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Masters Degrees (Environmental Statistics)

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This Masters in Environmental Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required. Read more
This Masters in Environmental Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required.

Why this programme

◾The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
◾Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
◾Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
◾You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
◾You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
◾You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
◾Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses (compulsory)
◾Bayesian statistics
◾Data analysis
◾Environmental statistics
◾Generalised linear models
◾Introduction to R programming
◾Principles of GIS (10)
◾Probability 1
◾Regression models
◾Spatial statistics
◾Statistical inference 1
◾Time series
◾Topographic mapping and landscape monitoring
◾Statistics project and dissertation.

Career prospects

Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.

Graduates of this programme have gone on to positions such as:
Research Officer Medical Statistics at Kenya Medical Research Institute (KEMRI) Welcome Trust.

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Are you up to the challenge of finding innovative methods and sustainable solutions to the threats facing the environment? The Environmental Sciences Master programme at Wageningen University has its roots in the natural, technological and social sciences. Read more

MSc Environmental Sciences

Are you up to the challenge of finding innovative methods and sustainable solutions to the threats facing the environment? The Environmental Sciences Master programme at Wageningen University has its roots in the natural, technological and social sciences.

Students will gain insight into the socio-economic causes and the characteristics of pollution and degradation of the natural environment, including the effects on human beings, the atmosphere, ecosystems and other organisms. This two-year programme is based on an interdisciplinary approach. Students learn to develop analytical tools and models, as well as technologies, socio-political arrangements and economic instruments to prevent and control environmental and sustainability issues.

Programme summary

We are facing a future with an increased demand for food, water, energy and other resources, which will have an enormous impact on our already heavily burdened environment. Environmental challenges for the future include using our resources efficiently, minimising our impact on nature, and creating and changing people’s awareness and behaviour towards their environment.

The MSc Environmental Sciences programme is designed for students who want to take up this challenge in finding innovative and sustainable approaches to secure and improve the state of the environment. This programme provides insight into the socioeconomic causes, the characteristics of pollution and degradation of the natural environment, and their effects on human beings and ecosystems. By taking an interdisciplinary approach, students learn to develop analytical tools and models, environmental technologies, socio-political arrangements and economic instruments to prevent and control environmental problems.

To allow you maximum flexibility in your individual course of study, there are no formal specialisations and compulsory elements are kept at a minimum. This allows you to tailor the programme to your individual needs. Major thesis research can be conducted in one of the ten thesis tracks (major) and each major can be combined with a minor in Environmental Communication or Education.

Thesis tracks

The ten thesis tracks are clustered in 4 groups.

Environmental Quality
Investigates the physical, chemical and biological processes that influence the quality of the environmental compartments: Soil, Water and Air; and the effects of pollutants on humans and ecosystems. Students can choose the thesis tracks Aquatic Ecology and Water Quality Management, Air Quality and Atmospheric Chemistry, Soil Biology and Biological Soil Quality, Soil Chemistry and Chemical Soil Quality, or Environmental Toxicology.

Environmental Systems Analysis
Studies the natural and social processes involved in environmental issues. It aims to develop integrative tools and methodologies and to apply these in strategic research. Students can choose to develop such an integrated approach via the thesis track Environmental Systems Analysis.

Environmental Policy and Economics
Covers the contribution of the social sciences to environmental research. The focus is on the social, political, legal and economic aspects of environmental issues and the goal is to provide students with the skills for studying, formulating and designing innovative forms of national and international environmental governance. You can choose a thesis track in the disciplines of Environmental Policy, Environmental Economics and Natural Resources, or Integrated Water Management.

Environmental Technology
Concentrates on biological, chemical and physical processes for water reuse and the recovery of nutrients, minerals and energy. The aim is to fully understand these processes in order to design and optimise innovative technologies for renewable energy, closing nutrient cycles and solving environmental issues. You can choose any of these topics via the thesis track Environmental Technology.

