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University College Dublin

Statistics

MSc 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.

There are opportunities for MSc in Statistics graduates in industry, government, IT, economics and finance. On completion of this MSc in Statistics, you will have skills such as the ability to demonstrate in-depth understanding of statistical concepts, apply basic statistical reasoning, techniques and models in the analysis of real data and employ technical computing skills.

- Ranked in the top 200 in the world in the QS World University Ranking, and is the only statistics group in Ireland to appear in this ranking.

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

- Wide range of possible taught modules available.

- Exposure to popular statistical softwares.

Entry requirements

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.

Closing date non EU applications is the 30th June 2016.

Duration

1 year full-time, 2 years part-time.

Careers or further progression

Career Opportunities
Career prospects on completion of the MSc in Statistics are excellent. Many graduates pursue careers in the pharmaceutical industry and career opportunities also exist in banking, finance and risk management. There is also an increase in demand for statisticians from the IT sector. In addition, many government departments employ statisticians. Some past students embarked on a career in academia by proceeding to study to for a PhD in Statistics. Former students are currently working for companies such as Google, Western Union, AIB, Norbrook, EY, O2, SPSS. Demand for graduates continues to be strong both in Ireland and abroad.

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

Further enquiries

Contact Name: Kate OHanlon
Contact Number: +353 (0)1 716 2452

Subjects taught

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

Stage 1 - Option
Simulation Modelling and Analysis ACM40270
Numerical Algorithms ACM40290
Data Mining COMP40370
Machine Learning COMP47490
Actuarial Statistics I STAT40020
Actuarial Statistics II STAT40070
Data Programming STAT40180
Experimental Design STAT40190
Survey Sampling STAT40220
Survival Models STAT40250
Multivariate Analysis STAT40340
Bayesian Analysis STAT40390
Monte Carlo Inference STAT40410
Statistical Data Mining STAT40590
Regression Methods STAT40670
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
Data Prog with Python (online) STAT40800

Comment

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.