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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.

About this degree

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
  • Neuroscience of emotion and decision-making
  • Evolution and Social Behaviour

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.

Further information on modules and degree structure is available on the department website: Cognitive and Decision Sciences MSc

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.

Recent career destinations for this degree

  • Change Management Consultant, HCL AXON
  • Project Research Officer, Government Office for Science
  • Research Assistant, Imperial College London / University of Oxford
  • PhD in Financial Computing
  • Assistant Policy Adviser, Cabinet Office Behavioural Insights Team

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.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

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

London is one of the global hotspots 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.

Research Excellence Framework (REF)

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

The following REF score was awarded to the department: Division of Psychology & Language Sciences

83% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

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



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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.

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.

Course structure

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

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

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

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



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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.

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.

Course structure

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

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

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

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



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Who is it for?. This postgraduate Project Management, Finance and Risk programme is for those pursuing or planning a career in managing the introduction of capital goods or applying the latest project management techniques to complex projects. Read more

Who is it for?

This postgraduate Project Management, Finance and Risk programme is for those pursuing or planning a career in managing the introduction of capital goods or applying the latest project management techniques to complex projects. It is particularly suited to students with a scientific or financial engineering background as we cover quantitative risk assessment in depth, which requires an aptitude for measuring and analysing data.

Objectives

Consider the risks contained within a project such as the Euro Tunnel. Two governments sponsoring the project and nine billion pounds of finance ring-fenced through a special purpose company to complete it. Will it be finished on time and will it secure the revenues to service the debt? These are the kinds of questions we address on this programme.

MSc Project Management, Finance and Risk gives you a foundation in quantitative risk assessment and decision-making under uncertain conditions, coupled with classical engineering economics and financial engineering.

From analysing indecision within games theory to rebuilding a country’s infrastructure, we explore the drivers in which businesses operate, and the challenges and opportunities that project managers face. Teaching is provided  by internal and external lecturers with expertise in the field. This is complemented by invited lectures from the Sir John Cass Business School, together with people from industry and the banking sector who bring in diverse skill sets and the ability to solve complex problems.

Placements

There is no formal requirement to do an industry-based placement as part of the programme. However, some students arrange to undertake their final project within a company.

Teaching and learning

As well as lectures, you learn through tutorial support, guided private study, coordinating group activities, and coursework. Not every module has an exam and in some cases you will be assessed through a module project.

Full-time students complete the programme in one year and we expect you to devote a significant part of the non-taught hours to project work, group activities, as well as your own independent study. The duration of a part-time programme is two years (this may be extended to three years in individual cases.

Modules

There are four core modules and two electives. Out of the two electives you can choose from four or five topics including games theory, perspectives on management and leadership and entrepreneurship, innovations and enterprise.

You can also take part in a rolling programme of one-day events to build your communication and team-building skills while you study. These sessions cover topics including conducting research, improving your presentation skills and dealing with people.

The course is modular and each module lasts four days. The structure has been designed in this way so that both full and part-time students can follow the programme. In addition, the course offers practical skills in management, leadership, entrepreneurship, software and communications tools.

You are normally required to complete all the taught modules successfully before progressing to the dissertation.

A Prince 2 Project Management Practitioner’s Course will be offered to students in the summer term. This five-day course, paid for by the institution, is presented by an outside training agency. By successfully completing the course you will be awarded a coveted practitioner’s certificate.

Core modules

  • Managing Risk and Uncertainty (20 credits)
  • Optimisation and Decision Making (20 credits)
  • The Project Lifecycle 20 credits)
  • Financial Engineering and Project Planning (20 credits)
  • Workshops and Seminars (zero credits)
  • Introductory mathematics (zero credits)
  • Dissertation (60 credits)

Elective modules include

You will choose two elective modules.

  • Presenting Data (20 credits)
  • Perspectives on Management and Leadership (20 credits)
  • Supply Chain Management (20 credits)
  • Entrepreneurship, Innovations and Enterprise (20 credits)
  • Decision Sciences 1 - Complex Systems and Networks (20 credits)
  • Decision Sciences 2: Game Theory (20 credits)

Career prospects

Graduates completing the course will be prepared for a wide range of careers involving project management, risk management and financial planning. From banking to management and from engineering consultancies to the pharmaceuticals industry, this programme gives you diverse options when it comes to developing your career and being part of key decision-making processes.

If you want to work in infrastructure management and development, which involves management of supply chain and/or financial risks, the programme will be particularly relevant. Additionally, the course is ideal if you are planning a career in any of the following areas:

  • Capital goods
  • Management consultancy
  • Risk analysis in the pharmaceutical industry
  • Project management in the construction Industry
  • Investment banking
  • Banking analysis
  • Financial risk analysis
  • Real estate management
  • Marketing management
  • Aircraft engineering
  • Entrepreneurship

Students are supported by the Careers, Student Development & Outreach team who offer a professional, high quality careers and information service.