Your future career

Graduates from this programme are well-equipped to continue their scientific training in a PhD programme or to begin - or continue - a professional career requiring independent scientific performance. Students are taught the knowledge and skills needed to communicate with experts from different disciplines allowing them to play a key role in complex environmental and sustainability issues. Most graduates enter careers in environmental consultancy, research and management, while others are involved in policy development and higher education.

Alumna Charlotte Van Erp Taalman Kip.
Upon graduation, Charlotte started working as environmental consultant at MWH Global. Two years later, she continued her career at the water board Hollandse Delta as innovation engineer. She works together with different parties for implementing innovative and sustainable ideas. One project she is involved in is an initiative of all water boards that focuses on the recovery of valuable compounds in sewage. “It’s time to see our sewage not as a dirty waste stream, but as a valuable resource. We should not destroy this potential of sewage. On the contrary, it is our duty to recover and reuse all its valuable components.”

Related programmes:
MSc Climate Studies
MSc Urban Environmental Management
MSc Earth and Environment
MSc Forest and Nature Conservation
MSc Aquaculture and Marine Resource Management.

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Are you looking forward to a future as an expert in Agricultural, Environmental and Resource Economics? As a graduate of our Master’s Programme in Agricultural, Environmental and Resource Economics, you can find employment in the national or international market, for example at universities, research institutes, the public sector or in business, or you can become a self-employed entrepreneur. Read more
Are you looking forward to a future as an expert in Agricultural, Environmental and Resource Economics? As a graduate of our Master’s Programme in Agricultural, Environmental and Resource Economics, you can find employment in the national or international market, for example at universities, research institutes, the public sector or in business, or you can become a self-employed entrepreneur.

The Viikki Campus offers optimal resources for studying the unique range of subjects offered by our programme. Upon graduating you will be a professional in applied economics in agricultural, environmental and resource-focused fields. You will be well versed in topics such as climate policy, sustainable agriculture and food security.

The Master's programme comprises two study tracks:
1. Agricultural economics
-Languages of instruction: Finnish, Swedish, English

2. Environmental and resource economics
-Language of instruction: English

As a graduate of the study track in Agricultural Economics you will have the ability to:
-Support decision-making in the public and private sectors in various roles as a consultant, researcher or public servant.
-Analyse and communicate the impact of policies on fields relating to agriculture, the environment and natural resources.
-Apply economic theories and quantitative methodologies, such as econometrics and numerical modelling, to issues in the field.

As a graduate of the study track in Environmental and Resource economics you will have the ability to:
-Identify the socio-economic drivers of natural resource use and environmental degradation.
-Analyse the effects of policies on the environment and on natural resource usage.
-Formulate recommendations to support decision-making in both the public and private sectors.
-Apply microeconomic theory and quantitative methods (econometrics, analytical and numerical dynamic modelling, game theory).

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: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

Studytrack: Agricultural economics
After completing the study track in agricultural economics you will be able:
-To apply the concepts and central theories of agricultural economics.
-To apply perspectives of economic, ecological and social sustainability.
-To analyse and develop the business operations of agricultural and rural enterprises as well as intensify production in a sustainable manner.
-To analyse the operation of agricultural and food markets.
-To analyse the international political steering of agriculture.

The study track of agricultural economics combines expertise in business administration and economics with knowledge of the special features of agriculture, rural enterprises, the food market and related policies. Through studies in agricultural economics, you will learn to apply theories and models used to define the profitability and competiveness of agricultural and rural enterprises and the farm-level factors contributing to profitability and competiveness. You will examine the operation of the market and assess various policy options. The studies include practice-oriented assignments that build your decision-making and career skills, and your self-confidence to apply theoretical knowledge in practice.

Studytrack: Environmental and Resource Economics
In this studytrack you will receive a state-of-the-art economic education in environmental and natural resources policy. The courses are divided into three groups:
-Theoretically focused courses in which you will gain a deep understanding of static and dynamic models and applications of game theory.
-Courses focusing on quantitative methods in which you will gain the ability to run numerical simulations and apply econometric methods.
-Thematic courses focusing on relevant challenges in environmental and resource policy.

