phd statistics ireland

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Structured PhD Programme: PhD in Mathematics & Statistics

Course details.

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Brief Description

The structured PhD programme is the advancement of knowledge through a high-quality experience of original research which is integrated with professional development. It develops students’ research knowledge and transferable skills through a formalised and integrated programme of activities. This programme develops advanced research skills for postgraduate research students in Science and Engineering Faculty.

• The PhD consists of two stages: the structured (taught modules) and the research element.
• The structured PhD provides a taught in a core programme that develops transferable research skills.
• The structured element also provides specialist disciplinary teaching to bring understanding to international research levels.
• The research element develops skills for graduates to be active and autonomous researchers.
• The Structured PhD contains the Taught component (minimum 30 credits) and Research Element (240-330 credits)
• Taught component consists of general transferable research skills (18 credits: 6 modules at 3 credits each), and subject-specific modules (minimum 12 credits). The research element comprises the remaining 240-330 credits.
• Applicants will normally be expected to hold an Honours degree (minimum 2.1) or equivalent in a discipline appropriate to their area of proposed research.
• Entry points may differ for applicants with postgraduate qualifications. Please contact the Course Director for further information.

Fees for all postgraduate programmes are revised on an annual basis.  Detailed information on fee schedules and fee regulations is available on the Fees Office website.  

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Graduate and Professional Studies

+353 (0)61 234377 University of Limerick, Limerick, Ireland

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Mathematics and Statistics

The School of Mathematics and Statistics at University College Dublin delivers a wide range of taught and research programmes at graduate level.

University College Dublin Multiple locations Dublin , Ireland Top 2% worldwide Studyportals University Meta Ranking 4.4 Read 185 reviews

These programmes reflect the breadth of our disciplines and research activity as well as the ubiquity of mathematical sciences in modern scientific research.

Features 

• Our Mathematics and Statistics Graduate Research programmes at University College Dublin (Masters by Research & PhD) provide you with the opportunity to engage in supervised research on a topic of current interest in one of the disciplines of the School.

Programme Structure

Curriculum:

• Mathematics

Key information

• 36 months
• 3 - 4 years

Start dates & application deadlines

• Starting 2024-09-01 00:00:00 Application deadline not specified.

Disciplines

Academic requirements.

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Student insurance.

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

• Additional medical costs (i.e. dental)
• Repatriation, if something happens to you or your family
• Home contents and baggage

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University College Dublin and/or in Ireland, please visit Student Insurance Portal .

Other requirements

General requirements.

• Before applying for a PhD with this School, an applicant must find a potential supervisor.
• An applicant would need to contact the academic(s) working on the particular area that they would like to study and see if anybody would be interested in supervising that area of research.

Tuition Fee

International, living costs for dublin.

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find PhD's scholarship opportunities for Mathematics and Statistics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

Read more about eligibility

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Maynooth university department of mathematics and statistics.

• Department Home

Our graduates work in a wide range of fields including Insurance, Banking, Computing, Statistical Analysis and Teaching

Data Analytics, Data Science & Statistics

Our research groups work in many areas including Statistics, Algebra and Number Theory, Geometric Analysis, Mathematics Education.

Map of the Department's National and International Collaborations. Our research groups work in the areas of Algebra and Number Theory, Geometric Analysis, Mathematics Education and Statistics.

We offer a wide variety of undergraduate programmes in Maths (Applied, Pure & Studies), Data Science & Statistics.

Hamilton Walk, School Visits and Other Events

The Department offers a variety of undergraduate and postgraduate degrees in Mathematics and Statistics designed to prepare students for jobs in many different fields. It has research groups in Algebra & Number Theory , Geometric Analysis , Mathematics Education , and Statistics .

Cuireann an Roinn cúrsaí éagsúla fochéime agus iarchéime ar fáil sa Mhatamaitic agus i Staitistic chun mic léinn a ullmhú do phoist i réimsí éagsúla. Tá grúpaí taighde ag an Roinn in Ailgéabar & Uimhirtheoiric , Anailís Gheoiméadrach , Oideachas Matamaitice, agus Staitistic mar aon le clár leathan taighde as a leanann céimeanna M.Sc agus Ph.D., i mórchuid réimsí spreagúla.

