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Masters Degrees (Msc Statistics)

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The MSc Statistics (Social Statistics) aims to provide high-level training in the theory and application of modern statistical methods, with a focus on methods commonly used in the social sciences. Read more

About the MSc programme

The MSc Statistics (Social Statistics) aims to provide high-level training in the theory and application of modern statistical methods, with a focus on methods commonly used in the social sciences. You will gain insights into the design and analysis of social science studies, including large and complex datasets, study the latest developments in statistics, and learn how to apply advanced methods to investigate social science questions.

The programme includes two core courses which provide training in fundamental aspects of probability and statistical theory and methods, the theory and application of generalised linear models, and programming and data analysis using the R and Stata packages. These courses together provide the foundations for the optional courses on more advanced statistical modelling, computational methods and statistical computing. Options also include specialist courses from the Departments of Methodology, Economics, Geography and Social Policy. Students on the taught master’s programme will take optional courses to the value of two units, while those on the research track will substitute one unit with a dissertation.

Graduate destinations

The programme will prepare graduates for work within the public sector, market research organisations and survey research organisations, or for further study.

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Graduates with skills in these areas are in demand. The course is about applying probabilistic, statistical and mathematical techniques in the finance industry. Read more

About the course

Graduates with skills in these areas are in demand. The course is about applying probabilistic, statistical and mathematical techniques in the finance industry. It’s based on the MSc Statistics with additional training in the concepts, models and tools of modern mathematical finance. This course is accredited by the Royal Statistical Society.

Your career

Our graduates go into finance, manufacturing and pharmaceuticals. They work for government agencies and research institutes with major organisations such as First Direct, GlaxoSmithKline, Marks and Spencer, the Government Statistical Service and Medical Research Council units. Our courses can also prepare you for PhD-level research.

About us

Our academics are in demand. They are members of international societies and organisations, and they speak at conferences around the world. They bring new ideas into the classroom so you can see how research is improving on existing approaches. Our solar scientists were the first to record musical sounds created by vibrations in the sun’s atmosphere.

Our Statistical Services Unit works with industry, commerce and the public sector. The services they provide include consultancy, training courses and computer software development.

Different ways to study

You can study full-time over a year or part-time over two to three years via online distance learning. The MSc Mathematics is only available as a full-time course.

Studentships

You may be able to get funding from the University or an external company. Course-specific studentships may also be available. You should apply for these as soon as possible.

Core modules

Data Analysis; Statistical Laboratory; Linear Models; Inference; Financial Mathematical, Dependent Data; Stochastic Processes and Finance.

Teaching and assessment

There are lectures, tutorials and computing sessions. You’ll do group work, presentations and role play. Most statistics lectures are recorded so you can watch them again later.

The distance learning option is taught online with support via email and phone. Distance learners also come to the University for residential weeks. You’re assessed by exams, project work and a dissertation.

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This new course is run in conjunction with the Medical Statistics Group in the University’s School of Health and Related Research (ScHARR). Read more

About the course

This new course is run in conjunction with the Medical Statistics Group in the University’s School of Health and Related Research (ScHARR). Accredited by the Royal Statistical Society, it provides professional training for a career in the medical, pharmaceutical and health services industries. The course is based on the MSc Statistics with additional training in specialist areas of medical applications.

Your career

Our graduates go into finance, manufacturing and pharmaceuticals. They work for government agencies and research institutes with major organisations such as First Direct, GlaxoSmithKline, Marks and Spencer, the Government Statistical Service and Medical Research Council units. Our courses can also prepare you for PhD-level research.

About us

Our academics are in demand. They are members of international societies and organisations, and they speak at conferences around the world. They bring new ideas into the classroom so you can see how research is improving on existing approaches. Our solar scientists were the first to record musical sounds created by vibrations in the sun’s atmosphere.

Our Statistical Services Unit works with industry, commerce and the public sector. The services they provide include consultancy, training courses and computer software development.

Different ways to study

You can study full-time over a year or part-time over two to three years via online distance learning. The MSc Mathematics is only available as a full-time course.

Studentships

You may be able to get funding from the University or an external company. Course-specific studentships may also be available. You should apply for these as soon as possible.