Selection of the Major

Studytrack: Agricultural economics
Graduates of the Bachelor’s Programme in Environmental and Food Economics can continue directly to the Master’s Programme in Agricultural, Environmental and Resource Economics, provided that they specialised in agricultural, environmental and resource economics for their Bachelor’s degree. In addition, graduates of the Bachelor’s Programme in Agricultural Sciences can continue directly to the study track in agricultural economics, provided that they have completed the module in agricultural economics for their Bachelor’s degree.

Applicants from other programmes and universities must have completed a sufficient amount of studies in economics, mathematics and statistics. Some of these studies may be incorporated into the Master’s degree as optional studies. If there are more applicants than student places, admission will be based on your previous academic performance and the applicability of your Bachelor’s degree.

Studytrack: Environmental and Resource Economics
The studytrack offers three mandatory modules and several optional modules. You can choose two thematic modules in order to focus on issues of interest to you. See the research focus below.

Programme Structure

Studytrack: Agricultural economics
The scope of the Master’s level studies is 120 credits, including both field-specific advanced studies and optional studies in the field or from other degree programmes. The minimum scope of field-specific advanced studies is 60 credits, 30 of which are accounted for by the Master’s thesis. You are recommended to focus on your Master’s thesis during your second year of Master’s studies.

The advanced studies comprise at least two modules of 15 credits. The modules are:
-Agricultural markets and policy
-Business economics
-Rural entrepreneurship
-Environmental and natural resources

In addition, your studies must include at least 15 credits of methodological studies. The studies encompass a practical training period and seminars, and they can include career orientation and career planning. You will also need to complete a personal study plan (PSP).

The scope of optional field-specific studies and studies offered by other degree programmes is 30–40 credits.

Studytrack: Environmental and Resource Economics
The studytrack lasts four semesters, lasting approximately 22 months (1st year beginning of August- 2nd year beginning of June).

Core modules (45 ECTS)
-Environmental economics
-Natural Resource Economics, dynamic optimisation and numerical models
-Environmental valuation, applied econometrics and cost-benefit analysis

Thematic modules (30 ECTS) Choose two of the following:
-Climate change
-Baltic Sea protection
-Agricultural economics and agri-environmental policy
-Forest economics

Internship and Master’s thesis seminar 15 credits (ECTS)

Master’s thesis 30 credits (ECTS)

Career Prospects

According to the labour market surveys conducted by the Finnish Association of Academic Agronomists, graduates from the study track in agricultural economics have been successful in finding employment – often before graduation. The programme alumni have found positions in various organisations in the public and private sectors in Finland, and many have pursued international careers in Europe or further afield. This study programme provides you with wide-ranging skills for starting a business and for serving in various expert or managerial positions, even if the focus of studies is on applied agriculture. Consequently, possible job titles are numerous: specialist, teacher, entrepreneur, researcher, senior officer, product manager, head of finance, etc. If you are interested in developing your expertise further, you can pursue postgraduate studies in the doctoral programmes offered by the University of Helsinki or another university in Finland or abroad.

The Environmental and Resource Economics Master of Science offers promising career paths in government, research, consultancy, industry, NGOs and international organisations.

Internationalization

-You can complete a practical training period abroad or go on a student exchange.
-You can work as a member of an international research group in Finland or abroad.
-You can complete part of your degree in English by taking courses given by international teachers.

As a student in the programme, you will have opportunities for internships, visits and study exchanges with partner universities. Visiting foreign lecturers give intensive courses as part of the thematic modules. As a student you will also be able to join our international research networks.

