• New College of the Humanities Featured Masters Courses
  • University of Glasgow Featured Masters Courses
  • Cardiff University Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
  • St Mary’s University, Twickenham Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Coventry University Featured Masters Courses
King’s College London Featured Masters Courses
Cass Business School Featured Masters Courses
Institute for Advanced Architecture of Catalonia Featured Masters Courses
Cranfield University Featured Masters Courses
Northumbria University Featured Masters Courses
"complex" AND "analysis"×
0 miles

Masters Degrees (Complex Analysis)

  • "complex" AND "analysis" ×
  • clear all
Showing 1 to 15 of 1,180
Order by 
Our MSc Complex Systems Modelling programme enables you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems. Read more
Our MSc Complex Systems Modelling programme enables you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems. This field of study is applicable to areas as diverse as biomedical, natural, economic and social sciences. It is suitable for those who wish to work in research and development in an academic or industrial environment.

Key benefits

- Unrivalled location at the centre of London.

- Research-led interdisciplinary programme.

- Modern theory of complex systems modelling.

- Taught by experts in the field.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/complex-systems-modelling-msc.aspx

Course detail

- Description -

Modern societies rely on a wide range of infrastructures, institutions and technologies whose complexity has grown dramatically in the recent past. Consequently there is an ever-growing demand for expertise in complex systems modelling as a prerequisite to understanding, maintaining and further developing such systems.

The MSc in Complex Systems Modelling is a taught programme with a significant research component in the rapidly developing and exciting interdisciplinary field of Complex Systems. It covers scientific areas ranging from biomedical and natural to economic and social sciences, and consists of a wide range of modules including the following core modules:

- Research Methods and Advanced Topics in Complex Systems
- Theory of Complex Networks
- Equilibrium Analysis of Complex Systems

You must also complete a project in a relevant area after passing the written examinations. This can be carried out and supervised in the department or in appropriate academic or industrial institutions outside the College.

- Course purpose -

For graduates in mathematics, or in other suitable scientific disciplines with a strong background in mathematics, who want to work in research and development in an academic or industrial environment. The programme aims to develop a knowledge and understanding of complex systems modelling and their uses, and to enable students to use mathematical techniques to quantify, predict and improve such systems.

- Course format and assessment -

Primarily written examinations, some with coursework element, in eight lecture modules, plus an oral presentation and assessed report on the research project.

Career prospects

Our graduates are highly sought after: the applicability of complex systems modelling to areas as diverse as biomedical, natural, economic and social sciences, results in a broad range of opportunities. Some graduates are employed by the companies or laboratories that supervise their MSc research projects, or continue to PhD study.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

Read less
The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. Read more

Mission and goals

The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. It harmonises a solid scientific background with a command of advanced methodologies and technologies. The programme is characterised by a continuous synergy between Applied Mathematics and Engineering disciplines- The students may choose among three specialisations:
- Computational Science and Engineering
- Applied Statistics
- Quantitative Finance

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Career opportunities

The professional opportunities offered by this course are rather ample and varied: engineering consultancy companies that deal with complex computational problems; manufacturing or civil engineering companies where analyses based on the use of advanced mathematical tools are needed; banks, insurance companies and financial institutions making use of quantitative finance for risk analysis or forecast; companies that require statistical interpretation and the processing of complex data, or the simulation of different scenarios; public and private research institutes and laboratories.

Eligible students

Students holding a Bachelor degree in Mathematical Engineering, or in a related area with a solid background in the core disciplines of the programme, i.e. Applied Mathematics, Computer Science, Applied Physics or other Engineering disciplines are eligible for application. In particular, eligible students' past studies must include courses in different areas of Engineering (among Informatics, Economics & Business Organization, Electrotechnics, Automation, Electronics, Applied Physics, Civil Engineering) for at least 25% of the overall courses, as well as courses in different areas of Mathematics (Mathematical Analysis, Linear Algebra, Geometry, Probability, Statistics, Numerical Analysis, Optimization) for at least 33% of the overall courses.
The following tracks are available:
1. Computational Science and Engineering
2. Applied Statistics
3. Quantitative Finance