Core modules

Data Analysis; Statistical Laboratory; Linear Models; Epidemiological Methods and Time Series; Bayesian Inference and Further Clinical Trials; Sampling, Design and Medical Statistics.

Teaching and assessment

There are lectures, tutorials and computing sessions. You’ll do group work, presentations and role play. Most statistics lectures are recorded so you can watch them again later.

The distance learning option is taught online with support via email and phone. Distance learners also come to the University for residential weeks. You’re assessed by exams, project work and a dissertation.

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The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance. Read more

About the MSc programme

The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance. It provides high-level training in statistics with applications in finance and econometrics. You will learn to analyse and critically interpret data, build statistical models of real situations, and use statistical software packages.

There are three compulsory courses. Statistical Inference: Principles, Methods and Computation will provide comprehensive coverage of fundamental aspects in probability and statistical methods and principles, while Time Series will provide solid training in statistical time series analysis. Modern data analytics, together with topics such as financial time series, asset pricing and portfolio choice, and some aspects of continuous-time finance will be provided in the course Financial Statistics. You will also learn to code in the R statistical computing environment.

Students on the taught master’s programme will take optional courses to the value of two units, including selected options from the Department of Finance. Those on the research track will substitute one unit with a dissertation, making the research track a 12 month programme.

Graduates of the programme are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society if a specific combination of modules is taken.

Graduate destinations

The programme provides excellent opportunities for employment and further study. The programme is also conditionally accredited by the Royal Statistical Society. This means that although an accreditation is given, it will only lead to the award of ‘Graduate Statistician’ when students have taken a specific combination of modules.

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This programme provides intensive training in statistics applicable to the social sciences, econometrics and finance. The aim of the programme is to foster an interest in theoretical and applied statistics and equip you for work as a professional statistician. Read more

About the MSc programme

This programme provides intensive training in statistics applicable to the social sciences, econometrics and finance. The aim of the programme is to foster an interest in theoretical and applied statistics and equip you for work as a professional statistician. You will learn how to analyse and critically interpret data, build statistical models of real situations, and use programming tools and statistical software packages.

The compulsory course in Statistical Inference: Principles, Methods and Computation will provide you with comprehensive coverage of fundamental aspects of probability and statistics methods and principles. This course provides the foundations for the optional courses on more advanced statistical modelling, computational methods, statistical computing and advanced probability theory. Options also include specialist courses from the Departments of Methodology, Management, Mathematics, Economics and Social Policy. Students on the taught master’s programme will take optional courses to the value of three units, while those on the research track will substitute one unit with a dissertation, making the research track a 12 month programme.

Graduates of the programme are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society.

Graduate destinations

Students on this programme have excellent career prospects. Former students have taken up positions in consulting firms, banks and in the public sector. Many go on to take higher degrees. Graduates of the MSc are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society.

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This course prepares you for a career as a statistician. You’ll learn how to solve practical statistical problems and develop personal skills including presentation and time management. Read more

About the course

This course prepares you for a career as a statistician. You’ll learn how to solve practical statistical problems and develop personal skills including presentation and time management. This course is accredited by the Royal Statistical Society.

Your career

Our graduates go into finance, manufacturing and pharmaceuticals. They work for government agencies and research institutes with major organisations such as First Direct, GlaxoSmithKline, Marks and Spencer, the Government Statistical Service and Medical Research Council units. Our courses can also prepare you for PhD-level research.

About us

Our academics are in demand. They are members of international societies and organisations, and they speak at conferences around the world. They bring new ideas into the classroom so you can see how research is improving on existing approaches. Our solar scientists were the first to record musical sounds created by vibrations in the sun’s atmosphere.

Our Statistical Services Unit works with industry, commerce and the public sector. The services they provide include consultancy, training courses and computer software development.

Different ways to study

You can study full-time over a year or part-time over two to three years via online distance learning. The MSc Mathematics is only available as a full-time course.

Studentships

You may be able to get funding from the University or an external company. Course-specific studentships may also be available. You should apply for these as soon as possible.

Core modules

Data Analysis; Statistical Laboratory; Linear Models; Dependent Data; Inference; Sampling, Design and Medical Statistics.

Teaching and assessment

There are lectures, tutorials and computing sessions. You’ll do group work, presentations and role play. Most statistics lectures are recorded so you can watch them again later.