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Your programme of study. University of Aberdeen Environmental and Forest Management programmes comes from one of the oldest forest management research areas in the UK. Read more

Your programme of study

University of Aberdeen Environmental and Forest Management programmes comes from one of the oldest forest management research areas in the UK. Aberdeen has been teaching Forestry for decades. Forestry is combined with environmental management to provide a very useful range of skills and knowledge to apply across environmental areas. With increasing deforestation there are also opportunities to provide more forests, sustainable forests and carefully managed forests. You visit local forests and take a resident field trip with a project you can undertake anywhere in the world. There will always be a requirement for specialists within forestry management to ensure the longevity of crops and sustainability of environmental resources.

On this MSc programme you will to study the principles of forest and woodland management as well as general environment management and their application both in the UK and overseas. The programme is aimed at people interested in a career in environmental management, environmental services, timber production, community forestry or a combination of these. You learn the important aspects affecting forestry which include plant ecology, environmental pollution, GIS mapping, harvesting, statistical information, remediation , EIA, Analysis, Ecology and conservation and environmental management planning. All of these modules allow you to specialist and become a specialist in your chosen area.

Courses listed for the programme

Semester 1

Optional

Core Skills in Environmental Science

Experimental design and Analysis

Statistics for Complex Study Designs

Plant Ecology

Global Soil Geography

Environmental Pollution

Ecosystems Processes

Application of GIS

Timber Harvesting and Measurement

Semester 2

Optional

Remediation Technology

European Forests Field Course

Environmental Impact Assessment

Environmental Analysis

Ecology, Conservation and Society

Woodland Conservation and Management

Catchment Management

Environmental Management Plan

Applied Forest Ecology

Semester 3

Environmental and Forest Management Project

Find out more detail by visiting the programme web page

https://www.abdn.ac.uk/study/postgraduate-taught/degree-programmes/947/environmental-and-forest-management/

Why study at Aberdeen?

  • University of Aberdeen has been associated with teaching and researching the forestry discipline for decades the subject ties into its strengths in environmental and soil science
  • The programme is ranked No.1 in Scotland for research excellence in earth systems and sciences
  • Field work takes place in the region with plenty of natural resources on Royal Deesside, Cairngorms National Park, agricultural Aberdeenshire and Caledonian pine forests

Where you study

  • University of Aberdeen
  • Full Time and Part Time
  • 12 Months or 24 Months
  • September start

International Student Fees 2017/2018

Find out about fees:

https://www.abdn.ac.uk/study/international/tuition-fees-and-living-costs-287.php

*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page

https://www.abdn.ac.uk/study/postgraduate-taught/finance-funding-1599.php

https://www.abdn.ac.uk/funding/

Living in Aberdeen

Find out more about:

  • Your Accommodation
  • Campus Facilities
  • Aberdeen City
  • Student Support
  • Clubs and Societies

Find out more about living in Aberdeen:

https://abdn.ac.uk/study/student-life

Living costs

https://www.abdn.ac.uk/study/international/finance.php



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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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The Urban Environmental Management programme is an international and interactive programme providing a balanced curriculum of theory, tools and application. Read more

MSc Urban Environmental Management

The Urban Environmental Management programme is an international and interactive programme providing a balanced curriculum of theory, tools and application. It aims to train students to guide the future along the path of sustainable urbanisation.

Programme summary

The world we live in is an increasingly urban one. Over the past century, a great population shift has occurred from rural to urban areas. Cities now hold half of the world’s population and it is estimated that three out of every five people will live in an urban environment by 2030. This development calls for measures to control the environmental impacts of urbanisation, such as growing traffic, increasing waste emissions, deteriorating air and water quality, and rising energy and resource consumption. Of particular concern are the speed and scale of urbanisation in the developing world as many Asian, African and Latin-American cities are incapable of providing adequate housing and basic urban services. Inadequate water supply, sanitation, waste collection and waste management systems are the cause of serious urban pollution and health hazards. Sustainable management of the urban environment has become one of the major challenges for the future.

