• Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Imperial College London Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
  • University of York Featured Masters Courses
  • Regent’s University London Featured Masters Courses
De Montfort University Featured Masters Courses
Cass Business School Featured Masters Courses
University of Leeds Featured Masters Courses
Queen Margaret University, Edinburgh Featured Masters Courses
Aberdeen University Featured Masters Courses
"human" AND "decision" AN…×
0 miles

Masters Degrees (Human Decision Science)

  • "human" AND "decision" AND "science" ×
  • clear all
Showing 1 to 15 of 177
Order by 
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

Read less
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.

Read less
Are you looking for a Masters-level qualification that will open doors to jobs and promotions in the field of information science? This course combines core modules in information science with options that range across the sub-disciplines of data analytics, library management and records management. Read more
Are you looking for a Masters-level qualification that will open doors to jobs and promotions in the field of information science? This course combines core modules in information science with options that range across the sub-disciplines of data analytics, library management and records management.

The core modules cover topics such as human information behaviour, interactive information retrieval, user-centred design and persuasive technologies. You will solve problems from a number of perspectives: as a developer of rigorous technical solutions, as a manager who wants to achieve a profitable and sustainable advantage, and as an ethical and socially aware information professional who understands the role of information within the wider social context.

For your optional modules, you have the flexibility to pick and choose from different sub-disciplines of information science. If you are sure that you want to focus on just one sub-discipline, we offer a suite of more focused courses: MSc Information Science (Data Analytics), MSc Information Science (Library Management), and MSc Information Science (Records Management).

This course can also be completed through distance learning - for more information, please view this web-page: https://www.northumbria.ac.uk/study-at-northumbria/courses/information-science-msc-dl-dtdinz6/

Accreditation

All of Northumbria’s information science postgraduate courses are accredited by the Chartered Institute of Library and Information Professionals, with our Records Management pathway also accredited by the Archives and Records Association. These accreditations make our courses stand out and enhance their credibility and currency among employers, and are also crucial for progressing to Chartership status once qualified.

CILIP assessors particularly commended the way in which the programme had been developed to take account of the changing requirements of employers and feedback from students. The resulting course was particularly strong in the digital elements of information work, and in developing students’ transferable skills.

Learn From The Best

Our teaching staff include cutting-edge researchers whose specialisms overlap with the content of this course, helping ensure that teaching is right up-to-date. Specialisms include big data, data mining, decision-making, digital literacy, information behaviour, information retrieval systems, recommender systems, and the link between information science and cognitive psychology.

Our eminent academics have written books that regularly appear on reading lists for information science courses at universities all over the world. They also work as external examiners and reviewers of courses at other UK and non-UK universities.

Our course is delivered through the Northumbria iSchool, which is one of only six iSchools in the UK. A hallmark of an iSchool is an understanding that expertise in all forms of information is required for progress in science, business, education and culture. This expertise must cover the uses and users of information, the nature of information itself, as well as information technologies and their applications.

Our course is delivered through the Northumbria iSchool, which is one of only six iSchools in the UK. A hallmark of an iSchool is an understanding that expertise in all forms of information is required for progress in science, business, education and culture. This expertise must cover the uses and users of information, the nature of information itself, as well as information technologies and their applications.

Teaching And Assessment

Our teaching is linked to what you want to learn and also to what you need to learn in order to achieve greater success in information science. Our long established relationship with employers ensures that you receive the most relevant and up-to-date knowledge to bring innovation, relevance, ethical sensitivity and currency to all you do. There is an emphasis on learning by doing; coursework will include projects, portfolios of work, reports and presentations as well as essays. All this helps you to make sense of the subject, getting a clear understanding of important concepts and theories.

While some assessments contribute to your final grade, there are other assessments that are provided purely to guide your progress and reinforce your learning. You can expect both your tutors and your peers to provide useful comments and feedback throughout the course.

