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Masters Degrees (Human Decision Science)

We have 171 Masters Degrees (Human Decision Science)

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Learning how to make new discoveries that will contribute to a better understanding of normal and dysfunctional human behaviour and how to influence that behaviour. Read more

Overview

Learning how to make new discoveries that will contribute to a better understanding of normal and dysfunctional human behaviour and how to influence that behaviour.

Have you always wanted to discover what it is that makes people tick? Do you have questions about human behaviour that have not yet been tackled? Whether you are driven by scientific curiosity or are intrigued by the potential for more accurate diagnoses and for effective interventions in health or education, the Research Master’s in Behavioural Science is for you.

See the website http://www.ru.nl/masters/bs

Multidisciplinary approach

At Radboud University, we believe that a multidisciplinary approach is necessary to gain the best understanding of human behaviour. We combine knowledge and research methods from the fields of psychology, educational sciences and communication science. These disciplines are not taught separately but instead are brought together in most of our courses, making our approach unique.

Half of the programme consists of research experience. There are many issues you could tackle and a large research faculty you could work with. For example, there are over fifty staff members at the Behavioural Science Institute. The institute has internationally renowned researchers with expertise in a very wide range of topics. And that's not counting the other top scientists we invite to give workshops.

Why study Behavioural Science at Radboud University?

- Students get substantial hands-on research with a minor and major research project on different topics.
- We teach our students research methods and statistics, which we bring to life by revealing their applications to current hot issues in the field.
- Students are free to choose courses and research topics to create their own unique programme.
- Students can do the internship for their major research project abroad. Financial support for international research internships is available within Radboud University and the Behavioural Science Institute.
- You will participate in group-oriented education and be part of a small, select group of highly motivated national and international students.
- Master’s students are free to use any of the state-of-the-art equipment and labs found on campus, including the Virtual Reality Lab, Observational Lab and eye-tracking equipment.
- We have three Faculty Assistant positions for ambitious students to work alongside their course.
- A majority of our graduates gain PhD and other research positions and many students publish their Master’s thesis in peer-reviewed journals.

Discovering more

Due to our interdisciplinary approach, we accept Bachelor’s students from a wide variety of related fields, like psychology, pedagogy, educational science, biology, artificial intelligence and communication science. Simply put, this programme is for social scientists who want to discover the how and why behind human behaviour.

Quality label

The Master's in Behavioural Science was recently awarded the quality label ‘Top Programme' in the Keuzegids Masters 2015 (Guide to Master's programmes), which indicates the programme belongs to the very best programmes in Dutch Master's education, across the entire range of disciplines.

Our approach to this field

The staff of the Behavioural Science Institute at Radboud University originate from the fields of psychology, educational sciences and communication science. Together they tackle issues regarding human behaviour. We believe that in order to fully understand human behaviour you need to use knowledge from all these fields together instead of separately. For example, looking at a psychological issue from a communication perspective could offer new and valuable insights that will lead to better diagnosis or interventions.

At Radboud University we will not just teach you existing research methods in the different fields. You will also learn to look beyond conventions and combine or adjust methods from other disciplines to enable you to do research that will answer your questions. You will not only become a highly skilled researcher but also an innovative one.

Our research in this field

More than half of the Master’s programme in Behavioural Science consists of research. In the first year you’ll do a minor project in which you choose from a list research themes that are provided by staff members or PhD students.

In the second year, you’ll do a major project in the form of a nine month internship which provides you with the experience - and data - needed to write your Master’s thesis. Most internships are carried out within the Behavioural Science Institute (BSI), working closely with colleagues, many of whom are internationally renowned researchers. However, there is also the option to arrange an internship abroad.

To broaden your scope, we expect you to choose different research themes for the minor and major projects, preferably in different groups within the BSI.

Examples of Major Projects in the field of Behavioural Science
- Differential behaviours of teachers toward boys and girls in science classes
- The role of maternal pregnancy stress and other general children’s health issues
- The recovery potential of within-workday break activities
- The effectiveness of an intervention promoting water consumption via children’s social networks
- The effectiveness of video games to reduce anxiety in children using a randomised controlled trail
- The role of experience on clinical diagnostic decision-making
- Exploring the underlying cognitive mechanisms to learn more about the ability to learn to categorise new face groups

Career prospects

The career prospects of a graduate of Behavioural Science are good; almost 100% of our alumni have a job.

- Skills and knowledge
Besides the necessary theoretical knowledge about behavioural science and training in advanced quantitative data analysis, this programme also offers courses (7 EC in total) that will teach you additional skills that every researcher needs: to understand the ethics of research, to understand the process of academic publishing and grant proposals, and to comment on papers and proposals of others. We also encourage students to participate in workshops, colloquia, symposia and conferences to gain experience in the international academic field of behavioural science.