The MSc Urban Environmental Management programme aims at equipping its students with the outlook, concepts and tools to manage the urban environment. The programme unites four essential perspectives on the urban environment: environmental quality and health, environmental infrastructure and technology, spatial planning, and governance. Besides integrated theories and views from several disciplines, urban environmental management requires technical and managerial competencies and skills for its implementation. Consequently, the programme provides a balanced curriculum of theory, tools and application. It emphasises the development of an interdisciplinary outlook, critical-thinking, analytical problem solving and practical decision making skills through a combination of teamwork, practical simulation exercises, field trips and an individual research project.

Specialisations

The internship programme offers a valuable opportunity to gain practical experience in a country and organisation as desired. Students can conduct their major thesis research within seven thesis tracks:
• Environmental Economics
• Environmental Policy
• Environmental Systems Analysis
• Geo-information Science
• Management Studies
• Land Use Planning
• Urban Systems Engineering

Experimental thesis research will usually be part of ongoing research programmes of chair groups or research institutes of Wageningen UR. Otherwise, thesis topics originate from the student's own research interests or from discussions with potential supervisors

Your future career

Graduates from the MSc Urban Environmental Management are well-equipped with the skills and knowledge to continue their academic training as a PhD student or to begin careers as researcher, adviser or consultant in for example the utilities companies, the services or manufacturing industries, or in governmental organisations.

Alumnus Indra Firmansyah.
“The MSc Urban Environmental Management helped me a lot in acquiring knowledge of both environmental technology and management. After my graduation in 2011, I returned to my home country Indonesia where I worked for the firm Royal HaskoningDHV on a project that focused on urban sanitation development. Recently, I started a PhD at Wageningen UR on the topic of closing nutrient cycles by reusing treated domestic waste (water) in agriculture and aquaculture, taking the Caribbean island St. Eustatius as a case study. This research is interdisciplinary and requires combining the expertise of spatial planning, new sanitation, agriculture and aquaculture.”

Related programmes:
MSc Environmental Sciences
MSc International Development Studies
MSc Landscape Architecture and Planning.

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This programme qualifies for the prestigious Data Lab Masters Scholarships. The award covers full tuition fee costs. For further information please see. Read more
This programme qualifies for the prestigious Data Lab Masters Scholarships. The award covers full tuition fee costs. For further information please see: Data Lab Masters Scholarships.

Why this programme

◾The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
◾Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
◾Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
◾You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
◾You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
◾You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
◾Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Courses include (twelve chosen)
◾Advanced Bayesian methods
◾Advanced data analysis
◾Bayesian statistics
◾Biostatistics
◾Computational inference
◾Data analysis
◾Data management and analytics using SAS
◾Design of experiments
◾Environmental statistics
◾Flexible regression
◾Financial statistics
◾Functional data analysis
◾Generalised linear models
◾Introduction to R programming
◾Linear mixed models
◾Machine learning
◾Multivariate methods
◾Principles of probability and statistics
◾Professional skills
◾Spatial statistics
◾Statistical genetics
◾Stochastic processes
◾Time series
◾Statistics project and dissertation.

Summer (May – August)
Statistics project and dissertation (60) - assessed by a dissertation

Career prospects

Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.

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This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics. Read more
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.

Why this programme

◾The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
◾Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
◾Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
◾You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
◾You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
◾You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
◾Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses (compulsory)
◾Bayesian statistics
◾Generalised linear models
◾Introduction to R programming
◾Probability 1
◾Regression models
◾Statistical inference 1
◾Statistics project and dissertation.

Optional courses (six chosen, but at least one course must be from Group 1)

Group 1
◾Data analysis
◾Professional skills.

Group 2
◾Biostatistics
◾Computational inference
◾Data management and analytics using SAS
◾Design of experiments
◾Environmental statistics
◾Financial statistics
◾Functional data analysis
◾Machine learning
◾Multivariate methods
◾Spatial statistics
◾Statistical genetics
◾Stochastic processes
◾Time series.

