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Masters Degrees (Decision Sciences)

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Businesses are increasingly collecting large amounts of information about their customers and activities. This ‘big data’ is big news with the media, businesses and government as they consider how to use this mass of information in a meaningful way. Read more

Businesses are increasingly collecting large amounts of information about their customers and activities. This ‘big data’ is big news with the media, businesses and government as they consider how to use this mass of information in a meaningful way.

Analysts use their expertise to make sense of this information and interpret it, enabling evidence-based business decisions. As a result, they’re in high demand with employers in every sector.

This programme gives you an insight into business analytics and explores how organisations can exploit the big data revolution. You’ll develop decision-oriented, quantitative analytical skills in a management context, and learn to sift intelligence from the growing volume and variety of data collected on many aspects of life.

Combining theoretical concepts with practical application, you’ll develop a unique mix of quantitative and behavioural skills relevant to data analyses, effective decision-making and management.

Academic excellence

You’ll be taught by internationally recognised academics and business practitioners from our Centre for Decision Research, who are actively engaged in the latest research, advising businesses, governments and international bodies. They share this expertise and knowledge with you in the classroom.

With the Leeds Institute for Data Analytics on campus, the University of Leeds has a growing wealth of expertise and resources in data sciences.

Course content

This programme will build your knowledge and understanding of how business analytics can provide evidence to support management decision-making. You’ll learn how to use different evidence-based approaches to make effective decisions, developing your skills in quantitative analysis.

You’ll consider advanced techniques such as forecasting and have the opportunity to apply your decision-making skills to real-life business and management scenarios. With the support of leading researchers in this constantly shifting landscape, you’ll also gain an understanding of research methods.

A range of optional modules allows you to gain specialist knowledge that suits your interests or career plans.

The course culminates in a 12,000 word dissertation or project, enabling you to apply your learning to a topic of your choice. This is an opportunity to explore the very latest insights with the support of an academic who shares your passion and interest.

Course structure

Compulsory modules

You’ll take eight compulsory modules including your dissertation.

  • Effective Decision Making 15 credits
  • Dissertation 45 credits
  • Advanced Management Decision Making 15 credits
  • Business Analytics and Decision Science 15 credits
  • Forecasting and Advanced Business Analytics 15 credits
  • Evidence Based Consultancy 15 credits
  • Research Methods 15 credits
  • Quantitative Analysis 15 credits

Optional modules

You'll also choose another three optional modules.

  • Behavioural Finance 15 credits
  • Risk Perception and Communication 15 credits
  • Managing Global Logistics and Supply Chains 15 credits
  • Operations and Supply Chain Management 15 credits
  • Managing and Designing Value Chain Networks 15 credits
  • Information Tools for Organisations 15 credits
  • Challenges in Information Management 15 credits
  • Designing Information Systems 15 credits

For more information on typical modules, read Business Analytics and Decision Sciences MSc in the course catalogue

Learning and teaching

We use a variety of teaching and learning methods to help you make the most of your studies. These will include lectures, seminars, workshops, online learning, computer classes and tutorials.

Independent study is also vital for this course allowing you to prepare for taught classes and sharpen your own research and critical skills.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports.

Career opportunities

Graduates of the MSc Business Analytics and Decision Sciences can expect to have the quantitative skills to analyse complex business information, and use the resulting intelligence to inform business decisions.

You will be ideally placed to pursue a career in analytics and decision making, general and specialist management roles in a range of industries, or as business or market analysts.

Employers in both private and public sectors are actively seeking graduates with these skills, and trends show that the career opportunities are fast increasing. The role of the data scientist was described as the 'Sexiest Job of the 21st Century' by the Harvard Business Review.

Demand for experts in business analytics is growing rapidly and the University of Leeds is at the forefront of developments in this area.

Read more about Business Analytics at Leeds.

Links with industry

Students have the opportunity to develop leadership skills as part of our Leaders in Residence initiative which gives management students the opportunity to engage with senior figures from the world of business. This is a rare opportunity where successful and established business people will help you connect the theory of your course to real world practice, and offer their advice for career success.

You will be able to connect with leaders from a range of firms including major manufacturers and retailers, charity chief executives, entrepreneurs and directors of companies large and small, through structured meetings and events. This typically includes workshops, social events, guest lectures and professional skills development.