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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. 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. 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; and
  • 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 content for year 1

Candidates for the MRes must complete the following:

Compulsory course units:

  • Research Process
  • 2x Research Methods modules (one qualitative and one quantitative) related to your research discipline. These modules exist in the AMBS MSc programmes.

Research Methods Electives:

Candidates must take 3 modules from the Research Methods Electives below -

  • BMAN80181 Advanced Survey Design
  • BMAN80411 Critical Thinking for Scientific Research
  • BMAN80020 Case Study Research: Method and Methodology
  • BMAN80062 Comparative Cast Study Analysis
  • BMAN80352 Mixed Methods Approaches in Management and Organization Studies
  • BMAN80502 Structural Equation Modelling
  • BMAN80802 Longitudinal Data Analysis
  • BMAN80602 Meta Analysis
  • BMAN80702 Multilevel Modelling in Mplus
  • BMAN80542 Introduction to Qualitative Data Analysis with NVivo

In consultation with the supervisor and subject to agreement with the module convenor and approval by MRes/RTP Director, instead of 3 5-credits modules, candidates can choose

  • (a) a 15-credits Research Methods module from (1), or
  • (b) a 15-credit Subject Specific Electives from (3).

Subject-Specific Electives:

Candidates choose two modules from MSc programmes offered in AMBS/Faculty.

  • Dissertation (25,000 - 30,000 words)
  • Skills Training and Personal Development Planning

Candidates are also required to undertake 10 days training in academic, research, transferable or IT skills. This training is usually provided by Faculty of Humanities and is not assessed.

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 international programme is offered by three of Europe's most prestigious centres of research and teaching in cognitive studies and neuroscience. Read more

This international programme is offered by three of Europe's most prestigious centres of research and teaching in cognitive studies and neuroscience: UCL, Université Pierre et Marie Curie, and Ecole Normale Supérieure. Students design an individualised programme of study, exploring multidisciplinary perspectives.

About this degree

Students develop an understanding of the cognitive sciences and neurosciences, and how mechanisms operating at the molecular, cell, network and system level affect normal brain function. They gain a working knowledge of modern methods for scientific and clinical investigation of the human nervous system, along with exposure to leading-edge research.

Students undertake modules to the value of 180 credits in the first year of the programme at UCL.

The programme consists of up to six taught modules (at 15- or 30-credit weighting to a total value of 90 credits) a library project (30 credits) and a research project (60 credits).

Core modules

  • Library Project (30 credits)
  • Research Project (60 credits)

Optional modules

Students choose up to six modules from the following degrees:

  • Clinical Neuroscience MSc
  • Neuroscience MSc
  • Language Sciences (with specialisation in Neuroscience and Communication) MSc
  • Language Sciences (with specialisation in Linguistics with Neuroscience) MSc
  • Philosophy MA
  • Neuromuscular Diseases MSc
  • Cognitive and Decision Sciences MSc
  • Cognitive Neuroscience MSc
  • Stroke Medicine MSc
  • Advanced Neuroimaging MSc
  • Dementia: Causes, Treatments and Research (Neuroscience) MSc
  • Translational Neurology MRes

Dissertation/report

All students undertake a library project which is assessed by a 5,000-word essay, and a laboratory research project which culminates in a 10,000-word dissertation and oral examination.

Teaching and learning

The programme is delivered through a combination of lectures, seminars and practical workshops. Lectures are supported by audio-visual aids and supplementary materials, including hand-outs, reading lists and references to original papers and/or reviews. Assessment is through coursework, examination, library project, research dissertation and oral examination.

Further information on modules and degree structure is available on the department website: Brain and Mind Sciences MSc

Careers

Students will graduate with a Master's from UCL, and an international university diploma (Master's level) from UPMC/ENS. Upon successful completion of the two-year joint MSc programme, students will be able to embark upon a successful career in their chosen field of research into the expression of human behaviour and its biological substrate.

Recent career destinations for this degree

  • Research Assistant, UCL

Employability

Students will design their own curriculum in both London and Paris, tailoring their studies to their own area of interest. The individualised nature of the programme attracts intellectually mature students who are confident enough to define their own research path. The opportunity to undertake original research in two centres of excellence makes the successful student more attractive to potential PhD supervisors, as evidenced by the fact that 90% of graduating students go on to full-time doctoral studies.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

Students on this programme benefit not only from the high-quality teaching and training available through the UCL Institute of Neurology, but also through our partners in Paris.

The programme is two years in length, with the first year spent in London and the second in Paris. Students will undertake two distinct research projects.