Module Overview
KC7013 - Database Modelling (Optional, 20 Credits)
KC7020 - Information Organisation and Access (Core, 20 Credits)
KC7021 - Statistics and Business Intelligence (Optional, 20 Credits)
KC7022 - Information Systems and Technologies (Core, 20 Credits)
KC7023 - Research Methods and Professional Practice (Core, 20 Credits)
KC7024 - User Behaviour and Interaction Design (Core, 20 Credits)
KC7025 - The library professional: management, leadership and outreach (Optional, 20 Credits)
KC7026 - Masters Dissertation (Core, 60 Credits)
KC7027 - Information and digital literacy (Optional, 20 Credits)
KC7038 - Recordkeeping Practice: Processes, systems and tools (Optional, 20 Credits)
KC7039 - Recordkeeping Principles: Theory and Concepts (Optional, 20 Credits)

Learning Environment

Northumbria uses a range of technologies to enhance your learning, with tools including web-based self-guided exercises, online tests with feedback, videos and tutorials. These tools support and extend the material that is delivered during lectures, and are available anywhere anytime. Group work and peer interaction feature prominently in our learning and teaching, this reflects the practices you’re likely to encounter within the working environment.

You will have 24/7 term-time access to Northumbria’s library, which has over half a million print books as well as half a million electronic books available online. Our library was ranked #2 in the Times Higher Education Student Experience Survey for 2015 and, since 2010, it has been accredited by the UK Government for Customer Service Excellence.

The University has advanced search software and database tools, including NORA Power Search that allows you to use a single search box to get fast results from across a wide and reliable range of academic resources. The use of such software and tools is an important aspect of our information science courses.

Research-Rich Learning

In fast-moving fields like information science it’s particularly important for teaching to take account of the latest research. Northumbria is helping to push out the frontier of knowledge in a range of areas including:
-Digital consumers, behaviours and literacy
-Digital socio-technical design
-Digital libraries, archives and records

As a student, you will be heavily engaged in analysing recent insights from the field of information science. You will undertake a major individual study that will require you to evaluate relevant literature as well as to develop your ideas within the context of existing research. Your study will be tailored to your particular interests but the underlying theme will be the relationships between information, people and technology. Many of our students publish their own research and present at professional and academic conferences, before or soon after graduating.

Give Your Career An Edge

This course is accredited by the Chartered Institute of Library and Information Professionals. This reflects the relevance of the curriculum, which is informed by contact with employers and close professional links. The following features of the programme were particularly commended by CILIP assessors:
-The way in which the programme had been developed to take account of the changing requirements of employers and feedback from students. The resulting course was particularly strong in the digital elements of information work, and in developing students’ transferable skills;
-The strong relationships with local employers and the active contribution which the department makes to the regional professional network;
-The areas of good practice reflected in the programme, such as the high level of support provided to distance learners, including dedicated library provision, and the use of innovative approaches to assessment.

The topics and activities in the course have a strong emphasis on employability. For example you will develop skills in how to analyse, monitor and evaluate user behaviour. You will also learn how to evaluate and use a range of appropriate technologies for solving problems and supporting decision-making in organisations. Your knowledge and practical skills will help you take a lead on research-informed approaches that give organisations and professionals a valuable advantage.

Your Future

Information science has an exciting future as massive increases in processing power transform the accessibility and utility of data. With an MSc Information Science, you can play a full and rewarding role in that future.

Employers are looking for information professionals who can develop new insights through mastery of their subject and critical scholarship. With your Masters qualification, you will be equipped to make a difference, advance your practice and make well-balanced judgements. You could work for a wide range of employers in the public, private and third sector, who need information scientists or you could consider freelance roles as a consultant. Your Masters qualification can also form the basis for further postgraduate studies at a higher level.

Read less
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.

Read less
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.

Read less
Decisions in society have important knowledge-related and ethical dimensions. They affect people's obligations, rights and liberties. Read more
Decisions in society have important knowledge-related and ethical dimensions. They affect people's obligations, rights and liberties. At the same time, they are often based on scientific findings. Studying reliable and responsible decision-making requires philosophical reflection from various perspectives: we have to reason about human rationality, morality, political institutions and the science/society interface.

The program adopts an interdisciplinary angle where cutting-edge philosophical research is inspired by findings from psychology, economics and cognitive science. Upon graduating, you will be an expert on ethical and epistemic aspects of social decision-making and you will be able to demonstrate how philosophical analysis contributes to solving societal challenges.

