantitative Finance attracts numerate, competitive students seeking careers in finance that stretch their quantitative talents. Read more
The Master of Science in Quantitative Finance attracts numerate, competitive students seeking careers in finance that stretch their quantitative talents. The two-year full-time programme provides an integrated and balanced curriculum of finance and computational methods that accommodates students of diverse backgrounds.

The 4-semester programme comprises 18 courses, an internship and a major project. The curriculum gives students the knowledge and skills to develop quantitative security pricing models and trading strategies for managing portfolios of equity, fixed income and derivative securities and for managing corporate financial risk.

Programme structure
The MScQF is a small programme limited to about 20 students per year. The design of the curriculum presumes relatively little prior training in either finance or mathematics. The two-year full-time MScQF integrates the content of the one-year MBS in Finance with nearly the
equivalent of a masters in applied financial mathematics. The two-year structure affords the opportunity for a summer internship with a financial firm, a crucial component of the entire training and job-hunting process.
Assessment is by both examination and project work.

Careers
Career options for MScQF graduates include funds management, investment banking, financial engineering, and corporate treasury management. The MScQF also provides the recommended coursework component of the PhD in Finance at
UCD, leading to careers in academia as well as the finance industry.

Entry requirements
Appropriate degree fields include mathematical finance, economics, mathematics, statistics, engineering and physics. As relatively little prior formal training in mathematics is presumed, we welcome applications from quantitatively inclined graduates from a standard commerce programme. Generally, applicants must have high grades and a high score on the mathematics component of the GMAT (or an equivalent test). Work experience can partially compensate for non-competitive grades.

Ask us about our sponsorship and internship opportunities!

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The MSc in Mathematical Sciences is a one-year (12 months) full-time programme which allows a student to combine graduate-level modules in one or more of the disciplines of the school (Actuarial Science and Statistics, Mathematics, Applied Mathematics/Mathematical Physics). Read more
The MSc in Mathematical Sciences is a one-year (12 months) full-time programme which allows a student to combine graduate-level modules in one or more of the disciplines of the school (Actuarial Science and Statistics, Mathematics, Applied Mathematics/Mathematical Physics). It consists of 60 credits of taught modules in Mathematics, Statistics, Mathematical Physics or Applied Mathematics, and 30 credits assigned to the writing of a dissertation as well as active participation in a research seminar.

September to August (full time) - 1 year or 3 semesters
September to August (part time) - 2 years or 6 semesters

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The MSc in Data and Computational Science is designed for students from highly quantitative disciplines who wish to work in data analytics or computational science. Read more
The MSc in Data and Computational Science is designed for students from highly quantitative disciplines who wish to work in data analytics or computational science.

Computational science is at the crossroads between modern applied mathematics and statistics, and our programme recognizes this fact by combining aspects of both in a unique set of tailored modules including scientific computing, mathematical modelling, and data analytics.

- The programme will equip you to solve complex scientific problems and analyse large data sets using a range of theoretical tools, from deterministic mathematical modelling to Bayesian analysis.

- The intensive programming modules will allow you develop a range of sought-after skills in practical programming and data analytics, including applications in high-performance computing.

- Topical application areas are offered each year, including cryptography, numerical weather prediction, and financial mathematics. The dissertation will give you further hands-on experience in computational science and will allow you to apply the key theoretical and practical skills by working on a challenging research topic.

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The MSc in Statistics if offered by the School of Mathematics and Statistics in UCD. The degree programme is aimed at students who have an undergraduate degree which has a strong focus on statistics and/or mathematics. Read more
The MSc in Statistics if offered by the School of Mathematics and Statistics in UCD. The degree programme is aimed at students who have an undergraduate degree which has a strong focus on statistics and/or mathematics. The purpose of the degree programme is to provide highly numerate students with a thorough knowledge of statistics.

The MSc in Statistics is specifically designed to provide students with a solid theoretical and applied statistical knowledge so that they can be employed either as an applied statistician or a statistical researcher on completion of the degree.

The MSc in Statistics provides training in both applied and theoretical statistics, and prepares the student well for a career either in industry or in academia. The taught modules in the programme provide a thorough grounding in statistics; the (supervised) research project introduces the students to the area of statistical research. Additionally you will learn how to use to a wide range of statistical softwares.

The MSc programme runs from:

September to August (full time) - 1 year or 3 semesters
September to August (part time) - 2 years or 6 semesters

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If you are interested in the possibility of a research degree (PhD or Research Masters) in the School of Mathematical Sciences, we encourage you to become familiar with the range of research activity and expertise in the School. Read more
If you are interested in the possibility of a research degree (PhD or Research Masters) in the School of Mathematical Sciences, we encourage you to become familiar with the range of research activity and expertise in the School. In particular, we would encourage you to approach or contact members of the academic staff whose research area may be of particular interest.