Careers support

We help you to achieve your career ambitions by providing professional development support as part of the course. You benefit from our professional development tutor, who will work with you to develop the important professional skills that employers value.

Read more about our careers and professional development support.

The Careers Centre also provides a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate.



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The Cognitive and Decision Sciences MSc at UCL studies the cognitive processes and representations underlying human thought, knowledge and decision-making. Read more
The Cognitive and Decision Sciences MSc at UCL studies the cognitive processes and representations underlying human thought, knowledge and decision-making. It integrates a wide range of disciplines and methodologies, with the core assumption that human cognition and choice are computational processes, implemented in neural hardware.

Degree information

Key topics include the nature of computational explanation; the general principles of cognition; the scope of rational choice explanation; probabilistic models of the mind; learning and memory; and applications to economics and business. The programme involves training in experimental design and methodology, building computational models and undertaking original research.

Students undertake modules to the value of 180 credits.

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

Core modules
-Introduction to Cognitive Science
-Principles of Cognition
-Research Statistics
-Research Skills and Programming for Cognitive Science
-Judgement and Decision Making
-Knowledge, Learning and Inference

Optional modules
-Applied Decision-making
-Human Learning and Memory
-Cognitive Neuroscience
-Social Cognition: Research Methods
-The Brain in Action
-Neural Computation: Models of Brain Function
-Consumer Behaviour
-Understanding Individuals and Groups
-Social Neuroscience
-Social Cognition, Affect and Motivation
-Current Issues in Attitude Research
-Talent Management
-Business Psychology Seminars
-Interpretation of Forensic Evidence
-Consulting Psychology
-Designing and Analysing fMRI Experiments

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of approximately 10,000–12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, seminars, class presentations, and practical, statistical, computational and experimental class work. Student performance is assessed through online tests, coursework, essays, practical experimental and computational mini-projects, and the dissertation.

Careers

Students have gone on to find employment in the following areas: research, teaching, lecturing, consultancy, finance, and marketing.

For more detailed careers information please visit the department website: http://www.ucl.ac.uk/pals/study/masters/TMSPSYSCDS01

Top career destinations for this degree:
-Managing Director, Temasek International Pte Ltd
-Consumer Behaviour Research Expert, TNS
-Insight Consultant, Kantar World Panel
-Assistant Policy Adviser, Cabinet Office Behavioural Insights Team
-Software Developer, Federal Home Loan Bank of New York

Employability
On completion of the programme, students will have acquired theoretical and empirical knowledge in cognition science and decision-making, and a broad range of practical research skills. They will have made original contributions to this field in their research projects, and will understand how to apply their knowledge to real-world decision problems. They will also have developed various analytical and logical reasoning skills which can be applied to many domains of research and non-academic work. They will, in addition, have an understanding of the philosophical issues underlying cognitive science and neuroscience.

Why study this degree at UCL?

The programme draws on an outstanding faculty, ranging across many disciplines, including internationally renowned researchers in psychology, computational modelling, neuroscience and economics.

London is one of the global hot-spots for research in cognition, decision-making, and neuroscience; and it is an intellectual hub, with a high density of research seminars and scientific meetings that attract leading international researchers.

London is also one of the world's foremost commercial and political centres, with consequent opportunities for high-level applied research; and it is a vibrant, culturally diverse and international city, with world-class music, theatre and galleries.

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The Master of Research in Management is awarded in recognition of the successful completion of an approved programme of training and research. Read more
The Master of Research in Management is awarded in recognition of the successful completion of an approved programme of training and research. Students will pursue a programme of training and research which combines advanced study, research methodology and a substantial research project, or series of research projects.

It is a one year Master's degree which is designed to give students the opportunity to both develop their knowledge of specialist areas of business and management and develop the research skills essential for doctoral research. Many students who complete an MRes go on to apply to study a PhD.

