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Masters Degrees (Spatial Statistics)

We have 52 Masters Degrees (Spatial Statistics)

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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 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.

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 course is subject to approval by the Programme Director.

Summer (May – August)

Statistics project and dissertation (60) - applying statistical methods and modelling to data collected from research in environmental science, 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.

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

This Masters in Advanced 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.

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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Overview. The MSc Statistics offers a modern advanced curriculum in statistics which will enable you to broaden and deepen your understanding of the subject and its applications. Read more

Overview

The MSc Statistics offers a modern advanced curriculum in statistics which will enable you to broaden and deepen your understanding of the subject and its applications.

The programme will provide you with specific techniques and skills suitable for a professional career in statistics or as a solid basis for research in the area.

Optional topics typically include generalised linear models, Markov Chain Monte Carlo, the bootstrap, multivariate analysis, spatial statistics, time series and forecasting, multilevel models, stochastic finance, and shape and image analysis.

This course is accredited by the Royal Statistical Society.

Key facts:

- This course is informed by the work being carried out in the Statistics and Probability research group.

- The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 60 full-time academic staff.

- In the latest independent Research Assessment Exercise, the School ranked 8th in the UK in "research power" across the three subject areas within the School of Mathematical Sciences (Pure Mathematics, Applied Mathematics, Statistics and Operational Research).

Modules

Advanced Stochastic Processes

Applications of Statistics

Computational Statistics

Fundamentals of Statistics

Medical Statistics

Statistics Dissertation

Time Series and Forecasting

Topics in Biomedical Statistics

English language requirements for international students

IELTS: 6.0 (with no less than 5.5 in any element)

Further information



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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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This Masters in Biostatistics 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 Biostatistics 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.

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
  • Biostatistics 
  • Generalised linear models 
  • Introduction to R programming 
  • Probability 1
  • Regression models 
  • Statistical inference 1
  • Statistics project and dissertation.

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

Group 1

  • Data analysis 
  • Professional skills.

Group 2

  • Data management and analytics using SAS
  • Design of experiments 
  • Functional data analysis 
  • Spatial statistics 
  • Statistical genetics 
  • 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) - applying statistical methods and modelling to data collected from research in a biomedical discipline, 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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Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. Read more

Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. This Masters will provide you with a thorough grounding in state-of-the art methods for learning from data, both in terms of statistical modelling and computation. You will also gain practical hands-on experience in carrying out various data-driven analytical projects. Previous study of Statistics or Computing Science is not required.

Why this programme?

  • The University of Glasgow’s School of Mathematics and Statistics is ranked 3rd in Scotland and 11th in the UK (Complete University Guide 2017).
  • The Statistics Group at Glasgow is the largest Statistics group in Scotland and internationally renowned for its research excellence.

Programme Structure

Core courses

  • Bayesian Statistics
  • Big Data Analytics
  • Data Management and Analytics using SAS
  • Generalised Linear Models
  • Introduction to R Programming
  • Preliminary Mathematics for Statisticians 1
  • Probability 2
  • Regression Models2
  • Statistical Inference2

One Course is optional for students with sufficient background in Linear Algebra and Calculus.

Two students who have already completed an equivalent course can substitute this course by any other optional course, including optional courses offered as part of the MRes in Advanced Statistics (see the website for details).

In your project (60 credits) you will model data collected from research in environmental science, assessed by a dissertation.

Optional courses

Students choose at least two courses from group 1 and at least one course from group 2.

Group 1

  • Artificial Intelligence
  • Information Retrieval
  • Machine Learning
  • Programming

Group 2

  • Data Analysis
  • Professional Skills

Group 3

  • Biostatistics
  • Design of Experiments
  • Environmental Statistics
  • Financial Statistics
  • Functional Data Analysis
  • Multivariate Methods
  • Spatial Statistics
  • Stochastic Processes
  • Statistical Genetics
  • Time Series

 In your project (60 credits) you will tackle a complex data analytical problem or develop novel approaches to solving data analytical challenges. 

Career prospects

There is a massive shortage of data-analytical skills in the workforce. Statistician is projected to be one of the fastest-growing occupations. There is a massive shortage of data-analytical skills in the workforce. Statistician is projected to be one of the fastest-growing occupations. Statistical Analysis and Data Mining was listed by LinkedIn as the hottest skill in 2014 and came second in 2015.

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. Our recent graduates have taken up positions as Statisticians with the Scottish Government, as Advanced Analytics Analyst at Deloitte Ireland, as Consultant at the World Bank and as Research Officer at Kenya Medical Research Institute (KEMRI).