See the website http://www.ru.nl/masters/bs

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Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

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Data Science brings together computational and statistical skills for data-driven problem solving. Read more
Data Science brings together computational and statistical skills for data-driven problem solving. This rapidly expanding area includes machine learning, deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence.

Degree information

The programme comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialised and advanced options covering computing and statistical modelling. Projects are offered both within UCL Computer Science and from a wide range of industry partners.

Students undertake modules to the value of 180 credits.

The programme consists of three compulsory modules (45 credits), five optional modules (75credits) and a dissertation/report (60 credits).

Core modules
-Applied Machine Learning
-Introduction to Supervised Learning
-Introduction to Statistical Data Science

Optional modules - students choose a minimum of 30 credits and a maximum of 60 credits from the following optional modules:
-Cloud Computing (Birkbeck)
-Machine Vision
-Information Retrieval & Data Mining
-Statistical Natural Language Processing
-Web Economics

Students choose a minimum of 0 credits and a maximum of 30 credits from these optional Statistics modules:
-Statistical Design of Investigations
-Applied Bayesian Methods
-Decision & Risk

Students choose a minimum of 15 credits and a maximum of 15 credits from these elective modules:
-Supervised Learning
-Graphical Models
-Bioinformatics
-Affective Computing and Human-Robot Interaction
-Computational Modelling for Biomedical Imaging
-Stochastic Systems
-Forecasting

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

Teaching and learning
The programme is delivered though a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed through a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

Careers

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. A thorough understanding of the fundamentals required from the best practitioners, and this programme's broad base, assists data scientists to adapt to rapidly evolving goals. This is a new degree and information on graduate destinations is not currently available. However, MSc graduates from across the department frequently find roles with major tech and finance companies including:
-Google Deepmind
-Microsoft Research
-Dunnhumby
-Index Ventures
-Last.fm
-Cisco
-Deutsche Bank
-IBM
-Morgan Stanley

Why study this degree at UCL?

The 2014 Research Excellence Framework ranked UCL first in the UK for computer science. 61% of its research work is rated as world-leading and 96% as internationally excellent.

UCL Computer Science staff have research interests ranging from foundational machine learning and large-scale data analysis to commercial aspect of business intelligence. Our extensive links to companies provide students with opportunities to carry out the research project with an industry partner.

The department also enjoys strong collaborative relationships across UCL; and exposure to interdisciplinary research spanning UCL Computer Science and UCl Statistical Science will provide students with a broad perspective of the field. UCL is home to regular machine learning masterclasses and big data seminars.

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Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. Read more
Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. This MSc will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking.

Degree information

The programme combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical computing and modelling. Students choosing the statistics specialisation will take one compulsory module and up to two additional modules from computer science, with the remaining modules (including the research project) taken mainly from within UCL Statistical Science.

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 dissertation/report (60 credits).

Core modules
-Introduction to Statistical Data Science
-Introduction to Supervised Learning
-Statistical Design of Investigations
-Statistical Computing

Optional modules - st least two from a choice of Statistical Science modules including:
-Applied Bayesian Methods
-Decision & Risk
-Factorial Experimentation
-Forecasting
-Quantitative Modelling of Operational Risk and Insurance Analytics
-Selected Topics in Statistics
-Stochastic Methods in Finance I
-Stochastic Methods in Finance II
-Stochastic Systems

Up to two from a choice of Computer Science modules including:
-Affective Computing and Human-Robot Interaction
-Graphical Models
-Statistical Natural Language Processing
-Information Retrieval & Data Mining

Dissertation/report
All students undertake an independent research project, culminating in a dissertation usually comprising 10,000-12,000 words. Workshops running during the teaching terms provide preparation for this project and cover the communication of statistics.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15-minute presentation.

Careers

Graduates from UCL Statistical Science typically enter professional employment across a broad range of industry sectors or pursue further academic study.

The Data Science MSc is a new programme with the first cohort of students due to graduate in 2017. Recent career destinations for graduates of the related Statistics MSc include:
-Towers Watson, Actuary Analyst
-Proctor & Gamble, Statistician
-Ernst & Young, Audit Associate
-Collinson Group, Insurance Analyst
-UCL, PhD Statistical Science

Employability
Data science professionals will be highly sought after as the integration of statistical and computational analytical tools becomes increasingly essential in all kinds of organisations and enterprises. A solid understanding of the fundamentals is to be expected from the best practitioners. For instance, in applications in marketing, the healthcare industry and banking, computational skills should go along with statistical expertise as graduate level. Data scientists should have a broad background so that they will be able to adapt themselves to rapidly evolving challenges. Recent graduates from the related Statistics MSc have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.

Why study this degree at UCL?

UCL Statistical Science has a broad range of research interests, but has particular strengths in the area of computational statistics and in the interface between statistics and computer science.

UCL's Centre for Computational Statistics and Machine Learning, in which many members of the department are active, has a programme of seminars, masterclasses and other events. UCL's Centre for Data Science and Big Data Institute are newer developments, again with strong involvement of the department, where emphasis is on research into big data problems.