The distance learning option is taught online with support via email and phone. Distance learners also come to the University for residential weeks. You’re assessed by exams, project work and a dissertation.

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Statistics is thriving at Kent, and the research of the Group was rated in the top ten in the UK in the most recent Research Assessment Exercise. Read more
Statistics is thriving at Kent, and the research of the Group was rated in the top ten in the UK in the most recent Research Assessment Exercise. We are also one of the main hubs of the National Centre for Statistical Ecology. Recently, we have updated our MSc in Statistics and introduced a new MSc in Statistics with Finance. Both programmes are accredited by the Royal Statistical Society.

*This course will be taught at the Canterbury campus*

Visit the website: https://www.kent.ac.uk/courses/postgraduate/167/statistics-with-finance

Course detail

The MSc in Statistics with Finance is accredited by the Royal Statistical Society (RSS) and is excellent preparation for careers in any field requiring a strong statistical background.

Purpose

This programme trains students for careers using statistics in the financial services industry. You study the statistical modelling underpinning much modern financial engineering combined with a deep understanding of core statistical concepts. The programme includes modelling of financial time series, risk and multivariate techniques.

Format and assessment

You undertake a substantial project in the area of finance or financial econometrics, supervised by an experienced researcher. Some projects are focused on the analysis of particular complex data sets while others are more concerned with generic methodology.

You gain experience of analysing real data problems through practical classes and exercises. The course includes training in the computer language R.

Assessment is through coursework and formal examinations.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

How to apply: https://www.kent.ac.uk/courses/postgraduate/apply/

Why study at The University of Kent?

- Shortlisted for University of the Year 2015
- Kent has been ranked fifth out of 120 UK universities in a mock Teaching Excellence Framework (TEF) exercise modelled by Times Higher Education (THE).
- In the Research Excellence Framework (REF) 2014, Kent was ranked 17th* for research output and research intensity, in the Times Higher Education, outperforming 11 of the 24 Russell Group universities
- Over 96% of our postgraduate students who graduated in 2014 found a job or further study opportunity within six months.
Find out more: https://www.kent.ac.uk/courses/postgraduate/why/

Postgraduate scholarships and funding

We have a scholarship fund of over £9 million to support our taught and research students with their tuition fees and living costs. Find out more: https://www.kent.ac.uk/scholarships/postgraduate/

English language learning

If you need to improve your English before and during your postgraduate studies, Kent offers a range of modules and programmes in English for Academic Purposes (EAP). Find out more here: https://www.kent.ac.uk/courses/postgraduate/international/english.html

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Our department's Master’s program encompasses three fields. Statistical Theory, Actuarial Science and Financial Modelling. Students in the Statistical Theory field will study probability, inference, statistical computing and data analysis in depth. Read more
Our department's Master’s program encompasses three fields: Statistical Theory, Actuarial Science and Financial Modelling. Students in the Statistical Theory field will study probability, inference, statistical computing and data analysis in depth. Students in the Actuarial Science field will learn about survival analysis, risk, ruin, mortality and their connections with finance. Students in the Financial Modelling field will learn the theory and application of deterministic and stochastic models used in the banking industry.

Visit the website: http://grad.uwo.ca/prospective_students/programs/program_NEW.cfm?p=140

How to apply

For information on how to apply, please see: http://grad.uwo.ca/prospective_students/applying/index.html

Financing your studies

As one of Canada's leading research institutions, we place great importance on helping you finance your education. It is crucial that you devote your full energy to the successful completion of your studies, so we want to ensure that stable funding is available to you.
For information please see: http://grad.uwo.ca/current_students/student_finances/index.html

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International Master's in Statistics - MSc. https://www.kent.ac.uk/courses/postgraduate/163/international-masters-statistics. Read more
International Master's in Statistics - MSc: https://www.kent.ac.uk/courses/postgraduate/163/international-masters-statistics

Overview

The International Master’s in Statistics develops your practical, statistical and computing skills to prepare you for a professional career in statistics or as a solid basis for further research in the area.

The programme has been designed to provide a deep understanding of the modern statistical methods required to model and analyse data. You will benefit from a thorough grounding in the ideas underlying these methods and develop your skills in key areas such as practical data analysis and data modelling.