July 2024 Consultation Day

Consultation Day Schedule Maynooth University Mathematics & Statistics Department, 2nd July 2024

Date: Tuesday, 25 June 2024

2022-23 Student Prize winners reception

The Department held a reception on Monday 29th of April to celebrate our 2022-23 student Prize Winners. Department staff attended along with Professor Reviel Netz (Stanford University Suppes Professor in Greek Mathematics and Astronomy). Professor Buckley congratulated the students on their achievements.

Date: Wednesday, 19 June 2024

How to find us

The Department of Mathematics and Statistics is located in Logic House on the South Campus.

View us on the campus map

More contact details

Further Information

View the contact page for more contact and location information

Statistics and Data Science (Online) P.Grad.Cert.

Course overview.

The programme in Statistics and Data Science is a part-time course delivered fully online over three years and consisting of three component courses: a Postgraduate Certificate in year 1, a Postgraduate Diploma Top up in year 2 and Masters top up in year 3. These can be taken on a continuous basis or with interruption to the student’s course of study.

The programme provides a broad introduction to the statistical ideas and methods relevant to data gathering and analysis in a wide variety of research areas as well as business and administration. The intention is to provide students with a practical grasp of statistics based on a sound knowledge of the underlying ideas and concepts. To this end, all the material is presented in the context of practical examples from a wide range of applications.

There is only one route to enter the programme. Applicants are admitted directly to the one year part-time Postgraduate Certificate. Entry to the Diploma course is only by progression after completion of the Postgraduate Certificate. The Diploma takes 2 years part-time in total. Entry to the Masters course is only by progression after completion of the Postgraduate Certificate and Postgraduate Diploma courses. The part-time Masters takes 3 years in total to complete. The intermediate stages can be completed consecutively without any interruption to the student’s study or may be completed with interruptions as students may collect their awards at each stage and return to the Masters programme rescinding their award/s with the lifetime of the programme

Is This Course For Me?

This part-time programme is intended for graduates of disciplines, other than statistics, who want to develop and deepen their knowledge of statistical methods for solving problems involving data arising in business and industry, in public service agencies or in research.

The Certificate provides an introduction to the principal statistical methods that are used in business and industry, as well as providing background to the principles of learning from data. It also provides an introduction to some of the non-statistics elements in data science.

The Diploma deepens and extends this to more advanced and technical statistical methods and introduces further non- statistical components of data science.

The Master in Science adds a dissertation, to be completed in the third year, in close collaboration with a supervisor in the School of Computer Science and Statistics.

Graduates of the programme should be well placed to apply the ideas and methods to which they have been introduced in their own work.

Career Opportunities

The course is often taken as continuing professional development for people who need statistics to advance their career, or to move into a career where data analysis is an important aspect.  Completion of the Diploma or Masters course offers the opportunity to move to data analysis careers or a a more technical data science programme.

Course Content

Postgraduate Certificate students take 4 modules across their 1-year part-time online studies: Introduction to statistical concepts and methods; Implementing statistical methods in R; Regression; Foundations of data science 1.

Postgraduate Diploma (top up) students study online part-time for 1 further year and take 6 modules: Foundations of data science 2; Advanced linear models 1; Introduction to experimental design; Advanced linear models 2; Time series; Multivariate analysis.

Masters (top up) students study online part-time for 1 further year and take only 1 module, the Dissertation.

Click Here   for further information on modules/subjects.

Study Statistics and Data Science (Online) (M.Sc. / P.Grad.Dip. / P.Grad.Cert.) at Trinity

Course Director Professor Simon Wilson provides an overview of the online postgraduate programme in Statistics and Data Science at Trinity College Dublin.

Course Details

Number of places, next intake.

September 2024

Course Coordinator

Ms. Natasha Blanchfield

Course Director

Professor Simon Wilson

Closing Date

31st July 2024

Admission Requirements

Any Bachelor’s degree, some knowledge of mathematics (high school level/introductory level university module is sufficient), the College’s PG English language requirement if necessary.

Course Fees

Click here  for a full list of postgraduate fees

To apply, click on the relevant Apply Link below

• Statistics and Data Science (Online) P.Grad.Cert. - Full-Time|Part-Time 31/Jul/2024

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There will be no access to the my.tcd.ie direct online application portal from 17:00 on Friday 9 February until 12.00 on Monday 12 February, 2024 to facilitate an essential upgrade. Further information is available on the IT Services Alerts page using this link .

