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Masters Degrees (Quantitative Analysis)

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The Quantitative Research Methods MSc gives students a broad training in social science research methods, with an emphasis on the quantitative methods most relevant in an academic or policy context. Read more
The Quantitative Research Methods MSc gives students a broad training in social science research methods, with an emphasis on the quantitative methods most relevant in an academic or policy context.

Degree information

There are two routes through the programme: a Policy Analysis pathway, introducing students to statistical analysis and building on this to develop quantitative skills in the analysis of policy; and an Education pathway, which assumes a basic knowledge of statistics and builds on this with an emphasis on the economics of education.

This degree currently runs in blocks of two days per module leaving you plenty of time between modules for further reading and assignments

The programme consists of three core modules (90 credits), two optional modules (60 credits) and a report (30 credits).

Core modules - students choose one of two pathways through this programme: Education or Policy Analysis.
-Impact Evaluation Methods
-Statistical Analysis (Policy Analysis pathway)
-Longitudinal Research and Analysis (Policy Analysis pathway)
-Economic Perspectives on Education Policy (Education pathway)
-Quantitative Analysis 2 (Education pathway)

Optional modules - students take two of the following optional modules:
-Education and Development in Asia
-Educational Testing
-Longitudinal Research and Analysis
-Quantitative Analysis 1
-Quantitative Analysis 3
-Social Policy: Theory, Practice and Research
-Systematic Reviews for Policy and Practice
-Understanding Education Policy

Dissertation/report
All students undertake an independent research project which culminates in a report of 10,000 words.

Teaching and learning
This programme is delivered via face-to-face daytime and evening sessions. Assessment is through coursework assignments and a 10,000-word report.

Careers

Graduates of this Master's degree are currently working as:
-University and college lecturers and researchers
-Civil servants
-Third sector employees
-Teachers
-Journalists
-Social researchers
-Market researchers

Employability
Quantitative skills are in demand and there are a range of professions seeking students with quantitative social science degrees including government departments, academia, journalism, financial analysis for banks and marketing.

Why study this degree at UCL?

UCL Social Science is a research intensive department with world leading experts in quantitative methodology and a broad range of social science subjects. We have a lively community of staff, PhD, MSc and undergraduate students, involved in seminars, workshops and reading groups in addition to formal teaching which you will be free to join.

One of the department’s many specialisations is in applying quantitative methods to data to inform policy on education, health, labour markets, human development and child/adult wellbeing.

The department’s staff have a broad range of interests, which includes expertise in economics, sociology, psychology, social statistics, survey methods and data collection, mixed-methods research, and the techniques of policy evaluation.

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This Master's degree offer a strategic perspective on marketing management, a discipline that is increasingly being seen as critical to success in achieving business goals, and as a core function in many organisations. Read more
This Master's degree offer a strategic perspective on marketing management, a discipline that is increasingly being seen as critical to success in achieving business goals, and as a core function in many organisations. Depending on your choice of modules, your final award could be either Master of Arts (MA) or Master of Science (MSc).

Students on this course are eligible for an Affiliate Professional Membership of Chartered Institute of Marketing (CIM) and access to a range of professional events.

Course content

You will develop a strategic perspective and broaden your existing understanding of marketing and its integration into an overall corporate strategy and structure. You will hone your capacity for analysing complex marketing and business situations and reaching decisions on appropriate courses of action. You will also improve your career prospects in marketing and general business areas.

A highlight for many students is the residential weekend organised as part of this course – a weekend away combining presentations and workshops with great opportunities to network and get to know your fellow students.

Students on this course benefit from free access to part of the material on the course reading list.

Modules

The following modules are indicative of what you will study on this course.

Core modules – MA
-DISTRIBUTION AND PRICE MANAGEMENT
-INTEGRATED MARKETING COMMUNICATIONS IN A DIGITAL AND GLOBAL WORLD
-MARKETING CREATIVITY AND INNOVATION
-MARKETING DISSERTATION
-MARKETING RESEARCH INSIGHTS
-PRODUCT AND BRAND MANAGEMENT
-STRATEGIC MARKETING IN AN INTERNATIONAL CONTEXT
-USING CONSUMER PSYCHOLOGY TO UNDERSTAND BUYER BEHAVIOUR

Core modules – MSc
-DISTRIBUTION AND PRICE MANAGEMENT
-INTEGRATED MARKETING COMMUNICATIONS IN A DIGITAL AND GLOBAL WORLD
-MARKETING DISSERTATION
-MARKETING RESEARCH INSIGHTS
-PRODUCT AND BRAND MANAGEMENT
-QUANTITATIVE ANALYSIS FOR MARKETING MANAGEMENT
-STRATEGIC MARKETING IN AN INTERNATIONAL CONTEXT
-USING CONSUMER PSYCHOLOGY TO UNDERSTAND BUYER BEHAVIOUR

Fast-track marketing management MA/MSc

A fast-track route to the Marketing Management MA qualification is available for holders of the CIM Postgraduate Diploma in Marketing (or equivalent). Holders of this qualification will be exempt from all but two modules:
-For MA: Marketing Creativity and Innovation Marketing Dissertation
-For MSc: Quantitative Analysis for Marketing and Management Marketing Dissertation

The fees will be proportional to the number of credits studied. Dissertation (40 credits) Quantitative Analysis for Marketing Management (20 credits).

Accredited internship

All students on our full-time business Masters courses can apply to undertake the PG/MBA Internship Programme Reflective Practitioner Module. This is an 8 week unpaid accredited internship, which can be taken in addition to option modules and will help students to gain invaluable work experience. The internships, which are with London-based organisations, take place during the summer period. To apply, students must submit a completed application form and a copy of their updated CV to the Business Experience Team; the team then shortlist from the applications and conduct group meetings with the applicants.

Ultimately it is up to our internship employers to decide whether they would like to interview the candidate(s) and offer him/her an internship. We have received very positive feedback from both postgraduate students and employers and expect that the internship programme will continue to remain popular amongst our students.

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This programme is distinctive in its commitment to provide training in both mainstream economics and heterodox alternative theories and methods, quantitative skills, and application to a variety of contemporary topics and global economic issues. Read more

MSc

This programme is distinctive in its commitment to provide training in both mainstream economics and heterodox alternative theories and methods, quantitative skills, and application to a variety of contemporary topics and global economic issues. This reflects one of our key institutional roles in leading the debates in political economy and pluralistic economics. It also places applied focus on policy engagements and their theory foundations, drawing on our strengths and expertise in those areas.

