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University College Dublin: Statistics
Institution | University College Dublin View institution profile |
---|---|
Department | UCD School of Mathematics and Statistics |
Web | www.ucd.ie/global |
internationalenquiries@ucd.ie | |
Telephone | +353 1 716 8500 |
Study type | Taught |
Graduate Certificate
Summary
The UCD School of Mathematics and Statistics group was 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 Graduate Certificate in Statistics is a part-time programme over two trimesters.
The programme provides the students with both foundational modules on probability and statistics, as well as a wide range of more advanced and specialised statistics modules. The foundational modules offer a formal preparation on the mathematical aspects of probability and statistics. At the same time, the students gain access to advanced statistics modules which allow them to specialise in a particular area of interest.
This programme is ideal for part-time students who are interested in gaining an advanced knowledge of a specific area of statistics, in that the programme offers a streamlined pathway into achieving this goal, within two trimesters. In addition, the programme can be used to gain access to other graduate degrees, such as the EMOS-certified MA Statistics or the MSc Statistics.
The Graduate Certificate in Statistics does not require any prior knowledge of statistics, however, a demonstrated numerical ability is essential.
The Graduate Certificate in Statistics unlocks a variety of different opportunities both regarding potential study careers and regarding professional employments employment. This part-time programme provides a flexible framework to strengthen the student's skills as a statistician and data analyst. Nowadays, these skills are essential and in high demand for a variety of jobs in data science, the pharmaceutical industry, banking, finance, and risk management.
Professionals can benefit from the Graduate Certificate in Statistics since it allows them to consolidate their formal knowledge of statistics, as well as to specialise in a specific statistics area of interest.
Level | NFQ Level 9 |
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Entry requirements | Applicants must have a minimum of an upper second class honours degree in a numerate discipline or a cognate subject area. 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. |
Fees
EU | 3070 Euros for per year |
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Non EU | 9240 Euros for per year |
Higher Diploma
Summary
This programme is aimed at graduates whose level of statistical or mathematical training is high and have demonstrated numerical ability, but below that of a BSc Degree in Statistics. Students who are awarded a distinction or upper second-class honours in the Higher Diploma in Statistics are qualified to enter the MSc Statistics.
On successful completion of the programme, you will reach in one year a level of statistical knowledge equivalent to that of BSc Honours graduates. You will be able to apply basic statistical reasoning, techniques and models in the analysis of real data, understand the context in which statistical work is done, select appropriate statistical models for different applications, interpret results, and demonstrate programming skills, report writing skills and presentation skills.
Many students pursue careers in the pharmaceutical industry, banking, finance and risk management. There is an increase in demand for statisticians from the IT sector. Many government departments employ statisticians including the Central Statistics Office. Many students embarked on the MSc Statistics, based on achieving a second-class honours grade. Prospective employers include Vodafone, Google, Intel, Irish Life, Paddy Power, the ESRI, SPSS, Bank of Ireland, Quintiles, Accenture, Tesco, eBay and Aviva.
Level | NFQ Level 8 |
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Entry requirements | • Applicants must have a minimum of an upper second class honours degree in a numerical discipline or a cognate subject area. • 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. |
Fees
EU | 7930 Euros for per year |
---|---|
Non EU | 14310 Euros for per year |
Summary
This programme is aimed at graduates whose level of statistical or mathematical training is high and have demonstrated numerical ability, but below that of a BSc Degree in Statistics. Students who are awarded a distinction or upper second-class honours in the Higher Diploma in Statistics are qualified to enter the MSc Statistics.
On successful completion of the programme, you will reach in one year a level of statistical knowledge equivalent to that of BSc Honours graduates. You will be able to apply basic statistical reasoning, techniques and models in the analysis of real data, understand the context in which statistical work is done, select appropriate statistical models for different applications, interpret results, and demonstrate programming skills, report writing skills and presentation skills.
Many students pursue careers in the pharmaceutical industry, banking, finance and risk management. There is an increase in demand for statisticians from the IT sector. Many government departments employ statisticians including the Central Statistics Office. Many students embarked on the MSc Statistics, based on achieving a second-class honours grade. Prospective employers include Vodafone, Google, Intel, Irish Life, Paddy Power, the ESRI, SPSS, Bank of Ireland, Quintiles, Accenture, Tesco, eBay and Aviva.
Level | NFQ Level 8 |
---|---|
Entry requirements | • Applicants must have a minimum of an upper second class honours degree in a numerical discipline or a cognate subject area. • 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. |
Fees
EU | 4540 Euros for per year |
---|---|
Non EU | 9240 Euros for per year |
Summary
The goal of the MA Statistics is to train the new generation of Data Scientists, by empowering them with a broad range of skills in statistics and machine learning. Once completed, the MA Statistics brings students to the same level as the MSc Statistics: the degrees are equivalent. However, in contrast to the 1-year MSc Statistics, the MA Statistics is 16 months long, and it includes several fundamental statistics modules in it's core structure. These modules cover the fundamentals of statistics and data science and prepare students for more advanced modules.