Eligible students must clearly specify the track they are applying for in their motivation letter.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Mathematical_Engineering.pdf
The Master of Science in Mathematical Engineering (MSME) aims to form an innovative and flexible professional profile, endowed with a wide spectrum of basic scientific notions and engineering principles, together with a deep knowledge of modern pure and applied mathematical techniques. MSME is characterized by a continuous synergy between Mathematics and Engineering methods, oriented to the modelling, analysis and solution of complex planning, control and management problems, and provides the students with the possibility to face problems from various scientific, financial and/or technological areas. The MSME graduates can find employment in Engineering companies specialized in handling complex computational problems, requiring a multidisciplinary knowledge; in companies manufacturing industrial goods for which design analysis based on the use of advanced mathematical procedures are required; in service societies, banks, insurance companies, finance or consultant agencies for the statistical interpretation and the simulation of complex situations related to the analysis of large number of data (e.g. management and optimization of services, data mining, information retrieval) or for handling financial products and risk management; in public and private institutions. The programme is taught in English.

Subjects

Three main tracks available:
1. Computational Science for Engineering
Real and functional analysis; algorithms and parallel programming; numerical and theoretical analysis for partial differential equations; fluid mechanics; computational fluid dynamics advanced programming techniques for scientific computing;

2. Statistics
Real and functional analysis; algorithms and parallel programming; stochastic dynamical models; applied statistics, model identification and data analysis; Bayesian statistics

3. Mathematical Finance
Real and functional analysis; algorithms and parallel programming; stochastic differential equations; mathematical finance; financial engineering; model identification and data analysis.

In the motivation letter the student must clearly specify the track he/she is applying for.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

Read less
What do Facebook, the financial system, Internet or the brain have in common?. "Everything is connected, all is network". Read more
What do Facebook, the financial system, Internet or the brain have in common?

"Everything is connected, all is network"
From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), finance (financial risk and systemic instability, financial networks, interbank cross-correlations), marketing and IT (social media, data analytics), public health (epidemic spreading models), or biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students with a mathematical background who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

More about our two schools

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research, teaching excellence and unrivalled links with business and the public sector. The School of Mathematical Sciences has a distinguished history on itself. We have been conducting pioneering mathematical research since the 1950s, and as one of the largest mathematical departments in the UK, with over 50 members of staff, the school can offer diverse postgraduate study opportunities across the field, from pure and applied mathematics, to finance and statistics. Along with the MSc in Network Science, our cohort of postgraduate students specialise in Mathematics and Statistics, Mathematical Finance and Financial Computing. We are one of the UK’s leading universities in the most recent national assessment of research quality, we were placed ninth in the UK (REF 2014) amongst multi-faculty universities. This means that the teaching on our postgraduate programmes is directly inspired by the world-leading research of our academics. Our staff includes international leaders in many areas of mathematical research, and the School is a hive of activity, providing a vibrant intellectual space for postgraduate study.

The School of Electronic Engineering and Computer Science is internationally recognised for their pioneering and ground-breaking research in several areas including machine learning and applied network analysis. This expertise uniquely complements the more theoretical knowledge offered by the School of Mathematical Sciences, providing a well balanced mix of theory and applications and offering a deep and robust programme that combines the foundations of the mathematics of networks with the latest cutting edge applications in real world problems.

Additionally, Queen Mary holds a university-level Bronze Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology in higher education and research.

Read less
Cultural processes are creative and dynamic, meaning that our analysis of them must be too. This programme emphasises the critical analysis of cultural processes from an advanced theoretical perspective and with an interdisciplinary outlook- http://www.gold.ac.uk/pg/ma-critical-creative-analysis/. Read more
Cultural processes are creative and dynamic, meaning that our analysis of them must be too. This programme emphasises the critical analysis of cultural processes from an advanced theoretical perspective and with an interdisciplinary outlook- http://www.gold.ac.uk/pg/ma-critical-creative-analysis/

How can cultural analysis engage with the most significant challenges of the contemporary globalised world, with all its inequities and all its possibilities? Can the critical traditions of sociological thought provide adequate responses to today’s world?

The principal disciplinary resources the programme draws on are those of sociology of culture, cultural studies, post-structuralist philosophy, critical literary aethetics and textual analysis. Together they provide atudent swith a critical grasp on contemporary cultutral processes and central issues in the theory and analysis of contemporary culture.

