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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 on a daily basis. 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 on a daily basis. 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. They are in high demand with employers in all sectors.

Our MSc Business Analytics and Decision Sciences is taught by internationally recognised academics and business practitioners from our Centre for Decision Research. They are actively engaged in the latest research, advising businesses, governments and international bodies about contemporary issues in decision making. They share this expertise and knowledge with you in the classroom.

This Masters degree is ideal if you have a good grounding in quantitative subjects, and wish to develop and apply your analytical skills in a business environment.

Careers

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. Articles in Businessweek, recent pieces published by McKinsey & Company, and many other publications evidence a buoyant demand for graduates with these skills, both in the UK and internationally.

Apply now

The deadline for International applications is 31 March 2017.
The deadline for UK/EU applications is 31 August 2017.
For further guidance on how to apply, visit: http://business.leeds.ac.uk/masters/how-to-apply/

Online events

You can logon from anywhere to join one of these one hour events, which will include:

- Introduction to Leeds University Business School and Masters study
- Advice from one of our Professional Development Tutors, with examples of the career skills you can build and the major companies we work with
- Guidance on how to apply for postgraduate study from our admissions team
- Opportunity to ask your questions

The dates for our next online events are below:

- TBC

Open events

Our Masters Open Days are an opportunity to visit in person, learn more about our Masters degrees and meet our staff. Activities include:

- Presentations, talks and Q&A with academic directors
- Business School tour
- Speak to admissions, academic teaching teams and current Masters students

Our next Masters Open Day:

- TBC

Please visit our website for further information and to book your place: http://business.leeds.ac.uk/masters/meet-us-at-an-event/

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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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Do you want to affect the future of forests, a key natural resource and the wellspring of biodiversity? Have you ever wondered why forests are called the lungs of the Earth and how climate change relates to forests? Or how trees are grown and processed into products in a sustainable and efficient manner? And how are the economy and forests interrelated?. Read more
Do you want to affect the future of forests, a key natural resource and the wellspring of biodiversity? Have you ever wondered why forests are called the lungs of the Earth and how climate change relates to forests? Or how trees are grown and processed into products in a sustainable and efficient manner? And how are the economy and forests interrelated?

You can find answers to these questions when you study forest sciences. You will come to view forests not only as a setting for jogging trails or as a source of wood, but rather as a source of versatile renewable resources and as complex ecological systems that are closely connected to their environment. The relationship between humans and nature and between society and natural resources is a strong feature of these studies.

The Master’s Programme in Forest Sciences offers a broad and versatile perspective on forests and their use. The studies focus on and apply knowledge in biology, business economics, environmental sciences, logistics, geoinformatics and information technology. As a graduate in forest sciences you will be a professional in forest ecology, the management and use of forest resources, forest bioeconomy business and policy, with ample career opportunities in Finland and abroad.

Come and study forest sciences at the University of Helsinki, in one of the world’s foremost degree programmes in the field. For more information in Finnish about studies in forest sciences, the field of forestry and its opportunities, see http://www.metsatieteet.fi.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

General studies in the Master’s programme provide you with skills needed for the academic world and the labour market. In advanced studies, you focus on field-specific issues and develop your professional knowledge when writing your Master’s thesis and completing courses in your field of specialisation. In addition, the studies include elective courses that allow you to diversify and deepen your knowledge.

The Master's Programme in Forest Sciences comprises three study tracks: forest ecology, the management and use of forest resources and forest bioeconomy business and policy. These study tracks include a total of 12 fields of specialisation.

The specialisations in forest ecology focus on various types of forest and peatland ecosystems and their exploitation. Topical issues include climate change, the prevention of damage to forests caused by insects and fungi, the control of game populations, and problems related to the exploitation of tropical forests.

The specialisations in the management and use of forest resources examine the planning of forest use and the relevant collection of information, forest inventory models, wood harvesting and logistics as well as the processing of wood into bioeconomy products. Topical issues include the application of new remote sensing methods in the planning of forest resource management, the combination of different values and targets in forestry and bioeconomy, various models of silviculture, increased efficiency in logging and transportation, and generating added value in all areas of biorefining.