It has been accredited by the Royal Statistical Society (RSS) and equips aspiring professional statisticians with the skills they need for posts in industry, government, research and teaching. It also enables you to develop a range of transferable skills that are attractive to employers within the public and private sectors.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics.

International Master's in Statistics with Finance - MSc: https://www.kent.ac.uk/courses/postgraduate/164/international-masters-statistics-finance

Overview

This programme, accredited by the Royal Statistical Society (RSS), equips aspiring professional statisticians with the skills they will need for posts in industry, government, research and teaching. It is suitable preparation too for careers in other fields requiring a strong statistical background.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics with Finance.

About the School of Mathematics, Statistics and Actuarial Science (SMSAS)

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

Statistics at Kent provides:

- a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers

- teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work

- advanced and accessible computing and other facilities

- a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

Research areas

Biometry and ecological statistics
Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

Bayesian statistics
Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.
Bioinformatics, statistical genetics and medical statistics
Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

Nonparametric statistics
Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

Professional recognition

The taught programmes in Statistics and Statistics with Finance provide exemption from the professional examinations of the Royal Statistical Society and qualification for Graduate Statistician status.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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This programme is an ideal opportunity to provide yourself with the analytical and statistical skill set necessary for success in industry, business or in the public sector. Read more
This programme is an ideal opportunity to provide yourself with the analytical and statistical skill set necessary for success in industry, business or in the public sector. From day one you will find yourself working with multinational organisations on case studies to develop your abilities in applied analytics and statistics. Opportunities for summer projects in a wide range of industries are an integral part of the programme.

Full time study: This one year master programme is suitable for numerate graduates. The MSc programme lasts for twelve months.

The MSc programme in Operational Research and Statistics provides students with the ideal skill set in mathematical modelling, experimental design, statistical analysis, and numerical computation. This programme also provides soft skills such as communicating results to managers/executives. These prepare students to pursue a wide variety of career opportunities in industry, business or in the public sector.

A highlight of the programme is the three-month summer project: it may be either in Operational Research or Statistics (or the interface between the two). You will have the option to bid for an external project which is usually based at a nearby company and requires working on a real problem of practical importance to that company. You also have the option to work on an internal project which might involve data from external sources. The MSc project consists of an individual investigation and is under the supervision of a member of staff. This project enables students to integrate and consolidate skills learned on the course (and to fulfil deliverables for the sponsoring company in the case of an external project).

In summary, the learning and teaching aims of the programme are:
1. To give you knowledge of operational research techniques and applied statistical theory and methods at an advanced level;
2. To train you for careers as either an operational researcher or as a statistician.
3. To enable you to develop oral and written communication skills.
4. To give you experience of applications of operational research and statistical methods.

Introducing your course

Operational researchers and statisticians play a fundamental role in the modern world. This MSc will equip you with the necessary skills and knowledge to provide effective solutions to complex organizational challenges. This includes all key stages of solving real-world problems:

-Providing analytical understanding the problem; possibly through designing experiments, collecting and visualizing data
-Mathematically formulating the problem and finding solution approaches
-Providing statistical analysis and computation
-Presenting and communicating the results

The programme contains compulsory modules that provide the foundation in both Operational Research and Statistics, and optional modules for students to specialise in these two areas (or to have a balance portfolio of them).

The summer dissertation gives you an opportunity to develop your research skills, often in a commercial setting, and our industrial liaison team will work with you to find a project that suits your skills and ambitions.

What is Operational Research?

Operational Research is the application of scientific methods to the study of complex organisational problems. It is concerned with applying advanced analytical methods to make effective decisions in strategic planning or operational planning, and build more productive systems.

What is Statistics?

Statistics is concerned with decision-making in the face of uncertainty, and lies at the heart of the type of quantitative reasoning necessary for making important advances in the sciences, such as medicine and genetics, and for making important decisions in business and public policy.

Why do an MSc?

An MSc is generally accepted as being highly desirable for starting and developing a career in OR. The MSc is also a good preparation for research work.
http://www.southampton.ac.uk/cormsis/mscsummerproject/index.page
A highlight of the programme is the 3-month summer project. The student is usually placed with a nearby company and works on a real problem of practical importance to that company.

