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Masters Degrees (Human Decision Science)

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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. 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

Radboud University Master's Open Day 10 March 2018



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The master´s programme Global Politics aims towards you who are interested in global political issues. You will learn how an increasing complex world, where the global and the local meet, presents us with new challenges and opportunities. Read more

The master´s programme Global Politics aims towards you who are interested in global political issues. You will learn how an increasing complex world, where the global and the local meet, presents us with new challenges and opportunities. The programme provides you with a solid practical base concerning concepts like justice, peace, security, power, culture and democracy. You will learn how to analyse conflicts, international relations and human rights claims and violations. 

This is a multi-disciplinary programme with a core of political science which address aspects of international relations, human rights and peace and conflict studies. Focus lays on the transformation of society, especially concerning the relationship between the state and other actors such as international organisations and companies. 

Changes in political control, from reduced central control towards a greater degree of network control will also be addressed. You will analyze the growing importance of international norms, such as human rights. The emergence of other conflict patterns than those related to socio-economic resources (such as culture, ideology and religion) is important parts of the courses. 

Political science at Malmö University

This two-year Master's programme draws from the one-year master’s in political science, with additional opportunities for an internship, exchange studies or elective courses. This provides you with the opportunity to deepen knowledge and gain practical experience, as well as the chance to develop relationships and network with people and organisations working with political and global issues.

The programme is thoroughly interdisciplinary and draws on the different strengths from the Department of Global Political Studies, including International Relations, Peace and Conflict Studies, Human Rights, Public Policy, but also ethnography and philosophy. To gain a deeper understanding of the changes in political science, we consider four key development areas:

Global politics: an increasing number of international and intergovernmental organisations impact world politics.

Government and governance: whilst new information technologies and surveillance legislation mean that the administrative powers of the state have never been stronger, the concept of ‘government’ has become increasingly surpassed by ‘governance’ at the transnational level. Few decisions affecting our lives are taken exclusively within the national context.

Existing modes of power are challenged: there has been a significant change in how organisations like NGOs, as well as everyday individuals, challenge existing governance and modes of power. For example, social media has radically changed the transnational political landscape to both enable new forms of protest and contestation, as well as facilitate new political identities.

Global concerns: issues like climate change and terrorism show that increasingly the kind of problems requiring policy solutions far exceed the confines of any nation-state. That is to say, policy problems are increasingly transnational and therefore require transnational solutions.

What career will I be prepared for?

The programme should be of interest to individuals committed to a career in which knowledge of our changing world is an evident benefit, with relevance to employers including international agencies, non-governmental organisations, transnational businesses, and local/national administrative agencies.

Courses

For programme with start Autumn 2018: 

Autumn 2018 - Semester 1

Spring 2019 - Semester 2

Spring 2020 - Semester 4


Learning outcomes

Knowledge and understanding 

  • demonstrate knowledge and understanding in the main field of study, including both broad knowledge of the field and a considerable degree of specialised knowledge in certain areas of the field as well as insight into current research and development work, and
  • demonstrate specialised methodological knowledge in the main field of study.

Competence and skills 

  • demonstrate the ability to critically and systematically integrate knowledge and analyse, assess and deal with complex phenomena, issues and situations even with limited information
  • demonstrate the ability to identify and formulate issues critically, autonomously and creatively as well as to plan and, using appropriate methods, undertake advanced tasks within predetermined time frames and so contribute to the formation of knowledge as well as the ability to evaluate this work
  • demonstrate the ability in speech and writing to clearly report and discuss his or her conclusions and the knowledge and arguments on which they are based in dialogue with different audiences, and
  • demonstrate the skills required for participation in research and development work or autonomous employment in some other qualified capacity.

Judgement and approach 

  • demonstrate the ability to make assessments in the main field of study informed by relevant disciplinary, social and ethical issues and also to demonstrate awareness of ethical aspects of research and development work
  • demonstrate insight into the possibilities and limitations of research, its role in society and the responsibility of the individual for how it is used, and
  • demonstrate the ability to identify the personal need for further knowledge and take responsibility for her or his ongoing learning.


Degree

Master's Degree (120 credits).