Aims

The programme aims to:
-Provide students with a rigorous training in research methods, including epistemological and theoretical issues as well as quantitative and qualitative methods, appropriate for their doctoral studies
-Give students the flexibility to chose from a range of course options in the area of management research within a structured programme of courses
-Offer a range of qualitative and quantitative methods course units so that students could chose the level and specialism that is appropriate to their background and current research training needs
-Provide systematic and critical knowledge of one specific subject area of management research (such as accounting or marketing) so they appreciate current debates and issues
-Introduce students to different paradigms to management research/studies thus equipping them with the general background to become professional researchers in management
-Produce students who have the knowledge and skills to appreciate the growing importance of interdisciplinary research in management
-Foster students' skills in analysis, argument, independent thinking, and effective oral and written self-expression and presentation skills
-Build transferable employment related skills, so that students can become life-long learners able to apply their knowledge and skills in variety of contexts
-Encourage initiative, independent learning and commitment to scholarship
-Develop core skills IT in computer literacy, numeracy, and use of databases

Special features

The MRes programme is designed to meet the research training needs of students who intend to continue their postgraduate studies and complete a PhD but either do not have any postgraduate experience or have postgraduate degrees that are deemed to provide insufficient research training. We can envisage however that other types of students (students who wish to pursue a career as researchers in B&M consultancies, for example) might be interested in completing the MRes. Apart from providing an orientation to Doctoral research the MRes programme equips students with a range of generic and subject specific research skills and knowledge. It also develops students personal and career development skills and a number of transferable skills.

Teaching and learning

The MRes programme is organised into 13 subject-specific pathways, the choice of which will depend on the Subject Academic Group of the supervisor, the nature of the research topic, and your prior experience. Available pathways are:
-Accounting and Finance
-Corporate Strategy
-Decision Sciences and Operational Research
-Finance
-Healthcare Management
-Human Resource Management
-Information Systems
-International Business and Management
-Marketing
-Operations Management
-Organisational Psychology
-Public Sector Management
-Science, Technology and Innovation

Coursework and assessment

Students are assessed on their selected course units throughout the year. The method of assessment varies depending on the course unit requirements.

Course unit details

The programme provides a robust yet flexible research training across 13 subject-specific pathways, the choice of which will depend on the Subject Academic Group of the supervisor, the nature of the research topic, and your prior experience. Available pathways are:
-Accounting and Finance
-Corporate Strategy
-Decision Sciences and Operational Research
-Finance
-Healthcare Management
-Human Resource Management
-Information Systems
-International Business and Management
-Marketing
-Operations Management
-Organisational Psychology
-Public Sector Management
-Science, Technology and Innovation

All course units - foundation, research methods and subject specific - are delivered by experienced academics and researchers with international reputation in their respective areas of expertise. Students are also expected to conduct research for and write up a Masters dissertation by the end of the programme.

Career opportunities

The MRes programme can be awarded in its own right, but is designed to lead onto future PhD study.

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This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Read more
This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Course content

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

Modules

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

Core modules
-BIG DATA THEORY AND PRACTICE
-BUSINESS ANALYTICS
-DATA MINING AND MACHINE LEARNING
-RESEARCH METHODS AND PROFESSIONAL PRACTICE
-BUSINESS SYSTEMS POSTGRADUATE PROJECT

Option modules
-ADVANCED BIG DATA ANALYTICS
-BUSINESS OPTIMISATION
-DATA VISUALISATION AND DASHBOARDING
-DATA WAREHOUSING AND OLAP
-DATA REPOSITORIES PRINCIPLES AND TOOLS
-SIMULATION MODELLING: RISK, PROCESSES, AND SYSTEMS
-WEB AND SOCIAL MEDIA ANALYTICS

Associated careers

Graduates can expect to find employment as consultants, decision modelling or advanced data analyst, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (such as GlaxoSmithKline, Prudential, Santander and Unilever), public sector organisations (such as the NHS and primarily care trusts), retail head offices, the BBC, the Civil Service and the host of banks, brokers and regulators that makeup the city, along with all the specialist support consultancies in IT and market research and forecasting, all of the whom us data for the full range of decision making.

Professional recognition

This course is accredited by the British Computer society for partial fulfilment of the academic requirement for Chartered IT professional.