Studies in the business economics of forest bioeconomy are based on the sustainable use of a renewable natural resource and on the development of responsible business activities in a global environment. The focus of studies is on the globalisation of forest-based industry and business and its structural redevelopment into the bioeconomy. You will become familiar with forest-based issues of the bioeconomy in production, marketing and policy as part of the global operating environment.

Selection of the Major

Graduates from the Bachelor’s Programme in Forest Sciences at the University of Helsinki can continue their studies in the Master's Programme in Forest Sciences. There is an application process for graduates from other Bachelor’s programmes, from universities of applied sciences, and for international applicants.

In the application process, you are selected for the Master’s Programme in Forest Sciences. Upon admission you must select one of the three study tracks, and you must select your specialisation by the second year of your Master’s studies.

Study tracks, specialisations and examples of topics covered by them:
Forest Ecology
-The management and restoration of forest ecosystems: the sustainable and multitargeted use of forest, the use of peat.
-Forest soil science: the biogeochemistry and hydrology of forest soil, soil and root ecology.
-Forest pathology and mycology: the microbiology and epidemiology of forests.
-Forest zoology: the biology and ecology of forest insects, the ecology of forest pests.
-Wildlife management: game populations and society, the planning of game husbandry, mammal ecology.
-The ecology, management and use of tropical forests: methods of tropical forestry, agroforestry.

Management and Use of Forest Resources
-Forest resource management: the collection and use of forest-related information in decision-making, laser scanning, remote sensing, forest inventory.
-Forest technology and logistics: the management of forest products, terramechanics, forest bioenergy.
-Wood technology: wood science and wood as raw material, laboratories in the forest industry, the structure and properties of wood raw material.

Forest Bioeconomy Business and Policy
-Marketing and management in the forest industry: strategic management and marketing, responsibility in forestry, customer orientation, innovations.
-Forest economics: business economics of units within forest bioeconomy, economics of silviculture, forest investment and the economic impact of environmental targets.
-International forest policy: global processes and trends impacting the forest sector from the perspective of individuals, communities and nations.

Programme Structure

The Bachelor’s Programme in Forest Sciences includes two study tracks: forest ecology and the use of forest resources, and forest economics and marketing. The Master's Programme in Forest Sciences comprises three study tracks: forest ecology, the management and use of forest resources, and business economics and policies of forest bioeconomy. These study tracks include a total of 12 specialisations (see specialisations above). Upon completing the Master's Programme in Forest Sciences you will be eligible to apply for the Doctoral Programme in Sustainable Use of Renewable Natural Resources.

Career Prospects

A degree in forestry offers extensive and fairly unique professional competence on a global scale on forest and peatland ecosystems, forest management and use, forest conservation, the business economics and policies of forest bioeconomy as well as the collection, management and use of forest-related information. For more information in Finnish on the available career opportunities, see http://www.metsatieteet.fi

Internationalization

Studies in forestry offer ample opportunities for international activities. For example, you can complete your practical training or collect material for your Master’s thesis abroad. Most courses in the Master’s programme are in English, and several international students participate. You can also serve as a tutor for international exchange students and establish contacts and networks in this way. Another example of international activities is the Helsinki Summer School, which offers intensive courses on topical issues and brings together students from as many as 60 countries.

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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.

Read less
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 Masters in Investment Management at Surrey Business School is delivered by experienced investment managers. Read more
The Masters in Investment Management at Surrey Business School is delivered by experienced investment managers.

You’ll benefit from a programme focussed on a systematic approach to the key decisions taken in investment management, equipping you with the skills needed to thrive in multinational corporations operating in an increasingly complex and fast changing global financial environment.

PROGRAMME OVERVIEW

This programme is attuned to the current needs of investment and finance professionals: it combines a rigorous theoretical approach to investment management with the practical tools and opportunities to solve real-life investment problems.

You will learn the analytical, decision-making, problem-solving, risk mitigation and technical financial skills needed to succeed in the field. On graduation, you will have mastered each stage of the investment management process and be able to make informed decisions within that context.

Our compulsory modules deliver a fundamental understanding of investment management concepts, while optional modules allow you to tailor your learning based on your interests or career path. We also incorporate use of our Bloomberg Lab into the programme and you should obtain a Bloomberg Market Competency certificate during their studies.