Degree of Master of Arts (120 credits) with a major in Political Science



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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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The master´s programme Global Politics aims towards you who are interested in global political issues. You will learn how an increasing complex world, where the global and the local meet, presents us with new challenges and opportunities. Read more

The master´s programme Global Politics aims towards you who are interested in global political issues. You will learn how an increasing complex world, where the global and the local meet, presents us with new challenges and opportunities. The programme provides you with a solid practical base concerning concepts like justice, peace, security, power, culture and democracy. You will learn how to analyse conflicts, international relations and human rights claims and violations. 

This is a multi-disciplinary programme with a core of political science which address aspects of international relations, human rights and peace and conflict studies. Focus lays on the transformation of society, especially concerning the relationship between the state and other actors such as international organisations and companies. 

Changes in political control, from reduced central control towards a greater degree of network control will also be addressed. You will analyze the growing importance of international norms, such as human rights. The emergence of other conflict patterns than those related to socio-economic resources (such as culture, ideology and religion) is important parts of the courses. 


What is Global Politics and Societal Change about?

These are turbulent political times. International power bases are shifting. Political, economic and military threats merge and reform, presenting new political challenges. Examples like China and Russia prompt us to rethink the widely held belief that democratic reform will follow on the heels of economic progress. In these days of the “war on terror” it is also more and more difficult to know what a war is, who fights it, how it starts and how it can end. In the meantime, global inequality is increasing. Half of the world’s population lives in severe poverty, many of them in conflict-ridden regions and/or under failing governments. Problems of development – malnutrition, poverty, preventable diseases – can be solved by a global effort, so why does it not happen?

The one-year master's programme in Global Politics and Societal Change will help you make sense of these issues. It will give you a solid theoretical base concerning the meaning and role of concepts like justice, peace, security, power, culture and democracy.


What makes the master programme unique?

The programme is thoroughly interdisciplinary and draws on the different strengths in the Department of Global Political studies, including International Relations, Peace and Conflict Studies, Human Rights, Public Policy, but also Ethnography and Philosophy. It focuses specifically on the changing nature of global politics and pays particular attention to how new institutions and patterns of conflict and cooperation affects public policy on different levels, including the local level. In addition to advancing a more nuanced perspective on what ‘globalisation’ means, the programme extends to our understanding of politics as a continuous and often very complex interaction of decision-making, institutions, and advocacy on multiple levels.


What career will I be prepared for?

After graduation you will be well prepared for qualified social scientific analysis. You will be well equipped to work with issues like international aid, development, conflict prevention, foreign policy, and human rights fulfillment. You attain up to date skills based on the latest research combined with an ability to manage projects and communicate scientific knowledge to various social actors in the field.

Potential employers are international agencies, non-governmental organisations, local and national administration agencies and the diplomatic service. You will also be able to continue for research education studies at advanced and doctoral levels after completing your degree.


Courses

For programme with start Autumn 2018: 

Autumn 2018 - Semester 1

Spring 2019 - Semester 2


Learning outcomes

Knowledge and understanding 

  • demonstrate knowledge and understanding of the developing tendencies identified in the programme that relate to its overarching themes, including a qualified overview of current research on globalization and of how different processes on the global level relate to and affect societal changes on the local level
  • demonstrate knowledge and understanding of methodological approaches in the field of global studies and of their consequences for research outcomes.

Competence and skills 

  • Following successful completion of the course students should be able to:
  • analyze complex phenomena and issues on the basis of different types of material.
  • autonomously identify gaps in knowledge, formulate issues and design research based on relevant theories and methods.
  • communicate research outcomes in speech and writing in a professional way to different audiences and recipients.
  • demonstrate the ability to participate in research dialogue and project work.

Judgement and approach 

  • identify and reflect on ethical aspects on research.
  • evaluate research results on the basis of the parameters of reliability and generalizability for the purpose of estimating the limitations of research.
  • identify their personal needs for further knowledge and learning

Degree

Master's Degree (60 credits).

Degree of Master of Arts (60 credits) with a major in Political Science



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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.

About this degree

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 in 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 Machine Learning
  • Statistical Design of Investigations
  • Statistical Computing

Optional modules

At 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 of 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.