Moreover, the Tilburg University MA specialization in Philosophy, Science and Society offers you:
•Teaching by international and experienced faculty members. The lecturers in the Philosophy, Science and Society MA specialization have a strong international teaching record, including countries such as Belgium, Germany, Italy, the United States, and the United Kingdom. There are also guest lecturers from Australia, Canada and the US.
•At the forefront of international research. Your teachers are also internationally leading researchers. The Tilburg Center for Logic, General Ethics and Philosophy of Science (TiLPS), the philosophy department's research platform, regularly organizes international conferences, workshops and seminars that you are invited to attend free of charge.
•Research-Based Learning. Our MA program is in the forefront of current trends and reflects the commitment to include the most recent state-of-the-art approaches and developments in the field of philosophy. From the first day of your stay in Tilburg, you will be confronted with the latest philosophical research, and you will assist your teachers in developing and testing new research results.
•Innovative Methods. The program combines traditional philosophical methods (conceptual analysis, dialectical reasoning, case studies, thought experiments) with recently developed approaches, such as experimental philosophy, simulations and abstract modeling of philosophical problems.
•A Broad Range of Scholarships. There are several attractive scholarships to which you can apply, awarded at university, school or department level. They are open for European and non-European students alike.

Career Perspective Philosophy, Science and Society

Still think that a philosophy degree is not attractive to employers? That it is not your best career choice? Then have a look at these articles from major newspapers and magazines:
•The Atlantic: “Is Philosophy the Most Practical Major?”
•Huffington Post: “The Unexpected Way Philosophy Majors Are Changing The World Of Business”
•The Guardian: “What can you do with a degree of philosophy?”
•The Guardian: “I think, therefore I earn. The rise in stock of philosophy graduates”

True, a philosophy MA is not a Master of Business Administration. But it is a much better career choice than the cliché pretends. You acquire reasoning, analysis and argumentation skills that can be used in various fields and are highly valued by most employers. You are also trained in clear and persuasive writing, creative thinking and devising original solutions to hard problems. This gives you great flexibility in your job choice.

In addition, the Philosophy, Science and Society specialization makes you a genuine expert on human cognition, social decision-making and the interplay between science and society. This involves hot topics such as the ethics of science, risk assessment and the legitimacy of technocratic decision-making. This expertise is sought for in government agencies, research institutes and the private sector. Companies may be especially interested in your expertise in moral reasoning and the impact of moral factors on decision-making.
After graduating, you can also continue your career as an academic researcher who has already acquired an interdisciplinary background and who can apply for PhD positions in various fields.

Read less
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.

Read less
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.

Read less
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/pgfunding

Open Days

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

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

Read less
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.

Read less
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.

Read less
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.

Read less
The College of Liberal Arts and Sciences is a thriving center of intellectual excellence that encompasses 14 academic departments and 80 degree programs. Read more
The College of Liberal Arts and Sciences is a thriving center of intellectual excellence that encompasses 14 academic departments and 80 degree programs. Its more than 2,500 students are engaged in a wide variety of challenging courses and hands-on learning experiences that extend across all areas of the humanities and sciences – from the great philosophers and classic literature to the world economy and environmental sustainability.

At the core of each department are faculty members who have garnered national acclaim for their best-selling books, ground-breaking research and creative endeavors. Together, students and their professors explore globally significant subjects and work towards the goal of improving every aspect of the way in which human beings live. To learn more about a specific area of study, click on the left-hand navigation bar for a full listing of academic departments.

The department

As a political science or international studies major, you will examine worldwide political systems, economic systems, and social organizations from a variety of perspectives. You will engage in lively intellectual debates, learn how to develop persuasive arguments, and articulate your convictions with confidence and poise. You also will gain skills in research, analysis and critical thinking, which will ensure your marketability and success.

The Department of Political Science is very active in placing students in internships, including full-time, paid positions in the New York State Assembly and Senate in Albany in the spring of the students’ junior and senior years. Other internships are available to selected students in law offices, with judges, and at the United Nations.

Students are engaged in many extra-curricular activities, including the Political Science Association, the International Studies Association, the Pre-law Association, the Young Republican Club and Young Democrat Club. International Studies majors are active in the Model UN conferences held in New York City at which they have won several awards. Graduating seniors with excellent grade point averages may be eligible to be inducted into two national honor societies: Pi Gamma Mu and Pi Sigma Alpha.