UCL is one of the founding members of the Alan Turing Institute, and both UCL Statistical Science and UCL Computer Science will be playing major roles in this exciting new development which will make London a major focus for big data research.

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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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Behavioural science is a rapidly growing area for policy and business with fascinating insights into human behaviour and wide-ranging practical implications. Read more

Introduction

Behavioural science is a rapidly growing area for policy and business with fascinating insights into human behaviour and wide-ranging practical implications.
This exciting, course teaches the core theory and methods of behavioural science and behavioural economics, and how these can be applied to important business and policy-relevant issues.
This MSc is aimed at students with a very strong intrinsic motivation to study the link between economics, psychology, business and policy. The MSc is taught by dedicated staff from the Behavioural Science Centre who have extensive experience in integrating insights from economics and psychology to address key societal challenges.
The MSc offers students the opportunity to gain advanced training in behavioural theory, to learn a comprehensive suite of behavioural methods, and to understand how this ‘toolkit’ can be applied to understand and inform the decisions made by stakeholders, workers and consumers.

Key information

- Degree type: MSc, Postgraduate Diploma
- Study methods: Full-time
- Duration: MSc: one year; Diploma: nine months
- Start date: September
- Course Director: Dr Michael Daly

Course objectives

The course aims to enable students to:
- Develop an in-depth understanding of the core concepts and theory in behavioural economics.
- Understand the relevance of subfields of psychology (e.g. personality, IO) to business.
- Critically appreciate the psychological foundations of key concepts in behavioural science.
- Develop an understanding of how behavioural science has been and can be applied to business and policy contexts.
- Develop the capacity to understand the role of individual difference factors in shaping responses to and behaviours in different economic circumstances and business settings.
- Become proficient in carrying out statistical analyses (e.g. OLS, probit regression) using standard software.
- Understand the role of experiments in identifying decision processes and enabling behaviour change
- Design behavioural experiments and understand key issues involved in conducting and drawing conclusions from behavioural experiments.
- Understand methods of measurement and how the are employed across key domains in behavioural science (e.g. personality, preferences, well-being, health).
- Become aware of the data sources available to researchers in behavioural science and how best to utilise these resources to study business and policy-relevant issues
- Critically appreciate the complex conceptual, design, and statistical issues involved in testing causality in behavioural science.
- Develop, present and communicate arguments clearly and logically both in writing and orally.
- Develop an appreciation of unfolding trends in the behavioural science and behavioural economics literatures and to gain key insights from leading experts in the field.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 7.0 with minimum 6.0 in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade B
- Cambridge Certificate of Advanced English (CAE): Grade A
- Pearson Test of English (Academic): 67 with a minimum of 55 in each component
- IBT TOEFL: 100 with no sub test lower than 20

For more information go to English language requirements https://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Delivery and assessment

You have an active role in your learning experience. Delivery includes lectures, seminars, guest speakers, article discussion groups, and presentations, followed by a three-month dissertation period. Assessment is by a mixture of examination and coursework, including written assignments and presentations. Successful completion of the taught element of the programme leads to the award of the Diploma or allows you to continue for the award of the MSc by completing a 15,000-word dissertation based on an original research question agreed by yourself and your supervisor. The project should reflect your own understanding and knowledge of selected topics learnt during taught modules.

Career opportunities

On completion of this course students will be ready and able to contribute innovative solutions to many businesses, governments and society.
The specialist knowledge they acquire in behavioural science will be invaluable in building long-term careers in business (e.g. human resource management, advertising, regulation, consumer marketing, social marketing and survey research) and those who wish to inform the design and implementation of public policy.
The course also provides an excellent entry for those thinking of progressing to doctoral research in this area.

Industry demand for skills

- Policy: The Cabinet Office has a Behavioural Insights team, which draws on insights from the growing body of academic research in the fields of behavioural science and psychology. The concepts and methods employed by the Behavioural Insights team are now being adopted in other countries and amongst those involved in policy implementation more generally.

- Marketing and Market Research: Key skills desired in marketing and market research include the ability to apply behavioural theory and methods to understand product pricings, promotion, and consumer perceptions. Part of this involves the understanding of the characteristics of customers, so that they can be grouped and targeted in customised ways.

- Human Resources: There is a demand for skills within organisation development, organisation design, resourcing and talent development as well as employee engagement within the HR environment.

- Survey Research: Government, state agencies, and businesses have demonstrated a strong demand for high quality survey data. Companies delivering this service seek sophisticated survey operations skills including knowledge of data collection modes, survey design, survey completion behaviour, formatting, quality control, and distribution.

- Business: Business and management careers now place increasing value on the capacity to apply behavioural insights to business challenges and to gather evidence using experimental methods.