This programme will equip you with the specialist knowledge required by international employers in both the business and public sectors; as well as providing rigorous foundations for those who wish to go on to research in economics at the PhD level.

This programme is distinctive in its commitment to provide trainnig in both mainstream economics and heterodox alternative theories and methods, quantitative skills, and application to a variety of contemporary topics and global economic issues. This reflects one of our key institutional roles in leading the debates in political economy and pluralistic economics. It also places applied focus on policy engagements and their theory foundations, drawing on our strenghts and expertise in those areas.

This programme will equip you with the specialist knowledge required by international employers in both the business and public sectors; as well as providing rigorous foundations for those who wish to go on to do research in economics at the PhD level.

Graduate Diploma

This one-year diploma is administered by the Department of Economics and provides students with a solid understanding of the main topics in economics. It is a programme largely at an undergraduate level, designed both as an entry qualification for postgraduate study and as a bridge between undergraduate and postgraduate work.

The programme is suitable as a standalone qualification for those wishing to change their career path or develop within their present profession. Alternatively, the Diploma acts as a conversion course for students without previous economics training who wish to take an MSc programme in Economics.

The programme is offered on a full-time basis, over a period of nine months commencing in early September with a three weeks long pre-sessional. Subsequently, students take four courses: Microeconomic Analysis, Macroeconomic Analysis, Quantitative Techniques in Economics OR Econometrics, and EITHER Issues in Economic Development OR International Economics OR Banking and Finance. Assessment is in the form of written examinations and course work. Completion of the Graduate Diploma at an acceptable level allows students to take one of the MScs in Economics in the following year.

The Graduate Diploma may also be taken on a part-time basis over two years. Students undertaking the programme on that basis must take Microeconomic Analysis and Quantitative Techniques in Economics OR Econometrics in the first year, and take Macroeconomic Analysis and EITHER Issues in Economic Development OR International Economics OR Banking and Finance in the second year. The pre-sessional in September requires full-time attendance.

The entry requirements are normally a first or upper second class honours degree (or equivalent). Other relevant experience, including good qualifications in a less relevant subject area may be considered. Applicants can apply using the postgraduate online application form. online application form (http://www.soas.ac.uk/admissions/pg/howtoapply/).

Visit the website http://www.soas.ac.uk/economics/programmes/dipecon/

Pre-sessional (Preliminary Economic Analysis)

The aim of Preliminary Economic Analysis is to provide a condensed introduction to the fundamental concepts of micro- and macroeconomics. It is designed to give students a rigorous, systematic and comprehensive overview of basic microeconomic and macroeconomic theory. Through the introduction and analysis of theoretical concepts, ideas and techniques, it provides the necessary background for students to successfully complete the Diploma courses Microeconomic Analysis and Macroeconomic Analysis. Please go to Preliminary Economic Analysis for further detail (http://www.soas.ac.uk/courseunits/153400091.html).

Programme Specification

Graduate Diploma Programme specification (pdf; 151kb) (http://www.soas.ac.uk/economics/programmes/dipecon/file76402.pdf)

Full Time Study

All students are required to take and pass the following four courses which are taught in a combination of lectures and small class tutorials:

1. Microeconomic Analysis (Diploma) (153400131)
2. Macroeconomic Analysis (Diploma) (153400132)
3. ONE of the following optional modules:

Quantitative Techniques (153400116)
OR
Econometrics (153400103)

4. ONE of the following optional modules:
Issues in Development Economics (Diploma) (153400118)
OR
International Economics (Diploma) (153400117)
OR
Banking and Finance (Diploma) (153400122)

Part Time Study

The Graduate Diploma may also be taken on a part-time basis over two years. Students undertaking the programme of that basis must take Microeconomic Analysis and Quantitative Techniques in Economics or Econometrics in the first year, and take Macroeconomic Analysis and EITHER Issues in Economic Development OR International Economics OR Banking and Finance in the second year.

Microeconomic Analysis, Macroeconomic Analysis, Issues in Economic Development, International Economics and Banking and Finance are assessed by written examination (80%) and assessed coursework (20%). Quantitative Techniques and Econometrics are assessed by written examination (100%). Three-hour written examinations are held in May/June. There is no assessment for Preliminary Economic Analysis.

Find out how to apply here - http://www.soas.ac.uk/economics/programmes/dipecon/

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The revolution in genetic mapping technology and the advent of whole genome sequences has turned quantitative genetics into one of the fastest growing areas of biology. Read more

Programme description

The revolution in genetic mapping technology and the advent of whole genome sequences has turned quantitative genetics into one of the fastest growing areas of biology.

Quantitative Genetics & Genome Analysis is part of a suite of programmes offering specialist routes in Animal Breeding & Genetics, Evolutionary Genetics, or Human Complex Trait Genetics.

Based in the internationally renowned Institute of Evolutionary Biology, this MSc draws from the wealth of expertise available there, as well as the teaching, research expertise and facilities of Scotland’s Rural College, the University’s Centre for Molecular Medicine, the Medical Research Council’s Human Genetics Unit and the Roslin Institute (birthplace of Dolly the sheep).

Each year the syllabus is fine-tuned to suit current issues in evolutionary, plant, human and animal genetics.

Applicants who wish to select their area of specialisation during the programme should apply for this umbrella programme. Applicants with a preferred programme option should apply via the following links:

Animal Breeding and Genetics
Evolutionary Genetics
Human Complex Trait Genetics

Programme structure

This programme consists of two semesters of taught courses followed by a research project, leading to a dissertation.

Compulsory courses:

Population and Quantitative Genetics
Genetic Interpretation
Statistics and Data Analysis
Linkage and Association in Genome Analysis
Research Proposal
Either Bioinformatics or Molecular Phylogenetics

Option courses (selected according to degree specialisation):

Quantitative Genetic Models
Molecular Evolution
Genetics of Human Complex Traits
Animal Genetic Improvement
Evolution and Climate Change
Functional Genomic Technologies

Career opportunities

You will develop the in-depth knowledge and specialised skills required to apply quantitative genetics theory to practical problems, in both the biomedical and animal science industries, and to undertake research in evolutionary genetics, population genetics and genome analysis.

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The MSc in Quantitative Finance develops sophisticated statistical, programming and economic skills for roles in areas such as quantitative asset management and risk management. Read more
The MSc in Quantitative Finance develops sophisticated statistical, programming and economic skills for roles in areas such as quantitative asset management and risk management.

The MSc in Quantitative Finance will equip you with a rigorous understanding of the theory behind asset pricing, fixed income securities and risk management, supported by solid knowledge of numerical analysis and programming languages; special emphasis is on econometric techniques as forecasting and market microstructure analysis.