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Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. Read more

Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. To impress employers you need the flexibility to learn on the job, leverage open data and program open source software. This MSc draws on UCL's unparalleled concentration of expertise to equip you for future research or significantly enhance your employability.

About this degree

Students learn about a wide range of concepts that underpin computational approaches to archaeology and human history. Students become proficient in the archaeological application of both commercial and open source GIS software and learn other practical skills such as programming, data-mining, advanced spatial analysis with R, and agent-based simulation.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), four optional modules (60 credits) and a research dissertation (90 credits).

Core modules

  • Archaeological Data Science
  • Complexity, Space and Human History

Optional modules

  • Exploratory Data Analysis in Archaeology
  • GIS Approaches to Past Landscapes
  • GIS in Archaeology and History
  • Remote Sensing in Archaeology
  • Spatial Statistics, Network Analysis and Human History
  • The Archaeology of Complex Urban Sites: Analytical and Interpretative Technology
  • Web and Mobile GIS (by arrangement with the UCL Department of Civil and Geomatic Engineering
  • Other options available within the UCL Institute of Archaeology

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning

The programme is delivered through lectures, tutorials and practical sessions. Careful provision is made to facilitate remote access to software, tutorials, datasets and readings through a combination of dedicated websites and virtual learning environments. Assessment is through essays, practical components, project reports and portfolio, and the research dissertation.

Further information on modules and degree structure is available on the department website: Computational Archaeology: GIS, Data Science and Complexity MSc

Careers

Approximately one third of graduates of the programme have gone on to do PhDs at universities such as Cambridge, Leiden, McGill, Thessaloniki and Washington State. Of these, some continue to pursue GIS and/or spatial analysis techniques as a core research interest, while others use the skills and inferential rigour they acquired during their Master's as a platform for more wide-ranging doctoral research. Several graduates who went on to doctoral research are now lecturers in computational Archaeology: at the University of Cambridge, Queen's University Belfast and the University of Colorado. Other graduates have gone to work in a range of archaeological and non-archaeological organisations worldwide. These include specialist careers in national governmental or heritage organisations, commercial archaeological units, planning departments, utility companies, the defence industry and consultancies.

Employability

This degree offers a considerable range of transferable practical skills as well as instilling a more general inferential rigour which is attractive to almost any potential employer. Graduates will be comfortable with a wide range of web-based, database-led, statistical and cartographic tasks. They will be able to operate both commercial and oper source software, will be able to think clearly about both scientific and humanities-led issues, and will have a demonstrable track record of both individual research and group-based collaboration.

Why study this degree at UCL?

The teaching staff bring together a range and depth of expertise that enables students to develop specialisms including industry-standard and open-source GIS, advanced spatial and temporal statistics, computer simulation, geophysical prospection techniques and digital topographic survey.

Most practical classes are held in the institute's Archaeological Computing and GIS laboratory. This laboratory contains Linux servers, ten powerful workstations running Microsoft Windows 10, a digitising table and map scanner.

Students benefit from the collaborations we have established with other institutions and GIS specialists in Canada, Germany, Italy and Greece together with several commercial archaeological units in the UK.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Institute of Archaeology

73% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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We offer a flexible range of opportunities for postgraduate research. We welcome MPhil proposals in any topic related to architecture, planning, or landscape. Read more
We offer a flexible range of opportunities for postgraduate research. We welcome MPhil proposals in any topic related to architecture, planning, or landscape.

We offer supervision in the following areas.

Architectural and planning education

We conduct research into innovative teaching methods, the integration of theory and practice, and learn from related creative disciplines.

The Higher Education Funding Council for England (HEFCE) has funded research into effective skills transfer. This activity is strengthened through our involvement in the:
-European Association for Architectural Education (EAAE)
-Association of European Schools of Planning (AESOP)
-European Council of Landscape Architecture Schools (ECLAS) including the Le NOTRE EU Network

Architectural science and environmental design

-Design related aspects of construction and the use of buildings
-Non-destructive testing
-Simulation
-Measurement of energy
-Environmental performance

Cities and technology

-The changing relationship between utilities, the development, planning and management of contemporary cities
-Culture and the built environment, including cultural change and transformation of the built environment

Design history and theory

-Architectural history
-Architectural theory
-Material culture

Environmental economics

-Environmental economics
-Valuation
-Benefit appraisal

Environmental management

-Our research in this area covers environmental planning, management, impact assessment, sustainability, and Local Agenda 21 issues.