Research Excellence Framework (REF)

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

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

83% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

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



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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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Behavioural Analysis has become a major feature of the work of governments and other organisations in recent years, and has an increasingly high profile… Read more

Behavioural Analysis has become a major feature of the work of governments and other organisations in recent years, and has an increasingly high profile as its  importance receives wider recognition. Whilst Behavioural Analysis is often thought of as an area of Economic Psychology, it is in fact a mixture of Economics, Psychology, Management and Social Sciences, and with its relevance for the analysis of public policy, political opinions, and spending patterns, it is becoming an increasingly important element of modern organisations and their operations. Behavioural analysis is increasingly popular with financial institutions, marketing, government departments and regional development agencies, such as city regions, and those charged with economic development including international institutions operating in developing countries.

The MSc Behavioural and Economic Science programme provides specific training for specialist roles in behavioural analysis and policy design for applications within the commercial and government sectors. The degree is designed for those with a background in behavioural analysis or decision analysis from Economics, Management, Psychology, Behavioural Science or Decision Sciences (although applicants from other disciplines will be considered based on experience and specific qualifications). It also provides an ideal preparation for those interested in research into modern government, politics, or public policy, and provides the necessary basis for continuation onto research degrees.

Specific public sector employers include the Government Economics Service, Bank of England, Financial Conduct Authority and Behavioural Insights Team (BIT) amongst others. Private sector employers include Google, Facebook, JP Morgan, Chase, Morningstar and Vanguard. The area is still growing with the UK government recently introducing capacity for Behavioural Policy advice to be provided to smaller public bodies such as councils. Even small to medium sized enterprises are increasingly using large datasets and performing behavioural analysis to develop their businesses.

Features and Benefits

The course provides an opportunity to study with staff with significant experience in training and consultancy in applied Behavioural Analysis. The Department does considerable consulting work with a range of private sector clients, and has been one of the principle sites for training work in the area of behavioural policy and analysis for UK government departments on the area of behavioural analysis. 

The course covers the theory and methods applied in behavioural analysis, focussing on the development of technical skills and core knowledge of behavioural biases and behavioural policy design. It involves external experts from organisations such as BIT and HMRC in the design or delivery of some of the modules on the programme in order to ensure the relevance of content to current users of behavioural analysis. Students are able to incorporate internships or placements into their studies (subject to any visa restrictions that may apply) and the Business School’s placement unit is able to advise on how students’ applications.



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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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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 demand for skills in this area mean that graduates of this programme will be highly employable.

About this degree

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.

Students undertake modules to the value of 180 credits compromising eight taught modules worth 15 credits each and a substantive piece of student-led research that will carry 60 credits. Students must undertake either four or five core modules. The combination and number of modules studied will depend on your chosen stream and whether your background is in statistics or economics.

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 I
  • 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 select one optional module from any department in UCL. 

Dissertation/report

All students undertake an indepedent 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 programme and access to placements is voluntary and based on open competition.

Careers

Graduates of this MSc may go on to work within the pharmaceutical industry, local or national government departments, international organisations, think tanks, consultancies or in academia among other opportunities. Programme organisers liaise with a range of potential employers to create internship opportunities where students can experience the working environment in their field and develop important professional networks.

Employability

As the global population grows and ages, so too does the challenge of providing equitable access to cost-effective healthcare. This MSc has been developed to fill a gap in training and skills in higher education, to embrace the multidisciplinary nature of health economics and decision science and provide students with a solid theoretical foundation - while allowing them to choose specific pathways within which they can focus on either more advanced modelling or advanced applied economics.

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 on 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.

Research Excellence Framework (REF)

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

The following REF score was awarded to the department: Institute for Global Health

81% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

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



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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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About the course. In the current economic climate with healthcare systems facing resource constraints, 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

In the current economic climate with healthcare systems facing resource constraints, governments, insurers, health care organisations and the pharmaceutical industry need to analyse the costs and benefits of health-related strategies.

This course is ideal preparation for a career as a professional health economist or modeller.

As a graduate, you'll be capable of working immediately in health economics and outcomes research consultancies; university-based health technology assessment centres; pharmaceutical and medical companies; healthcare and government organisations; or progressing in an academic career to PhD and further research.Your career

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 access to library and computing facilities. We provide specialist information and library services in our information resources section.

Course content

  • ntroduction to Health Economics
  • Economic Evaluation
  • Cost-effectiveness Modelling for Health Technology Assessment
  • Medical Statistics and Evidence Synthesis
  • Study Design and Systematic Review Methods
  • Valuing the Benefits of Health Care
  • Further Statistical Methods for Health Economic Analysis
  • Advanced Simulation Methods

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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There is a shortage of academics and those within Industry with in vivo research skills, and so this MRes will provide training that will considerably improve your future career options, particularly within Industry. Read more

There is a shortage of academics and those within Industry with in vivo research skills, and so this MRes will provide training that will considerably improve your future career options, particularly within Industry. Glasgow is one of only four centres of excellence in these skills and is the only place you can undertake such an MRes in the UK.

