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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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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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The MSc in Clinical Research is an in-depth training programme which builds on the introduction to clinical research in the PgCert and the training in evidence-based medicine and specialist skills gained in the PgDip. Read more
The MSc in Clinical Research is an in-depth training programme which builds on the introduction to clinical research in the PgCert and the training in evidence-based medicine and specialist skills gained in the PgDip.
The programme provides an introduction to clinical research and applied methodological skills and enables you to translate research into practice. It can be taken as a one, two or three year programme.

You will develop and undertake a research project designed, delivered and submitted as a dissertation. This project is undertaken in your own professional context, under academic supervision.

Modules
• The Life Cycle of Clinical Research
• Methodological Foundations
• Translating Research into Healthcare Policy and Practice
• Practice-Based Dissertation

Plus optional modules including:
• Evidence-Based Improvement Science
• Quality Improvement and Measurement
• Drug Development (from concept to clinic)
• Philosophy of Research
• Infectious Disease Modelling
• Spatial Statistics
• Secondary Data Analysis

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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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The Department of Geography and Planning ​offers facilities for research leading to the degrees of Master of Arts (MA), Master of Science (MSc), Master of Science in Planning (MScPl), and Doctor of Philosophy (PhD) in either Geography or Planning. Read more
The Department of Geography and Planning ​offers facilities for research leading to the degrees of Master of Arts (MA), Master of Science (MSc), Master of Science in Planning (MScPl), and Doctor of Philosophy (PhD) in either Geography or Planning. The PhD program prepares students for academic careers in teaching and research. Some may also pursue an advanced career in the public or non-profit sectors, given the rising demand outside of academia for people with a PhD credential.

In Geography, faculty conduct research in the following areas: geomorphology, climatology, hydrology, biogeography, pedology, environmental assessment and sustainable natural resource management, international development, industrial innovation, urban and economic geography, cultural and historical geography, gender studies, social geography, regional analysis, the history and philosophy of geography, remote sensing, computer cartography, spatial statistics, topics in land/geographic information systems, and quantitative analysis. The territories of special concern are Canada, the United States, Latin America, the Caribbean, Northwestern and Central Europe, East Asia, South Asia, and the former Soviet Union.

In Planning, faculty work involves social, economic, cultural, and other vital considerations. In spatial scale, it ranges from the design of individual communities to policy planning at the national level to international development. Planning specializations include land use, transportation, urban design, social policy, public health, economic development, international development, and the environment.

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The Department of Geography and Planning ​offers facilities for research leading to the degrees of Master of Arts (MA), Master of Science (MSc), Master of Science in Planning (MScPl), and Doctor of Philosophy (PhD) in either Geography or Planning. Read more
The Department of Geography and Planning ​offers facilities for research leading to the degrees of Master of Arts (MA), Master of Science (MSc), Master of Science in Planning (MScPl), and Doctor of Philosophy (PhD) in either Geography or Planning. The PhD program prepares students for academic careers in teaching and research. Some may also pursue an advanced career in the public or non-profit sectors, given the rising demand outside of academia for people with a PhD credential.

In Geography, faculty conduct research in the following areas: geomorphology, climatology, hydrology, biogeography, pedology, environmental assessment and sustainable natural resource management, international development, industrial innovation, urban and economic geography, cultural and historical geography, gender studies, social geography, regional analysis, the history and philosophy of geography, remote sensing, computer cartography, spatial statistics, topics in land/geographic information systems, and quantitative analysis. The territories of special concern are Canada, the United States, Latin America, the Caribbean, Northwestern and Central Europe, East Asia, South Asia, and the former Soviet Union.

In Planning, faculty work involves social, economic, cultural, and other vital considerations. In spatial scale, it ranges from the design of individual communities to policy planning at the national level to international development. Planning specializations include land use, transportation, urban design, social policy, public health, economic development, international development, and the environment.

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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 50 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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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.
-The University of Glasgow’s School of Mathematics and Statistics is ranked 4th in Scotland (Complete University Guide 2015).
-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.
-With a 94% overall student satisfaction in the National Student Survey 2014, the School of Mathematics and Statistics combines both teaching excellence and a supportive learning environment.

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

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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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 University of Glasgow’s School of Mathematics and Statistics is ranked 4th in Scotland (Complete University Guide 2015).
-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.
-With a 94% overall student satisfaction in the National Student Survey 2014, the School of Mathematics and Statistics combines both teaching excellence and a supportive learning environment.

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 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.
-The University of Glasgow’s School of Mathematics and Statistics is ranked 4th in Scotland (Complete University Guide 2015).
-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.
-With a 94% overall student satisfaction in the National Student Survey 2014, the School of Mathematics and Statistics combines both teaching excellence and a supportive learning environment.