Further information on modules and degree structure is available on the department website: Data Science MSc

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:

  • Management Associate, HSBC
  • Statistical Analyst, Nielsen
  • PhD in Statistics, UCL
  • Mortgage Specialist, Citibank
  • Research Assistant Statistician, Cambridge Institute of Public Health

Employability

Data science professionals are likely to be increasingly sought after as the integration of statistical and computational analytical tools becomes essential in all kinds of organisations and enterprises. A thorough 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 should be accompanied by statistical expertise at graduate level. Data scientists need a broad background knowledge so that they will be able to adapt 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.

Research Excellence Framework (REF)

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

The following REF score was awarded to the department: Statistical Science

82% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

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



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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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The Cognitive and Decision Sciences MSc at UCL studies the cognitive processes and representations underlying human thought, knowledge and decision-making. Read more

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

About this degree

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

Students undertake modules to the value of 180 credits.

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

Core modules

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

Optional modules

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

Dissertation/report

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

Teaching and learning

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

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

Careers

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

For more detailed careers information please visit the department website.

Recent career destinations for this degree

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

Employability

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

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

Why study this degree at UCL?

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

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

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

Research Excellence Framework (REF)

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

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

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

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



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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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Data Science brings together computational and statistical skills and machine learning for data-driven problem solving. Read more

Data Science brings together computational and statistical skills and machine learning for data-driven problem solving. This rapidly expanding area includes 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.

About this degree

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 range of industry partners.

Students undertake modules to the value of 180 credits.

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

Core modules

  • Applied Machine Learning (15 credits)
  • Introduction to Machine Learning (15 credits)
  • Introduction to Statistical Data Science (15 credits)

Optional modules

Students must choose 30 credits from Group One options. For the remaining 45 credits, students may choose up to 30 credits from Group Two options or up to 45 credits from Electives.

Group One Options (30 credits)

  • Advanced Deep Learning and Reinforcement Learning (15 credits)
  • Birkbeck College: Cloud Computing (15 credits)
  • Information Retrieval and Data Mining (15 credits)
  • Introduction to Deep Learning (15 credits)
  • Machine Vision (15 credits)
  • Statistical Natural Language Processing (15 credits)
  • Web Economics (15 credits)

Group Two Options (up to 30 credits)

  • Applied Bayesian Methods (15 credits)
  • Decision and Risk (15 credits)
  • Forecasting (15 credits)
  • Statistical Design of Investigations (15 credits)

Electives (up to 45 credits)

  • Affective Computing and Human-Robot Interaction (15 credits)
  • Bioinformatics (15 credits)
  • Computational Modelling for Biomedical Imaging (15 credits)
  • Graphical Models (15 credits)
  • Stochastic Systems (15 credits)
  • Supervised Learning (15 credits)

Please note: the availability and delivery of modules may vary, based on your selected options.

A list of acceptable elective modules is available on the Departmental page.

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.

Further information on modules and degree structure is available on the department website: Data Science and Machine Learning MSc

Careers

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. This is a very 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
  • Cisco
  • Deutsche Bank
  • IBM
  • Morgan Stanley

Employability

Students gain a thorough understanding of the fundamentals required from the best practitioners, and the programme's broad base enables data scientists to adapt to rapidly evolving goals.

Why study this degree at UCL?

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

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; 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.

Research Excellence Framework (REF)

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

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

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



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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.

Course details

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)

Learning and teaching

Modules are taught using a diverse blend of teaching styles and assessment formats. Teaching methods include lectures, seminars, workshops and guided reading.

Employability

Former students taking this Masters degree programme have developed successful academic, business and policy-based careers (for example, in policy development, international finance and accountancy, economic development and consultancy, journalism and market research for a range of public, private and voluntary organisations). Other graduates of the course have continued to PhD research in the School and elsewhere, such as Oxford. Given the increasing competition for graduate jobs, many students are now deciding to read for an MSc to enhance their CVs.



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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.

Course structure

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

How you learn

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.

How you are assessed

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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The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. Read more

The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

You will be able to shape your programme to match your interests and career ambitions, choosing modules from a range of areas, including the development of human-computer communications (dialogue systems), ubiquitous computing, applying interactive digital multimedia techniques, security and surveillance, and building decision-support tools for uncertain problems in various contexts (e.g. legal, medical, safety). This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

This programme will:

  • Allow you to personalise your programme through a wide range of employment-relevant module choices.
  • Build your links with industry and potential employers - we have excellent links with industry, working together on commercial and research projects.