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This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Read more
This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Course content

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

Modules

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

Core modules
-BIG DATA THEORY AND PRACTICE
-BUSINESS ANALYTICS
-DATA MINING AND MACHINE LEARNING
-RESEARCH METHODS AND PROFESSIONAL PRACTICE
-BUSINESS SYSTEMS POSTGRADUATE PROJECT

Option modules
-ADVANCED BIG DATA ANALYTICS
-BUSINESS OPTIMISATION
-DATA VISUALISATION AND DASHBOARDING
-DATA WAREHOUSING AND OLAP
-DATA REPOSITORIES PRINCIPLES AND TOOLS
-SIMULATION MODELLING: RISK, PROCESSES, AND SYSTEMS
-WEB AND SOCIAL MEDIA ANALYTICS

Associated careers

Graduates can expect to find employment as consultants, decision modelling or advanced data analyst, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (such as GlaxoSmithKline, Prudential, Santander and Unilever), public sector organisations (such as the NHS and primarily care trusts), retail head offices, the BBC, the Civil Service and the host of banks, brokers and regulators that makeup the city, along with all the specialist support consultancies in IT and market research and forecasting, all of the whom us data for the full range of decision making.

Professional recognition

This course is accredited by the British Computer society for partial fulfilment of the academic requirement for Chartered IT professional.

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This course explores recent developments in theories of behavioural decision-making science. It will enable you to critically examine theories of judgement and decision-making motivated by research in memory, perception, categorisation, reasoning, social psychology, economics, political and management sciences. Read more
This course explores recent developments in theories of behavioural decision-making science. It will enable you to critically examine theories of judgement and decision-making motivated by research in memory, perception, categorisation, reasoning, social psychology, economics, political and management sciences. The career-focused modules are designed to build on your workplace skills and develop new skills.

-This course will enable you to develop the skills to evaluate research findings and to relate these findings to practical applications and solutions. It facilitates and encourages interaction between theory, policy and practice in relation to people's judgements and choices in politics, business, retail, health, leisure and sport.
-You will benefit from regular public lectures organised by the Group for Decision, Thinking and Risk and delivered by internationally recognised researchers in the fields of decision-making, thinking and risk. In addition, you can attend weekly departmental research seminars, where international scholars and staff members present recent research findings.

What will you study?

You will cover recent developments in normative, descriptive and experience-based theories of choice, as well as the impact of experience and expertise on judgements and choice. You will be introduced to applications of judgement and decision-making research in areas such as consumer behaviour, politics, sports, economics and health, providing a firm basis in both the theory and practice of cognitive science and decision-making. You will also explore a selection of current research topics relevant to individual and managerial decision-making, wellbeing and policy-making.

Assessment

Assessment methods include essays, in-class tests, unseen examinations, laboratory reports and a dissertation.

Course structure

Please note that this is an indicative list of modules and is not intended as a definitive list.

Core modules
-Applications of Behavioural Decision Science
-Psychology Dissertation
-Research Design and Analysis
-The Psychology of Thinking, Judgement and Decision-Making
-Applications of Psychological Research
-The Psychology of Health and Well Being

Optional modules to be confirmed.

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The Doctor of Social Sciences (DSocSci) program is Canada’s first applied research doctorate designed exclusively for working professionals. Read more
The Doctor of Social Sciences (DSocSci) program is Canada’s first applied research doctorate designed exclusively for working professionals. It responds to the growing demand nationally and internationally for scholar-practitioners who can provide intellectual leadership in the workplace and help build sustainable organizations, communities, and societies in an age of global interdependence.

An alternative to traditional doctoral programs, the Doctor of Social Sciences focuses on the interdisciplinary applications of the social sciences to complex, real-world problems of direct concern to organizations, communities, and society in general.

The program of study builds candidates’ knowledge of a range of applied social research methodologies and their understanding of their relevance to specific practical social purposes. The DSocSci program is based on the academic and professional expertise of the Faculty of Social and Applied Sciences (FSAS). Doctoral programs of study should normally be consistent with the research areas of emphasis in one or several of the FSAS schools: the School of Communication and Culture, the School of Environment and Sustainability, the School of Leadership Studies, the School of Education and Technology, and the School of Humanitarian Studies.

Who It's For

Career professionals with a master’s degree in one of the social sciences or related disciplines who have a minimum of 10 years work experience in positions of decision-making authority and, those who seek to advance their applied research skills and provide analytical leadership to solve complex real-world problems.

The program design is tailored to career professionals and speaks to recent Canadian research that shows two out of three PhD graduates will work in non-university settings, rather than as university professors.