Get in Touch

Telephone number.

+353-1-896-1759

[email protected]

https://www.tcd.ie/courses/postgraduate/courses/statistics-and-data-science-online-pgradcert/

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6 Universities in Ireland offering Doctoral Degrees Statistics degrees and courses

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Maynooth University

THE World Ranking: 401

University College Dublin

THE World Ranking: 201

University of Galway

THE World Ranking: 301

University of Limerick

Trinity College Dublin, the University of Dublin

THE World Ranking: 134

Beijing-Dublin International College at BJUT

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PhD Projects, Programmes & Scholarships in Ireland

Maynooth University

One of four constituent universities of the National University of Ireland, Maynooth University is in the top 90 global Times Higher Education Young University Rankings 2024. Maynooth University is a place of lively contrasts–a modern institution, dynamic, rapidly-growing, research-led and engaged, yet grounded in historic academic strengths and scholarly traditions. With over 16,000 students from more than 120 countries, Maynooth offers a range of programmes at, Master’s and PhD level in the humanities, science and engineering, and social sciences, including business, law, and education. Maynooth’s unique collegial culture fosters an interdisciplinary approach to research, which its world-class academics bring to bear in tackling some of the most fundamental challenges facing society today. The University’s research institutes and centres consolidate and deliver this impact as vibrant communities of learning, discovery and creation. Maynooth University is recognised among the top 500 universities in the world and in the top 250 European universities.

Fully Funded PhD Scholarship in Stem-cell modelling of neuro-developmental disorders and epilepsy

Phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Funded PhD Project (Students Worldwide)

This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Fully Funded PhD Scholarship in Microwave Imaging for Bone Health Monitoring

Fully funded phd scholarship in improvement of biomethane yields from agricultural feedstock, using plasma to fix nitrogen, funded phd project (european/uk students only).

This project has funding attached for UK and EU students, though the amount may depend on your nationality. Non-EU students may still be able to apply for the project provided they can find separate funding. You should check the project and department details for more information.

Detect PNP: Detecting plant nursery pathogens using high throughput sequencing technology

Cancer-coagulation crosstalk: an investigation into dysregulated coagulation pathways in multiple myeloma., developing a psychoeducational digital health tool for psychotic-like experiences: an innovative approach to app-based intervention, development of extracellular vesicles as a non-invasive liquid biopsy for cancer diagnosis and monitoring., inhibition of oncogenic raf and ras signalling through disruption of protein-protein complexes., understanding how endocannabinoid signalling regulates immune function, risk analysis of salmonella contamination on poultry farms incorporating novel biosecurity, competition funded phd project (european/uk students only).

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities.

G-RISE: Gendered Rural Innovation System Evolution – a longitudinal study (SETU_2024_237)

Neuro-symbolic artificial intelligence, the experiences of black professionals in irish social care work (setu_2024_127, large language models for digital forensic processing (setu_2024_232).

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PhD in Ireland

• Ireland Study Options
• PhD/Research Degrees

PhD/Research Degrees in Ireland

A PhD is the highest degree awarded at universities in Ireland. Study is based on a substantial research project in an area of academic interest, typically up to 100,000 words in length, written as a thesis which must be defended in an oral examination at the end of the programme. All PhD students are assigned a supervisor, and the duration of a PhD is typically three years full-time and six years part-time.

Very few research degrees feature taught modules, and students are expected to take more responsibility for their work and schedule. Universities in Ireland are known for their academic excellence and state-of-the-art research infrastructure, along with their support for enterprise partnerships lending much value to a PhD degree from Ireland.  

PhD Entry Requirements

Irish universities are free to admit anyone to a PhD programme, with admission generally conditional on the prospective student having completed an undergraduate degree with at least upper second-class honours and a masters degree . English language ability proof is a must, and a minimum IELTS score of 6.5 is generally required. There is usually a first-year assessment to remain in study, and the thesis is submitted at the end of the completed programme.

Once you have decided on an area of research and have looked into how you will fund your study, several documents are required when submitting your application. They include:

• Academic transcripts
• Academic references
• Personal statement
• Research proposal

- PhD Research Proposal

A research proposal ( example ) is required by all students when applying to study for a PhD. The proposal should address the research you wish to undertake, how you will do it, and why it is important. A panel of experts must accept the proposal before your programme can begin.

