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The goal of the UCD MSc Statistical Data Science 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... Read more undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others. The MSc Statistical Data Science 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 is underpinned by several thematic areas: - Data Science: in several of our modules, you will tackle on 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.Read less
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The goal of the UCD MSc Statistical Data Science 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... Read more undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others. The MSc Statistical Data Science 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 is underpinned by several thematic areas: - Data Science: in several of our modules, you will tackle on 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.Read less
Admission Requirements
176+
6.5+
90+
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 Statistical Data Science. 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.
1 Year
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
9,300 EUR
International
22,530 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Statistical Data Science
UCD Belfield Campus, Dublin, Ireland
# 201-250QS Subject Rankings
12 monthsProgram duration
22,530 EURTuition Fee/year
Statistics and Operational ResearchMain Subject Area
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme is aimed at students who have an...
Read more undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others.
The MSc Statistical Data Science 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 is underpinned by several thematic areas:
- Data Science: in several of our modules, you will tackle on 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. Read less
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme is aimed at students who have an...
Read more undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others.
The MSc Statistical Data Science 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 is underpinned by several thematic areas:
- Data Science: in several of our modules, you will tackle on 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. Read less
Admission Requirements
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 Statistical Data Science.
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.
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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QS subject rankings
Subject: Statistics and Operational Research
Ranking criteria
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MSc Nanotechnology
MSc Nursing - Advanced Practice (ANP)
MSc Nursing - Advanced Practice (ANP)
MSc Occupational Safety & Health
MSc Occupational Safety & Health
MSc Palliative Care
MSc Palliative Care
MSc Plant Biology & Biotechnology
MSc Plant Biology & Biotechnology
MSc Precision Medicine
MSc Precision Medicine
MSc Primary Care (Orthopaedics & Musculoskeletal Medicine)
MSc Primary Care (Orthopaedics & Musculoskeletal Medicine)
MSc Regulatory Affairs and Toxicology
MSc Regulatory Affairs and Toxicology
MSc Ultrasound
MSc Ultrasound
MSc in Advanced Practice (Midwifery)
MSc in Advanced Practice (Midwifery)
MSc(Agr) Sustainable Agriculture & Rural Development
MSc(Agr) Sustainable Agriculture & Rural Development
ProfMasters Physiotherapy
ProfMasters Physiotherapy
Natural Sciences (26)
MA Geography
MA Geography
MEngSc Food Engineering
MEngSc Food Engineering
MSc Actuarial Science
MSc Actuarial Science
MSc Applied Mathematics & Theoretical Physics
MSc Applied Mathematics & Theoretical Physics
MSc Biotechnology & Business
MSc Biotechnology & Business
MSc Chemistry
MSc Chemistry
MSc Computational Physics
MSc Computational Physics
MSc Computed Tomography (CT)
MSc Computed Tomography (CT)
MSc Environmental Science
MSc Environmental Science
MSc Environmental Sustainability
MSc Environmental Sustainability
MSc Environmental Technology
MSc Environmental Technology
MSc Financial Mathematics
MSc Financial Mathematics
MSc Food Safety
MSc Food Safety
MSc Food, Nutrition & Health
MSc Food, Nutrition & Health
MSc Geospatial Data Analysis
MSc Geospatial Data Analysis
MSc Magnetic Resonance Imaging
MSc Magnetic Resonance Imaging
MSc Medical Imaging
MSc Medical Imaging
MSc Physics
MSc Physics
MSc Risk, Resilience & Sustainability
MSc Risk, Resilience & Sustainability
MSc Space Science & Technology
MSc Space Science & Technology
MSc Subsurface Characterisation & Geomodelling
MSc Subsurface Characterisation & Geomodelling
MSc Sustainable Development
MSc Sustainable Development
MSc Sustainable Food Processing
MSc Sustainable Food Processing