Our most flexible MA, the programme benefits from an expanded choice of option modules.

In addition to the core module and one chosen from within a wide range of Sociology options, you are able to choose two further modules from across a range of participating departments, allowing you to tailor the degree to your individual interests.

The MA attracts students with backgrounds in social science, humanities and philosophy as well as more creative pursuits, and from across the world.

This course covers the following disciplines:

sociology and social sciences
anthropology
art
philosophy
other humanities

Contact the department

If you have specific questions about the degree, contact Monica Sassatelli.

Modules & Structure

The MA enables you to develop critical and analytical interdisciplinary perspectives on contemporary socio-cultural processes. It offers a sense of the breadth of possible approaches, while developing the skills necessary to produce original analyses in a scholarly and inventive manner. You take:

- A core module (30 credits)
- Three option modules (or equivalent; 90 credits in total)
- A dissertation (60 credits)

The core module is taught within the Department of Sociology, and provides an introduction to critical contemporary sociological conceptualisations of culture, presenting opportunities for the development and exploration of interdisciplinary perspectives on the analysis of contemporary cultural processes.

In addition to the core module, you also study three option modules (or equivalent). One of these must be chosen from Sociology; the others may be taken from departments across Goldsmiths including the Departments of Anthropology, English and Comparative Literature, Politics and Media and Communications, Music, Educational Studies, and the Centre for Cultural Studies.

You also write a Dissertation for which you meet for individual supervision with a member of the Sociology staff and participate in Dissertation workshops.

As a full-time student, you would normally complete the core module and one option in the Autumn term, and two further options in the Spring term. As a part-time student you will spread these over two years. Core and option modules are normally taught by one hour lectures, followed by one hour seminars.

Core module

What is Culture?- 30 credits

Option modules

You have 90 credits at your disposal; of these, 30 credits must be taken from within the Department of Sociology. You can choose either one regular option (30 credits) or two 'mini options' (2 x 15 credits) from the department's extensive list.

For your other options, you can choose modules from the following Departments across Goldsmiths. Not all modules are suitable for students from all academic backgrounds; you will discuss your choices with the Programme Convenor at the start of your degree.

-Media and Communications
-Centre for Cultural Studies
-English and Comparative Literature
-Anthropology
-Politics
-Music
-Educational Studies

Dissertation

For your Dissertation you'll meet for individual supervision with a member of the Sociology staff and participate in Dissertation workshops led both by staff and students (based on presentation and discussion of your work in progress). The dissertation is a substantive piece of research, empirical or theoretical, on a topic of your choice.

Assessment

Each module and the Dissertation are individually assessed. The core module and most option modules are assessed by a 5-6,000 word essay (2-3,000 word essays for mini-options). The Dissertation is a 12-15,000 word original piece of scholarship.

Postgraduate Diploma (PgDip) and Postgraduate Certificate (PgCert) awards are also available in this programme. For the award of Postgraduate Diploma, you would need to successfully complete the core module and option modules to the value of 120 CATS; for the Postgraduate Certificate you would need to successfully complete the core module and option modules to the value of 60 CATS. Please note that these are exit awards; if you successfully complete the whole programme you'll be awarded an MA.

You'll develop the following skills during the programme:

- advanced analytical skills
- the ability to evaluate complex theoretical positions and to deploy those within appropriate formats and frameworks

Recent graduate have embarked on professional careers in social research, thinks tanks, the arts and cultural sectors, government and public administration, development, human rights, NGOs, and in media and communications globally. They have also progressed to PhD study.

Funding

Please visit http://www.gold.ac.uk/pg/fees-funding/ for details.

Read less
The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. Read more
The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues.

COURSE OVERVIEW

Students will learn how systems ‘think’ and be able to apply their understanding to systems analysis and design methodology to enable them to plan, manage and design and implement information management projects.

Our graduates leave us prepared to take on a range of jobs in the digital economy, from systems analysis and design, to product development and management consulting. Among other organisations, our alumni join financial services firms, IT companies, consulting firms, software houses, healthcare and the public sector.