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The MSc Research in Human Geography is a research training Masters degree that provides the skills necessary to undertake a PhD in Human Geography, or for those who want to acquire rigorous research skills more generally. Read more
The MSc Research in Human Geography is a research training Masters degree that provides the skills necessary to undertake a PhD in Human Geography, or for those who want to acquire rigorous research skills more generally.

The recognition of the programme by the UK’s Economic and Social Research Council (ESRC) means that applicants are eligible to apply for 1+3 funding for Masters and PhD or, on successful completion, can apply to ESRC for +3 funding for a PhD.

The programme combines interdisciplinary expertise from Geography, Political Science and International Studies, and is truly multidisciplinary. Students will interact with other MSc students from across the social sciences and thereby gain a unique breadth of academic research, teaching and key transferable skills.

In addition to exposing individuals to cutting-edge debates in human geography, environmental science and related fields, the programme provides research training in theoretical, philosophical and methodological issues relevant to human geography and social science research. These include debates concerning social theory and epistemology, qualitative and quantitative techniques and their application to human geography, and research design, ethics and presentation.

In essence, the MSc provides rigorous research skills with a broad human geography focus, but can also be combined with a number of optional modules concerned with environmental management and decision-making and urban resilience.

The Aims of the Programme are as follows:

- To develop a deeper understanding of advanced level theoretical, philosophical and methodological debates in contemporary human geographies and related social sciences;
- To provide advanced training in social science research methodologies and their application in social research in general and human geography in particular;
- To develop a student's ability to communicate ideas and research effectively; and
- To develop specialist research-grounded expertise (for example, environmental management and/or urban resilience)

About the School of Geography, Earth and Environmental Sciences

The School of Geography, Earth and Environmental Sciences has a renowned history for international excellence in research and teaching.
Our postgraduate programmes are shaped by research that addresses global grand challenges across the fields of geography, planning, earth sciences, environmental science, occupational health and safety, and environmental and public health. With policy- and practice-focused teaching, all our programmes have high employability outcomes.
We offer excellent facilities for postgraduate study including extensive map and archive facilities, earth imaging laboratory, stable-isotope laboratory (SILLA), environmental library, fully digital drawing office, and state-of-the-art laboratories for environmental chemistry, sedimentology, ecology, groundwater and palaeobiology. Our diverse range of programmes will provide you with a thorough understanding of the discipline, high-quality training and skills development, and access to our expert staff and extensive facilities.
Our graduates go on to forge careers in areas that matter – from environmental consultancies and the hydrocarbon industries, to urban planning, policy roles in NGOs and government regulatory services – and make a real contribution to global challenges. Many graduates also go on to study for PhDs.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/postgraduate/funding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/postgraduate/visit

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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Delivering excellence in health and social care at an individual, team and organisational level is not just desirable but achievable. Read more
Delivering excellence in health and social care at an individual, team and organisational level is not just desirable but achievable. The philosophy of this CIEHF recognised course is that for high-quality, safer care to flourish, every member of staff must be committed to, and play their part in, an integrated approach to care. The application of a human factors approach is also crucial if real progress is to be made. A human factors approach involves applying theory, data and design methods about how humans interact with their environment to make it easier for work to be done in the right way.

Course details

The programme develops and equips critical advocates and ambassadors for quality, safety and governance in health and social care. It also enables you to apply comprehensive knowledge, understanding, expertise and advanced skills to lead a human factors-based project in the work place to enhance the quality, safety and governance of care. The programme is suitable for you if you work in the public, independent and voluntary sectors, or any other professional field including clinical and support services.

To maximise your success on this programme you need a viable project in line with your departmental or organisational priorities and agreed by your relevant organisational representative and programme leader. Throughout this course you will have access to qualified CIEHF members. You will be asked to complete a brief human factors-based quality improvement project overview form to support your application.We expect that you will have prior knowledge and/or experience of change management, leadership and quality improvement science or a willingness to independently increase your knowledge in these areas before beginning the course.

Professional accreditation

This course is recognised by the Chartered Institute of Ergonomics & Human Factors.

What you study

You develop in-depth, specialist knowledge of human factors and gain experience in using this to enhance the quality, safety and governance of care. You also study improvement science, leading change and a multi-perspective approach to determining and measuring performance and the impact of change. This includes planning an evaluation study based on the change you have implemented.

Core modules
-Leading Person-centred Quality Improvement in Health and Social Care
-Using a Human Factors Approach to Quality Improvement in Health and Social Care

Modules offered may vary.

Teaching

The programme is taught in short study blocks spread across the academic year over a total of 14 contact days. We use a range of teaching methods including lectures and workshops, student-led seminars, action learning, interactive and online learning activities, directed and self-directed study activities. You are supported by module tutors with extensive experience in this subject area and the programme leader who is a member of the founding cohort for the NHS England and Health Foundation Q Initiative.