Typical career paths of graduates from our MSc in Quantitative Finance include research positions (in both financial and academic institutions), or roles involving the assessment of market microstructure across a number of exchanges, stress testing/scenario analysis, development and improvements of asset allocation models and analysis of potential investment vehicles across different asset classes, such as Hedge Funds Risk Analyst, Financial Analyst and Asset Allocation Analyst.

The demand for recruits with strong quantitative skills has spread beyond the pure derivatives area, and graduates from the course move into a range of careers in the financial sector. Cass's proximity to the City of London helps graduates to access outstanding career opportunities, especially as Cass has close links with many City institutions.

Visit the website: http://www.cass.city.ac.uk/courses/masters/courses/quantitative-finance

Course detail

There are two Induction Weeks The Quantitative Finance course starts with two compulsory induction weeks, focused on:

• an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.

• a reminder course of advanced financial mathematics, statistics and basic computing which forms a prerequisite of the core modules in term 1.

Format

To satisfy the requirements of the degree programme students must complete:

• eight core courses (15 credits each)
and
• two additional core modules plus three electives (10 credits each)
or
• three electives (10 credits each) and an Applied Research Project (20 credits)
or
• one elective (10 credits) and a Business Research Project (40 credits)

Assessment

Assessment of modules on the MSc in Quantitative Finance, in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.

Career opportunities

Although investment and hedge funds remain the biggest users and innovators in quantitative finance, other financial sectors such as commercial banking, insurance and fund management are now keenly interested. Fund managers and hedge funds, for example, make extensive use of quantitative techniques to develop trading strategies, optimise portfolios and assess risk.

Some examples of where graduates from the MSc in Quantitative Finance class of 2014 are working are:

• Capita Asset Services - Analyst
• RBS - Graduate Risk Analyst
• Dong MeKong Construction Manufacture and Trading - Project Assistant
• nPOWER - Quant Risk Analyst

How to apply

Apply here: http://www.city.ac.uk/study/postgraduate/applying-to-city

Funding

For information on funding, please follow this link: http://www.city.ac.uk/study/postgraduate/funding-and-financial-support

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The Master’s Programme in Quantitative Economics and Finance (MiQE/F) offers a high-quality graduate education in economic theory, finance and quantitative methods. Read more
The Master’s Programme in Quantitative Economics and Finance (MiQE/F) offers a high-quality graduate education in economic theory, finance and quantitative methods. Apart from a common set of core courses, our students are able to select from a large menu of elective courses to specialise in economics, finance, or a combination of both. The MiQE/F prepares students for ambitious careers where a solid understanding of the theoretical foundations of economics and finance and a rigorous competence in quantitative methods are required. This combination provides MiQE/F graduates with a competitive advantage on the job market and direct access to highly selective Ph.D. programmes.

Curriculum

The MiQE/F is a research-oriented programme. The objective of the programme is to educate highly-qualified economists with special skills in the area of quantitative methods. The MiQE/F uniquely combines theoretical concepts, quantitative methods and their application to practical problems. On the basis of well-understood theory and methodology, students develop the skills necessary to analyze and solve complex practical problems.

Students need to successfully complete a course load of 90 ECTS in order to graduate with an M.A. HSG in Quantitative Economics and Finance.
In the MiQE/F programme, the compulsory courses mainly focus on economic theory and quantitative methods. This allows you to choose core electives according to your interests and talents and to shape your profile.

Compulsory courses
In the compulsory courses you will acquire basic methods and a theoretical knowledge of economics, finance and econometrics, as well as mathematics and statistics:
• Econometrics I / II
• Theory of Finance
• Advanced Microeconomics II
• Advanced Macroeconomics II
• Statistics
• Mathematics
• Advanced Mathematics and Statistics

Core electives and specialisations
The core electives involve advanced application- oriented work and problem-solving and allow for various specialisations. The different areas of specialisation include optional courses in econometrics, finance and economics, which are important to prepare for quantitative applications. The three specialisation areas can be flexibly combined. You can choose core electives and will have the possibility to create your profile by specialising within a field of your interest:
• Quantitative economics
• Quantitative finance
• Corporate finance, banking and insurance

Master’s thesis
The topic of the Master’s thesis has to be chosen from the MiQE/F core studies. When writing your thesis, you will be applying the skills you have acquired to explore a special research topic. The thesis must be written in English.

Contextual Studies
Contextual Studies are an opportunity to acquire leadership skills and develop intellectually and culturally beyond the scope of core studies. You are free to choose from Contextual Studies irrespective of your particular Master’s programme.

The Master´s Programme in Quantitative Economics and Finance (MiQE/F) has been continuously renewing its structure and curriculum to meet the changing needs in today's academic and business worlds. For the updated programme content, please refer to the programme's website: http://www.miqef.unisg.ch

Double degree and exchange programmes

By choosing the MiQE/F you can benefit from obtaining a double degree from the HSG and an additional leading European university: SSE, Stockholm (exclusively for economics students); ESADE, Barcelona; HEC, Paris; RSM, Rotterdam; and Bocconi, Milan. By choosing the MiQE/F, you will also have the opportunity to apply for the CEMS Master’s in International Management (CEMS MIM). To extend your choice of courses, the University of St.Gallen and the University of Constance (Germany) have agreed to cooperate at the Master’s Level. MiQE/F students thus have the possibility to choose certain courses from the Master’s Programme in International Economic Relations at the University of Constance, and vice versa.
Furthermore, the University of St.Gallen offers exchange programmes for its students with 190 partner universities worldwide.

Career perspectives - A competitive advantage

Graduates with an economics degree often lack an in-depth education and extensive training in quantitative methods, whereas mathematicians and statisticians often lack the necessary background in economics or finance. The analysis of complex real world problems in international economic policy making, financial sector developments and private industry increasingly requires the use of rigorous quantitative and theoretical methods as they are offered by the MiQE/F.
The MiQE/F programme prepares students for ambitious careers that require a sound training in economics and finance, as well as in statistical and econometric methods. Your competitive advantage on the job market – after graduating from the MiQE/F – is the combination of your expertise in quantitative methods and a profound knowledge of economics and finance.

Language

The programme is taught in English.

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Would you like to undertake advanced study in quantitative analysis in an environment of research excellence? To question how we understand and assess empirical findings reported within applied economics?. Read more
Would you like to undertake advanced study in quantitative analysis in an environment of research excellence? To question how we understand and assess empirical findings reported within applied economics?