1 Any student who, in the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses can substitute these courses by any other optional course (including optional courses offered as part of the MRes in Advanced Statistics). The choice of substituting courses is subject to approval by the Programme Director.

Summer (May – August)
Statistics project and dissertation (60) - assessed by a dissertation.

Career prospects

Our graduates have an excellent track record of gaining employment in many sectors including finance, medical research, the pharmaceutical industry and government statistical services, while others have continued to a PhD.

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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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Master of Chemistry in Environmental Forensics offers an exciting education using active learning and providing practical experience in close cooperation with the industry and environmental researchers. Read more
Master of Chemistry in Environmental Forensics offers an exciting education using active learning and providing practical experience in close cooperation with the industry and environmental researchers.

Environmental forensics is the systematic and scientific evaluation using various disciplines for the purpose of developing defensible scientific and legal conclusions regarding the source, age and history of chemical pollutants released into the environment. You, together with industry and leading researchers, have the opportunity to develop the knowledge needed for you to contribute to a future resilient society. The education offers insight in several disciplines including analytical and environmental analysis in order to characterize the source and amount of chemical pollutants in the environment as well as describing their history. In order to facilitate a broad understanding of the specialities involved in Environmental Forensics, the curriculum will include a wide-range of multidisciplinary expertise within natural sciences such as environmental science, isotope chemistry, environmental sampling, advanced statistics, and transportation modelling. To ensure that the students gain practical field experience, real-life cases are provided in collaboration with the industry. The education use problem-based learning (PBL) to encourage active learning and to develop problem solving abilities. These skills will be used to identify sources and history of environmental pollution. The program is a two-year programme but can be finished after one year resulting in a 60 credit Master of Science degree in Chemistry. Year one deals with distribution of environmental pollutions, environmental toxicology, forensic analytical methods and environmental agreements. Year two includes advanced statistical methods, research methodology and project management. Both alternatives ends with a project work in a research group and/or with industry.

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This unique Masters in Applied Statistics in Health Sciences provides an opening to a career as an applied statistician, without having previously studied statistics. Read more
This unique Masters in Applied Statistics in Health Sciences provides an opening to a career as an applied statistician, without having previously studied statistics.

The course is run in collaboration with the Animal and Plant Health Agency (APHA), an Executive Agency of the Department for Environment, Food & Rural Affairs (Defra). Statisticians from APHA, as well as those who have extensive experience in working with the National Health Service in Scotland, will provide lectures based around real-life problems and data from the health sciences.

Although the programme is focused on health, the skill set provided will also equip you with the necessary training to work as an applied statistician in other areas such as insurance, finance and commerce.

What you'll learn

The three compulsory modules covered in Semester 1 will equip you with fundamental probability and data analysis skills. In Semester 2 there's four compulsory modules, each focusing on a different applied element of being a statistician. The course concludes with a research project which will involve the analysis of a real-life data set.

Programme skills set
On the programme you'll acquire:
-in-depth knowledge of modern statistical methods that are used to analyse and visualise real-life data sets and the experience of how to apply these methods in a professional setting
-skills in using statistical software packages that are used in government, industry and commerce
-the ability to interpret the output from statistical tests and data analyses and communicate your findings to a variety of audiences including health professionals, scientists, government officials, managers and stakeholders who may have an interest in the problem
-problem solving and high numeracy skills that are widely sought after in the commercial sector
-practical experience of statistical consultancy and how to interact with professionals who require statistical analyses of their data
-through the contacts with APHA and NHS staff, an understanding of what it's like to work as an applied statistician in practice including, for example, during disease outbreaks

Guest lectures
Several modules will be taught by academics who also work for other organisations including government and health services.

Facilities

The Department of Mathematics & Statistics has teaching rooms which provide you with access to modern teaching equipment and computing laboratories that are state-of-the-art with all necessary software available. You'll also have a common room facility, a modern and flexible area which is used for individual and group study work, and also a relaxing social space.