We use a range of assessment modes throughout the programme. These include an essay analysing a quality, safety and governance issue using a human factors approach, a project-based evaluation research critique, and a poster presentation and oral defence of a change project.

Formative processes include an informal presentation on the improvement project plan and initial implementation. This is an opportunity for you to receive early development feedback. Presentations are made to a small panel drawn from the critical friends stakeholder support forum whose members participate in student assessment and support programme design and delivery. This group comprises service users and carers, employer representatives and academic staff to ensure that a person-centred approach extends to all aspects of the programme, maximising employer/organisational benefit.

Employability

Graduates from this programme are equipped with specialist human factors knowledge, expertise and experience as well as a range of more generic attributes such as advanced reasoning and decision-making skills. You are able to work collaboratively, present and research. You also have strong ICT skills that highly sought after by employers.

The programme is relevant for you if you work in, or would like to work in a specialist quality, safety or governance role, or one dealing with human factors.

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Cognitive Science and Artificial Intelligence. Read more

Cognitive Science and Artificial Intelligence

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice!

The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior.

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice!

The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior.

Career Prospects Communication Design

Graduates will be able to contribute to advancements in working fields like artificial intelligence and robotics, data science, data mining, knowledge technology and decision support systems.

This is a small selection of positions you may apply for after you have completed your programme:

•Intelligent Software Developer

•Web Analyst

•Social Media Analyst

•Data Journalist

•Social Robot Developer

•Web Data Entrepreneur

•E-Health and Healthcare Quality Analyst



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This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. Read more
This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. It equips graduates with essential knowledge and skills in the fields of operations, quality, and innovation management.

The programme aims to enhance graduates’ technical and management contribution in various enterprises including manufacturing, financial services, health services, government, and many more. It invites participants from many disciplines: it is suitable for Engineering, Science, Commerce, and Arts graduates who wish to pursue a career in a high-tech environment. This conversion course aspect is of significant interest to students who may wish to change direction from their course of undergraduate study and pursue a new career path that offers them sound employment prospects in a growth area.

The Masters of Applied Science (Enterprise Systems) programme is highly regarded by employers and there has always been a strong demand for our graduates. Graduates of this programme have secured roles in engineering, management and IT in companies such as Accenture, Apple, Boston Scientific, Medtronic, Ingersoll Rand, Pepsi Co. Kerry Group, IBM, Ericsson, Elan and Hewlett Packard.

Key features of the programme include:
• An ethos of innovation
• Engaging teaching methods
• Customised learning programme
• Multidisciplinary approach
• Extensive career opportunities.

Content

You can choose from the following courses. Technology Innovation & Entrepreneurship; Project Management; Applied Innovation; Operations Management; Operations Strategy; Logistics and Transportation; Operations Research; Lean Systems; Quality Systems; Human Reliability; Systems Reliability; Ergonomics; Safety and Risk Management; Regulatory Affairs; Decision Systems & Business Analytics; Information Systems Strategy & Planning.

You will also prepare an industrial based research thesis on a topic to be agreed with an academic supervisor. We will provide some company specific case studies (and industrial mentors) in Med Tech, High Tech and Services organisations.

What some of our employers say

Martin Conroy | Senior Director Medtronic

The Enterprise systems programme at NUI Galway focuses on providing the necessary knowledge to be excellent systems thinkers. Graduates have the ability to understand people; process as well as technology related issues in an organisation. The programme encourages candidates to analyse problems using scientific methods and to generate innovative and effective solutions to these problems. Furthermore graduates are given real skills such as the ability to work in a team and communicate well. Such skills are essential to fast moving high tech companies like ours.

Alan Phelan | CEO Nucleus VP Group

We have engaged and recruited graduates and found them to be great problem solvers and critical thinkers. Their background in lean systems has been very applicable to a number of our companies where they have helped to implement sound systems and processes which have allowed our subsidiaries to scale rapidly.

What some of our graduates say

Paul Gleeson | Accenture

The programme is well delivered as there is a nice balance between practical and classroom based learning. I found the lecturers to be some of the most helpful and engaging people I have come across during my studies as they take a hand on approach to getting students involved in class discussions and debates. All in all, the programme is an excellent foundation for finding future employment opportunities due to the high level of personal and professional development you will obtain. It helped open up numerous career opportunities for me so it is a programme that I would highly recommend.

Sean Hehir | Marvao Medical

With a broad subject choice the Masters of Applied Science at NUI Galway allowed me to tailor the course to focus on the areas of interest to me which also complemented my science degree. Through team-oriented projects I developed better inter-personal skills and grew exponentially both professionally and personally. With a flexible course structure and forward thinking/innovative faculty the degree encourages and inspires entrepreneurship and innovation. The course is very relevant to current industrial practices as I found I had a working knowledge of the medical device industry from day one in my current job.