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.

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 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.
-The University of Glasgow’s School of Mathematics and Statistics is ranked 4th in Scotland (Complete University Guide 2015).
-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.
-With a 94% overall student satisfaction in the National Student Survey 2014, the School of Mathematics and Statistics combines both teaching excellence and a supportive learning environment.

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

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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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.

Degree information

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

Core modules
-Archaeological Data Science
-Complexity, Space and Human History

Optional modules
-Agent-based Modelling of Human History
-Exploratory Data Analysis in Archaeology
-GIS Approaches to Past Landscapes
-GIS in Archaeology and History
-Remote Sensing
-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.

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. 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 and consultancies.

Top career destinations for this degree:
-Database Administrator, Deloitte
-Data Science Analyst, M2M
-Graphical Information Systems (GIS) Technician, BSG Ecology

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 two Linux servers, ten powerful workstations running Microsoft Windows 7, 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.

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This course will commence. The PgDip/MSc course in Environmental Management and Geographic Information Systems is PART-TIME and offered by DISTANCE LEARNING. Read more
This course will commence

September 2017

The PgDip/MSc course in Environmental Management and Geographic Information Systems is PART-TIME and offered by DISTANCE LEARNING. It is accredited by the Institution of Environmental Sciences (https://www.the-ies.org)

This course aims to satisfy an industrial and public sector demand for science-­qualified environmental management personnel who can analyse environmental issues and propose viable solutions in fields such as conservation, agriculture, forestry, industry and countryside planning.

It provides a balanced programme studying the core elements of Environmental Management combined with a more detailed study of the techniques of the principles and practice of GIS. It enables students to develop an advanced understanding of the functioning of ecosystems through the study of biodiversity and pollution monitoring and to equip them with the analytical GIS tools to enable effective ecosystem analysis. The GIS elements of the course develop an enhanced understanding of theoretical material relating to data models, data sources and quality, data management, GIS functionality and data analysis. The course provides students with hands-­‐on experience of key GIS packages and other analytical software. Examples are drawn from across the spectrum of physical and social environmental contexts.

Students resident in the UK and Ireland will be provided with a student copy of Esri ArcGIS software free of charge.

Modular Structure

Principles of GIS

This module introduces the theory and practice of Geographic Information Systems, and is intended to provide an understanding of the breadth of potential GIS applications and to equip students with key concepts and skills relating to the input, management, manipulation, analysis and output of spatial data. Lecture-based teaching of key concepts is reinforced by linked practical exercises which allow students to develop competence in ESRI’s ArcGIS package. The module assumes no prior knowledge or experience of GIS.

Spatial Data Management

This module builds on the knowledge and practical skills gained in the Principles of GIS module to provide students with further experience in the acquisition, manipulation and analysis of spatial data. Methods for generating and collecting digital spatial data from primary and secondary sources are considered, and data processing, selection, integration and analysis extensively practiced. Lecture and practical sessions include digitising, geo-registration, GPS, accessing and using secondary sources, spatial join and overlay, network analysis and 3D modelling, and incorporate experience of a variety of large and small scale vector and raster datasets. The module also incorporates practice in statistical analysis and interpretation. Development of GIS software skills focuses on ArcGIS and extensions.

Biodiversity Management

Biodiversity managers make decisions based on understanding ecosystems and by applying ecological principles to achieve their objectives. This module covers key scientific topics, which are crucial for developing effective biodiversity management plans in different ecosystems. It exemplifies how ecological-social-economic factors interact to influence our ability to conserve and manage biodiversity.

Pollution Monitoring

This module provides the knowledge and skills necessary to monitor pollution of the environment. The topics included are: the key elements of the monitoring programmes for air, water and land; sample collection; chemical methods of analysis, including quality assurance; biological methods of analysis, including toxicity tests and bio-assessment; use of environmental models; statistics, data analysis and assessing compliance and; critical loads.

Spatial Analysis

This module builds on the introductory material of the previous GIS modules studied, covering key concepts of spatial data analysis and modelling, and providing extensive practical experience of ESDA and spatial modelling within a GIS environment.

GIS for Environmental Managers

This module examines the application of GIS to environmental management, modelling and impact assessment. It aims to enable students to appreciate the need for properly researched information to support strategic and operational environmental management decisions, and to be aware of the means by which such information can be obtained and evaluated.

Environmental Management Project

This module provides the opportunity for the student to demonstrate the skills acquired during the course, in the form of a final project. The project is presented in the form of a scientific paper on an area agreed with the student’s supervisor.

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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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