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Masters Degrees in Applied Statistics, Ireland

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Programming for biology. Overview of molecular biology/genetics concepts. Statistical computing in R. Algorithms for molecular biology. Read more

Core modules

• Programming for biology
• Overview of molecular biology/genetics concepts
• Statistical computing in R
• Algorithms for molecular biology
• Medical genomics I: genomics of rare and common diseases
• Medical genomics II: the cancer genome
• Genomics techniques I: sequencing library preparation
• Genomics techniques II: genomics data analysis

Optional modules

• Scientific visualization
• Probabilistic models for molecular biology
• Molecular and cell biology of cancer
• Advanced and applied immunology
• Stochastic processes
• Machine learning
• Applied statistics
• Advanced probability with applications
• Linear modeling
• Bayesian Modeling

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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 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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This course will help you analyse and understand the large data sets that are regularly being created via the huge growth in freely available online information. Read more
This course will help you analyse and understand the large data sets that are regularly being created via the huge growth in freely available online information. This is an exceedingly valuable skill and in strong demand from employers. We see Data Analytics as a subject at the crossroads between statistics and computer science, and our Online Professional Diploma contains elements of both. We will give you the tools to apply these advanced skills to maximum effect in any work-related environment.

There are no lectures to attend. Students will be given videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction via course tutors through the UCD website.

Please visit our School website for more information.

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The Online MSc in Data Analytics covers 18 5-credit modules, two per semester over 9 semesters or 3 years, of which the Online Professional Diploma in Data Analytics covers the first 4. Read more
The Online MSc in Data Analytics covers 18 5-credit modules, two per semester over 9 semesters or 3 years, of which the Online Professional Diploma in Data Analytics covers the first 4. This first year is designed to introduce you to statistical and mathematical concepts in Data Analytics and Data Mining, and to get you started on programming with data. The second year is split between understanding the theory behind statistical and mathematical models for data via predictive analytics, and dealing with data sets at scale using Python and multivariate techniques. The final year covers some advanced methods: Monte Carlo, Bayesian Analysis, Time Series Data, and Complex Stochastic models. A provisional list of topics is as follows:

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The aim of this course is to enable graduates having some mathematical background attain the level required to teach the subject in schools. Read more

Overview

The aim of this course is to enable graduates having some mathematical background attain the level required to teach the subject in schools. On completion, students should attain a level of mastery comparable to that of Joint-Honours graduates in Mathematical Studies.

Students considering taking this course with a view to teaching Mathematics are strongly advised to talk to the Teaching Council in advance.

Course Structure

This is a one-year full-time course, though it may also be taken part-time over two or more years. Modules include Graph Theory, numerical Analysis, Mathematical Biology, Elementary Number theory, Introduction To Statistics, Linear Algebra, Calculus and Complex Analysis.

Career Options

The course supports students to attain the skills required to become a teacher of mathematics in secondary schools.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MHR57

The following information should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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The aim of this course is to enable graduates having some mathematical background attain the level required to teach the subject in schools. Read more

Overview

The aim of this course is to enable graduates having some mathematical background attain the level required to teach the subject in schools. On completion, students should attain a level of mastery comparable to that of Joint-Honours graduates in Mathematical Studies.

Students considering taking this course with a view to teaching Mathematics are strongly advised to talk to the Teaching Council in advance.

Course Structure

This is a one-year full-time course, though it may also be taken part-time over two or more years. Modules include Graph Theory, numerical Analysis, Mathematical Biology, Elementary Number theory, Introduction To Statistics, Linear Algebra, Calculus and Complex Analysis.

Career Options

The course supports students to attain the skills required to become a teacher of mathematics in secondary schools.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code

MHR56

The following information should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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The MSc in Data Science and Analytics is a 12 month conversion course (new in 2017) designed to give students the knowledge and skills to collect, process analyse and visualise data in order to extract useful information, explore patterns and evaluate models. Read more

Overview

The MSc in Data Science and Analytics is a 12 month conversion course (new in 2017) designed to give students the knowledge and skills to collect, process analyse and visualise data in order to extract useful information, explore patterns and evaluate models. The course is a collaboration between the Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation.

Course Structure

Students will gain skills in programming, statistics and databases, followed by an advanced module on statistical machine learning. The course includes material on the social and ethical consequences of the use of data and the implications for business and government. Applications from many industry sectors will be explored in our Case Studies module. In the Project module, students will put these technical skills in to practice. They will also gain experience in report writing, presentations and teamwork. Students also do a 30-credit thesis.

Career Options

The Data Analytics jobs market is expanding in Ireland. Jobs are available in any industry or sector that collects data, ranging from IT, to Healthcare, Finance, Food science and Travel.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code

MHR64

If you need any additional guidance, please contact the programme director, Dr Catherine Hurley ().
The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:
Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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