The research of the School covers a wide range of areas including:

Analysis (Infinite-dimensional analysis, Functional Analysis, Potential Theory)
Algebra (Matrix Theory, K-theory, Quadratic and Hermitian Forms)
Discrete Mathematics (Coding, Cryptography, Number Theory)
Applied Mathematics (Fluid Dynamics, Computational Science, Meteorology, Biomathematics, Information Theory)
Theoretical Physics (Astrophysics, General Relativity, Quantum Gravity, Statistical Mechanics, Quantum Field Theory)
Statistics (Bayesian Statistics, Pharmaceutical, Medical and Educational Statistics, Environmental and ecological modelling, Epidemiology, Econometrics).

Please see our School Website for more details:
http://www.ucd.ie/mathstat

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The PG Diploma Actuarial Science is a nine month full-time programme from September to the following May covering the Core Technical subjects 1 to 8 (CT 1-8) and subject Core Applications 1 (CA1) of the examinations of the Institute and Faculty of Actuaries (UK). Read more
The PG Diploma Actuarial Science is a nine month full-time programme from September to the following May covering the Core Technical subjects 1 to 8 (CT 1-8) and subject Core Applications 1 (CA1) of the examinations of the Institute and Faculty of Actuaries (UK). Depending on your background and subject to the approval of the programme director, you may select between five and eight subjects to study. The Core Technical subjects are as follows:


• Financial Mathematics (CT1)
• Finance & Financial Reporting (CT2)
• Probability and Mathematical Statistics (CT3)
• Models (CT4)
• Contingencies (CT5)
• Statistical Methods (CT6)
• Business Economics (CT7)
• Financial Economics (CT8)

This programme runs for one academic year - September to May (2 semesters)

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The MSc Actuarial Science is a one year full-time programme from September to the following August. Semesters 1 and 2, from September to May, cover the Core Technical subjects 1 to 8 (CT 1-8) and subject Core Applications 1 (CA1) of the examinations of the Institute and Faculty of Actuaries (UK). Read more
The MSc Actuarial Science is a one year full-time programme from September to the following August. Semesters 1 and 2, from September to May, cover the Core Technical subjects 1 to 8 (CT 1-8) and subject Core Applications 1 (CA1) of the examinations of the Institute and Faculty of Actuaries (UK). Depending on your background and subject to the approval of the programme director, you may select between five and eight subjects to study. The Core Technical subjects are as follows:


Financial Mathematics (CT1)
Finance & Financial Reporting (CT2)
Probability and Mathematical Statistics (CT3)
Models (CT4)
Contingencies (CT5)
Statistical Methods (CT6)
Business Economics (CT7)
Financial Economics (CT8)


In semester 3 you will undertake independent research in an area of actuarial science under the supervision of a member of the School of Mathematical Sciences with the aim of submitting a thesis on your research findings at the end of the semester. Depending on your subject choices in semesters 1 and 2 you may also undertake advanced modules in finance at the UCD Smurfit School of Business – the modules offered will vary from year to year but possible topics may include regulation, corporate governance, ethics in finance, asset valuation, and financial management.

This programme runs for one year or 3 semesters.

A short video about the MSc Actuarial Science programme:

https://youtu.be/vJ4CCY1x09M

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The Higher Diploma in Statistics is for those with a non-statistical background who wish to reach in nine months a level of statistical knowledge equivalent to that of a BSc Honours degree in Statistics. Read more
The Higher Diploma in Statistics is for those with a non-statistical background who wish to reach in nine months a level of statistical knowledge equivalent to that of a BSc Honours degree in Statistics. It is specifically designed to provide students with a solid theoretical and applied statistical knowledge so that they can continue to further study in the field of Statistics or be employed as an applied statistician on completion of the degree.

The Higher Diploma in Statistics is a taught postgraduate programme which provides students with a good background in statistical theory and methods. Students learn about the fundamentals of probability and statistics, as well as gaining knowledge of standard statistical techniques. Additionally students will learn how to work with several statistical software packages.

This programme runs full time for one academic year - September to May (2 semesters)
This programme runs part time for two academic years - September to May (4 semesters)

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This programme is intended for students with a numerate background but who may have insufficient background knowledge to gain entry to the MSc programme. Read more
This programme is intended for students with a numerate background but who may have insufficient background knowledge to gain entry to the MSc programme.

The MA in Statistics is of 16 months durations (4 semesters) and will bring students to the same level as the 1 year MSc degree in Statistics. Currently students without sufficient statistical background knowledge can attain Masters level proficiency by first completing the Higher Diploma in Statistics followed by the MSc in Statistics, which together takes 2 years. The MA in Statistics provides an alternative pathway in 16 months. There is no comparable programme in Ireland or the UK.

This programme runs for 16 months or 4 semesters (Full time)/ 32 months or 8 semesters (Part time)

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