The MA Statistics programme is aimed at students who have an undergraduate degree in a discipline with numerate skills, and who have covered some basic topics of statistics.
The MA Statistics programme is an EMOS (European Master in Official Statistics) labelled programme, which means that some students may have the opportunity to take modules and a project on official statistics, and potentially receive the EMOS certification of their degree. The EMOS MA Statistics also includes a research module, which is provided in the form of an internship at an institution whose work involves official statistics. The MA Statistics is the only EMOS accredited programme in Ireland and it is ideal for students who are interested in pursuing a career in official statistics, in Ireland or abroad.
The MA Statistics is ideal for students interested in data science careers in industry, business and government , and to those interested in pursuing a subsequent PhD in statistics or other areas related to data science.
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.
EMOS (European Master in Official Statistics) labelled programme
Exposure to cutting-edge modern statistical applications
On successful completion of the programme, students will be able to demonstrate in-depth understanding of statistical concepts, apply advanced statistical reasoning, techniques and models in the analysis of real data, and employ technical computing skills.
Career opportunities exist in a variety of industries including pharmaceutical companies, banking, finance, government departments, risk management and the IT sector. Some past students have embarked on careers in academia by proceeding to study for a PhD.
Graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our Statistics graduates continues to be strong both in Ireland and abroad.
Level | NFQ Level 9 |
---|---|
Entry requirements | This programme is intended for applicants with a degree in Mathematics, Economics, Finance, certain Engineering degrees or similar quantitative disciplines where statistics has formed some component of the degree. An upper second class honours, or international equivalent is required. Applicants who do not meet these requirements but can demonstrate an interest and ability in statistics may be considered. Alternatively students may qualify for enrolment to the Higher Diploma Statistics from which they can gain entry to the 1-year 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. |
Fees
EU | 4080 Euros for per year |
---|---|
Non EU | 7160 Euros for per year |
MA
Summary
The goal of the MA Statistics is to train the new generation of Data Scientists, by empowering them with a broad range of skills in statistics and machine learning. Once completed, the MA Statistics brings students to the same level as the MSc Statistics: the degrees are equivalent. However, in contrast to the 1-year MSc Statistics, the MA Statistics is 16 months long, and it includes several fundamental statistics modules in it's core structure. These modules cover the fundamentals of statistics and data science and prepare students for more advanced modules.
The MA Statistics programme is aimed at students who have an undergraduate degree in a discipline with numerate skills, and who have covered some basic topics of statistics.
The MA Statistics programme is an EMOS (European Master in Official Statistics) labelled programme, which means that some students may have the opportunity to take modules and a project on official statistics, and potentially receive the EMOS certification of their degree. The EMOS MA Statistics also includes a research module, which is provided in the form of an internship at an institution whose work involves official statistics. The MA Statistics is the only EMOS accredited programme in Ireland and it is ideal for students who are interested in pursuing a career in official statistics, in Ireland or abroad.
The MA Statistics is ideal for students interested in data science careers in industry, business and government , and to those interested in pursuing a subsequent PhD in statistics or other areas related to data science.
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.
EMOS (European Master in Official Statistics) labelled programme
Exposure to cutting-edge modern statistical applications
On successful completion of the programme, students will be able to demonstrate in-depth understanding of statistical concepts, apply advanced statistical reasoning, techniques and models in the analysis of real data, and employ technical computing skills.
Career opportunities exist in a variety of industries including pharmaceutical companies, banking, finance, government departments, risk management and the IT sector. Some past students have embarked on careers in academia by proceeding to study for a PhD.
Graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our Statistics graduates continues to be strong both in Ireland and abroad.
Level | NFQ Level 9 |
---|---|
Entry requirements | This programme is intended for applicants with a degree in Mathematics, Economics, Finance, certain Engineering degrees or similar quantitative disciplines where statistics has formed some component of the degree. An upper second class honours, or international equivalent is required. Applicants who do not meet these requirements but can demonstrate an interest and ability in statistics may be considered. Alternatively students may qualify for enrolment to the Higher Diploma Statistics from which they can gain entry to the 1-year 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. |
Fees
EU | 11580 Euros for per year |
---|---|
Non EU | 21460 Euros for per year |
MSc
Summary
The goal of the UCD MSc Statistics is to train the new generation of data scientists, by empowering them with a broad range of foundational and applied skills in statistics and machine learning.
This programme is aimed at students who have an undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others.