HOW WE TEACH YOU

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

EMPLOYABILITY

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Systems Analysis and Design pathway will be equipped to manage and utilize information resources in various business fields including business & management, construction management and healthcare through a thorough understanding of systems analysis and design methodology.

A number of our students join our PhD programmes each year.

Students who pass the module INMR66 – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice.

Read less
What do Facebook, the financial system, Internet or the brain have in common?. All are connected in a network. Read more
What do Facebook, the financial system, Internet or the brain have in common?

All are connected in a network. From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc in Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), public health (epidemic spreading models), marketing and IT (social media, data analytics) to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

Read less
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.

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

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

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.

This programme forms part of the quantitative genetics and genome analysis suite of programmes offering specialist routes, which include Animal Breeding & Genetics and Evolutionary Genetics.

Programme structure

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

Courses are taught via lectures, tutorials, seminars and computer practicals. Assessment is by written examinations, in-course assignments and project work.

Compulsory courses:

  • Population and Quantitative Genetics
  • Genetic Interpretation
  • Linkage and Association in Genome Analysis
  • Genetics of Human Complex Traits
  • Quantitative Genetic Models
  • Statistics and Data Analysis
  • Research Project Proposal
  • Dissertation.

Option courses:

  • Molecular Phylogenetics
  • Bioinformatics
  • Molecular Evolution
  • Quantitative Genetic Models
  • Functional Genomic Technologies
  • Animal Genetic Improvement
  • Evolutionary Quantitative Genetics

Learning outcomes

You will gain the knowledge and skills required to apply quantitative genetics theory to practical problems in the biomedical industry, and to undertake research in quantitative and population genetics and genome analysis.

  • A thorough understanding of general concepts in population and quantitative genetics and genomics
  • In-depth knowledge of complex trait genetics in humans
  • A solid grounding in the statistical methods required for quantitative biology
  • Development of independent research skills through individual mini- and maxi-research projects
  • Development of generic skills (IT skills, experience in writing scientific papers, the ability to work independently)
  • Presentation skills through student seminars, scientific presentation of project work and independent research projects.

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.



Read less
The course has been developed to enable you to develop advanced knowledge and skills in the following areas. i) Business Analytical Methods and Information Technology. Read more
The course has been developed to enable you to develop advanced knowledge and skills in the following areas:
i) Business Analytical Methods and Information Technology
ii) Business Problem Structuring and Solving
iii) Consultancy Skills in the Business Environment

These themes are explored through modules in Business Analytics, Computer Simulation, Creative Problem Solving, Consultancy Skills and Business Statistics. The course also includes a project based module where you will solve a problem for a client using the knowledge and skills acquired during your study. There is then a further applied consultancy project, which allows you to independently research, investigate and analyse a current business problem.

About the course

The course focuses on:
-Computational, mathematical, philosophical and management science approaches to business analysis
-Developing problem solving skills
-Enhancing your ability to use business software and other information technology
-Encouraging independent and creative thinking
-Effective communication in all formats appropriate to a business environment

Why choose this course?

This Master's in Business Analysis and Consultancy aims to provide you with the analytical knowledge and skills required to be a successful consultant in the modern business environment.

Three key reasons to study Business Analysis and Consultancy at the Hertfordshire Business School:
-It is a hands-on, practical programme
-It is client-facing so it counts as work experience
-It is a unique programme, informed by the latest research and consultancy in the area

You will gain experience of applying these skills to real consultancy (working with a local organisation) in the complex context in which organisations operate. You will also experience a range of teaching, learning and assessment methods, which will enable you to gain - and be confident in - the skills of modelling, analysis and consulting. All this should directly improve your employment prospects.

The programme is delivered by the Business Analysis and Statistics (BAS) group at Hertfordshire Business School. The BAS group is very strong in the areas of Business Analytics and Consultancy, and its members have diverse experience and expertise in mathematical, computational and philosophical methods of analysis. The group is home to the Statistical Services and Consultancy Unit which does commercial consultancy carried out by members of the group. The course is informed by the cutting edge research undertaken by members of the group.

Read less
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science. Read more
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science.

Furthermore, we are home to the Centre for Research in Social Simulation (CRESS) and its world-leading expertise in agent-based modelling.