Environment

The Operational Research Group and the Statistics Group in Mathematics are strong committed teams of 20 lecturing staff and a number of research staff. The Groups teach a wide range of undergraduate and postgraduate courses, as well as undertaking consultancy work for outside organisations. Many of the staff are internationally known in their fields of research.
The 2013 QS subject world rankings places Statistics and Operational Research at Southampton 44th in the world and 5th in the UK.

CORMSIS Business Advisory Board

This Committee is a good indicator of the high regard in which the Southampton MSc programmes involving Operational Research are held by outside organisations. Its purpose is to ensure that the MSc programmes produce graduates with the requisite skills for the needs of industry. It also provides a focal point for liaison between the Operational Research Group and industry. You have the chance to meet the Committee several times during the year. Major companies including Shell, British Airways, BAA, BT, The AA, Dstl and HM Revenue & Customs are represented on the Committee.

Programme Structure

The full-time MSc is completed over a 12-month period. There are two semesters of taught material, which account for 60 ECTS (120 CATS), together with an MSc project (typically undertaken in the summer), which accounts for 30 ECTS (60 CATS).

The structure of the programme provides you with a foundation in both Operational Research and Statistics. It also allows you to select several optional modules from a broad range of topics in Semester 2 so that you can specialise in either Operational Research or Statistics (or to choose a balanced portfolio of options). These are complemented by careers talks, with speakers from a wide range of organisations providing an appreciation of the developments in, and use of, Operational Research and Statistics in practice, and presentations on employability skills.

While studying for your degree, you will develop key transferrable skills, such as written and oral communication, presentation skills, teamwork, the use of IT (e.g. some Optimisation, Simulation, and Statistical software), time management, and basic research skills including the use of the web and the library.

Learning & Assessment

The programme is taught through a mixture of lectures, computer workshops, case studies and project work. Assessment is made using examinations, presentations, coursework assignments and a final dissertation.

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The MSc in Medical Statistics combines in-depth training in mainstream advanced statistical modelling with a specialisation in medical applications. Read more

The MSc in Medical Statistics combines in-depth training in mainstream advanced statistical modelling with a specialisation in medical applications.

This flexible degree programme allows you to blend theoretical and applied statistical disciplines, ideal for training in medical statistics. It combines compulsory and optional modules allowing you to train in a range of statistical techniques (and transferable skills) suitable for either careers in medical statistics and research-related professions, or for further academic research.

Options within the course vary from mainstream topics in statistical methodology to more specialised areas such as epidemiology and biostatistics.

You can also study this programme part time over 24 months.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Accreditation

Accreditation from the Royal Statistical Society is pending.

Course content

The first two semesters of your course will consist of taught modules, and in the third semester you’ll devote your time to a major dissertation in statistics or a research project in applied epidemiology and biostatistics. Within each semester you have the opportunity to choose from a range of optional modules, allowing you to specialise in the area of study of most interest to you.

You’ll be taught by experts from the School of Mathematics, The Centre for Epidemiology and Biostatistics, and The Clinical Trials Research Unit at Leeds, each bringing a different perspective to the subject of medical statistics.

You’ll be supervised for both your taught modules and your research project by professionals across the teaching units and you will be given the opportunity to utilise existing links with individual clinicians and medical research groups in the University of Leeds, Leeds NHS trust, and the Department of Health’s Information Centre in Leeds.

Throughout the course you’ll learn about new developments in statistics and be provided with the opportunity to undertake data analysis for a wide variety of statistical problems. You’ll build an appreciation of theoretical and practical perspectives on issues in medical statistics, whilst developing the ability to select and apply appropriate statistical methods for the analysis of medical data using suitably chosen software packages.