As the focus of the programme is to prepare you for a career in investment the use of Bloomberg is incorporated into the programme. There is also an opportunity to undertake a preparation course for CFA Level 1 exams once Semester 2 teaching has finished.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Fixed Income Investment
-Foundations of Finance
-Equity Investment Analysis
-Quantitative Methods
-Derivative Securities
-Portfolio Management
-Corporate Finance
-International Corporate Finance
-International Finance
-International Financial Reporting
-Risk Management
-Money and Banking
-MSc Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The need for an Investment Management programme arises from the continuing global demand for professionals working in the fields of investment management, investment banking, pension funds, insurance companies and alternative investment partnerships (such as hedge funds, private equity and sovereign wealth funds).

The aim of the programme is to provide students with the array of skills required to operate successfully in an investment management or investment analysis role within the finance industry or to pursue further academic study within the subject area.

The programme will provide a high quality education that is current, intellectually rigorous and attuned to the needs of investment and finance professionals. It provides the theoretical underpinning and the practical skills that such professionals need in order to cope with an increasingly complex global financial environment.

It also provides a valuable foundation for those considering continuing their academic studies in the field of applied finance, accounting and banking to PhD level. The programme provides students with a basis for developing their own approach to learning and personal development through a combination of compulsory and optional modules that are united by a focus on dialogue between theory and practice.

The compulsory modules provide a rigorous grounding in theory plus the quantitative techniques necessary to undertake empirical investigations and form balanced evaluations of practice. The optional modules offer students the opportunity to focus their study and to specialise in areas that are of particular interest to them and their future career needs.

Graduates of the programme will obtain the skills that enable them to function as an investment professional or to develop independent academic research. These include:
-Strong analytical skills which will be developed in the equity investment analysis and fixed income investment modules where the emphasis is clearly on the ability to analyse potential investment asset
-Highly developed decision making skills; with much of the focus of the whole programme on decision taking, but particularly in the Portfolio Management module which focuses on key decisions such as nderstanding how and why investment mandates are awarded, the role of asset allocation and key decisions such as the decision to be a passive investor or active investor
-Problem solving abilities are developed in many areas including learning to select appropriate assets for a portfolio based on an appropriate valuation methodology, economic drivers and the agreed risk tolerance of clients or sponsors.
-Students will gain an insight into the newly developed area of behavioural finance
-Understanding how investment style creates portfolio biases and affects performance
-Students will also gain a wide range of technical financial skills as part of their understanding the investment process (the method by which a universe of potential investments is filtered to result in a final portfolio of investment holdings which reflect investment objectives).

They will also able to evaluate investment performance against a peer group or an investment benchmark such as an appropriate stock market or bond market index.

PROGRAMME LEARNING OUTCOMES

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

Knowledge and understanding
-Strong analytical skills
-Able to analyse potential investment assets
-Highly developed decision making skills
-Understanding how and why investment mandates are awarded
-The role of asset allocation
-Understand the decision to be a passive investor or active investor

Problem solving abilities
-Appropriate valuation methodology
-Economic drivers
-The agreed risk tolerance of clients or sponsors

Intellectual/cognitive skills
-Develop students own approach to learning and personal development through a combination of compulsory and elective modules that are united by a focus on dialogue between theory and practice
-Critically evaluate the key research methods employed in the investment decision making process
-Use acquired knowledge and appropriate skills to make professional investment decisions

Professional practical skills
-Understand the investment process
-Develop an investment process
-Evaluate investment performance against a peer group or an investment benchmark such as an appropriate stock market or bond market index
-Understand the role and use of derivative securities

Key/transferrable skills
-Transferable analytical and decision making skills
-How to work independently on a research topic or problem solving task (MSc)
-Data processing skills
-How to form views on incomplete data

Knowledge and understanding
-Strong analytical skills which will be developed in the equity investment analysis and fixed income investment modules where the emphasis is clearly on the ability to analyse potential investment assets
-Highly developed decision making skills; with much of the focus of the whole programme on decision taking, but particularly in the Portfolio Management module which focuses on key decisions such as: Understanding how and why investment mandates are awarded, the role of asset allocation and key decisions such as the decision to be a passive investor or active investor
-Problem solving abilities are developed in many areas including learning to select appropriate assets for a portfolio based on an appropriate valuation methodology, economic drivers and the agreed risk tolerance of clients or sponsors