PROGRAMME OVERVIEW

Interest in simulation has grown rapidly in the social sciences. New methods have been developed to tackle this complexity. This programme will integrate traditional and new methods, to model complexity, evolution and the adaptation of social systems.

These new methods are having an increasing influence on policy research through a growing recognition that many social problems are insufficiently served by traditional policy modelling approaches.

The Masters in Social Science and Complexity will equip you to develop expertise in the methods necessary to tackle complex, policy-relevant, real-world social problems through a combination of traditional and computational social science methods, and with a particular focus on policy relevance.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time over two academic years. 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
-Field Methods
-Computational Modelling
-Theory Model Data
-Modelling the Complex World
-Policy Modelling
-Theory and Method
-Statistical Modelling
-Evaluation Research
-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 going on to employment involving the use of social science and policy research
-Provide training that fully integrates social science, policy modelling and computational methodologies to a high standard
-Provide training resulting in students with high quality analytic, methodological, computational and communication skills

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:
-Develop skills in tackling real world policy problems with creativity and sound methodological judgment
-Cover the principles of research design and strategy, including formulating research 
questions or hypotheses and translating these into practicable research designs and models
-Introduce students to the methodological and epistemological issues surrounding research in the social sciences in general and computational modelling in particular
-Develop skills in programming in NetLogo for the implementation of agent-based models for the modelling of social phenomena
-Develop skills in the acquisition and analysis of social science data
-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
-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 ofresearch 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, stakeholders, policy makers, professionals, service users and the general public

Knowledge and understanding
-Show advanced knowledge of qualitative, quantitative and computational methodologies in the social science
-Show advanced knowledge of modelling methodologies, model construction and analysis
-Show critical understanding of methodological and epistemological challenges of social science and computer modelling
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show understanding the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge in data collection, analysis and data driven modelling
-Show advanced knowledge of policy relevant social science research and modelling
-Show advanced understanding of the policy process and the role of social science and modelling therein
-Show advanced knowledge of statistical modelling

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Conceptual development of Social Science and Complexity models to creatively enhance the understanding of social phenomena
-Integration of qualitative, quantitative and computational data
-Judgement of problem-methodology match
-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
-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 traditional and computational techniques employed in sociological research
-Ability to produce well founded, data driven and validated computational models
-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
-Ability to communicate research findings models in social science and policy relevant ways
-Ability to manage independent research

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Apply computational modelling methodology to complex social issues in appropriate ways
-Creativity in approaching complex problems and a the ability of communicating and justifying problem solutions
-Apply computing skills for computational modelling, research instrument design, data analysis, and report writing and presentation
-Work to deadlines and within work schedules
-Work independently or as part of a team
-Demonstrate experience of a work environment

PLACEMENTS

On the MSc Social Science and Complexity, we offer the opportunity to take a research placement during the Easter vacation. This will provide you with first-hand experience of real-life policy research in action.

Organisations in which placements might be possible are a number of consultancies (e.g. Sandtable), government departments (e.g. Defra) and academic research centres (e.g. Centre for Policy Modelling at Manchester).

CAREER OPPORTUNITIES

Computational methods and especially computer-based simulations, are becoming increasingly important in academic social science and policy making.

Graduates might find career opportunities in government departments, consultancies, government departments, consultancies, NGOs and academia.

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.

Read less
Our International Financial Analysis MSc develops an in-depth understanding of financial reporting and management in the context of the international financial environment. Read more
Our International Financial Analysis MSc develops an in-depth understanding of financial reporting and management in the context of the international financial environment.

The global economic crisis, high-profile banking failures and increased regulatory supervision have highlighted the importance of sound financial management and robust reporting. This course has been developed specifically to meet this need.

It provides you with quantitative and qualitative skills of analysis. You will also understand how accounting and finance expertise may be successfully combined to assess corporate performance and valuation.

The course is aimed at management, business or economics graduates, who would like to gain a more specialist knowledge of issues related to financial analysis. It is also suitable for non-business graduates with good numeracy levels who wish to develop financial skills and understanding.

The course also covers many relevant topics for those intending to study for the Chartered Financial Analyst (CFA) exams.

What you'll learn

You will analyse individual companies from an external perspective with substantial emphasis placed on:
-Corporate strategy
-Accounting
-Valuation

You will undertake practical studies of real world data via DataStream and other industry sources, in order to develop skills in the manipulation of financial and statistical software.