Other types of PhD

- mphil (master of philosophy).

If you wish to study for a PhD, you may first need to begin an MPhil and then transfer to a PhD programme after 12-18 months. An MPhil is also a qualification in its own right and is generally thesis-only, lasting one year full-time and two years part-time. The thesis must present the results of a study and research and be a maximum of 60,000 words.

Students choose to study an MPhil if the proposed research has insufficient scope for a full PhD.

- MRes (Master of Research)

An MRes is an advanced postgraduate research degree in art, humanities and social sciences. Some PhDs require an MRes qualification before beginning a PhD proper, and the student must complete a 40,000-word dissertation.

An MRes is an excellent test to see if you enjoy conducting your research without fully committing to and finding funding for a full PhD.

- Professional Doctorate

Professional doctorates are similar to a PhD but are intended to advance professional practice rather than improve academic ability. Common professional doctorates include law, education, business, engineering and medicine.

How much does a PhD cost?

Funding and researching a PhD can be expensive, with non-EU students paying up to £9,000 to £30,000 per year or more, depending on the chosen programmes and institutions.

It is rare for a PhD student not to be supported by some form of bursary, grant or scholarship , and many universities and research councils provide monetary support for part or all of a PhD programme.

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6 phd-in-statistics positions in Ireland

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Post-Doctoral Researcher, School of Biological, Earth & Environmental Sciences and Environmental Research Institute

the field. Applicants are expected to have a PhD in Plant Molecular Biology, Plant Science, or a related subject. Experience in analysis of gene expression, cloning and plant transformation, protein detection

PhD studentship in Digital twins for optical networks

availability and optimal resource utilization. Three PhD studentships  are available for work in the area of Digital Twins for optical networks, making use of intelligent AI-driven control planes. The work will

Postdoctoral candidates interested in applying for the MSCA Postdoctoral Fellowship 2024 at the University of Limerick (Ireland)

» Statistics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Country Ireland Application Deadline 30 Jun 2024 - 17:00 (Europe/Dublin) Type of Contract Temporary

PhD Studentship

data-driven approach, involving data science/ statistics /machine learning methods, and will be informed by clinical literature and practice. NOTE: Applicants must have been resident in an EU member state

Post-Doctoral Researcher - PREDICT Project - School of Mechanical Engineering (Fixed term specified purpose basis for up to 5 years with funding in place for 2.5 years) (Reference: 127/2024)

statistical techniques, preferably related to building energy use (Essential). Knowledge of research techniques and methodologies used to obtain and analyse energy use in buildings, for example building

POST-DOCTORAL RESEARCHER SCHOOL OF BIOLOGICAL, EARTH AND ENVIRONMENTAL SCIENCES / ENVIRONMENTAL RESEARCH INSTITUTE

. To interact closely with postgraduate research students who are studying for a Masters or a PhD and possibly have an agreed role in supporting these students in their day to day research in conjunction with

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Statistics (Structured PhD)

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Course Overview

Course outline, course fees.

All PhD students in the College of Science will enrol in a Structured PhD:  www.nuigalway.ie/science/rgroups.html

Application areas range from agricultural sciences, educational performance, health provision evaluation, to environmental monitoring.

Short summary of the research area

This general discipline within the School has an expanding research activity with postgraduate students (PhD and MSc) and postdoctoral researchers frequently involved in collaborative projects with other researchers at NUI Galway, elsewhere in Ireland and overseas. There are three broad related current research areas: statistics: this includes methodological work in statistical modelling including random effects and mixed models, semiparametric Bayesian inference, mixture models, and smoothing.

Programmes Available

Structured PhD, 4 years, full-time. Applications are made online via the University of Galway  Postgraduate Applications System . 

Learning Outcomes

Entry requirements.

To be eligible to enter on a programme of study and research for the degree of PhD you must have reached a high honours standard at the examination for the primary degree or presented such evidence as will satisfy the Head of School and the College of your fitness.

Who’s Suited to This Course

Current research projects.

School of Mathematics 

Current funded research opportunity

Work placement, related student organisations, career opportunities, find a supervisor / phd project.