Our popular course emphasises the foundations of econometrics and its application to a wide range of topics in economics. You explore topics including:
-The statistical foundations for a variety of estimating methods
-Ways of testing economic hypotheses
-The classical linear regression model
-The use of asymptotic methods in econometrics
-The analysis of stock markets and other financial data

We are top 5 in the UK for research, with over 90% of our research rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

On our course you will develop key employability skills including statistical analysis, mathematical techniques, research, analytical reasoning and modelling.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation
-Microeconomics
-Macroeconomics
-Time Series Econometrics
-Estimation and Inference in Econometrics
-Economic Development Theory (optional)
-Economics of Financial Markets (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Game Theory and Applications (optional)
-International Finance (optional)
-International Trade (optional)
-Mathematical Methods (optional)
-Microeconometrics (optional)
-Monetary Economics (optional)
-Panel Data Methods (optional)
-Political Economy (optional)
-Theory of Industrial Organisation (optional)
-Topics in Financial Economics (optional)
-Banking (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)
-Behavioural Economics II: Games and Markets (optional)
-Applications of Data Analysis (optional)

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USA. Our teaching is invigorated by work from several interdisciplinary research groups, like the Sheffield Centre for International Drylands Research, the Urban and Regional Policy Research Institute and the Sheffield Institute for International Development. Read more

About the course

USA. Our teaching is invigorated by work from several interdisciplinary research groups, like the Sheffield Centre for International Drylands Research, the Urban and Regional Policy Research Institute and the Sheffield Institute for International Development.

How we teach

Our staff are active researchers at the cutting-edge of their fields. That research informs our masters courses. As well as the usual lectures and seminars, there are practicals, lab classes, field trips and research projects.

Facilities and equipment

A new £1m Sediment-Solute Systems lab enables geochemical analysis of aqueous and solid phases, especially in the context of biogeochemistry. We have equipment for chromatography, UV spectrometry and flow injection/auto analysis.

Our sample preparation facilities enable digestion, pre-concentration by evaporation under vacuum, and tangential flow filtration. There are alpha and gamma counters, a laser particle sizer and a luminescence dating lab. Field equipment includes automatic water samplers, weather stations, data loggers and environmental process characterisation sensors.

We have high-quality petrological microscopes for examining geological samples. We have labs for spectrometry and for palaeontological preparation, and you’ll also have access to specialist facilities in other departments at the University.

Laptops, camcorders, tape recorders and transcribers are available for your fieldwork. Our postgraduate computer labs have networked workstations for GIS research and climate modelling, ARC/INFO, ERDAS software and specialist software for remote sensing. GIS facilities are also provided by the £5m Informatics Collaboratory for the Social Sciences.

Our new postgraduate media GIS suite has facilities for Skype, video conferencing, web design, video editing and creative media.

Fieldwork

Most of our courses involve fieldwork. The MPH, MSc and MA International Development take students on a 10-day field trip where they put their research skills into practice. Recent classes visited the West Pokot region of Kenya, urban and rural areas of Nepal, the suburbs of Cairo and India.

Core modules

Quantitative Analysis 1; Applications of GIS; Open Source GIS and Spatial Data Analysis; Research Proposal for Applied GIS; Advanced GIS Methods; The Professional GIS Project.

Examples of optional modules

Quantitative Analysis 2; Urban and Regional Inequalities;Transport Planning; Issues in Housing; Regional Governance.

Teaching and assessment

There are seminars, lectures, workshops and reading groups. You’ll be assessed on your coursework assignments and a dissertation.

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Our MSc Applied GIS will provide you with the mix of technical skills, practical experience and theoretical understanding you need to launch a successful career in the fields of GIS, applied policy research or spatial data analysis. Read more

About the course

Our MSc Applied GIS will provide you with the mix of technical skills, practical experience and theoretical understanding you need to launch a successful career in the fields of GIS, applied policy research or spatial data analysis.

You’ll develop a wide variety of knowledge in areas such as advanced spatial analysis, geovisualisation, policy applications of GIS in practice, and thematic mapping and cartogram creation.

Where your masters can take you

Our graduates work in planning, real estate and related professions with private sector planning and real estate consultants, local authorities, policy analysts and international development and design agencies.

How we rate

The 2014 Research Excellence Framework (REF) says we’re the best RTPI-accredited planning school in the UK. 85 per cent of our research is classed as ‘world-leading’ ‘internationally excellent’ with ‘outstanding impacts’.

How we teach

Nothing is more important to us than your career. We work closely with industry to make sure our courses are up-to-the-minute and relevant so you’ll learn the skills you need to make it to the top in your chosen profession.

You’ll go on site visits and and take part in exercises that simulate real global challenges. Past field trips have included trips to London, Seoul, Cairo and Istanbul. We also organise work placements with planning agencies.

There are lectures, seminars, computer workshops and tutorials. You’re assessed on your coursework and a dissertation.

Autumn semester

Core modules: Quantitative Analysis 1; Applications of GIS; Open Source GIS; Spatial Data Analysis.

Spring semester

Core modules: Research Proposal for Applied GIS; Advanced GIS Methods; The Professional GIS Project.

Examples of optional modules

Quantitative Analysis 2; Transport Planning; Issues in Housing, Regional Governance and Policy.

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The MSc in Finance enables students to systematically develop their understanding of the key principles in finance alongside practical skills in financial management. Read more

Overview

The MSc in Finance enables students to systematically develop their understanding of the key principles in finance alongside practical skills in financial management. The programme is designed for students interested in a wide-range of future careers in finance, including analytical and financial management roles in financial institutions, firms and public organisations, and also lays the foundations for an academic career in finance when followed by a PhD.

The specialist MSc in Finance programme delivers a comprehensive and rigorous treatment of core modern financial theory and quantitative analysis to enable a systematic understanding of a wide-range of modern real world financial applications. Across the programme, students learn to work confidently with both numerical and qualitative economic and financial business data from industry-standard sources such as the Bloomberg Professional Services Platform and Datastream.

See the website https://www.keele.ac.uk/pgtcourses/financemsc/

Course Aims

The MSc in Finance is designed to develop the analytical and technical skills associated with financial asset pricing and hedging, portfolio management and corporate finance. The flexible programme structure enables students to focus on particular areas of interest while building upon a rigorous treatment of modern financial theory and quantitative analysis. Together this will enable an understanding of relevant real world financial problems and their efficient solutions.

Successful students will gain:
- A systematic understanding of knowledge in finance.

- A command of analytical techniques, computing and statistical software in the relevant areas of finance.

- Advanced practical skills in using Bloomberg Professional Services Platform and Datastream for the market data extraction and analysis using industry-standard tools.