The Department of Mathematics & Statistics

At the heart of the Department of Mathematics & Statistics is the University’s aim of developing useful learning. We're an applied department with many links to industry and government. Most of the academic staff teaching on this course hold joint-appointments with, or are funded by, other organisations, including APHA, Public Health and Intelligence (Health Protection Scotland), Greater Glasgow and Clyde Health Board and the Marine Alliance for Science and Technology Scotland (MASTS). We bridge the gap between academia and real-life. Our research has societal impact.

Course content

Semester 1 Compulsory classes:
The three compulsory classes covered in semester 1 will equip you with fundamental probability and data analysis skills.

-Foundations of Probability & Statistics
-Data Analytics in R
-Applied Statistical Modelling

Semester 2 Compulsory classes:
Each class focuses on a different applied element of being a statistician.

-Medical Statistics
-Bayesian Spatial Statistics
-Effective Statistical Consultancy
-Risk Analysis
-Survey Design & Analysis
-Semester 3

Learning & teaching

Classes are delivered by a number of teaching methods:
-lectures (using a variety of media including electronic presentations and computer demonstrations)
-tutorials
-computer laboratories
-coursework
-projects

Teaching is student-focused, with students encouraged to take responsibility for their own learning and development. Classes are supported by web-based materials.

Assessment

The form of assessment varies for each class. For most classes the assessment involves both coursework and examinations.

How can I fund my course?

A number of scholarships are available for outstanding UK, EU and international applicants. For details, please visit our scholarship search: https://www.strath.ac.uk/studywithus/scholarships/

Scottish students:
Students living in Scotland can find out more about funding from the Student Awards Agency Scotland.

English/EU students:
Students ordinarily resident in England may be eligible to apply for a loan of up to £10,000 to cover their tuition fees and living costs. Students resident in the EU may also apply.

Careers

There are many exciting career opportunities for graduates in applied statistics. The practical, real-life skills that you'll gain means you'll be much in demand in international organisations. A report by the Association of the British Pharmaceutical Industry identified statistics and data mining as “two key areas in which a 'skills gap' is threatening the UK's biopharmaceutical industry.”

Typical employers of statisticians and data analysts include:

-Government
-Health services
-Pharmaceutical companies
-Human, animal, plant and environmental research institutes
-Insurance companies
-Banks
-Internet information providers such as Google
-Retailers

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This programme is focused on developing high level student understanding of the physical environment, and how society interacts with it. Read more
This programme is focused on developing high level student understanding of the physical environment, and how society interacts with it. Considerable flexibility exists affording applicants the opportunity to develop their own postgraduate degree programme; the degree benefits from the development of the School of Environmental Sciences drawing on modules from across the School.

Emphasis is placed on techniques for examining recent environmental change, methods of contemporary monitoring and providing the context for possible future climate change impacts in a range of environments.

The programme has a strong practical component within which there is specialist training in a wide variety of field and laboratory techniques.

A variety of assessment approaches are used including, oral and poster presentations, reports, essays and field notebooks. Teaching is provided in a range of environments and formats, including field, seminars, lectures, small group and laboratory.

For a Diploma, students will complete and be assessed on eight months of work. For the MSc, an additional four months will be spent preparing and submitting a dissertation based either on a research project or a placement with an appropriate institution.

Why Geography?

We’ve exceptional academic staff with expertise in a range of areas:

Geographies of Population and the Lifecourse
Globalisation, Development and Place
Advanced Environmental Analytical Techniques
The study of Environmental and Climate Change.

Career prospects

Our degrees provide pathways into rewarding careers and our graduates have found employment in a wide range of industries and organisations, both in the UK and abroad. Graduates of the Environment and Climate Change MSc have gone on to continue their studies towards a PhD, or are employed in a wide range of positions, including environmental, energy and engineering consultancies, multinational companies (energy), local government, environmental bodies, research positions and teaching.