Housing and community

-Social housing
-Community development

Information technology in construction

-Computer-based information search
-Retrieval systems
-Building product modelling with a philosophy of taking basic and applied research through to the end users

Landscape architecture, landscape planning, landscape design and landscape management

-Landscape architecture theory, philosophy and environmental ethics
-Sustainable landscape planning, design and management
-The history and development of the designed and cultural landscape

International urban development

-Interpreting and managing change in diverse urban contexts
-Improving the environment and quality of life in the cities of the developing world

Planning processes and policy

-Contemporary policy and practice issues in planning
-Development and urban regeneration, in the context of theoretical developments and European experiences

Spatial analysis

-Spatial change
-Spatial statistics
-The use of GIS

Urban design

-City design and development
-Design control
-Urban public space
-Public art in cities
-Meaning in the built environment
-Conservation
-Urban regeneration
-Urban design

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Supervision available; research specialisms of staff fall within following major areas. Read more
Supervision available; research specialisms of staff fall within following major areas: technology in mathematics education; teaching and learning of mechanics; medical image processing; missing and coarsened data; spatial and temporal modelling; modelling environmental flows; rheology; non-linear elastic materials; magnetic recording; model-based approaches to statistical disclosure limitation; applied fluid dynamics; particle physics and gauge theories; twister theory; graphs and knots.

Entry Requirements
Masters degree by a UK university or a degree of a non-UK institution deemed to be of equal standing to a UK degree; or a 1st class or 2nd upper class first degree award by a UK university or a degree of a non-UK institution deemed to be of equal standing to a UK degree; or a professional qualification recognised as equivalent to a degree; or other qualifications and experience that have demonstrated that the applicant can meet the challenges and demands of the programme, and 2 satisfactory reports from academic referees; verbal or e-mail references may not be accepted; applicants may also be asked to provide an example of written work.

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The Landscape Architecture and Planning programme stimulates you to reach the top in the field of spatial planning, landscape architecture and landscape research. Read more

MSc Landscape Architecture and Planning

The Landscape Architecture and Planning programme stimulates you to reach the top in the field of spatial planning, landscape architecture and landscape research. The study involves the research, planning and design of landscape to create and maintain places to be functional, meaningful, sustainable and beautiful.

Programme summary

Landscapes form our living environment. Natural landscapes are often beautiful in themselves, however most of those we now live in are the result of our complex interaction with the natural world. The new generation of landscape architects and spatial planners understand the challenges we face when shaping and creating the landscapes that form a key component of our living environment. Your goal is to study and design sustainable solutions for important landscape challenges such as climate change, energy needs, health, food security and urbanisation.

Specialisations

The programme offers two specialisations: landscape architecture and spatial planning.

Landscape Architecture
Your primary focus as a Wageningen landscape architect is the design and construction of metropolitan landscapes situated in estuaries and deltas worldwide. Your goal is to create sustainable designs based on a thorough investigation of the ecological, behavioural and aesthetical disciplines.

Spatial Planning
As a spatial planner you develop scenarios for future landscape transformation and evaluate the effectiveness of these scenarios for many different stakeholders. You study planning processes and generate and organise the theoretical and practical knowledge needed for spatial interventions.

Your future career

Once you graduate with an MSc in Landscape Architecture and Planning, you are well-prepared for a career as a landscape architect, spatial planning consultant, project manager, policy adviser and academic or applied researcher. Many of our alumni hold senior positions at consultancy and engineering companies, planning and design bureaus, district water boards, government agencies and universities. A number work for large multinationals, while others have set up their own company or are employed by small and medium sized enterprises.

Students Ruud Tak and Jesper Borsje.
For their thesis, Jesper and Ruud investigated sustainable tourism development in coastal landscapes. They visited the Dubrovnik Rivièra in Croatia for their case study and explored and developed an integrated design strategy for tourism development. Their designs on a regional and local scale show how site-specific landscape identities can function as a base for future sustainable tourism development. “We visited our study area twice. We explored the area ourselves, participated in workshops, and held interviews with local people. This gave us unique insights in the issues that arise when working in a different culture and landscape.”