Course structure

Compulsory modules

  • Introduction to Clinical Trials 15 credits
  • Core Epidemiology 15 credits
  • Introduction to Modelling 15 credits
  • Statistical Computing 15 credits

Optional modules

  • Research Project 60 credits
  • Multilevel and Latent variable Modelling 15 credits
  • Professional Spine 15 credits
  • Independent Learning Skills in Epidemiology and Biostatistics 15 credits
  • Advanced Modelling Strategies 15 credits
  • Advanced Epidemiological Techniques 15 credits
  • Linear Regression and Robustness 15 credits
  • Statistical Theory 15 credits
  • Multivariate Analysis 10 credits
  • Time Series 10 credits
  • Bayesian Statistics 10 credits
  • Generalised Linear Models 10 credits
  • Introduction to Statistics and DNA 10 credits
  • Linear Regression and Robustness and Smoothing 20 credits
  • Multivariate and Cluster Analysis 15 credits
  • Time Series and Spectral Analysis 15 credits
  • Bayesian Statistics and Causality 15 credits
  • Generalised Linear and Additive Models 15 credits
  • Independent Learning and Skills Project 15 credits
  • Dissertation in Statistics 60 credits
  • Statistics and DNA 15 credits

For more information on typical modules, read Medical Statistics MSc in the course catalogue

Learning and teaching

This course is taught by experts from the School of Mathematics, the Centre for Epidemiology and Biostatistics, and the Clinical Trials Research Unit at Leeds. You’ll study a mixture of modules taught by specialists in each area depending on your chosen optional modules. Teaching is done through a combination of lectures, small group workshops and a small number of practical exercises.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The project is assessed by a written dissertation and a short oral presentation.

Career opportunities

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.

The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organizations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.

As a graduate of medical statistics you will have specialist knowledge that will help you progress your career into areas such as medical or epidemiological research. There are several aims to medical research, all of which involve a significant amount of statistics, monitoring and surveillance of health and disease, establishing causes of disease or factors associated with death or disease, detecting disease, preventing death or disease and evaluating treatments for disease. Medical statisticians looking to follow a career in medical research are mainly employed by pharmaceutical companies, university medical schools, research units and the NHS.

A medical statistician could also go into consultancy giving advice to researchers looking to set up clinical trials and needing their project to be assessed before funding is granted.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.




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These programmes offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS). Read more
These programmes offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS).

Research interests are diverse and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semi-parametric modelling; risk and queueing theory; shape statistics.

Visit the website https://www.kent.ac.uk/courses/postgraduate/169/statistics

About the School of Mathematics, Statistics and Actuarial Science (SMSAS):

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

Statistics at Kent provides:

- a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers

- teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work

- advanced and accessible computing and other facilities

- a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

Course structure

The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects.

There are strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad.

The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience.

Research areas

- Biometry and ecological statistics

Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

- Bayesian statistics

Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.

- Bioinformatics, statistical genetics and medical statistics

Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

- Nonparametric statistics

Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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When you study mathematics and statistics at the University of Helsinki, some of the best mathematicians and statisticians in the world will be your instructors. Read more
When you study mathematics and statistics at the University of Helsinki, some of the best mathematicians and statisticians in the world will be your instructors. Studies in this Master’s programme will give you a solid basis for maths and statistics applications. Graduates of this Master’s programme find employment as researchers, teachers, and in demanding expert posts in the public and private sectors in Finland and abroad.

The Master’s programme in mathematics and statistics is based on top research. The teaching within the sub-programmes at the University of Helsinki follows a high standard and is highly valued, not just within Finnish academia but in global university rankings. Upon graduating from this Master’s programme, you will:
-Be an expert in the methods of mathematics or statistics.
-Have mastered the basics of another scientific discipline.
-Be able to apply scientific knowledge and methods.
-Be able to follow developments in mathematics and statistics.
-Know how to think critically, argue a point, and solve problems.
-Have excellent interaction skills and be assertive and creative.
-Understand the principles of ethical and sustainable development.
-Be well prepared to work as an expert and developer in your field.
-Be prepared for scientific postgraduate studies.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees.

Programme Contents

The Master’s programme consists of courses in mathematics, applied mathematics, and statistics. The courses include group and lecture instruction, exercises, literature, and workshops. Most courses also include exams or project assignments. In addition, you can complete some courses independently, by taking literature-based exams. The instructors in this programme have received prizes for their high standard of teaching. The teaching methods used in the subjects in this Master's programme have been widely recognised in the media.

Selection of the Major

The specialisation subjects within the programme are:
-Analysis
-Mathematical physics and stocastics
-Applied analysis
-Computational science
-Mathematical logic
-Mathematical modelling
-Insurance and financial mathematics
-Algebra and topology
-Statistics
-European Master in Official Statistics, EMOS (based on the statistics education in the Faculty of Social Sciences).