M.A. in Political Science

The American system of self-government and political participation is one of the great stories of world history. From town and city councils to the Congress and the presidency, the institutions, political factions and social forces that drive our collective decision-making impact all of society and every individual. The 36-credit Master of Arts degree in Political Science at LIU Post examines domestic and foreign governments, the legislative process, the Constitution, government functions, and the role of governments and their impacts on people.

The graduate program offers a choice of four concentrations: American Government, Comparative Government, International Relations and Political Theory. Each concentration affords the student an in-depth examination of the fundamental forces, institutions and functions of public policy and governance. This program is ideal preparation for a wide range of careers or for doctoral study.

Read less
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/

Read less
Your studies on the course will cover the modules listed below. The practical aspects of many of the modules will allow you to gain hands-on experience of several commercial SAS tools (eg SAS BASE, Enterprise Guide, Enterprise Miner and Visual Analytics). Read more
Your studies on the course will cover the modules listed below. The practical aspects of many of the modules will allow you to gain hands-on experience of several commercial SAS tools (eg SAS BASE, Enterprise Guide, Enterprise Miner and Visual Analytics). That experience is designed, in part, to develop skills for the SAS certification that partners the programme.

Digital Innovation

The aim of this module is to develop knowledge and skills necessary for the implementation of digital business models and technologies intended to realign an organization with the changing demands of its business environment (or to capitalise on business opportunities). Example topics of study include: understanding and justifying change, change management, digital business models, managing technology risks, ethical issues in change.

Quantitative Data Analysis

The aim of the module is to develop knowledge and skills of the quantitative data analysis methods that underpin data science. You will develop a practical understanding of core methods in data science application and research (eg bi-variate and multi-variate methods, regression etc). You will also learn to evaluate the strengths and weaknesses of methods alongside an understanding of how and when to use or combine methods.

High Performance Computational Infrastructures

The aim of the module is to develop knowledge and skills necessary for working effectively with the large-scale data storage and processing infrastructures that underpin data science. Again, you will develop both practical skills and an ability to reflect critically on concepts, theory and appropriate use of infrastructure. Content here covers, highly-scalable data-storage paradigms (eg NoSQL data stores) alongside cloud computing tools (eg Amazon EC2) and in-memory approaches.

Systems Project Management

This module examines the challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relationship between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Big Data Analytics

The aim of the module is to develop the reflective and practical understanding necessary to extract value and insight from large heterogeneous data sets. Focus is placed on the analytic methods/techniques/algorithms for generating value and insight from the (real-time) processing of heterogeneous data. Content will cover approaches to data mining alongside machine learning techniques (eg clustering, regression, support vector machines, boosting, decision trees and neural networks).

Data Management and Business Intelligence

The aim of the module is to develop knowledge and skills to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the data warehousing environment, with a focus on emerging in-memory approaches.

Data Visualisation

The aim of the module is to develop the reflective and practical understanding necessary to visually present insight drawn from large heterogeneous data sets (eg to decision-makers). Content will provide an understanding of human visual perception, data visualisation methods and techniques, dashboard and infographic design and augmented reality. An emphasis is also placed on visual storytelling and narrative development.

Learning Development Project

The aim of the module is to develop a team-based integrative solution to a problem/challenge drawn from the business, scientific and/or social domain (as appropriate). Working as part of a small team you will: Refine a coherent set of stakeholder requirements from an open-ended (business, scientific or social) problem/challenge; develop a solution addressing those requirements that coherently draws upon the knowledge and skills of other modules within the programme; effectively evaluate the solution (with stakeholders where appropriate).

Dissertation (including Research Methods)

Your dissertation is an opportunity to showcase your project management and subject specific skills to potential employers, and also serves as valuable experience and a solid building block if you wish to pursue a PhD on completion of the MSc. You will be encouraged to critically examine the academic and industrial contexts of your research, identify problems and think originally when proposing potential solutions that serve to demonstrate and reflect your ideas.

Read less

Show 10 15 30 per page


Share this page:

Cookie Policy    X