- Increased confidence in the analysis, synthesis and evaluation of financial decision-making problems and their solutions.

- Improved employability through enhanced professional and practical skills.

- Career Destination Information:
The course provides students with career related skills and expertise including experience with professional data platforms such as Bloomberg and Datastream. Typical career destinations may include employment in the investment management industry, as a financial officer within a commercial or public organisation, or as a researcher in the area of finance.

Teaching & Assessment

The Course Director who is responsible for running the programme is the main source of support for students. Modules are taught in lectures, tutorials and computer laboratory classes. Practical use is made of standard software and data sources, alongside the Bloomberg Professional Services Platform.

Taught modules are usually assessed by a combination of unseen examination and coursework which may include essays, mini projects and tests. Guidance is provided on the choice of dissertation topics and each student will be assigned a supervisor who will guide the student through to completion.

Additional Costs

Apart from additional costs for text books, inter-library loans and potential overdue library fines, we do not anticipate any additional costs for this postgraduate course.

Graduate Attributes

The Graduate Attributes Statement is designed to raise awareness of the attributes that will be developed whilst you are a student at Keele University. It explains each of the attributes in detail, tips on how to achieve them and how they relate to your chosen programme of study.

Bloomberg Professional Training and Employability Skills

In addition to the learning activities that are part of the MSc programme curriculum, students also benefit from a range of professional training events and activities to build employability skills.

Throughout their studies at Keele, students are able to use Bloomberg Professional service for their financial market research and also hands-on practice of applying professional analytical tools and functions. Bloomberg Professional is accessible from all terminals in KMS multifunctional IT suite.

Students also gain a practical, hands-on experience of stock market trading and portfolio management by taking part in the Keele MSc student investment competition. During the competition, students make investment decisions and manage their portfolios in real time through Bloomberg professional platform which provides experience that is identical to trading in real life. Participants make investment decisions using real data, news and company reports in a very similar way as an equity analyst in the City or on Wall Street. The competition enables participants to:

- Develop Investment Strategies, which includes trading on these strategies and evaluating their effectiveness throughout the competition.

- Develop Research and Analytical Skills by researching the companies using fundamental data and using technical analysis to conclude the investment ideas. All these tools are available in Bloomberg.

- Keep abreast of the Latest Developments of the Market by engaging with current financial markets and following overall market trends, being mindful of mergers and acquisitions or earning releases of their target companies.

- Build Bloomberg Skills by using Bloomberg professional trading platform throughout the competition and utilizing many Bloomberg functions as part of research.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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Organisations across the world are looking to gain a sustainable competitive edge in an increasingly difficult environment. The smarter organisations are using business analysis to make better decisions and deliver business performance and improvement. Read more

Why this course?

Organisations across the world are looking to gain a sustainable competitive edge in an increasingly difficult environment. The smarter organisations are using business analysis to make better decisions and deliver business performance and improvement.

That means more than just collecting and routinely processing large amounts of business data. It means applying sophisticated quantitative techniques to help with decisions, particularly at the strategic levels.

This distance learning course focuses on applying advanced analytical methods to business problems to help managers make better decisions.

You’ll develop an understanding of key quantitative business analysis methods. You’ll also be introduced to business models used to support the development of strategy for organisations and to help them to monitor and measure strategic processes. You’ll also develop key consulting skills to effectively support management.

See the website https://www.strath.ac.uk/courses/postgraduatetaught/businessanalysisconsultingdistancelearning/

You’ll study

All classes are taught using material presented via the internet. Classes are supported by faculty members who also teach on the full-time course. They will guide and support discussion via discussion forums.

The programme contains three stages. In progressing towards completion of the MSc students will undertake the following:

- Postgraduate Certificate in Business Analysis & Consulting
This includes five compulsory classes and one elective class all of which can be completed fully online.
Compulsory classes:
1. Foundations of Operational Research & Business Analysis
2. Quantitative Business Analysis
3. Managing Business Operations
4. Spreadsheet Modelling & Demand Forecasting
5. Strategy Modelling & Management

Elective classes:
One optional class chosen from:
1. Business Simulation Methods
2. Risk Analysis & Management
3. Business Information Systems
4. Performance Measurement & Management

- Postgraduate Diploma in Business Analysis & Consulting
After completion of the Postgraduate certificate two further elective classes and one compulsory class are required to be undertaken.
Compulsory class:
1. Becoming an effective business analyst

Elective classes:
Two elective classes chosen from same list as for the Postgraduate Certificate.
If you wish to proceed to the Postgraduate Diploma you need to be in appropriate employment. The final decision as to what is "appropriate employment" remains with the University of Strathclyde. However, if your employment covers all of the following, you're likely to be in the correct type of post:
- solving problems owned by someone else
- ill-defined problems
- working in teams
- the opportunity to use a variety of Business Analysis techniques
- your work has an influence on the operation of your organisations

Your employment should require some analysis of business situations, in the private or public sector. Samples of your work will form the basis of reflection and learning projects, guided by a personal mentor.

- MSc in Business Analysis & Consulting
Students who complete the Diploma and gain sufficient marks to proceed to the MSc will be expected to undertake a project. The project will be integrated with your employment. You'll have individual personal mentoring to guide you in reflection and learning.

Technical requirements

To undertake this course you need to have:
- Modern PC running Windows Vista or higher, web cam, headset with microphone
- Minimum 2Mb/sec broadband connection
- Microsoft Excel 2010 or higher

NB: Some of the course software is Windows-only and will not run under Linux or on Macintosh computers so use of a PC or PC-emulation software is essential if these operating systems are used.

Start dates

You can start the Certificate programme in October or April. The Diploma course usually runs between September and May, though there is some flexibility with this. It's followed by the project which has a flexible timetable.
Normally, a student should be able to complete the MSc programme in around two and a half years. Please contact us if you need advice about the best start date for you.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at the University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.
To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form , or to ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

All classes are taught using material presented via the internet. Classes are supported by faculty members who also teach on the full-time course. They'll guide and support discussion via forums.

- Virtual Learning Environment (VLE)
As a registered student on this programme you will have full access to our user-friendly VLE. Benefits of using the VLE include:

Anytime, anywhere learning:
At home, at work, on the move, in an internet cafe - all you need is your username and password.

Access to tutors throughout your course:
Unlike many other online courses, you're not simply given your materials and left to get on with it. You're a full student of the University of Strathclyde. Tutor support is equal to that on our other, face-to-face, courses. Tutors and support staff include lecturers and academics whose prime concern is your progress through the course.

Continuously updated, dynamic, interactive online materials:
We constantly update and revise our material.