This degree will be of particular interest to policy analysts, senior administrators, or executives from the public, private, or non-profit sector who work in areas such as natural resource management, health care, global security, professional communication, disaster relief, humanitarian aid, conflict management, values-based leadership, environmental sustainability, or learning and technology.

Delivery Model

The Doctor of Social Sciences (DSocSci) program includes two, three-week residencies. The remainder of the program is completed online. Candidates are not required to take an extended leave from their workplace, but they will need to take time off from work to attend the required residencies as well as ensure that they have sufficient time during the year to work on their courses and dissertation.

All of the courses included in the DSocSci program of study must be taken unless otherwise recommended by a primary faculty supervisor and the Dean of the Faculty of Social and Applied Sciences. All students must complete each of the courses in the program of study prior to undertaking candidacy exams.

Exams first require a written submission that includes a literature review, methodology review and detailed plan for the dissertation research. An oral examination based on the written submission is conducted by the dissertation supervisors and program director. Candidacy exams are assessed as a pass or fail.

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The UCL MSc in Health Economics and Decision Science spans the disciplines of economics, statistics and epidemiology - training students in applied problems, while providing the theoretical foundations expected of an outstanding UCL postgraduate degree. Read more
The UCL MSc in Health Economics and Decision Science spans the disciplines of economics, statistics and epidemiology - training students in applied problems, while providing the theoretical foundations expected of an outstanding UCL postgraduate degree. Strong links to industry and a severe shortage of skills in this area will ensure that graduates of this program are highly employable.

Degree information

Students choose between a decision science or economics stream and complete eight taught modules and a project. Some students will have the opportunity of an industry internship. All graduates will understand how the political, economic and physical context of health systems, frames the application of economics and decision science. Graduates will be able to conduct rigorous cost effectiveness analyses of health technologies and interventions.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).

Core modules - at least four modules (60 credits) must be selected from the following list. The selection of core modules is specific to the student's preferred stream.
-Health Systems in a Global Context
-Health Policy and Reform
-Economic Evaluation
-Introductory Microeconomics
-Medical Statistics
-Econometrics
-Key Principles of Health Economics
-Modelling for Decision Science
-Microeconomics for Health

Optional modules
-Bayesian Methods in Economic Evaluation
-Health Economics
-Social Determinants of Health
-Concepts and Controversies in Global Health
-Climate Change and Health
-The PPE of Health
-Medical Statistics II
-Research Methods and Evidence for Global Health
-Economics of Health and Population
-Urban Health

In addition to the modules listed, student may selected one optional module from any department in UCL.

Dissertation/report
All students undertake an indepedant research project, which culminates in a dissertation of up to 10,000 words (60 credits). Some students may conduct their research project together with industry partners.

Teaching and learning
Teaching will be delivered using a wide range of methods including classroom teaching, peer-led seminars, online lectures and practical exercises, moderated debates, group exercises and reading and writing tasks. Assessment varies from written examinations, to essays, portfolios and oral presentations.

Placement
A number of students will have the opportunity to undertake an industry placement. This will not be assessed as part of the course and access to placements is voluntary and based on open competition.

Careers

There is currently a significant shortage of specialists in health economics and decision science. Graduates of the MSc in Health Economics and Decision Science may go on to work within the pharmaceutical industry, local, national government departments, international organizations, think tanks, consultancy or in academia among other opportunities.

Why study this degree at UCL?

UCL offers a unique, multidisciplinary environment in which to study health economics and decision science. The teaching team comprises economists, statisticians, epidemiologists, mathematicians and public health doctors among others. As a world-leading university, we research, publish and consult in the topics we teach. Our strong links to industry, policy and academia enhance the relevance of our teaching and the employment opportunities of our graduates.

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The two-year Master's programme is meant for students with a scientific fascination for sport. You will study athletic behaviour from multiple perspectives, using theories about cognition, psychology and physiology. Read more
The two-year Master's programme is meant for students with a scientific fascination for sport. You will study athletic behaviour from multiple perspectives, using theories about cognition, psychology and physiology.

As a student of this programme, you will acquire an advanced understanding of issues in the field of sport sciences, both applied and fundamental. You will practice in measuring and analyzing sports performance and gain familiarity with research methods and advanced statistics. Also, you will learn to develop optimal programmes to teach and train sport-related abilities and skills.