Your dissertation consolidates this learning, as it takes the form of an analyst's report on a major corporation. You will prepare a report on a company of your choice, analysing financial and accounting data, strategy and corporate governance. You will conclude with a valuation of the company itself.

Your development

On completion of this course, you will be able to show practical skills and the ability to:
-Deal with complex issues both systematically and analytically
-Use this analysis to make sound judgements around investment management
-Analyse quantitative data used for operational decision making
-Critically engage with contemporary debates on financial theory
-Apply, with originality and creativity, the knowledge, skills and understanding gained on the course to complex issues within the finance sector.

Course accreditation

This course is accredited by the Association of Chartered Certified Accountants (ACCA) and the Association of International Accountants (AIA). It provides you with eight exemptions from the following professional examination papers:
-F1, F2, F3 and F9 from ACCA
-Paper 1, Paper 2 and Paper 11 from AIA

Read less
This innovative course offers both MSc and MA streams. It has been designed to develop your ability to apply economic analysis to policy issues and business problems, which are often ambiguous and multi-faceted. Read more
This innovative course offers both MSc and MA streams. It has been designed to develop your ability to apply economic analysis to policy issues and business problems, which are often ambiguous and multi-faceted. Although there is a strong theoretical core, the course focus of the course is very much on the practical application of economic techniques to problems, and on developing the ability to communicate the insights that economic analysis can provide.

The course has been created in conjunction with the Government Economic Service (GES) – a major employer of economics graduates in the UK. The University of Westminster is the only English university to have secured GES recommended status for a postgraduate course in economics.

The course aims to provide you with an in-depth knowledge and understanding of the latest developments in economics, with a focus on practical skills and development of the skills needed by a working economist. It is specifically aimed at those with a genuine interest in the application of economics to real-world situations.

As well as enhancing your ability to apply relevant economic principles in the support of policy and strategy development, the course aims to develop your ability to communicate complex issues to wide audiences, your awareness of significant sources of economic and financial data, the problems faced when carrying out policy evaluation and your capability for self-awareness and group working.

Course content

You will gain an understanding of the key concepts in economics that underpin public sector policy and business decision making. This includes the various scenarios where we explore opportunity cost, equilibrium and disequilibrium, strategic interaction, market failure and the related concept of externalities.

You'll develop your analytical skills by applying these concepts to current challenges that face the profession, at both macro and micro levels, and in both private and public sectors. This will provide you with the latest insights drawn from both the academic and practitioner arenas.

Around a common core of modules covering key theoretical and practical elements, the MSc stream offers the possibility of pursuing a course of study in economics with a greater quantitative focus, while the MA stream has a stronger international emphasis.

Students on this course benefit from free access to part of the material on the course reading list and an online subscription to Financial Times. In addition, you will get exposure to a global network of professional economists through a free student membership to the Society of Business Economists.

Modules

The following modules are indicative of what you will study on this course. For more details on course structure and modules, and how you will be taught and assessed, see the full course document.

Core modules
-Economic Evaluation Project
-Macroeconomic Analysis and Policy
-Microeconomic Analysis and Policy
-Research Methods
-Strategy and Appraisal in Economics
-Data Analysis
-Economic Policy Perspectives

Option modules
-Innovation Economics
-Labour Economics

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.

Careers

Our dedicated Career Development Centre is actively working with an ever-expanding network of over 3,000 employers to provide you with exceptional employability support and guidance. As a result we were nominated as finalists for a significant industry award – the NUE Awards Most Improved Commitment to Employability 2016.

We provide our students with work placements and international opportunities to support them in becoming highly employable, globally engaged graduates, and with one million businesses operating within 20 miles of the University of Westminster, over 84% of our students are in work or further study six months after graduation. Our graduates work in a variety of sectors and organisations, from small/medium-sized companies and start-ups to large not-for-profit organisations and corporates.

During your time at Westminster you will be able to use our comprehensive online vacancy service and meet with our experienced careers consultants, providing you with thorough training and support on CV writing, application forms, interview preparation and assessment centres.