If you are still looking for a potential supervisor or PhD project or would like to identify the key research interests of our academic staff and researchers, you can use our online portal to help in that search

Current Projects

http://www.maths.nuigalway.ie/research/

Researcher Profiles

See: http://www.maths.nuigalway.ie/staff/

Fees: Non EU

Extra information.

EU Part time: Year 1 €4,250 p.a. (€4,390 including levy) 2024/25

All students, irrespective of funding, must pay the student levy of €140.

Ms. Mary Kelly  T +353 91 492 332   E  [email protected] http://larmor.nuigalway.ie/  |  www.nuigalway.ie/courses/graduate/maths/msc_statistics.html

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Considering a PhD?

Why do a PhD?

You can make a difference.

The doctoral degree is positioned at Level 10 on the National Framework of Qualifications and this degree will only be awarded where the outcome of the research makes an original and substantial contribution to knowledge.

Accomplish your career goals

Holding a PhD qualification makes you very attractive to employers looking to fill higher-level, research-driven positions. With a PhD you will be qualified for more jobs, and will have more career options than you would with a bachelor's or master's degree. It is worth noting that the vast majority of PhD graduates pursue a career outside academia.

Fulfil a journey of personal development

A PhD will develop your talents toward strategic impact whether your goals are:

• Personal : You will demonstrate enhanced resilience, confidence, and become more articulate, strategic, deliberative/non-reactive.
• Intellectual: You will be trained in critical appraisal, succinct communication, write cogently and fluently (to order if necessary), absorb, digest and synthesise a broad array of material, quick and efficient mastery of a complex brief, identify and focus on key issues/core problems.
• Professional : You will learn how to effectively manage your time, workload and resources. Working with and managing colleagues, improving your ability to take the long view, and achieve strategic focus and perspective.

Why do a PhD in Ireland?

As well as the many reasons to take on PhD education, Ireland is a fantastic country to study in for the following reasons:

• Academic legacy – Ireland provides quality and specialised education with three sectors of education: the university sector, the technological sector and the colleges of education. Ireland is also home to some of the top 200 universities in the world. 
• Research opportunities – Universities in Ireland are some of the top research institutes in the world. PhD students have the opportunity to be part of world- renowned research programmes in Ireland. 
• Career opportunities – Ireland has a busy job market that offers post-study work opportunities for graduates in almost all fields. IT, Engineering and Food and Agriculture are some of the most popular careers in Ireland.
• History and culture – Ireland is steeped in culture with beautiful historical buildings as well a thriving culture of arts, sport, music, dance and language.
• It is an EU country – Ireland’s proximity to the rest of Europe makes it a popular study destination. Ireland is about an hour or two away from most major European cities. 

Would you like to know more?

Have a look at our frequently asked questions or learn more about the journey to earning your PhD .

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UNDERGRADUATE RESEARCH EXPERIENCE IN STATISTICS

We are happy to announce Undergraduate Research Experience in Statistics (URES) to provide undergraduate Statistics students an opportunity to participate in a research experience with faculty.

• Students will apply for specific URES topics.  
• Student researchers will enroll in STAT 391: Honors Individual Study for credit and a letter grade. This is an honors experience additional to the Statistics curriculum and the credit hours earned from the URES will not count towards major requirements for the degree.
• To receive credit for this program, student researchers will prepare a final project presentation to showcase at the URES Symposium on the last day of instruction, Wednesday, December 11.  Additionally, students are encouraged to submit their projects for presentation at the yearly campus-wide Undergraduate Research Symposium in April.

Eligibility

• Open to all Statistics and Stat&CS majors.
• Faculty will select students based on an application, topics of interest, grades, and progress toward completing the Statistics degree.

Application

• All interested students must fill out an application for consideration. Applications for the Fall 2024 semester are due by 5 pm on Monday, August 16, 2024 at 5 p.m .

Any questions? Please contact Undergraduate Advising ( [email protected] )

++++++++++++++++++++++++++++++++++++++++++++++++++++++++

• I’m a new student at the University of Illinois. Can I participate in URES as an incoming student or is it advisable to participate next semester onwards?

New freshman students have many other responsibilities in their first semester to lay a foundation for a successful career here. We encourage those students to apply in a later semester. Transfer students have already had some experience at the collegiate level and are welcome to apply to URES in their first semester.