Paul McCormack | Allergan

I undertook the Masters of Applied Science in NUI Galway with the aim of acquiring new skills and knowledge to aid in my future career progression. The course was challenging and required high standards throughout. While striving to meet these standards I believe I have greatly improved my knowledge of business systems and gained valuable new skills. I believe the lessons learnt during the course will facilitate my personal and professional development into the future.

Wenjing Tang | Ernst and Young

The Master of Applied Science (Enterprise systems) programme offers a variety of multidisciplinary modules, which was a great conversion for me from the pure technical background. The essential knowledge and skills I gained from the course help me to work in different roles, either as a software developer in a technology company or an IT consultant in a financial service company. The programme is a great foundation to pursue wider career path.

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Explore advanced topics in computer science with this wide-ranging programme, which will equip you with the understanding and practical skills to succeed in a variety of careers. Read more

Explore advanced topics in computer science with this wide-ranging programme, which will equip you with the understanding and practical skills to succeed in a variety of careers.

Rooted in the established research strengths of the School of Computing, the programme will introduce topics like systems programming and algorithms before allowing you to specialise through your choice of modules.

You could look at emerging approaches to human interaction with computational systems, novel architectures such as clouds, or the rigorous engineering needed to develop cutting-edge applications such as large-scale data mining and social networks.

Building on your existing knowledge of computer science, you’ll develop the theoretical and practical skills required to design and implement larger, more complex systems using state-of-the-art technologies. You’ll even have the chance to work as an integral member of one of our research groups when you develop your main project.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology. 

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as cloud computing, image analysis, machine learning, semantic technologies and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • MSc Project 60 credits

Optional modules

  • Web Services and Web Data 10 credits
  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Machine Learning 10 credits
  • Information Visualization 10 credits
  • User Adaptive Intelligent Systems 10 credits
  • Data Mining and Text Analytics 10 credits
  • Combinatorial Optimisation 10 credits
  • Secure Computing 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Big Data Systems 15 credits
  • Data Science 15 credits
  • Bio-Inspired Computing 15 credits
  • Knowledge Representation and Reasoning 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Foundations of Modelling and Rendering 15 credits
  • Games Engines and Workflow 15 credits
  • Geometric Processing 15 credits
  • High-Performance Graphics 15 credits
  • Animation and Simulation 15 credits
  • Data Mining and Text Analytics 15 credits
  • Cloud Computing 15 credits
  • Semantic Technologies and Applications 15 credits
  • Image Analysis 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science students have included:

  • iPad interaction for wall-sized displays
  • Modelling the effects of feature-based attention in the visual cortex
  • Relevance and trust in social computing for decision making
  • Energy-efficient cloud computing
  • Smart personal assistant - Ontology-enriched access to digital repositories

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.



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Gartner defines Big data as high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Read more
Gartner defines Big data as high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. A recent IDC forecast shows that the market for Big Data technology and services will grow at a 26.4% compound annual growth rate through 2018, or about six times the growth rate of the overall information technology market.

Saint Mary’s new Master of Science in Computing & Data Analytics (MSc CDA) is a graduate-level, 16-month professional program designed to meet the complex challenges associated with Big Data. It combines two essential aspects of computing and data analytics:

- Software design, development, customization, and management
- Analytics and Business intelligence: the acquisition, storage, management, and analysis of huge amounts of data to improve efficiency, innovation, and decision making

The primary focus of the MSc CDA program is to develop highly qualified computing and data analytics professionals who will drive innovation and organizational success. MSc CDA prepares students for rewarding and lucrative careers in the data science industry through experiential learning opportunities and industry interaction.

Program Structure

In the first two semesters of the MSc CDA program, students are introduced to big data challenges and solutions through eight foundation courses:
- Software Development in Business Environment
- Statistics and its Applications in Business
- Human Computer Interaction
- Managing and Programming Databases
- Business Intelligence
- Managing Information Technology and Systems
- Data Mining
- Web, Mobile, and Cloud Application Development


The second half of the program features three applied learning choices:

- Applied Master Project - System and Functional Analysis / Implementation and Analysis of Results
- Internship
- Research Thesis


Visit smu.ca/academics/msccda-courses.html for course outlines

Benefits of the MSc CDA

- Develop in-demand skills and knowledge that lead to exceptional career opportunities
- Study with award winning instructors from Saint Mary’s Faculty of Science and the Sobey School of Business
- Interact with industry professionals through core courses, paid internships, sponsored projects, industry workshops, expert guest speakers, hackathons, and special events
- MSc CDA studnets create a rich portfolio of apps and software solutions from a wide variety of in-demand platforms (Java/J2EE, C#/.Net, JavaScript/jQuery/jQuery Mobile/node.js, HTML5, PHP, iOS, Android, IBM Bluemix, Azure, SAS, Cognos, SQL/MySQL, NoSQL/Mongo DB, R, Python, IBM Watson)

Why Saint Mary's University

Saint Mary’s approach to learning will uniquely nurture the promise you possess. With one-on-one access to award winning professors, who care about your academic performance and your future, you will have the kind of personal support that makes a difference. Saint Mary’s is located in the historic city of Halifax, the bustling economic and cultural centre of Nova Scotia on Canada's east coast.