Intellectual / cognitive skills
-Develop their own approach to learning and personal development through a combination of compulsory and optional modules that are united by a focus on dialogue between theory and practice
-Critically evaluate the research methods employed in the investment decision making process
-Use acquired knowledge and appropriate skills to make professional investment decisions

Professional practical skills
-Students will also gain a wide range of technical financial skills as part of their understanding the investment process (the method by which a universe of potential investments is filtered to result in a final portfolio of investment holdings which reflect investment objectives). They will also able to evaluate investment performance against a peer group or an investment benchmark such as an appropriate stock market or bond market index.

Key / transferable skills
-Analytical and decision making skills which can be transferred to any area of business
-How to work independently on a research topic or problem solving task

GLOBAL OPPORTUNITIES

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

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

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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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Medical imaging is a rapidly developing field of growing importance both in patient management and clinical decision making and in drug development and evaluation. Read more
Medical imaging is a rapidly developing field of growing importance both in patient management and clinical decision making and in drug development and evaluation. Dramatic developments in imaging both anatomy and molecular processes, especially using Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT) and Magnetic Resonance Imaging (MRI). Research and development in the field is highly multi-disciplinary with key roles played by computing scientists and mathematicians, chemists, pharmacists, physicists, biologists, and of course clinicians. The Division of Imaging Sciences & Biomedical Engineering hosts a multidisciplinary team of academics directing a wide range of cutting-edge research projects, with an emphasis on translation “from bench to bedside”.

Key benefits

- Access to state of the art preclinical and clinical imaging facilities

- Clinically applied modules

- Two 4 month research projects within the Imaging Sciences’ Wellcome/EPSRC Medical Engineering Centre or CRUK/EPSRC Comprehensive Cancer Imaging Centre

- Research facilities based within a hospital environment enabling basic imaging science to be translated quickly into the clinic

- May constitute first year of a 4-year PhD

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/medical-imaging-sciences-mres.aspx

Course detail

- Description -

Medical Imaging Sciences aims to provide graduates of chemistry, physics, computing, mathematics, biology, pharmacy or medicine, with advanced training in the imaging field. Intended mainly as preparation for a PhD, but also serves as training for employment in hospitals and industry. Key components are two research projects, which may be linked around different aspects of a single research area in medical imaging.

- Course purpose -

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. The aim of this MRes programme is to provide students who have graduated in any of these subject areas with advanced training to prepare them to apply their specialist graduate skills in the imaging field. The programme is intended mainly as a preparation for a PhD in the field, at King's or elsewhere, but it also serves as training for employment in hospitals and industry.

- Course format and assessment -

Taught modules are presented in a variety of formats, including lectures, workshops, laboratory practicals, site visits etc. Assessment is based on coursework and examination.

Both research projects are carried out under the supervision of academics within the Division’s five departments (Biomedical Engineering; Cancer Imaging; Cardiovascular Imaging; Imaging Chemistry and Biology and Perinatal Imaging and Health). Some research projects may take place in a collaborating laboratory elsewhere in King's or at a collaborating institution.

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.

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

About Postgraduate Study at King’s College London:

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

Scholarships & Funding:

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

Free language tuition with the Modern Language Centre:

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

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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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This course is suitable for those who are experienced health and social care practitioners and wish to pursue high-level careers in clinical practice, and to lead innovative, evidence-based practice. Read more

Summary

This course is suitable for those who are experienced health and social care practitioners and wish to pursue high-level careers in clinical practice, and to lead innovative, evidence-based practice.

From day one of this interprofessional programme, you will be working alongside research supervisors who will give you the skills and experience to succeed. Ultimately, this study option will equip you with everything you need to assume 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. You will be invited to nominate a senior colleague to fulfil the role of a practice mentor, who will offer you critical advice.
This programme is run in conjunction with the Institute of Sound and Vibration Research (ISVR), which has a world-class reputation for using technology to improve quality of life.

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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