PhD graduates are now working in academic life as lecturers in Geography, Environmental Science, Economic History, Development Studies and Statistics at universities in the UK and overseas. Others are employed in applied fields, working in Europe, Africa and across the world, for example as professional statisticians (one is now Director of Statistics in Zambia, another working in the Health Service in the UK), development professionals (including a member of staff on the WHO malaria programme in East Africa), and scientists at climate and environmental research centres around the world.

Students will be well placed to undertake a career in social science research at the end of their studies, both in an academic and a non-academic environment.

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Degree. Master of Science (120 credits) with a major in Statistics. Teaching language. English. The rapid growth of databases provides business people and scientists with vast new resources. Read more
Degree: Master of Science (120 credits) with a major in Statistics
Teaching language: English

The rapid growth of databases provides business people and scientists with vast new resources. This programme - on the interface between statistics and computer science - will help students discover patterns and trends in large and complex datasets, and turn data into information and knowledge.

Statistics and data mining is a programme with unique career opportunities. The methods to organise and analyse data are getting more and more powerful, and this makes the synergy between data mining and statistics immensely rewarding. Economic transactions, customer data, individual health records and environmental data are just a few examples of the contents of enormous databases awaiting thorough examination.

The programme prepares students for professional work with data analysis in private enterprises and government agencies. It can also provide an ideal background for students who aspire to pursue a career as researchers in statistics or computer science.

The programme is designed for students with a solid background in statistics, computer science or applied mathematics, and an aspiration to learn more about data analysis. Being at the interface between statistics and computer science, it provides skills that cannot be achieved in conventional discipline-oriented programmes. The focus is on applications of data analysis, but underlying theories are also given considerable space.

Data mining courses, covering prediction, classification, clustering and association analysis constitute the core of the programme. Visualisation, survey sampling and theory of science are also mandatory. Supporting courses and profile courses (in statistics or computer science) and the master’s thesis project enables students to tailor the programme towards specific applications.

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The Faculty of Bioscience Engineering at Ghent brings you. -More than 40 years of experience in environmental education and research. Read more
The Faculty of Bioscience Engineering at Ghent brings you:
-More than 40 years of experience in environmental education and research
-Multidisciplinary and integrated approach to deal with environmental issues
-Raising the professional careers of its graduates to a higher level, through continuous mutual cooperation and networking

Since 1988, the Centre Environmental Science & Technology of UGent offers the Master of Science in Environmental Sanitation, aiming to train environmental experts who have a good knowledge of all compartments and processes of the environment (soil, water, air), can make use of integrated insights and multidisciplinary approaches in environmental science and
technology and combine preventive and remediation instruments to support a sustainable exploitation of the environment.

Structure

Semester 1 (Sept-Jan)
-Preceded by introduction courses
-Basic knowledge through general courses
-Possibility to take elective courses
Semester 2 (Febr-June)
-Basic knowledge through general courses
-Possibility to take elective courses
Semester 3 (Sept-Jan)
-Specialized courses major courses (soil-water-air)
-Elective courses
-Master dissertation
Semester 4 (Febr-June)
-Specialized courses major courses (soil-water-air)
-Elective courses
-Master dissertation

Learning outcomes

Our programme will prepare you to become:
-Experts in environmental issues on a local and global scale in a multi-stakeholder perspective, with a particular set of tools and standards useful in developing countries.
-Experts in prevention and sanitation of environmental pollution operating in governmental institutions and NGO’s, universities and research institutes, industries and consultancy firms.

Other admission requirements

The applicant must be proficient in the language of the course or training programme, i.e. English. The English language proficiency can be met by providing a certificate (validity of 5 years) of one of the following tests: (TOEFL/IELTS predictive tests and TOEIC will not be accepted):
-TOEFL IBT 80
-TOEFL PBT 550
-ACADEMIC IELTS 6,5 overall score with a min. of 6 for writing
-CEFR B2 Issued by a European university language centre
-ESOL CAMBRIDGE English CAE (Advanced)

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