Expand+MSc Statistics (T020) Full Time
EU fee per year - €8790
nonEU fee per year - €21460

MSc Statistics (T069) Part Time
EU fee per year - €4800
nonEU fee per year - €13860

***Fees are subject to change

Tuition...

Hide-MSc Statistics (T020) Full Time
EU fee per year - €8790
nonEU fee per year - €21460

MSc Statistics (T069) Part Time
EU fee per year - €4800
nonEU fee per year - €13860

***Fees are subject to change

Tuition fee information is available on the UCD Fees website. Please note that UCD offers a number of graduate scholarships for full-time, self-funding international students, holding an offer of a place on a UCD graduate degree programme. For further information please see International Scholarships.

Expand+This programme is intended for applicants who hold a degree in Statistics or a cognate subject area. An upper second class honours, or international equivalent is required.

Those who have been awarded an upper second class honours or higher in the...

Hide-This programme is intended for applicants who hold a degree in Statistics or a cognate subject area. An upper second class honours, or international equivalent is required.

Those who have been awarded an upper second class honours or higher in the Higher Diploma in Statistics are eligible for the programme.

Alternatively students may qualify for enrolment for the four semester MA in Statistics which brings them to the same level as the MSc in Statistics.

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.

Students meeting the programme’s academic entry requirements but not the English language requirements, may enter the programme upon successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes.

Please see the following link for further information http://www.ucd.ie/alc/programmes/pathways/
School of Mathematics and Statistics Application Process FAQ

These are the minimum entry requirements – additional criteria may be requested for some programmes.

Expand+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...

Hide-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 MSc in Statistics is aimed at students who have an undergraduate degree in Statistics or a degree in a discipline related to Statistics and with numerate skills. Compulsory modules are intended to ensure that all students have appropriate basic statistical skills, knowledge and experience, while optional modules provide depth and exposure to the diverse range of statistical applications and methods.

Expand+This programme is aimed at students who have an undergraduate degree in Statistics or a degree in a discipline related to Statistics and with numerate skills.

Compulsory modules are intended to ensure that all students have appropriate basic stati...

Hide-This programme is aimed at students who have an undergraduate degree in Statistics or a degree in a discipline related to Statistics and with numerate skills.

Compulsory modules are intended to ensure that all students have appropriate basic statistical skills, knowledge and experience, while optional modules provide depth and exposure to the diverse range of statistical applications and methods. This latter aspect provides you with the opportunity to specialise in specific areas. The major project provides you with the chance to work extensively on either theoretical or practical problems.

The UCD MSc in Statistics is fully accredited by the Royal Statistical Society.

Wide range of possible taught modules available.

Exposure to popular statistical software.

Vision and Values Statement
This programme is aimed at students who have an undergraduate degree which has a strong focus on statistics and/or mathematics, and who wish to gain a deeper understanding of the subject. The programme trains students in both applied and theoretical statistics, and prepares them 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. We expect our students to become autonomous learners and researchers capable of setting their own research agenda. They will be capable of solving relevant problems in the language of statistics. 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 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.

Related Programmes
MSc Actuarial Science FT
MA Statistics FT
MSc Data Analytics PT
HDip Statistics FT

Graduate Certificate Statistics
MA Statistics
HDip Statistics

Expand+• Approach problems in an analytical, precise and rigorous way

• Demonstrate in-depth knowledge of the key skills required by a practicing statistician, including data collection methods, statistical method development, analysis of statistical...

Hide-• Approach problems in an analytical, precise and rigorous way

• Demonstrate in-depth knowledge of the key skills required by a practicing statistician, including data collection methods, statistical method development, analysis of statistical output

• Demonstrate strong proficiency in mathematical and computational methods, including computer programming and scientific visualization

• Give oral presentations of technical mathematical material at a level appropriate for the audience

• Model real-world problems in a statistical framework

• Prepare a written report on technical statistical content in clear and precise language

• Undertake excellent research at an appropriate level, using the statistical research skills learnt in the programme

• Use the language of logic to reason correctly and make deductions

• Work independently and be able to pursue a research agenda.

Expand+Stage 1 - Core
Technical Communication MEEN40670
Mathematical Statistics STAT40320
Applied Statistical Modelling STAT40530
Dissertation STAT40710

Stage 1 - Option
Numerical Algorithms ACM40290
Data Mining COMP40370
Machine Learning with Pyt...

Hide-Stage 1 - Core
Technical Communication MEEN40670
Mathematical Statistics STAT40320
Applied Statistical Modelling STAT40530
Dissertation STAT40710

Stage 1 - Option
Numerical Algorithms ACM40290
Data Mining COMP40370
Machine Learning with Python COMP47750
Optimisation COMP47790
Applied Matrix Theory MATH40550
Advanced Predictive Analytics STAT30250
Statistical Machine Learning STAT30270
Actuarial Statistics I STAT40020
Actuarial Statistics II STAT40070
Nonparametric Statistics STAT40080
Multivariate Analysis STAT40150
Survival Models STAT40250
Monte Carlo Inference STAT40400
Data Programming with R STAT40620
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
Data Prog with C (online) STAT40780
Data Prog with Python (online) STAT40800
Adv Data Prog with R (online) STAT40830
Data Prog with SAS (online) STAT40840
Adv Bayesian Analysis (online) STAT40950
Stat Network Analysis STAT41010
Survey Sampling STAT41020