• What are my chances of getting an invitation to participate in URES?

The number of announced positions for student researchers varies per semester. It’s hard to say what one individual’s chances are of getting in because it depends on the pool of all applicants and the number of positions. My advice is to select your schedule for the coming semester as if you will not participate in URES, but have a backup plan if you do get in and need to shuffle some classes because of the added responsibility. Regardless, we encourage all students to apply for this opportunity.

• If I don’t hear from a faculty member by the end of this semester, does that mean that I won’t have undergraduate research for next semester?

Not necessarily. The opportunities on the URES application are only the ones we know about right now. As we’ve seen in past semesters, more faculty usually step forward at the beginning or even midway through a semester. The applicant pool will continue to be circulated and available to faculty leading up to and throughout the semester.

College of Arts and Sciences

Mathematics, m.s. in statistics and data science.

The discipline of statistical sciences is concerned with the art of developing techniques to gain information and make decisions from data in the presence of uncertainty. The techniques are based on the theory and tools of the various branches of mathematics, especially probability. 

A graduate education in the statistical sciences allows one an entry into many areas of physical and social sciences, medicine, business and government. There are more than 130 universities in the US that offer graduate programs in the statistical sciences. In spite of the declining graduate enrollment in most disciplines across the country, the enrollment in statistics has remained steady over the last fifteen years. An average of 1000 M.S. degrees in Statistics and Biostatistics are awarded every year. A recent study by the NSF and DOE (NSF publication 80-78) concludes that during the 90's "the supply of scientists and engineers at all degree levels will likely be more than adequate to meet demand in all fields except computer professions, statistics and some fields of engineering".

The Program

The prerequisite for admission to the M.S. degree in Statistics and Data Science is an undergraduate degree that includes at least 9 semester-hours of calculus. Students who have not had any course in linear algebra, complex variables and advanced calculus are advised to take Lehigh's Math 205 (or 244), Math 208 (or 316) and Math 301 at the earliest opportunity. 

The M.S. in Statistics and Data Science requires 30 credit hours of graduate courses with at least 18 hours of 400-level courses. The choice of the courses must be approved by the graduate advisor. Up to 6 hours of coursework may be replaced with a masters thesis.  All students in the program must also pass a comprehensive examination on basic probability, statistics and linear algebra.

The M.S. program in Statistics and Data Science has two tracks, Statistics and Stochastic Modeling. The following is a guide for courses and electives in the two tracks.  

Please see Lehigh's catalog for  course descriptions

Statistics Track

First year recommended course sequence

• MATH 309 Probability with Applications and Simulation
• MATH 312 Statistical Computing and Applications
• STAT 342 Applied Linear Algebra
• STAT 410 (Random Processes and Applications)
• STAT 434 (Mathematical Statistics)
• STAT 438 (Linear Models in Statistics with Applications)

Second Year

Select at least 4 electives from the following (not all courses are offered every year):

• STAT 412 Advanced Applied Statistics
• STAT 462 Modern Nonparametric Methods in Statistics
• STAT 461 Topics in Mathematical Statistics
• STAT 439 Time Series and Forecasting
• MATH 450 Special topics - Programming in SAS
• STAT 465 Statistical Machine Learning
• STAT 471 Topics in Statistical Learning and Computing
• STAT 474 Statistical Practice

Stochastic Modeling Track

Recommended Courses

• Math 309 Theory of Probability
• STAT 410  Random Processes
• STAT 463 Advanced Probability
• Math 401 Real Analysis I
• STAT 434 Mathematical Statistics
• STAT 438 Linear Models in Statistics with Applications
• STAT 464 Advanced Stochastic Processes
• Math 341 Mathematical Models and Their Formulation

Select one other possible elective from the following:

• STAT 408 Seminar in Statistics and Probability (Spring)
• STAT 409 Seminar in Statistics and Probability (Fall)
• Math 320 Ordinary Differential Equations
• Math 340 Design and Analysis of Algorithms
• Math 402. Real Analysis II
• Math 407 Theory and Techniques of Optimization
• Math 430 Numerical Analysis
• Math 467 Financial Calculus I
• Math 468 Financial Calculus II
• Eco. 453 Index Numbers and Time Series Analysis
• CSE 411 Advanced Programming Techniques
• I.E. 316 Advanced Operations Research Techniques
• I.E. 339 Queuing Theory
• I.E. 409 Time Series Analysis
• I.E. 416 Dynamic Programming
• I.E. 439 Applications of Stochastic Processes

Additional Information

Current Math courses to be cross-listed in the catalog as STAT courses are as follows. We have elevated some 300 level Math courses to the level of 400 STAT courses in order to facilitate meeting the 18 credit hour requirement for M.S. in Statistics and Data Science.