MSc Synthetic Chemistry Pharmaceutical & Fine Chemicals Industries
MSc Synthetic Chemistry Pharmaceutical & Fine Chemicals Industries
MSc Wildlife Conservation & Management
MSc Wildlife Conservation & Management
MSc(Agr) Environmental Resource Management
MSc(Agr) Environmental Resource Management
Social Sciences and Management (74)
LLM Criminology & Criminal Justice
LLM Criminology & Criminal Justice
LLM Intellectual Property & Information Technology
LLM Intellectual Property & Information Technology
LLM International Commercial Law
LLM International Commercial Law
LLM International Human Rights
LLM International Human Rights
LLM Law
LLM Law
MA American Politics & Foreign Policy
MA American Politics & Foreign Policy
MA Archives & Records Management
MA Archives & Records Management
MA Cultural Policy & Arts Management
MA Cultural Policy & Arts Management
MA Education
MA Education
MA Education (Mentoring, Leading & Global Learning)
MA Education (Mentoring, Leading & Global Learning)
MA European Politics & Policy
MA European Politics & Policy
MA Gender Studies
MA Gender Studies
MA Gender, Politics and International Relations
MA Gender, Politics and International Relations
MA Gender, Sexuality & Culture
MA Gender, Sexuality & Culture
MA Geopolitics & the Global Economy
MA Geopolitics & the Global Economy
MA International Development
MA International Development
MA International Relations
MA International Relations
MA International War Studies
MA International War Studies
MA Irish Folklore & Ethnology
MA Irish Folklore & Ethnology
MA Irish History
MA Irish History
MA Irish Studies
MA Irish Studies
MA Journalism & International Affairs
MA Journalism & International Affairs
MA Literature & Culture
MA Literature & Culture
MA Media & International Conflict
MA Media & International Conflict
MA Middle East Politics
MA Middle East Politics
MA Peace and Conflict
MA Peace and Conflict
MA Political Theory
MA Political Theory
MA Politics
MA Politics
MA Politics & International Relations
MA Politics & International Relations
MA Social & Political Thought
MA Social & Political Thought
MA Sociology
MA Sociology
MA Statistics
MA Statistics
MA Teaching English to Speakers of Other Languages
MA Teaching English to Speakers of Other Languages
MCL Common Law
MCL Common Law
MEconSc European Public Affairs & Law
MEconSc European Public Affairs & Law
MEd Education
MEd Education
MEd Inclusive Education
MEd Inclusive Education
MLIS Library & Information Studies
MLIS Library & Information Studies
MPH Public Health
MPH Public Health
MPP Public Policy
MPP Public Policy
MSc Coaching Science in Sport
MSc Coaching Science in Sport
MSc Communication & Media
MSc Communication & Media
MSc Comparative Social Change
MSc Comparative Social Change
MSc Criminology & Criminal Justice
MSc Criminology & Criminal Justice
MSc Cybersecurity
MSc Cybersecurity
MSc Digital Policy
MSc Digital Policy
MSc Education, Children & Youth
MSc Education, Children & Youth
MSc Environmental & Climate Law
MSc Environmental & Climate Law
MSc Environmental Policy
MSc Environmental Policy
MSc European Governance
MSc European Governance
MSc European Politics & Policy
MSc European Politics & Policy
MSc Food Regulatory Affairs
MSc Food Regulatory Affairs
MSc Food Regulatory Affairs VPH
MSc Food Regulatory Affairs VPH
MSc Gender, Politics & International Relations
MSc Gender, Politics & International Relations
MSc Global Change: Ecosystem Science & Policy
MSc Global Change: Ecosystem Science & Policy
MSc Global Solutions
MSc Global Solutions
MSc Human Rights
MSc Human Rights
MSc Humanitarian Action
MSc Humanitarian Action
MSc Humanitarian Action (Erasmus Mundus)
MSc Humanitarian Action (Erasmus Mundus)
MSc International Development
MSc International Development
MSc International Relations
MSc International Relations
MSc Peace and Conflict
MSc Peace and Conflict
MSc Politics
MSc Politics
MSc Politics & Data Science
MSc Politics & Data Science
MSc Public Health
MSc Public Health
MSc Risk Management & Quality
MSc Risk Management & Quality
MSc Sociology
MSc Sociology
MSc Sport Management (Sport)
MSc Sport Management (Sport)
MSc Statistical Data Science
MSc Statistical Data Science
MSc in Human Resource Management
MSc in Human Resource Management
MSc in International Law & Business
MSc in International Law & Business
MSc in Sustainable Supply Chain Management
MSc in Sustainable Supply Chain Management
MSocSc Welfare and Justice
MSocSc Welfare and Justice
ProfMasters Social Work
ProfMasters Social Work
Executive MBA (1)
Executive MBA
Executive MBA
Full-Time MBA (1)
Full Time MBA
Full Time MBA
Arts and Humanities (1)
PhD Architecture (Research)
PhD Architecture (Research)
Engineering and Technology (1)
PhD Inclusive Design & Creative Technology Innovation
PhD Inclusive Design & Creative Technology Innovation