In addition to this, you will receive careers support from academic staff and faculty work placement teams, offering targeted course-specific careers advice and assistance in securing a work placement during your time at Westminster.

Read less
As data capture becomes more widespread and the need for data analysis skills ever more vital, a shortfall in qualified professionals able to effectively structure, make sense of, and draw useful conclusions from complex sets of data has emerged. Read more
As data capture becomes more widespread and the need for data analysis skills ever more vital, a shortfall in qualified professionals able to effectively structure, make sense of, and draw useful conclusions from complex sets of data has emerged.

This innovative masters course has been specifically designed in close consultation with industry partners (including Teradata, Innovation Partners, BT, SAS and the Pensions Regulator) to produce graduates with the unique combination of skills required to address this industry need.

As a University of Brighton student, you will graduate with a particularly broad – and much in demand – skill set. Your data analysis skills will develop in tandem with your experience of managing data analysis projects end-to-end, proposing sound business cases and strategies for analysis, performing and overseeing analyses, as well as critically appraising and presenting results to others.

Scholarships

Scholarships are available for this course. Please click the link below for more information.
https://www.brighton.ac.uk/studying-here/fees-and-finance/postgraduate/index.aspx

Course structure

The course covers three main areas:

• data management (structuring and manipulating data for analysis purposes)
• data interpretation (statistical analysis using advanced features of industry-standard software such as SAS and R to draw meaningful conclusions)
• project management (the business-specific and strategic aspects of analytics).

Throughout the course, your teaching will be informed by cutting-edge business developments as well as ongoing staff research. Specialisations include risk analysis, medical image analysis and time series.

A range of partners provide industry-based projects to help students gain hands-on experience. Guest lecturers have included expert Tom Khabaza, the author of 9 Laws of Data Mining.

Syllabus

You will study five core modules. One of these involves a major project, with possible industry collaboration, that will provide you with hands-on experience.

As a Data Analytics student, you will also choose option modules allowing you to tailor the degree around your own interests.

Core modules:

Data Management
Programming for Analytics
Data Visualisation and Analysis
Business Analytics Strategy and Practice
Industry project

Options:

Multivariate Analysis and Statistical Modelling
Data Mining and Knowledge Discovery in Data
Stochastic Methods and Forecasting
Risk Analysis and Retail Finance
Medical Statistics

Employability

A wide variety of organisations draw upon data analytics specialists to help produce valuable information for decision-making, for example commodity price forecasting, customer intelligence, clinical trials, R&D, and many other areas utilising large amounts of data.

Graduates are able to choose from a wide variety of private, governmental and academic roles, depending on their personal interests.

Read less
This course focuses on developing a student’s scientific understanding of the human mind, behaviour and experience, and of the complex interactions between these and the domain of sport and exercise. Read more
This course focuses on developing a student’s scientific understanding of the human mind, behaviour and experience, and of the complex interactions between these and the domain of sport and exercise. It has been designed to be flexible and relevant to the student’s individual needs and interests, with a strong emphasis on the application of theory to professional practice. Within the modular structure all students undertake core/compulsory modules in:

Research Skills;
Independent Study (a one to one supervised programme of work leading to the development of the proposal for the Research Project);
Supervised Experience – a module tailored to the needs of the individual and could include directed work with a specified client group or individual;
Research Project relevant to the programme being studied.
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.

Independent Study
The Independent Study should consist of a critical and concise review of the research literature pertaining to a particular research question. A rationale for the proposed research question must be provided, along with a sound methodology for exploring the research question, planned analyses, and expected outcomes. Further, anticipated problems such as resources, equipment, possible ethical issues, informed consent forms, a statement of feasibility of the project and expected costs must be discussed.

Supervised Experience
The content of this module will be largely student specific and include activities (workshops, directed reading, client based work) that will develop the individual’s personal applied support skills. Initially, students complete an individual self-assessment of their current skills/knowledge base and set personal goals to enable them to improve their applied support skills. All students will attend units (workshops) on Ethics in Research and consultancy, communication and counselling skills and how to conduct a needs assessment. Specific physiology and psychology workshops (e.g. Imagery) will also take place.

Students will complete a contract of intended activities agreed with their supervisor in the first four weeks of their programme of study. This contract may, where appropriate, include the intention to apply to British Association of Sport and Exercise Science (BASES) to commence a formally logged Supervised Experience.