Halifax is Atlantic Canada’s Innovation Hub - a leader in the information technology sector with a growing concentration of companies and research organizations focused on analytics innovation.

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The Master Socio-Ecological Economics and Policy (SEEP) is an innovative, internationally unique program that equips participants with the necessary theoretical background and factual information about the interconnected dynamics of economic and social systems and the physical environment. Read more
The Master Socio-Ecological Economics and Policy (SEEP) is an innovative, internationally unique program that equips participants with the necessary theoretical background and factual information about the interconnected dynamics of economic and social systems and the physical environment. The program also enables participants to use appropriate analytical tools to engage in decision processes and longer-term policy on multiple spatial levels.

Visit the website: https://www.wu.ac.at/en/programs/masters-programs/socio-ecological-economics-and-policy/overview/

Course detail

Rapid environmental change, population dynamics, poverty, and exclusion are interrelated processes that challenge human development. To tackle these complex issues, traditional disciplinary approaches to analysis and policy formulation are not sufficient. Instead, integrated and interdisciplinary approaches to studying the working of the human-environment system are needed. The Master Socio-Ecological Economics and Policy presents integrated approaches to development and human well-being that go beyond the usual polarization between socioeconomic development and environmental goals.

Purpose

The program offers training in socioeconomic analysis and focuses on the interfaces between environmental, economic and social challenges. This interdisciplinary and internationally oriented approach is based on three major pillars: theory, methodology, and application. The theory courses include concepts from a variety of disciplines, chosen for their relevance to global challenges. The methodological courses offer an integrated introduction to qualitative and quantitative methods and thus illustrate how they are best combined in empirical analyses. Relevance for policy making and organizational practice is emphasized throughout the program.

Our main focus lies on providing a thorough internationalization at the home university by attracting a diverse set of students from all over the world. The “international classroom at home” thus created is meant to allow students to experience foreign (academic) cultures, languages (especially English), and an international renowed faculty without having to leave the campus.

Format

The program offers four concentration areas of which you can choose two: Environment, Population, Multi-Level Policy and Social Policy.

- Semester 1 -

- Contemporary Global Policy Challenges
- Methodology for Interdisciplinary Research
- Growth, Well-Being, and Development
- International Institution, Governance, and Policy Evaluation
- Service Learning 1

- Semester 2 -

- Actors, Behaviors, and Decision Processes
- Qualitative and Quantitative Methods
- Service Learning 2

Concentration Area 1 and 2 – choice of two:

- Environment
- Population
- Multi-Level Policy
- Social Policy

- Semester 3 -

- Qualitative and Quantitative Methods 2

Concentration Area 1 and 2 – continuing the chosen two areas from 2nd semester:

- Environment
- Population
- Multi-Level Policy
- Social Policy

- Semester 4 -

- Research Seminar
- Master Thesis

Career Prospects

The program has been designed to provide students with the necessary understanding of global sustainability issues, an ability to work in interdisciplinary teams, and sound training in socio-economic concepts and methods.

The MSc program prepares graduates for:

- Employment as policy analysts, program managers, consultants, civil servants, project managers, and advisors who provide an insight into and support decision processes relating to sustainability issues by, for example, undertaking risk and uncertainty analyses in the social and environmental sectors; analyzing long-term developments relating to climate change, population development or aging in society; undertaking sustainability appraisals at company, regional or policy levels; helping design social, environmental, economic or educational policies; designing and facilitating participatory processes

- Working in international organizations, consultancies, companies, ministries, national and international NGOs, and research institutes where interdisciplinary skills and knowledge about the interactions of sustainability issues are needed

- Doctoral studies in the social sciences, in particular in economics, social policy, environmental studies and demography

How to apply: https://www.wu.ac.at/en/programs/masters-programs/socio-ecological-economics-and-policy/application-admission/

Funding

Information on funding and scholarships can be found at the following webpage: https://www.wu.ac.at/en/students/my-degree-program/masters-student-guide/grants-and-scholarships/

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This is a Master's degree by research, in which the sole requirement is a dissertation. It is suitable for those who have a strong background in this field, or who have research experience. Read more
This is a Master's degree by research, in which the sole requirement is a dissertation. It is suitable for those who have a strong background in this field, or who have research experience. It is expected that the topic of research will fall within one of the areas supported by the Division.

An MPhil in Biological Anthropological Science may be obtained after one year of research on an approved subject within the field of Biological Anthropology, and includes an oral examination of the thesis and the general field of knowledge in which it falls. The dissertation topics are decided between the student and the supervisor, and assistance is provided on elements of methodology and analysis, as well as with the written presentation.