The MSc Statistics is ideal for students interested in data science careers in industry, business, government, or to those interested in pursuing a subsequent PhD in statistics or related areas.
In this programme, you will learn how to design, use and interpret a variety of statistical modelling tools, combining the fundamental theory of statistics with modern computational techniques. The programme in underpinned by several thematic areas;
- Data Science: in several of our modules, you will tackle modern real-world problems, using a variety of advanced techniques that are common in statistics and machine learning. Modules examples: Statistical Machine Learning, Data Mining, Advanced Predictive Analytics.
- Computing: you will learn how to design and implement efficient algorithms, through various data science programming languages and software that are commonly used in industry and research. Modules examples: Data Programming, Optimisation, Machine Learning with Python.
- Fundamental Theory: you will cover the fundamental aspects of mathematical statistics and learn how this is used in data science to develop new methods and concepts. Modules examples: Mathematical Statistics, Multivariate Analysis, Stochastic Models.
- Communication: you will learn how to study and interpret statistical analyses, and also how to effectively communicate your conclusions. Modules examples: Technical Communication, Applied Statistical Modelling, Dissertation.
You will have the flexibility to choose your modules from a wide range of statistics topics. In addition, you will take a final dissertation module which provides you with the chance to work extensively and individually on a statistical problem, with potential industry applications or research novelty.
Wide range of possible taught modules available.
Exposure to popular statistical software.
On completion of the MSc Statistics, you will be able to demonstrate in-depth understanding of statistical concepts, apply advanced statistical reasoning, techniques and models in the analysis of real data, and employ technical computing skills.
Career opportunities exist in a variety of industries including pharmaceutical companies, banking, finance, government departments, risk management and the IT sector. Some past students embarked on a career in academia by proceeding to study for a PhD.
Graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our MSc Statistics graduates continues to be very strong both in Ireland and abroad.
Level | NFQ Level 9 |
---|---|
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. 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/ |
Fees
EU | 8790 Euros for per year |
---|---|
Non EU | 21460 Euros for per year |
Summary
The goal of the UCD MSc Statistics is to train the new generation of data scientists, by empowering them with a broad range of foundational and applied skills in statistics and machine learning.
This programme is aimed at students who have an undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others.
The MSc Statistics is ideal for students interested in data science careers in industry, business, government, or to those interested in pursuing a subsequent PhD in statistics or related areas.
In this programme, you will learn how to design, use and interpret a variety of statistical modelling tools, combining the fundamental theory of statistics with modern computational techniques. The programme in underpinned by several thematic areas;
- Data Science: in several of our modules, you will tackle modern real-world problems, using a variety of advanced techniques that are common in statistics and machine learning. Modules examples: Statistical Machine Learning, Data Mining, Advanced Predictive Analytics.
- Computing: you will learn how to design and implement efficient algorithms, through various data science programming languages and software that are commonly used in industry and research. Modules examples: Data Programming, Optimisation, Machine Learning with Python.
- Fundamental Theory: you will cover the fundamental aspects of mathematical statistics and learn how this is used in data science to develop new methods and concepts. Modules examples: Mathematical Statistics, Multivariate Analysis, Stochastic Models.
- Communication: you will learn how to study and interpret statistical analyses, and also how to effectively communicate your conclusions. Modules examples: Technical Communication, Applied Statistical Modelling, Dissertation.
You will have the flexibility to choose your modules from a wide range of statistics topics. In addition, you will take a final dissertation module which provides you with the chance to work extensively and individually on a statistical problem, with potential industry applications or research novelty.
Wide range of possible taught modules available.
Exposure to popular statistical software.
On completion of the MSc Statistics, you will be able to demonstrate in-depth understanding of statistical concepts, apply advanced statistical reasoning, techniques and models in the analysis of real data, and employ technical computing skills.
Career opportunities exist in a variety of industries including pharmaceutical companies, banking, finance, government departments, risk management and the IT sector. Some past students embarked on a career in academia by proceeding to study for a PhD.
Graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our MSc Statistics graduates continues to be very strong both in Ireland and abroad.
Level | NFQ Level 9 |
---|---|
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. 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/ |
Fees
EU | 4800 Euros for per year |
---|---|
Non EU | 13860 Euros for per year |
University College Dublin
Why UCD?
University College Dublin is one of Europe’s leading research-intensive universities. Ranked in the top 1% of institutions worldwide, in the overall 2023 QS World University Rankings, UCD was named 181 in the world.
UCD, Ireland’s Global University, is Ireland’s largest university. Established in 1854, the university has a student body of over 38,000 students with more than 9,500 international students drawn from 152 countries. UCD is Ireland's leader in graduate education with over 12,000 graduate students; almost a quarter of whom are graduate research students.
Students are attracted to UCD by the strength …
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