Related programmes:
MSc Earth and Environment
MSc International Development Studies
MSc Development and Rural Innovation
MSc Geo-information Science
MSc Forest and Nature Conservation

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The Remote Sensing and Geographic Information Systems Master of Science Program at UAE University is the first of its kind in the region. Read more
The Remote Sensing and Geographic Information Systems Master of Science Program at UAE University is the first of its kind in the region. It is designed to provide you with the theoretical background and practical skills to start or advance your career in remote sensing and GIS. Our curriculum has been specifically developed to suit students from diverse academic backgrounds and professional occupations. No prior remote sensing or GIS experience is required to excel in the program. (Total credit hours is 30 for theses and 34 for no-theses). For more details on this program, click here: http://www.chss.uaeu.ac.ae/en/rsgis/index.shtml

Program Objectives

‌•Discuss the theoretical background and practical skills for a career in Remote Sensing or GIS.
‌•Identify the recent advances in Remote Sensing, GIS and GNSS relating that with scientific research and its role in the society.
‌•Apply analytical and spatial thinking skills needed for successful use of remote sensing and GIS in solving spatial problems.

Program Learning Outcomes

‌•Upon successful completion of this program, students will be able to:
‌•Discuss the theoretical principles of remote sensing and GIS and their role in modeling and solving environmental, urban and social issues.
‌•Recognize advanced analysis and interpretation skills needed in remote sensing and GIS.
‌•Apply practical remote sensing and GIS procedures for assessing and solving environmental, urban, geologic and societal problems.
‌•Communicate remote sensing and GIS related ideas and results both orally and in writing.
‌•Develop remote sensing and GIS project management, team work and leadership skills.
‌•Produce scientific research related to the applications of remote sensing and GIS.

Program Structure

‌•Required Courses (18.00 hours)
‌•Principles of Remote Sensing
‌•Fundamentals of GIS
‌•Digital Image Processing in RS
‌•Spatial Analysis Using GIS
‌•Local & Web Based Services GIS
‌•Database Management Systems
‌•Seminar on Management Issues in RS&GIS
‌•Geo-Statistics

Elective Courses - 6CH for Thesis option and 12CH for Non-Thesis option (12.00 hours)

‌•Coastal Management
‌•Spatial Data Collection
‌•Advanced Remote Sensing
‌•Satellite Positioning
‌•Software Engineering for GIS
‌•Selected Topics
‌•Project Management
‌•Transport Applications of GIS
‌•Urban and Environmental Applications of Remote sensing and GIS
‌•Remote Sensing and GIS for Petroleum

Thesis or Capstone

Required Courses (Min CH:4 and Max CH:6) (6.00 hours)

‌•Capstone
‌•Thesis

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The Master of Public Health (MPH) programme is designed to prepare students for leadership in scientific and management roles in Public Health. Read more
The Master of Public Health (MPH) programme is designed to prepare students for leadership in scientific and management roles in Public Health. It attracts students from clinical and health related disciplines from all over the world.

Why study Public Health at Dundee?

This course provides high quality training in the application of epidemiological, statistical and behavioural techniques used in public health practice and research.

You will have the opportunity to improve generic and transferable skills and will be ideally placed to pursue a career in research or public health practice. The MPH also provides an ideal springboard for further postgraduate study at PhD level.

What's so good about studying Public Health at Dundee?

"My experience with the MPH course was positive in every respect. From the quality of the teaching to the academic support by members of the department, it was a highly rewarding experience. I would strongly recommend the MPH course at the University of Dundee"
Dr Thaofiq Olatunde Ijaiya (MPH, 2007)

"The MPH provides an invaluable experience of being taught by inspiring academics with excellent research experience in the field"
Tony Barr, Programme Manager - Nursing (MPH, 1996)

"The design and execution of the MPH programme was very good. However, I was most fulfilled during the research dissertation stage. It was a wonderful experience and I am prepared for the future research challenges."
Dr Ekwem Divine (MPH, 2010)

Teaching & Assessment

This course is taught predominantly by staff from the School of Medicine and guest lecturers from further afield.

The full time MPH course lasts for one year. The taught component takes nine months and is followed by research leading to a dissertation. All students initially enrol on a diploma programme (DipPubH) which includes the taught component only. To progress to the Masters programme and undertake the Masters dissertation students must obtain an overall pass of 60% in the taught component. Both programmes may be undertaken on a part-time basis.

This course has one start date - September

How you will be taught

The course is focussed on the academic needs of its students but also provides emotional and pastoral care as required. The inclusion of optional modules creates flexibility, which allows students to tailor the MPH to their specific requirements.

A variety of teaching and assessment methods are used to give students the best possible learning opportunity
Students are given formative assessment on all assignments

Students have a spacious teaching room with networked computers at their disposal

Lecturers operate an open door policy and students are encouraged to seek advice/help at any time

Students are given the opportunity to choose a dissertation topic which reflects their interest, then advised on the most appropriate supervisor

The rich research environment within the Division gives students the opportunity to work on a range of topics

The Division has weekly research seminars during term time, to which students are invited to attend
What you will study

The programme consists of the following modules

Core:
Public Health
Epidemiology
Introduction to Clinical Statistics
Research Methods
Behavioural & Social Science
Applied Epidemiology
Statistics for Clinical Trials
Applied Statistics with Routine Health Datasets
Introduction to Systematic Reviews
Data Visualization
Spatial Epidemiology

Optional:
Students studying for a Master of Public Health then undertake research and write a dissertation.