The programme is concentrated around four research areas. The first centres on physical activity, sports and cognition in children. The second deals with talent identification and development. Perception, action and decision making in sports is the third area. And in the fourth, you learn about performance analysis and optimization in sports.

It is possible to do a crossover between the Master's programmes in Sport Sciences and Human Movement Sciences.

Why in Groningen?

- Unique MSc Sport Sciences programme in the Netherlands
- Comprehensive 2-year program with a multidisciplinary approach to studying sport
- Strong link between fundamental and applied research in sports settings
- Possibility to apply for a Master-PhD position in Sport Sciences

Job perspectives

After graduation, you can continue your academic career in a PhD trajectory. You can also work as a scientist for a professional sport team or as a scientific advisor at sport associations such as the Olympic federation. In addition, you can develop training and exercise programmes for ergonomic, orthopaedic or educational institutions or develop sport, health and welfare policies for government agencies. With a teacher's certificate you can work as a lecturer in education.

Job examples

- Advisor
Scientific advisor at sport associations or Olympic federation

- Developer
Develop training and exercise programs for ergonomic, orthopaedic, or educational institutions

- Embedded scientist
Embedded scientist for a professional sport team/club

- Researcher
Teacher/lecturer
Teacher/Lecturer of sport and exercise courses in Higher Education

- Policy Officer
Government employee dealing with sport, health, and welfare policies

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Our multidisciplinary Medical Imaging Sciences MRes offers you the opportunity to undertake research in an exciting and rapidly evolving field. Read more

Our multidisciplinary Medical Imaging Sciences MRes offers you the opportunity to undertake research in an exciting and rapidly evolving field. Medical imaging is growing in importance both in patient management and clinical decision making, and also in drug development and evaluation. You will work with a multidisciplinary team of academics directing a wide range of cutting-edge research projects, with an emphasis on putting ideas and theory into practice, literally “from bench to bedside”. 

Key benefits

  • You will have access to state-of-the-art preclinical and clinical imaging facilities.
  • Two research projects within the Imaging Sciences Wellcome/EPSRC Medical Engineering Centre or CRUK/EPSRC Comprehensive Cancer Imaging Centre.
  • Excellent research facilities based within a hospital environment where you will be encouraged to apply your clinical skills.
  • All learning materials are accessible online via King’s E-learning and Teaching Service (KEATS).
  • On successful completion of the MRes, students with a chemistry or pharmacy background can apply for membership with the Royal Society of Chemistry.
  • Clinically applied modules
  • May consitute first of a four-year PhD.

Description

Our Medical Imaging Sciences course aims to provide graduates of chemistry, physics, computing, mathematics, biology, pharmacy or medicine with advanced training in the imaging field.

We have designed this course mainly to prepare you for a PhD, but it also serves as training for employment in hospitals and industry. The key components are two research projects, which may be built around different aspects of a single research area in medical imaging. Medical imaging is a rapidly expanding field that needs input from team members with knowledge and skills in these different areas (chemistry, physics, computing, mathematics, biology, pharmacy, medicine) to achieve its promise in improving patient care.

Our course consists of required and optional taught modules in semesters one and two, and two medical imaging-related research projects in semester two. You will begin with a 30-credit introductory module, which will introduce you to the general area of medical imaging in all its forms and give you a firm grounding in the core elements of the course and preparation for the later research projects. Following this, you will be able to choose optional modules from a range of multidisciplinary modules from other masters’ programmes offered by the School of Biomedical Engineering and Imaging Sciences..

Throughout the course you will be provided with Research Skills training including a dedicated 15-credit module covering the topic in semester two.

Cardiovascular Stream

We also offer a selection of Cardiovascular Imaging modules, including Cardiovascular Imaging 1: SCMR and Cardiovascular Imaging 4: Introduction to Cardiovascular Physiology. We welcome applications from those with a background in Cardiovascular Imaging, and also from physicians, surgeons, technicians, cardiac physiologists and radiographers.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

In full-time mode, attendance at lectures, tutorials, laboratory practicals, completing coursework assignments and private study is expected to fill a standard 40 hour week during the semester. The research project requires full time work at least during the months of June, July and August.