Online group discussions:
Group discussion is an integral part of the learning process on the all of our distance programmes. Some issues are developed best by peer discussion, often with tutor involvment.

Live question & answer sessions:
Classes often have a "Question& Answer" session, broadcast live by video, audio and text. This is an opportunity for students to ask questions in a group forum. These sessions are archived on the website for those unable to be present at the time.

Live conferencing:
Several sessions of the Postgraduate Diploma are conducted using live conferencing and online collaboration software such as Elluminate and FlashMeeting.

Assessment

Each module includes two pieces of assessment. Around half of these will be assignments and the other half will be by examination at local centres.

Careers

The skills you’ll learn on the MSc make you very marketable to potential employers.
We’ve very good links with business and have hosted recruitment events for many companies, including Barclays Wealth, British Airways, Deloitte, Morgan Stanley, Rolls Royce, Sopra and SIMUL8, to name a few.

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/

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Surrey’s highly regarded Department of Sociology specialises in pioneering research methods and offers a stimulating study environment for our highly sought-after graduates. Read more
Surrey’s highly regarded Department of Sociology specialises in pioneering research methods and offers a stimulating study environment for our highly sought-after graduates.

The MSc Social Research Methods programme is backed by decades of experience: we were the first in the UK to run this type of programme in 1974.

PROGRAMME OVERVIEW

Social researchers employ a constantly evolving range of qualitative and quantitative methods to explore attitudes and experiences, and to understand patterns of social behaviour.

This programme won't just train you in the application of specific research techniques: it will illuminate the connections between sociological theory and empirical research, and relate research to the development of public policy and the analysis of substantive social issues.

Wider issues of the social research process are also covered and include: the planning and management of research projects; the methodological, theoretical, philosophical and ethical aspects of research; and the presentation and publication of research findings.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Documentary Analysis and Online Research
-Field Methods
-Principle of Survey Design
-Research: From Design to Dissemination
-Evaluation Research
-Statistical Modelling
-Theory and Method
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for students on to employment involving the use of social science research
-Introduce students to a variety of different approaches to social science research at an advanced level
-Cover the principles of research design and strategy, including formulating research questions or hypotheses and translating these into practicable research designs
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Introduce students to the philosophical, theoretical and ethical issues surrounding research and to debates about the relationship between theory and research, about problems of evidence and inference, and about the limits of objectivity
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation of research results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, policy makers, professionals, service users and the general public

PROGRAMME LEARNING OUTCOMES

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of research techniques commonly employed in sociological research, from survey research to field methods
-Collect or generate quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Analyse: quantitative data using basic and more advanced skills; qualitative data from both ‘real world’ and ‘virtual world’ environments
-Employ a quantitative and qualitative software package to manage and analyse data
-Apply critical reflection skills to the methodological, theoretical, ethical, and philosophical aspects of social research practice
-Plan, manage and execute research as part of a team and as a sole researcher
-Present research findings to differing audiences
-Have an understanding of the contribution social research makes to social policy formulation and the evaluation of planned social interventions

Knowledge and understanding
-Appreciate the epistemological and ontological questions that underpin social research
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show systematic knowledge of basic principles of research design and strategy
-Understand the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge of techniques, and appropriate use, of quantitative and qualitative data analysis
-Recognise the significance of social/political contexts and uses of research
-Show engagement with innovations and developments in social research
-Demonstrate a comprehensive understanding of research ethics

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Use methodological, theoretical, ethical, and philosophical knowledge about social research practice to address complex issues creatively
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of research techniques commonly employed in sociological research
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Present research findings to differing audiences in both written and oral formats, as appropriate

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Work to deadlines and within work schedules
-Work independently and self-organise
-Apply computing skills for research instrument design, data analysis, and report writing and presentation
-Formulate and solve problems, both individually and as part of a team
-Demonstrate experience of a work environment

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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This programme has been designed provide students with the opportunity to develop a critical understanding of the principles and application of research design and analytical methods relevant to the scientific study of the physiology of sport and exercise. Read more
This programme has been designed provide students with the opportunity to develop a critical understanding of the principles and application of research design and analytical methods relevant to the scientific study of the physiology of sport and exercise. The programme facilitates the integration of theory and professional practice, and throughout the programme the research process and emphasis on student autonomy of learning become increasingly important.

Programme Structure and Content
Research skills oriented modules form the bedrock of SHES’ MRes programmes. As a result taught modules are aligned with both discipline specific and the (higher) cognitive skills our MRes programmes aim to provide. Within a modular structure all students undertake compulsory modules in research skills totalling 40 credits:

Research Skills (20 credits)
and 20 credits from the following modules:

How to Conduct Statistics (20 credits);
Presentation of Statistics (10 credits);
Peer Reviewing (10 credits);
Latent Variable Modelling (10 credits);
plus 20 credits from optional modules and a final compulsory Research Project comprising 120 credits.

Research Skills
Research Skills is a double credit taught module. Students study the broad nature of the research process that will allow them to complete, initially, an appropriate Independent Study (in which a research proposal for the Research Project is completed) and subsequently, a full Research Project. The module covers material relevant to the design and analysis of both quantitative and qualitative research. It also provides a broad understanding of the benefits and limitations of various research methods, research designs, data collection instruments and data analysis tools. Students are given the opportunity to develop their ability to be critically evaluative.

Specific content includes: Statistical issues in quantitative research and design; Simple and multiple (forced entry, moderated and mediated) regression analyses; Single factor analysis of variance with and without repeated measures; Two factor analysis of variance with and without repeated measures; Single factor and two factor multivariate analysis of variance (with and without repeated measures); Repeated measures analysis of variance using the multivariate solution; Doubly repeated measures analysis of variance; Analysis of covariance; Follow-up procedures for all of the above; Assumptions underpinning all of the above and available options for dealing with violations to these assumptions; Experiments and causal inference; External and construct validity; Experimental and quasi-experimental designs; Correlational and epidemiological research; Reliability and validity in quantitative and qualitative research; Issues in qualitative research and design; Interviews; Single case design and analysis; Observation; Narrative; Ethnography; grounded theory and discourse analysis.

How to conduct Statistics and Presentation of Statistics modules
The purpose of these two taught modules is to provide students with an in-depth understanding and critical appreciation of statistical procedures. As independent study based modules, they will enable students to gain a comprehensive understanding of a statistical procedure of their choosing (following consultation with the staff member responsible for the module). Towards this end, students will likely cover (i) relevant background issues; (ii) when to use utilise particular statistical tests;(iii) how to conduct statistical testing via appropriate software; (iv) how to correctly interpret computational output; and (v) how to present the findings following analysis.