Why study your MSc in Computer Science at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • Industrial projects scheme - To support industrial experience development, you can do your final project in collaboration with an industrial partner.

Full-time

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Important note regarding Part Time Study

We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator.

Structure

MSc Computer Science is currently available for one year full-time study, two years part-time study.

Semester 1 - (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  •  Functional Programming
  •  Semi-Structured Data and Advanced Data Modelling
  •  Introduction to Object-Oriented Programming

Further options:

  • Machine Learning
  • Introduction to Computer Vision
  • Design for Human Interaction
  • Program Specifications
  • Big Data Processing
  • Introduction to Law for Science and Engineering

Semester 2 - (Maximum of 4 modules to be taken in Semester 2)

Select at least one from:

  •  Security and Authentication 
  •  Interactive Systems Design
  •  Bayesian Decision and Risk Analysis 

Further options from:

  •  Mobile Services
  •  Real Time & Critical Systems
  •  Business Technology Strategy
  •  The Semantic Web
  •  Information Retrieval
  •  Software Analysis and Verification
  •  Natural Language Processing
  •  Advanced Object Oriented Programming
  •  Cloud Computing
  •  Data Analytics
  •  Parallel Computing
  •  Machine Learning for Visual Data Analytics
  • Foundations of Intellectual Property Law and Management

Semester 3

  •  Project

Please note that elective modules are subject to availability, timetabling constraints and may be subject to change.



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Explore the interesting intersection of psychology and economics. You’ll gain a deep, well-rounded understanding of human behaviour and learn how to predict it. Read more

Explore the interesting intersection of psychology and economics. You’ll gain a deep, well-rounded understanding of human behaviour and learn how to predict it.

This MSc enables you to delve deeply into the two inter-related disciplines of psychology and economics, in order to better explore, understand and predict the decisions people make.

Combining economic modelling with what psychology can tell us about individual behaviour and emotions you’ll learn to create highly accurate models for predicting human behaviour, which can then be used to empower behaviour change at both a micro and macro level.

This course is ideal if you are seeking to work in any area where understanding human decision-making is critical. This ranges from industry and healthcare, to developing new technologies or policies, and beyond.

The course has been designed from a truly interdisciplinary perspective, bringing together specialist teaching and expertise from both the Department of Psychology and Department of Economics.

You’ll work with expert, research-active, staff who’ll collaborate to deliver the content, give you exposure to the latest issues and trends, and links with employers, and ensure you gain the interdisciplinary insights that will set you apart in the jobs market.

You will leave this course with:

  • a deep, interdisciplinary, understanding of the psychological and economic science affecting human factors in decision-making
  • a thorough understanding of the modelling of human decision-making and the ability to integrate psychological science with this to create enriched models of choice behaviour
  • the ability to develop powerfully-predictive behavioural models based on a strong bedrock of theory from both psychology and economics
  • the ability to use models to deliver valid conclusions

This course is highly relevant if you have an economics or psychology background, or come from a background where modelling or understanding human behaviour is a key component, such as engineering or sociology.

Graduate prospects

Graduates with this level of interdisciplinary knowledge and skills are in high demand among employers, so you will be well placed to gain work in any field where a deep understanding of human behaviour is critical.

You could take your skills into government, banking or finance, healthcare, the third sector, economic regulation, human resources or executive management.

You could also take your studies further to doctoral level.

Course structure

This course lasts 1 year. Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.

The course includes an online pre-sessional unit that will develop your understanding of theories and modelling in the field. This is not assessed.

Units

Compulsory course units

These compulsory units are currently being studied by our students, or are proposed new units.

Semester 1

  • Psychological and economical perspectives into decision-making
  • Statistical and mathematical modelling

Semester 2

  • Contemporary issues in the understanding of decision-making
  • Professional skills development

Summer

  • Contemporary issues in the understanding of decision-making

Learning and assessment

Learning

  • Lectures
  • Online resources
  • Practical sessions
  • Seminars
  • Tutorials
  • Workshops

Assessment

  • Coursework
  • Dissertation
  • Essay
  • Oral assessment
  • Portfolio
  • Other


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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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