Typically, one credit equates to 10 hours of work

Assessment

The programme is assessed by a variety of mechanisms including: unseen written examinations; practical laboratory work and reports; case studies and oral presentations; workshops; audio-visual presentations; and laboratory- or library-based research projects.

The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they may change if the course modules change. 

Career prospects

Expected destinations are study for PhD, employment (research or service) in the NHS and commercial nuclear medicine services, the pharmaceutical or medical engineering industry.



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The programme comprises of taught modules on research methodologies and skills development in key areas such as scientific writing, critical appraisal and grant proposal preparation, as well as a substantial research project, undertaken under the supervision of an academic member of staff from from the School of Optometry and Vision Sciences. Read more
The programme comprises of taught modules on research methodologies and skills development in key areas such as scientific writing, critical appraisal and grant proposal preparation, as well as a substantial research project, undertaken under the supervision of an academic member of staff from from the School of Optometry and Vision Sciences.

The MRes in Vision Sciences is suitable for those wishing to gain research skills before embarking on a PhD, those who require a research qualification but not necessarily a PhD, or those who want to experience research before deciding on whether or not to undertake a PhD.

Graduates from the MRes in Vision Sciences will develop the ability to:

Critically evaluate their own and previously published research in a range of sub-disciplines within vision research, as well as their own research
Demonstrate advanced knowledge and understanding in a chosen specialist area
Understand the need for evidence-based research in clinical vision research
Search for appropriate evidence within the subject area to support professional development
Exhibit an understanding of: experimental design, the importance of quality data and of appropriate statistical analysis
Design and conduct a research study
Appreciate the role of lifelong learning.

You will also develop a range of academic skills, including:

Search for appropriate information to support learning
Critically evaluate such information
Experimental design
Data collection and analysis.
Scientific writing

In addition to a range of subject specific skills, such as:

Clinical decision making
Higher levels of professional skill and knowledge
Working in peer groups

Graduates of the MRes in Vision Sciences will also develop various transferable and employability skills, including:

Independent learning skills
Time management
Project management
Problem solving

Distinctive features

Research programme with taught elements
Taught modules on research skills
Flexible working hours.

We offer two start dates: March and October.

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Governments, insurers, health care organisations and the pharmaceutical industry need to analyse the costs and benefits of health-related strategies. Read more

About the course

Governments, insurers, health care organisations and the pharmaceutical industry need to analyse the costs and benefits of health-related strategies. Currently there is an international shortage of qualified specialists in this area. This course is ideal preparation for a career as a professional health economist or modeller.

Your career

We can help you develop the skills and knowledge you need to understand and improve health services: analytical skills, critical thinking and in-depth knowledge of your discipline. We offer postgraduate courses for health and social care professionals, managers and anyone planning a career in health services research.

Our graduates work in public health, the private sector, health services management, and health and social care, all over the world. They also go on to further public health training or academic research.

An international academic community

As one of the largest multi-disciplinary schools of public health and health services research in the UK, ScHARR is a rich academic community. You will be taught by world-leading experts in health economics, public health sciences, the sociology of health, health psychology, decision analysis, management sciences, epidemiology, medical statistics and information science. They include members of The Academy of Medical Sciences, the Royal Pharmaceutical Society and the Royal Society of Public Health. The 2014 Research Excellence Framework (REF) rates us fourth in the UK for research power.

Our staff and students come from all over the world and offer international perspectives to all our courses.

Flexible study routes

We offer both traditional campus-based and online courses. Our high quality online courses are taught by the same expert academic staff who teach our courses in Sheffield and offer an alternative to coming to the UK. Guided by our staff, you can study at a pace that suits your personal circumstances. This can be an effective route for those who need to continue to work while they study. Postgraduate certificates and diplomas are also available.
You can also study individual modules as Continuing Professional Development (CPD). See the ScHARR web pages for details of available modules. For LBR and CPD information, visit: http://www.sheffield.ac.uk/hsccpd

Facilities

You’ll have 24/7 access to library and computing facilities. We provide specialist information and library services in our information resources section.

Course content

Cost-effectiveness Modelling for Health Technology Assessment; Introduction to Health Economics; Economic Evaluation; Health Research Methods; Medical Statistics and Evidence Synthesis; Operational Research Techniques in Health Resource Allocation; Advanced Simulation Methods; Valuing the Benefits of Health Care; Dissertation.