• STAT 410 = Current Math 310
• STAT 434 = Current Math 334
• STAT 438 = Current Math 338
• STAT 462 = Current Math 462
• STAT 461 = Current Math 461
• STAT 463 = Current Math 463
• STAT 464 = Current Math 464

An undergraduate student will receive 4 hours of credit if enrolled in Math 310, 334, 312 or 338 but 3 hours of credit if enrolled in STAT 410, 434, 412 or 438.

For more information, please send e-mail to  [email protected] .

Program Requirements

Yale rower wins bronze for Ireland in Paris Olympics

Published august 1, 2024 • updated on august 1, 2024 at 8:49 am.

Daire Lynch, a Yale graduate from Ireland, is an Olympic bronze medalist.

Lynch and Philip Doyle took a bronze in the final of the men’s double sculls for the Irish team in Paris on Thursday morning.

Free 24/7 Connecticut news stream: Watch NBC CT wherever you are

According to the Olympic Federal of Ireland , they have now won four medals. They won a gold and a bronze in Tokyo and a silver in Rio.

329 medal events. 32 sports. Endless drama. Catch all the action at the Paris Olympics. Sign up for our free Olympics Headlines newsletter.

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The ranges in the chart below represent the middle 50 percent of students offered admission to their first-choice campus for summer/fall 2024—they are not cutoffs or averages. These ranges are for estimating purposes only and in no way represents a promise or guarantee of admission.

Placing in the upper end of both ranges increases the likelihood of being offered your first choice of campus and/or major. Placing in the lower end may require you to be more flexible in making your campus (and perhaps major) choices.

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New PhD Programme in Foundations of Data Science is Launched

 - A total of 139 PhD students will benefit from this programme which will give them a world-class foundational understanding of Applied Mathematics, Statistics and Machine Learning

A new industry and Government supported PhD programme in  Foundations of Data Science was launched today by Mary Mitchell O Connor, TD, Minister of State at the Department of Education and Skills with special responsibility for Higher Education, at an event in the Royal Irish Academy, Dublin.

The  Science Foundation Ireland (SFI) Centre for Research Training (CRT) in Foundations of Data Science is a large-scale collaborative initiative between University College Dublin (UCD), University of Limerick (UL), Maynooth University (MU) and industry partners and is coordinated by  Skillnet Ireland and Technology Ireland ICT Skillnet .

The CRT was announced earlier this year, with an investment of €21 million by SFI, academia and industry, to support a total of 139 PhD students to respond to the rapidly-evolving needs of Ireland’s data science industry. The first cohort of 27 PhD students will take their places at the new CRT in September.

Minister Mary Mitchell O’Connor TD said, “The Government is committed to developing Ireland’s data science industry as a globally recognised centre of excellence and will continue to support programmes such as this within higher education while also supporting industry needs by creating exciting new opportunities for innovation across all sectors”.

“This SFI Centre for Research Training will play a vital role in giving this idea due importance. The world of work is changing, and skills gained from Applied Mathematics, Statistics and Machine Learning are transferable across industries.”

“It also brings into light that we need to maintain a constant focus on what skills are required for economic competitiveness. This programme is an example of the Government’s Future Jobs initiative in practice, helping to create a future-proofed workforce and prepare for tomorrow’s economy.”

The CRT programme offers students a unique career pathway that will see them develop cutting-edge tools and technologies to provide insights to help shape industry and policy across the country. It will not only help mobilise the power of data nationally for industry across multiple sectors but will also assist in establishing Ireland as a leading data science research nation with a sustainable flow of expertise.

Professor James Gleeson (UL) is leading the Centre with co-Directors, Associate Professor Claire Gormley, UCD School of Mathematics and Statistics and Professor Ken Duffy (MU).