Why this programme

  • Ranked amongst the world top 100 for biological sciences.
  • The University of Glasgow is the only university you can undertake such an MRes in the UK.
  • This MRes Biomedical Science provides training in a wide range of modern molecular biology techniques required to pursue a research career.
  • You will gain valuable practical research experience by using the skills and techniques acquired during the programme to complete an extended in vivo research project spanning 7 months.
  • If you are aiming to study for a higher biomedical science degree, this programme is designed for you.
  • If you want to enter the pharmaceutical and biotechnology industries, this programme provides excellent in vivo training which is a highly sought after skill in this area.

Programme structure The overall aims of the programme are:

  • to provide students with the knowledge, skills and confidence needed to pursue a career in laboratory research.
  • to provide students with a theoretical and practical understanding of advanced techniques used in modern biomedical sciences research.
  • to provide students with the opportunity to practice research skills in the laboratory by completing an extensive in vivo research project.

Students undertake taught material covering endocrinology, higher skills in biological sciences and molecular genetics of disease. The remainder of the course focuses on the research project which is chosen from a pool of submitted projects offered by research groups spanning cancer, immunology, neuroscience and cardiovascular diseases. 

Career prospects

Many of our graduates go on to further postgraduate research at PhD level having gained invaluable in vivo research experience or continue to jobs within the health sector, biomedical sales or the pharmaceutical/biotechnology industry.



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Why choose this course?. Develop your potential and profile as a successful researcher on this innovative masters course. It enables you to undertake original research and push the boundaries of knowledge in your specialist area of choice. Read more

Why choose this course?

Develop your potential and profile as a successful researcher on this innovative masters course. It enables you to undertake original research and push the boundaries of knowledge in your specialist area of choice.

  • Focus on a subject pathway which matches your interests and ambitions: you can graduate with an MRes in Social Research, Criminal Psychology, Humanities or Journalism
  • Learn in an inter-disciplinary and research-active environment
  • Build advanced research skills through a series of inspirational masterclasses
  • Conduct your own substantial piece of independent research, with support and supervision from influential academic researchers
  • Join our dynamic and supportive postgraduate community and work with influential researchers on collaborative projects
  • Focus on ‘real-world’ research: if you are already in employment, you can relate your studies directly to your professional role
  • Learn how to attract funding for research projects and how to share your findings for maximum impact
  • Benefit from a truly interdisciplinary approach to learning, drawing on best research practice from across the social sciences and humanities
  • Boost your future prospects by building an impressive portfolio of transferable skills in data collection, analysis and critical reflection – using evidence to evaluate and solve problems
  • Prepare for a fulfilling career as a researcher or research manager in academia or public, private and voluntary organisation
  • Gain an excellent platform if you want to progress to a PhD
  • Enjoy flexibility in your studies – with the chance to take shorter versions of the course leading to a Postgraduate Certificate or Diploma.

The Master of Research (MRes) offers a flexible, challenging and inspirational way to develop wide-ranging research and analytical skills and to complete a substantial research project under the supervision of academic experts. You can gain named MRes awards in Social Research, Criminal Psychology, Humanities or Journalism, depending on the subject pathway you choose to take.

A broad appeal

The MRes is ideal for high-performing students who want to progress directly from undergraduate studies and to continue developing their experience of real-world and collaborative research. 

With a part-time route available, it is also suited to professionals already working in roles which involve the collection and analysis of data to address complex challenges and underpin decision-making.

It will appeal in particular to ambitious individuals who want to advance their careers in settings such as the criminal justice sector, local authorities, police and probation services, the heritage sector and the media. They could be in roles which are specifically focussed on research or where they need to use data and evidence effectively.

In-depth knowledge, enhanced employability

The MRes delivers:

  • A critical awareness of current debates, problems and developments at the forefront of your academic or professional subject specialism
  • A comprehensive understanding of research methods, techniques and originality in research practice
  • Excellent critical thinking, evaluation and analysis skills so that you can test theories and engage in academic debate
  • Enhanced employability so that you are well prepared for higher level professional employment

A truly interdisciplinary approach

One of the strengths of our MRes programme is its emphasis on inter-disciplinary learning. The course is uniquely structured so that you are trained in research methods and practice which are relevant across the social sciences and humanities, equipping you with a solid foundation of skills. 

You will draw on best practice from different sectors, learning how they take distinctive approaches to research and knowledge production. Because the course is expected to attract individuals from different settings – from police officers to social workers, journalists to heritage sector professionals, to name but a few – you will benefit from sharing ideas and fresh perspectives.




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