Teaching and assessment

You’ll be taught through lectures, seminars, tutorials and independent study. Assessment is by coursework, examinations and a dissertation.

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Summary. This course of study will equip you with the applied skills and knowledge required for high-level leadership and strategic healthcare roles anywhere in the world. Read more

Summary

This course of study will equip you with the applied skills and knowledge required for high-level leadership and strategic healthcare roles anywhere in the world. The programme comprises both a modular taught component and a major piece of clinically focused research leading to submission of a thesis and viva.

Modules

Designing, Implementing & Communicating Research; Diagnostic Assessment and Decision Making; Governance in Action; Decision Making (The Essence of Decision Making); Leading Innovative Services for Quality Improvement - Health Outcomes/Experience; People, Politics, Practice: Contextualising Health Care Research; Research Thesis.

Visit our website for further information.



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We have designed an innovative MSc Trauma Sciences in partnership with the University Hospital Southampton NHS Foundation Trust. Read more
We have designed an innovative MSc Trauma Sciences in partnership with the University Hospital Southampton NHS Foundation Trust. This programme has been developed by a multi-disciplinary team of expert clinicians and academics to improve patient outcomes across the life span, from initial trauma injury through rehabilitation to health restoration, and further prevention. This programme of education will enable you to acquire in-depth knowledge and understanding of a patient journey following trauma and to develop independent, critical thinking skills. We will help you develop your professional expertise in managing trauma; equipping you to return to your clinical environment to contribute more effectively as part of a major trauma team and to apply contemporary research in the area of trauma sciences.

Semester One

Compulsory modules: Fundamental Science in Major Trauma; Research Methods for Evidence Based Practice; Major Trauma Systems: Evidence Base and Delivery; Major Trauma Practicum.

Semester Two

Compulsory modules: Human Factors and Decision Making in Major Trauma Care; Major Trauma in the Older Person; Paediatric Trauma; Dissertation.

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Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future. Read more
Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future. This course gives you the cutting edge analytical approaches, methodologies and tools you need to confidently tackle problems and improve outcomes.

It allows you to specialize in a diverse range of areas including:
-Consulting skills
-Big data and web analytics
-Information systems concepts and tools
-Decision behaviour and psychology of decision making
-Financial modelling
-Operations management and process change and improvement approaches
-Project management
-Supply chain management, logistics and procurement
-Traditional operational research and applied mathematics and statistics

The aim of the course is to give students a solid quantitative foundation alongside practical problem-solving techniques. Much of your learning involves real-life scenarios using case studies, individual and team consulting-based assignments, presentations and software tools. Much of the coursework takes the form of consulting-style cases, some done in small teams and including presentations.

The core of the course is formed by four analytics units covering fundamental toolkit areas of decision sciences, applied operational research and statistics. The approach is to consider application of these analytical methodologies and toolkits to common problem areas across business and management. You then chose four other units from a broad range of options, according to your interests, background and intended career directions.

Aims

The course is intended to provide management, engineering, science, mathematics, economics or similar graduates who have a solid quantitative foundation with deeper analytical skills and an understanding of how these are applied to business and management problems.

Special features

We run a core module on Data Analytics which will introduce students to SAS Enterprise. A coursework prize for this project will be sponsored by SAS.

Recent highlights included a case study run by British Airways,a presentation from SAS on the Future of Analytics and ongoing dissertation projects with Unilever and LBM.

Coursework and assessment

Assessment varies depending on course units taken. It may include a combination of course work, group project assessment and presentations, report, assignments, in-class tests and examination. The dissertation normally ranges between 12,000 and 25,000 words.

Career opportunities

There are many potential career roles for postgraduates with an understanding of analytical approaches in business and management - including job titles such as operational research analyst, systems analyst, risk analyst, financial analyst, performance analyst, business analyst, marketing analyst, business modeller, and operations, logistics, production, project, risk, quality, performance, or general manager. Employers include general and specialist consultancies, the finance, retail and manufacturing sectors, government analytics units, defence and major `solution providers' in IT systems, outsourcing and telecoms.

In many of these areas an MSc is generally accepted as highly desirable for developing an initial career in the field. In addition to preparing you for specialist professional work, the course is also a valuable preparation for further study and for research degrees.

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