You will select your specialisation subject during your first year.

Programme Structure

The Master’s programme comprises 120 credits, which you can complete in two years. The degree in mathematics includes:
-85 credits of advanced courses, including the Master’s thesis (Pro gradu, 30 credits).
-35 credits of other courses from your own or other programmes.
-Working-life orientation and career planning.
-Personal study plan.

The degree in statistics includes:
-25 credits of advanced mathematics courses.
-60 credits of advanced statistics courses, including the Master’s thesis (Pro gradu, 30 credits).
-35 credits of other courses e.g. more advanced courses in statistics, or intermediate courses in some other subject, in which you included basic courses in your BSc degree, or, module/s from other university programmes.
-Working-life orientation and career planning.
-Personal study plan.

The European Master in Official Statistics sub-programme includes:
-85 credits of advanced courses in statistics or mathematics, including the Master’s thesis (Pro gradu, 30 credits) and a traineeship.
-35 credits of other courses from your own or other programmes.
-Working-life orientation and career planning.
-Personal study plan.

Career Prospects

Graduates of the Master’s programme can find employment outside the university or continue with one of the doctoral programmes in mathematics and statistics. The Master’s programme will give you excellent capabilities for work in the public or private sector as an expert in mathematics and statistics, skills that are very sought after in the job market both in Finland and abroad. The banking, investment, and insurance fields, for instance, value mathematicians and statisticians very highly internationally. Many of our graduates work in research and development or as teachers in various educational institutions. Graduates from this programme have excellent chances to find employment corresponding to their education.

Internationalization

The international nature of the programme is implemented in many ways:
-Research within the disciplines of the degree programme is of high international standard and is highly regarded.
-Teaching staff and research collaboration within the programme are international.
-The atmosphere of the programme is international, several international students are admitted each year.
-Theses and projects may be completed within international projects.
-There are opportunities for a student exchange period in many foreign universities.

Research Focus

The research focus within the disciplines in the degree programme are e.g.
-Geometric analysis and measurement theory
-Analysis in metric spaces
-Partial differential equations
-Functional analysis
-Harmonic analysis
-Mathematical physics
-Stochastics
-Inversion problems
-Mathematical logic and set theory
-Biomathematics
-Time series analysis
-Biometry
-Econometry
-Psychometrics
-Social statistics

The programme is part of the Analyysin ja dynamiikan (Analysis and dynamics) and the Inversio-ongelmien (Inversion problems) centres of excellence.

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The MSc in Statistics is a flexible degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics. Read more

The MSc in Statistics is a flexible degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics.

The programme combines in-depth training in mainstream advanced statistical modelling with a broad range of specialisations - from financial mathematics to statistical bioinformatics; from shape analysis to risk management. You’ll also develop your understanding of research methods in statistics from writing styles to programming skills, preparing you for a wide range of careers in different sectors – and then apply them to a substantial research project of your own.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Accreditation

Royal statistical Society Accreditation

On graduation you will be eligible for the Graduate Statistician (GradStat) status and after five years’ experience this can be converted into the professional status of Chartered Statistician (CStat).

Being a chartered statistician provides employers, contractors and collaborators of statisticians a level of assurance that you are at the forefront of your field and is a mark of accomplishment to society.

Course content

The first two semesters of your course will consist of taught modules and in the third semester you will devote your time to a major dissertation.

Within each semester there is one compulsory module and a range of optional modules, allowing you to specialise in the area of statistics of most interest to you. Specialist areas within the course include biological or financial applications of statistics or broad based statistical expertise.The core modules will develop your skills to lay the groundwork of the programme. You’ll learn a range of statistical computing techniques and build research skills such as academic writing, programming and literature searches. Options within the course vary from mainstream topics in statistical methodology to more specialised areas and reflect specific research interests of our academic staff - examples include statistical shape analysis, directional data, statistical genetics and stochastic financial modelling.