How you will be assessed

The student's performance is monitored by continuous assessment throughout the programme. Written and oral examinations are held in December, March and May. Examinations are graded passes (A to D) or fail.

Students must obtain grade D or above in all written and oral examinations in order to be awarded the Diploma.

To be eligible to progress from the Diploma onto the Masters, students must pass the examination of each subject and achieve a minimum overall pass at B or above (60%).

Careers

The MPH prepares students for research and management careers in public health and also a variety of medical and health related disciplines.

Previous students graduating with the MPH from Dundee have taken up management positions in public health practice, nursing, professions allied to medicine, education, government, WHO and NGOs; and research positions within academic public health, general practice, acute medicine, nursing, professions allied to medicine, veterinary medicine, dentistry and environmental health.

The MPH also provides an ideal springboard for further postgraduate study at PhD and MD level.

"I had a wonderful time during my stay at Dundee. Scotland as a whole and Dundee in particular have very friendly and hospitable people. This course is a well-balanced general MPH course. It will provide the prospective students with a good foundation and skill set to advance their career in research, management or academics.
Syed Asif Shah, MD. MPH. MBA. FACC. FACP, Assistant professor of Cardiology (MPH 1990)

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Your programme of study. Ecology is an important discipline to inform many different environmental management issues which often involve wider impacts being assessed for planning and other purposes. Read more

Your programme of study

Ecology is an important discipline to inform many different environmental management issues which often involve wider impacts being assessed for planning and other purposes. There is an increasing desire to utilise sites which are environmentally sensitive and this puts pressure on ecology and habitat survival. There are many other types of environmental impacts which are often hidden but also affect Ecology such as the many different pollutants which are often highlighted monthly. Species decline is becoming a well known issue globally and the ability to maintain and continue species and grow is important in a declining environment.

The programme comes from a very strong department which has been ranked consistently at number 1 in soil science and soil ecology in the UK (REF 2014). The Master's in Ecology has very solid foundations as it has been taught to generations for over 50 years and with this comes considerable knowledge and experience. With this programme you get a chance to influence how we utilise our environment and manage it to the best ability to preserve our ecology.

Our MSc programme provides flexibility to enable you to gain knowledge and skills to meet your career aspirations, whether in research or as a practicing ecologist. The programme runs through a full year, starting with a field course and culminating in a major research project. You will have the opportunity to gain hands on experience of everything from field survey to chairing discussions, from statistics and modelling to report writing and from identifying important ecological questions to researching them and writing a scientific paper. Previous graduates have gone on to the top of their chosen profession in research, consultancy, conservation, policy, education and advocacy.

Courses listed for the programme

Semester 1

  • Experimental Design and Analysis
  • Introduction to GIS
  • Plant Ecology
  • Population and Community Ecology

Optional Courses

  • Statistics for Complex Study Designs
  • Introduction to Ecological Field Research in Northern Scotland
  • Molecular Ecological Techniques
  • Soils for Food Security
  • Aquaculture
  • Introduction to Bayesian Inference

Semester 2

Compulsory

  • Research Project Planning

Optional

  • Environmental Impact Assessment
  • Spatial Information Analysis
  • Marine Spatial Management and Top Predators
  • Readings in Ecology, Conservation and Environment
  • Ecology, Conservation and Society
  • Catchment Management
  • Environmental Management Plan
  • Applied Forest Ecology
  • Advanced Modelling for Ecology and Conservation

Semester 3

  • Project in Ecology

Find out more detail by visiting the programme web page

Why study at Aberdeen?

  • Ecology has been taught at Aberdeen for over 50 years and Plant Ecology and Soil Science is No 1 in the UK (REF 2014)
  • You will be taught be known ecologists who are active in research, management and nature conservation
  • Aberdeen is ideally situated to take full advantage of coastal, inland, rural and wild landscapes and environments

Where you study

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

International Student Fees 2017/2018

Find out about international fees:

  • International
  • EU and Scotland
  • Other UK

Find out more about fees on the programme page

*Please be advised that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page and the latest postgraduate opportunities

Living in Aberdeen

Find out more about:

Your Accommodation

Campus Facilities

Find out more about living in Aberdeen and living costs



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