Students learn about these themes through a “learning by teaching” paradigm via the development of a statistics oriented verbal presentation and written assignment resembling a book chapter/resource. The verbal presentation will be conducted first in order to obtain developmental feedback for the written assignment.

Peer Reviewing Scientific Research
Students work closely with their supervisor to perform an initial review of a previously submitted (and subsequently published) research article. Students will then follow the paper along the peer review process, discussing their review with their supervisor, and then be required to adequately address concerns which have been raised. Collectively this will mean that the student will cover a contemporary research topic in a highly focused and in-depth manner gaining a comprehensive understanding of how to prepare their own manuscripts (eg research proposal, Research Project) and how to evaluate the research of others. Students will also attend the School’s Research Seminar series.

Latent Variable Modelling
This module introduces postgraduate students to the concepts of Structural Equation Modelling (SEM) and to give a basic grounding in their implementation. It also covers an introduction to SEM using LISREL and topics including: measurement models and structural models; exploratory factor analysis; confirmatory factor analysis (CFA); structural modelling with observed and latent variables; conceptual issues, common misunderstandings and limitations.

Research Project
Under the guidance of their supervising tutor(s), students will pro-actively determine the content of this unit. The initial stages of the Research Project will develop the work of the project proposal and taught phases of the MRes programmes. This will involve the surveying and reviewing of research evidence with the aim of formulating an appropriate research question, and will likely involve some refinement and pilot work. Once achieved, the student will implement a research design and method suited to their area of inquiry. Ethical approval of the study will be obtained before data may be collected, thereby introducing students to this integral part of the research process. Throughout this module students receive excellent research training from leaders in the field. It is expected that the resulting projects will be publishable in international, peer-reviewed journals.

Mono-disciplinary studies and interdisciplinary work, which might involve the student’s ongoing sport/exercise experience, will be encouraged. Each topic will normally involve data collection, analysis and interpretation and allow students to demonstrate their powers of imagination, initiative, independence and time management. Students will be expected to show a thorough knowledge of the relevant sources of information and the ability to use them with discrimination; to provide full references; to exercise sound and independent judgment; to structure work logically and to express themselves with clarity and precision.

Optional Modules:

In addition to the core/compulsory modules students choose a further 20 credits from the following optional modules:

The taught programme is delivered using a variety of teaching methods, including lectures, seminars, workshops, group activities, practical work, tutorials and role play. Each module comprises approximately 200 hours of student time (including formal contact).

Read less
This programme has been designed provide students with the opportunity to develop a critical understanding of the principles and application of research design and analytical methods relevant to the scientific study of the psychology of sport and exercise. Read more
This programme has been designed provide students with the opportunity to develop a critical understanding of the principles and application of research design and analytical methods relevant to the scientific study of the psychology of sport and exercise. The programme facilitates the integration of theory and professional practice, and throughout the programme the research process and emphasis on student autonomy of learning become increasingly important.

Programme Structure and Content
Research skills oriented modules form the bedrock of SHES’ MRes programmes. As a result taught modules are aligned with both discipline specific and the (higher) cognitive skills our MRes programmes aim to provide. Within a modular structure all students undertake compulsory modules in research skills totalling 40 credits:

Research Skills (20 credits)
and 20 credits from the following modules:

How to Conduct Statistics (20 credits);
Presentation of Statistics (10 credits);
Peer Reviewing (10 credits);
Latent Variable Modelling (10 credits);
plus 20 credits from optional modules and a final compulsory Research Project comprising 120 credits.

Research Skills
Research Skills is a double credit taught module. Students study the broad nature of the research process that will allow them to complete, initially, an appropriate Independent Study (in which a research proposal for the Research Project is completed) and subsequently, a full Research Project. The module covers material relevant to the design and analysis of both quantitative and qualitative research. It also provides a broad understanding of the benefits and limitations of various research methods, research designs, data collection instruments and data analysis tools. Students are given the opportunity to develop their ability to be critically evaluative.

Specific content includes: Statistical issues in quantitative research and design; Simple and multiple (forced entry, moderated and mediated) regression analyses; Single factor analysis of variance with and without repeated measures; Two factor analysis of variance with and without repeated measures; Single factor and two factor multivariate analysis of variance (with and without repeated measures); Repeated measures analysis of variance using the multivariate solution; Doubly repeated measures analysis of variance; Analysis of covariance; Follow-up procedures for all of the above; Assumptions underpinning all of the above and available options for dealing with violations to these assumptions; Experiments and causal inference; External and construct validity; Experimental and quasi-experimental designs; Correlational and epidemiological research; Reliability and validity in quantitative and qualitative research; Issues in qualitative research and design; Interviews; Single case design and analysis; Observation; Narrative; Ethnography; grounded theory and discourse analysis.

How to conduct Statistics and Presentation of Statistics modules
The purpose of these two taught modules is to provide students with an in-depth understanding and critical appreciation of statistical procedures. As independent study based modules, they will enable students to gain a comprehensive understanding of a statistical procedure of their choosing (following consultation with the staff member responsible for the module). Towards this end, students will likely cover (i) relevant background issues; (ii) when to use utilise particular statistical tests;(iii) how to conduct statistical testing via appropriate software; (iv) how to correctly interpret computational output; and (v) how to present the findings following analysis.

Students learn about these themes through a “learning by teaching” paradigm via the development of a statistics oriented verbal presentation and written assignment resembling a book chapter/resource. The verbal presentation will be conducted first in order to obtain developmental feedback for the written assignment.

Peer Reviewing Scientific Research
Students work closely with their supervisor to perform an initial review of a previously submitted (and subsequently published) research article. Students will then follow the paper along the peer review process, discussing their review with their supervisor, and then be required to adequately address concerns which have been raised. Collectively this will mean that the student will cover a contemporary research topic in a highly focused and in-depth manner gaining a comprehensive understanding of how to prepare their own manuscripts (eg research proposal, Research Project) and how to evaluate the research of others. Students will also attend the School’s Research Seminar series.

Latent Variable Modelling
This module introduces postgraduate students to the concepts of Structural Equation Modelling (SEM) and to give a basic grounding in their implementation. It also covers an introduction to SEM using LISREL and topics including: measurement models and structural models; exploratory factor analysis; confirmatory factor analysis (CFA); structural modelling with observed and latent variables; conceptual issues, common misunderstandings and limitations.