Course structure

Compulsory modules

  • Independent Learning and Skills Project 15 credits
  • Statistical Computing 15 credits
  • Dissertation in Statistics 60 credits

Optional modules

  • Introduction to Clinical Trials 15 credits
  • Core Epidemiology 15 credits
  • Multilevel and Latent variable Modelling 15 credits
  • Advanced Modelling Strategies 15 credits
  • Advanced epidemiological techniques 15 credits
  • Mathematical Biology 15 credits
  • Linear Regression and Robustness 15 credits
  • Statistical Theory 15 credits
  • Stochastic Financial Modelling 15 credits
  • Multivariate Analysis 10 credits
  • Time Series 10 credits
  • Bayesian Statistics 10 credits
  • Generalised Linear Models 10 credits
  • Introduction to Statistics and DNA 10 credits
  • Discrete Time Finance 15 credits
  • Continuous Time Finance 15 credits
  • Risk Management 15 credits
  • Advanced Mathematical Biology 20 credits
  • Linear Regression and Robustness and Smoothing 20 credits
  • Multivariate and Cluster Analysis 15 credits
  • Time Series and Spectral Analysis 15 credits
  • Bayesian Statistics and Causality 15 credits
  • Generalised Linear and Additive Models 15 credits
  • Statistics and DNA 15 credits

For more information on typical modules, read Statistics MSc in the course catalogue

Learning and teaching

Teaching is by lectures, tutorials, seminars and supervised research projects.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.

Career opportunities

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.

The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organisations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.

Many statistical careers require people educated to masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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This programme combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics. Read more

This programme combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics.

The MSc in Statistics with Applications to Finance is a focused degree programme which enables you to both broaden and deepen your understanding of statistics and financial applications. As well as the statistics expertise within the School of Mathematics, the MSc also draws on experience in Financial Mathematics, a joint venture between the School of Mathematics and Leeds University Business School.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Accreditation

Royal Statistical Society Accreditation

On graduation you will be eligible for the Graduate Statistician (GradStat) status and after five years’ experience this can then be converted into the professional status of Chartered Statistician (CStat).

Being a chartered statistician provides employers, contractors and collaborators of statisticians a level of assurance that you are at the forefront of your field and is a mark of accomplishment to society.

Course content

The first two semesters of your course will consist of taught modules and in the third semester you will devote your time to a major dissertation. Within each semester you will take three compulsory modules. However, you can tailor the course to meet your individual needs through selection of a further module in each semester from a variety of options.

In the first semester you’ll be introduced to statistical computing with an emphasis on sampling-based methods including Markov Chain Monte Carlo. You’ll also explore financial investments such as stock and shares and develop the necessary probabilistic tools to evaluate risks within the market.

In semester two you’ll look at risk assessment in detail, gaining comprehensive knowledge of mathematical and practical approaches to financial risk management. Avoiding the disastrous consequences of badly managed risk requires detailed mathematical knowledge of how to quantify financial risk. You’ll also learn about pricing financial assets and forecasting future values within a time series.

Your third semester will be taken up by a dissertation in statistics. This will consist of a three-month research project undertaken in the summer on a topic chosen in conjunction with project supervisors, culminating in a dissertation on that project.

Course structure

Compulsory modules

  • Stochastic Financial Modelling 15 credits
  • Discrete Time Finance 15 credits
  • Continuous Time Finance 15 credits
  • Risk Management 15 credits
  • Computations in Finance 15 credits
  • Time Series and Spectral Analysis 15 credits
  • Statistical Computing 15 credits
  • Dissertation in Statistics 60 credits

Optional modules

  • Linear Regression and Robustness 15 credits
  • Statistical Theory 15 credits
  • Multivariate Analysis 10 credits
  • Bayesian Statistics 10 credits
  • Generalised Linear Models 10 credits
  • Introduction to Statistics and DNA 10 credits
  • Models in Actuarial Science 15 credits
  • Linear Regression and Robustness and Smoothing 20 credits
  • Multivariate and Cluster Analysis 15 credits
  • Bayesian Statistics and Causality 15 credits
  • Generalised Linear and Additive Models 15 credits
  • Independent Learning and Skills Project 15 credits
  • Statistics and DNA 15 credits

For more information on typical modules, read Statistics with Applications to Finance MSc in the course catalogue

Learning and teaching

This programme is taught jointly between the School of Mathematics and the Leeds University Business School. You will study a mixture of modules taught by specialists in each school though a combination of lectures and small group workshops.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.

Career opportunities

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.

The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organisations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.

Many statistical careers require people educated to masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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