A portfolio will then be developed; the portfolio records activities including meetings with supervisor, attendance at workshops, meetings and a plan of work with at least one client, and thought/evaluations of all meetings and workshops (i.e. evidence of reflective practice).

Overview and Format of the Research Project module
The Research Project is an independent piece of research, and acts as the culmination of the academic challenges faced by the student. The module comprises 60 credits (ie equivalent to three double modules) and will formally equate to some 600 hours of student time.

Students work closely with their supervisor to develop the work on their research proposal submitted during the Independent Study module. As External Examiners have noted, throughout this module students receive excellent research training from leaders in the field, with the resulting projects being published in international, peer reviewed journals.

Specifically, this will involve a review 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 the area of enquiry. The supervisor provides excellent expert guidance throughout the process.

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.

External Examiners’ Report (May 2012)

“Overall, students on these programmes (MSc Applied Sport and Exercise Psychology) are producing work of a very good quality. It is clear that the programme develops students’ theoretical and research knowledge base, critical thinking and evaluation skills, understanding of research methods and a range of analytical techniques, and communication and professional skills to a very high level.”

In addition to the above, students undertake an optional module from either Rehabilitation of the Injured Athlete or Effective Coaching. They also study two additional compulsory modules in Sport Psychology and Exercise Psychology.

The 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 (including formal contact).

Read less
The course focuses on developing a student’s scientific understanding of the human mind, behaviour and experience, and of the complex interactions between these and the domain of sport and exercise. Read more
The course focuses on developing a student’s scientific understanding of the human mind, behaviour and experience, and of the complex interactions between these and the domain of sport and exercise. It has been designed to be flexible and relevant to the student’s individual needs and interests, with a strong emphasis on the application of theory to professional practice. Within the modular structure all students undertake core/compulsory modules in:

Research Skills;
Independent Study (a one to one supervised programme of work leading to the development of the proposal for the Research Project);
Supervised Experience – a module tailored to the needs of the individual and could include directed work with a specified client group or individual;
Research Project relevant to the programme being studied.
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.

Independent Study
The Independent Study should consist of a critical and concise review of the research literature pertaining to a particular research question. A rationale for the proposed research question must be provided, along with a sound methodology for exploring the research question, planned analyses, and expected outcomes. Further, anticipated problems such as resources, equipment, possible ethical issues, informed consent forms, a statement of feasibility of the project and expected costs must be discussed.

Supervised Experience
The content of this module will be largely student specific and include activities (workshops, directed reading, client based work) that will develop the individual’s personal applied support skills. Initially, students complete an individual self-assessment of their current skills/knowledge base and set personal goals to enable them to improve their applied support skills. All students will attend units (workshops) on Ethics in Research and consultancy, communication and counselling skills and how to conduct a needs assessment. Specific physiology and psychology workshops (eg Imagery) will also take place.

Students will complete a contract of intended activities agreed with their supervisor in the first four weeks of their programme of study. This contract may, where appropriate, include the intention to apply to British Association of Sport and Exercise Science (BASES) to commence a formally logged Supervised Experience.

A portfolio will then be developed; the portfolio records activities including meetings with supervisor, attendance at workshops, meetings and a plan of work with at least one client, and thought/evaluations of all meetings and workshops (ie evidence of reflective practice).

Overview and Format of the Research Project module
The Research Project is an independent piece of research, and acts as the culmination of the academic challenges faced by the student. The module comprises 60 credits (ie equivalent to three double modules) and will formally equate to some 600 hours of student time.

Students work closely with their supervisor to develop the work on their research proposal submitted during the Independent Study module. As External Examiners have noted, throughout this module students receive excellent research training from leaders in the field, with the resulting projects being published in international, peer reviewed journals.

Specifically, this will involve a review 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 the area of enquiry. The supervisor provides excellent expert guidance throughout the process.

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.

Students also undertake additional compulsory modules in Sport Psychology and Exercise Psychology, and choose one optional module from Rehabilitation of the Injured Athlete or Effective Coaching.

The 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 (including formal contact).

Read less

Show 10 15 30 per page



Cookie Policy    X