Research Project
Under the guidance of their supervising tutor(s), students will pro-actively determine the content of this unit. The initial stages of the Research Project will develop the work of the project proposal and taught phases of the MRes programmes. This will involve the surveying and reviewing of research evidence with the aim of formulating an appropriate research question, and will likely involve some refinement and pilot work. Once achieved, the student will implement a research design and method suited to their area of inquiry. Ethical approval of the study will be obtained before data may be collected, thereby introducing students to this integral part of the research process. Throughout this module students receive excellent research training from leaders in the field. It is expected that the resulting projects will be publishable in international, peer-reviewed journals.

Mono-disciplinary studies and interdisciplinary work, which might involve the student’s ongoing sport/exercise experience, will be encouraged. Each topic will normally involve data collection, analysis and interpretation and allow students to demonstrate their powers of imagination, initiative, independence and time management. Students will be expected to show a thorough knowledge of the relevant sources of information and the ability to use them with discrimination; to provide full references; to exercise sound and independent judgment; to structure work logically and to express themselves with clarity and precision.

Optional Modules:

In addition to the core/compulsory modules students choose a further 20 credits from the following optional modules:

Sport Psychology;
Effective Coaching;
Exercise Psychology;
Rehabilitation of the Injured Athlete.
The taught programme is delivered using a variety of teaching methods. Each module comprises approximately 200 hours of student time (including formal contact).

Read less
This programme has been designed to provide students with the opportunity to develop a critical understanding of the principles and application of research design and analytical methods relevant to the scientific study of sport and exercise sciences. Read more
This programme has been designed to provide students with the opportunity to develop a critical understanding of the principles and application of research design and analytical methods relevant to the scientific study of sport and exercise sciences. In contrast to our MRes programmes in Sport and Exercise Physiology and Psychology, this programme gives students the option to study elements of both physiology and psychology. The programme facilitates the integration of theory and professional practice, and throughout the programme the research process and emphasis on student autonomy of learning become increasingly important.

Programme Structure and Content
Research skills oriented modules form the bedrock of SHES’ MRes programmes. As a result taught modules are aligned with both discipline specific and the (higher) cognitive skills our MRes programmes aim to provide. Within a modular structure all students undertake compulsory modules in research skills totalling 40 credits:

Research Skills (20 credits)
and 20 credits from the following modules:

How to Conduct Statistics (20 credits);
Presentation of Statistics (10 credits);
Peer Reviewing (10 credits);
Latent Variable Modelling (10 credits);
plus 20 credits from optional modules and a final compulsory Research Project comprising 120 credits.

Research Skills
Research Skills is a double credit taught module. Students study the broad nature of the research process that will allow them to complete, initially, an appropriate Independent Study (in which a research proposal for the Research Project is completed) and subsequently, a full Research Project. The module covers material relevant to the design and analysis of both quantitative and qualitative research. It also provides a broad understanding of the benefits and limitations of various research methods, research designs, data collection instruments and data analysis tools. Students are given the opportunity to develop their ability to be critically evaluative.

Specific content includes: Statistical issues in quantitative research and design; Simple and multiple (forced entry, moderated and mediated) regression analyses; Single factor analysis of variance with and without repeated measures; Two factor analysis of variance with and without repeated measures; Single factor and two factor multivariate analysis of variance (with and without repeated measures); Repeated measures analysis of variance using the multivariate solution; Doubly repeated measures analysis of variance; Analysis of covariance; Follow-up procedures for all of the above; Assumptions underpinning all of the above and available options for dealing with violations to these assumptions; Experiments and causal inference; External and construct validity; Experimental and quasi-experimental designs; Correlational and epidemiological research; Reliability and validity in quantitative and qualitative research; Issues in qualitative research and design; Interviews; Single case design and analysis; Observation; Narrative; Ethnography; grounded theory and discourse analysis.

How to conduct Statistics and Presentation of Statistics modules
The purpose of these two taught modules is to provide students with an in-depth understanding and critical appreciation of statistical procedures. As independent study based modules, they will enable students to gain a comprehensive understanding of a statistical procedure of their choosing (following consultation with the staff member responsible for the module). Towards this end, students will likely cover (i) relevant background issues; (ii) when to use utilise particular statistical tests;(iii) how to conduct statistical testing via appropriate software; (iv) how to correctly interpret computational output; and (v) how to present the findings following analysis.

Peer Reviewing Scientific Research
Students work closely with their supervisor to perform an initial review of a previously submitted (and subsequently published) research article. Students will then follow the paper along the peer review process, discussing their review with their supervisor, and then be required to adequately address concerns which have been raised. Collectively this will mean that the student will cover a contemporary research topic in a highly focused and in-depth manner gaining a comprehensive understanding of how to prepare their own manuscripts (eg research proposal, Research Project) and how to evaluate the research of others. In order to place their highly specialised knowledge into a more holistic perspective, students will also attend the School’s Research Seminar series.

Latent Variable Modelling
This module introduces postgraduate students to the concepts of Structural Equation Modelling (SEM) and to give a basic grounding in their implementation. It also covers an introduction to SEM using LISREL and topics including: measurement models and structural models; exploratory factor analysis; confirmatory factor analysis (CFA); structural modelling with observed and latent variables; conceptual issues, common misunderstandings and limitations.

Research Project
Under the guidance of their supervising tutor(s), students will pro-actively determine the content of this unit. The initial stages of the Research Project will develop the work of the project proposal and taught phases of the MRes programmes. This will involve the surveying and reviewing of research evidence with the aim of formulating an appropriate research question, and will likely involve some refinement and pilot work. Once achieved, the student will implement a research design and method suited to their area of inquiry. Ethical approval of the study will be obtained before data may be collected, thereby introducing students to this integral part of the research process. Throughout this module students receive excellent research training from leaders in the field. It is expected that the resulting projects will be publishable in international, peer-reviewed journals.

Mono-disciplinary studies and interdisciplinary work, which might involve the student’s ongoing sport/exercise experience, will be encouraged. Each topic will normally involve data collection, analysis and interpretation and allow students to demonstrate their powers of imagination, initiative, independence and time management. Students will be expected to show a thorough knowledge of the relevant sources of information and the ability to use them with discrimination; to provide full references; to exercise sound and independent judgment; to structure work logically and to express themselves with clarity and precision.

Optional Modules
In addition to the core/compulsory modules students choose a further 20 credits from the following optional modules:

Clinical Exercise Physiology;
Sport Psychology;
Effective Coaching;
Exercise Psychology;
Performance Physiology;
Rehabilitation of the Injured Athlete.
The taught programme is delivered using a variety of teaching methods. Each module comprises approximately 200 hours of student time (including formal contact).

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