The thesis must satisfy the examiners that the candidate can design and carry out investigations, assess and interpret the results obtained, and place the work in the wider perspective of the subject. This course begins in October, with submission of the thesis by the end of August.

See the website http://www.graduate.study.cam.ac.uk/courses/directory/hsbampbas

Learning Outcomes

Prepare students for research at the doctoral level and to equip students to be future leaders in Applied Biological Anthropology and allied fields around the world.

Assessment

All students will write a thesis of not more than 35,000 words in length, exclusive of tables, footnotes, bibliography, and appendices, on a subject approved by the Degree Committee for the Faculty of Human, Social, and Political Science. The examination shall include an oral examination on the thesis and on the general field of knowledge within which it falls. The thesis shall provide evidence to satisfy the Examiners that a candidate can design and carry out investigations, assess and interpret the results obtained, and place the work in the wider perspectives of the subject. The thesis and examination form the sole assessment for the degree.

Continuing

MPhil students are registered for one year only. Those who hope to read for a PhD at Cambridge immediately after the MPhil will need to obtain support from a potential supervisor. This need not be the same person who supervises your MPhil thesis. But you will need to work hard to let the potential PhD supervisor see substantive work that you have written, in addition to your draft thesis proposal, at an early stage in the academic year. Once you have applied for the PhD a definite decision will be taken after your performance in the MPhil can be fully assessed; the Committee wil set conditions for your related to the entry requirements of the PhD. If you do not achieve these targets it is unlikely you wil be able to continue to reads towards a PhD.

How to apply: http://www.graduate.study.cam.ac.uk/applying

Funding Opportunities

Opportuniites for relevant funding on application.

General Funding Opportunities http://www.graduate.study.cam.ac.uk/finance/funding

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The aim of the program is to provide future managers and consultants with the managerial and communication skills required to act as change agents and deliver sustainable performance for companies operating in a global environment. Read more
The aim of the program is to provide future managers and consultants with the managerial and communication skills required to act as change agents and deliver sustainable performance for companies operating in a global environment.

Future managers/consultants are trained to acquire the necessary knowledge and competencies to translate strategic plans into tangible performance.

The Master of Science in Business Analysis and Consulting not only focuses on a financial perspective, but allows you to study performance from many angles, such as human resources management, IT, operations management, risks etc.

Accredited with the French National Association of Grandes Ecoles (La Conférence des Grandes Ecoles).

Program Advantages:
- Exposure to the business world through seminars and conferences led by professional consultants
- Study key performance indicators from different, yet complementary, perspectives
- International learning environment

Career Opportunities:
- Graduates can expect to work as a business analyst or a consultant for both internal and external clients, in the private and public sector.

Program

The Master of Science in Business Analysis and Consulting consists of 90 ECTS credits. It is developed around core courses, elective courses, seminars, internship or work experience and a final report, and includes French or other foreign language courses.

One of the key elements of the program is to ensure you learn managerial and communication skills. These are required to ensure sustainable performance can be achieved and how change can be implemented in a company.

Internships provide an opportunity to apply the concepts and theories studied and to create networks.

Curriculum -

There are two semesters of coursework followed by an internship. French language courses are mandatory for non-Francophone students. French speakers may study another language.

Admission & fees

The choice to study abroad is not only an academic decision, but also a financial one. Students need to be aware of the various cost involved in pursuing a master’s at IÉSEG.

Application process -

Admission is based on students’ online application available at https://application.ieseg.fr/ and the examination of the required documents. Admission is offered on an ongoing basis to qualified students. Decision release date: from Mid-October 2016.

Application deadlines:
May 26th 2017

Tuition 2017-2018:
€ 15,000 for domestic and international students.
International merit-based scholarships are available.

Funding and scholarship

IÉSEG has a merit-based International Scholarship Program with a tuition waiver of 15 to 50% per year. Selection is based on the applicant’s previous academic performance and overall application portfolio.

The scholarship application is automatic; students do not need to apply separately.

All international students are encouraged to check with Campus France and their own government to see if there are any scholarships available. For American students please check with Sallie Mae for private loan options.

Testimonials

"I decided to attend IÉSEG School of Management to study the MSc in Business Analysis and Consulting for several reasons. Firstly, I wanted to study in Europe and IÉSEG Paris was an obvious choice. France is at the core Warren HENRICUS of the Eurozone economies, and the campus is situated in the heart of the Europe’s largest business district. Apart from its attractive location and high ranking, the MBAC program at IÉSEG has a rigorous, yet diverse syllabus, which is suited for anyone looking to broaden their horizons in the world of business. It will also be an opportunity to learn the French language. IÉSEG also provides a great deal of support to its students ensuring a smooth transition into life in France. It seems clear that IÉSEG is the perfect choice and I look forward to the year ahead."

Warren HENRICUS, Australia, MBAC 2015

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