Dr Ruth Freeman, Director of Science for Society, Science Foundation Ireland, said, “Investment in skills development in areas like Data Sciences is important for our economy and society in Ireland. Data Science is already at the heart of many industries and will be critical for many more in the future, including to deliver efficient and effective public services." 

"I would like to congratulate the researchers in the Higher Education Institutions and companies that have come together to develop this outstanding programme of training and research, which also includes diverse transferable skills.”

This industry supported programme will give students an in-depth training in the fundamental data-science skills necessary to adapt to the way data, and data-enabled technologies such as artificial intelligence, are transforming the economy.

Professor Orla Feely, UCD Vice-President for Research, Innovation and Impact said, “The SFI Centre for Research Training in Foundations of Data Science launched today will provide an environment to train doctoral students to become data scientists and to equip them with the skills they need for the jobs of the future in areas such as data analytics, robotics and smart manufacturing. I wish the Centre first’s intake of 27 students, 9 of whom will be hosted here at UCD, every success on their PhD journeys which they have just embarked upon.”

In an environment which is increasingly difficult for organisations to find the data science talent they need to fuel their ever more data heavy strategies, students will engage with industries and enterprises, to develop an understanding of the real-world applications of data science, gaining crossover skills and an appreciation for true impact in the process.

Professor James Gleeson, University of Limerick said, “ This programme will produce graduates who will become Ireland’s future leaders, innovators, entrepreneurs and employers. Students will get a unique opportunity to work with some of the best researchers and innovative companies working in this area.”

“This programme displays the combined strengths of higher education and enterprise networks in the face of new challenges we all face in our quest to flourish as an economy. The participation of Skillnet Ireland, Irish industry and enterprise, will enable the SFI Centre for Research Training in Foundations of Data Science to create a future-proofed workforce.”

Mark Jordan, Chief Technologist, Skillnet Ireland said, “ We are delighted to provide industry support to our academic partners in the area of Data Science. This PhD programme will meet identified challenges in science and shape the future of workforce development.”

“The 139 PhD students trained will gain a foundational understanding that will make them uniquely adaptable to the rapidly-evolving needs of both Ireland’s data science industry and our economy. Research in areas of national importance will allow academia and industry to investigate the bespoke skills that are required to succeed in business but also what’s needed in the area of national importance.”

“We continue to actively develop innovative solutions for enterprise and the challenges they face through workforce planning at a strategic level. The new development and investment in this CRT will open new doors for research and education.”

17 September 2019

For further information contact Micéal Whelan, Communications and Media Relations Manager, UCD Research and Innovation, e: [email protected] , t: +353 1 716 3712 Pearse Corcoran, e: [email protected] .

Editors Notes

Skillnet Ireland is the national agency responsible for the promotion and facilitation of workforce learning in Ireland. Skillnet Ireland funds over 50 industry representative groups, supporting over 16,000 companies and 56,000 trainees annually.  Technology Ireland ICT Skillnet, funded by Skillnet Ireland, is a network of companies who collaborate to address skills needs within the technology sector.   www.ictskillnet.ie

Science Foundation Ireland (SFI) is the national foundation for investment in scientific and engineering research. Science Foundation Ireland funds oriented basic and applied research in the areas of science, technology, engineering, and mathematics (STEM) which promotes and assists the development and competitiveness of industry, enterprise and employment in Ireland. www.sfi.ie

Through additional funding allocated to Science Foundation Ireland by the Department of Business, Enterprise and Innovation, Science Foundation Ireland has developed and implemented a new cohort-based postgraduate research training programme, the SFI Centres for Research Training, to fund enrolment of additional 700 students in the areas of digital, data and ICT from 2019 onwards.  http://www.sfi.ie/funding/funding-calls/centres-for-res-training/

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Shihao Wu, Jing Ouyang, Chengyu Cui, Bo Meng, and Zhiwei Xu have won the Graduate Student Research Competition Award at the 2024 IMPS

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Contratulations to Shihao Wu, Jing Ouyang, Chengyu Cui, Bo Meng, and Zhiwei Xu for winning the  Graduate Student Research Competition Award  at the 2024 International Meeting of Psychometric Society (IMPS). Their project title is "Expanding the Scope of Data Sources in Psychometric Research by Embedding Individual Records using Generative AI".

Congrats all!

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