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The M.S. in Criminal Justice trains individuals through an interdisciplinary focus in an online environment. The program prepares students through the core curriculum and allows for specialty training through various concentrations. Read more

The M.S. in Criminal Justice trains individuals through an interdisciplinary focus in an online environment. The program prepares students through the core curriculum and allows for specialty training through various concentrations.

This facilitates choice for students and fosters the development of specialized expertise. Students will complete the thirty hour program that includes core courses, specialty concentrations, and electives.

Proudly Offering the Valor Award 20% Scholarship for Law Enforcement, Veterans, Military, and First Responders

This program is designed for individuals looking for careers in or as:

  • Police Officer
  • County Sheriff / Deputy Sheriff
  • State Trooper / Highway Patrol Officer
  • Game Warden / Conservation Officer
  • Detective
  • Canine Officer / K9 Handler
  • Animal Cruelty Investigator
  • Park Ranger
  • FBI Special Agent
  • DEA Agent
  • Secret Service Special Agent
  • ICE Special Agent
  • Federal Air Marshal
  • Correctional Officer
  • Correctional Counselor
  • Parole Officer
  • Legal Assistant or Legal Researcher
  • Bailiff
  • Pre-trial Officer
  • Loss Prevention Officer - Loss Prevention Manager
  • Bounty Hunter - Bail Enforcement Agent
  • Public Safety Officer
  • Community Liaison Officer

To see a complete list of possible career options, click here.

Program Format

The master's program is offered entirely online. The online format allows for students to participate in courses from anywhere in the world where internet access is available. In addition, it allows for the flexibility of completing your master's degree without interrupting your career. For information on the online/residential bachelor's program, click here. For information on the online doctoral program, click here.

Master's students are provided NSU computer accounts including email and Blackboard, but must obtain their own Internet service providers, use their own computer systems and have a usable web camera. Online students use the web to access course materials, announcements, email, distance library services, subscription library databases, and other information, and for interaction with faculty and fellow students. Online, interactive learning methods are based on the use of Blackboard as a course management system. Online activities facilitate frequent student-to-faculty and student-to-student interaction. They are supported by threaded discussion boards, white boards, chat rooms, email, and multimedia presentations. In addition, Blackboard enables students to submit assignments online in multimedia formats and to receive their professors' reviews of assignments online in the same formats.

Curriculum

The Master's program is comprised of 30 credits. The core curriculum is comprised of five courses (15 credits) and one elective course (3 credits). The specialty concentrations are comprised of four courses (12 credits).

Core Courses (15 Credits)

  • CJI 0510 Survey Issues in Criminal Justice (3 credits)
  • CJI 0520 Social Administration of Criminal Justice (3 credits)
  • CJI 0530 Legal Issues in Criminal Justice (3 credits)
  • CJI 0540 Program Evaluation in Criminal Justice (3 credits)
  • CJI 0550 Investigative Processes (3 credits)

Specialty Concentrations (12 Credits)

Students must choose one concentration below and complete 12 credits within the concentration. (The concentrations remain the same)

Electives (3 Credits)

Students must choose one or a combination of electives below to obtain a total of 3 credit hours.

  • One, three (3) credit class
  • Practicum Placement (3, 6, or 9 Credit options)
  • Master's Thesis (6 Credits)


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This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Read more
This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Students completing this course will have a firm grasp of the current practices and directions in computer systems and will be able to design and build for example, distributed systems for the Web using Internet, Intranet and other technologies.

Programme Objectives
To provide the foundations for understanding of core ideas, methods and technologies in computer science.
To provide the technical skills and background material so that the postgraduate will be able to conduct a near state-of-the-art research or development project;
To provide the graduate with a range of specialist and transferable skills;
To provide the educational base for further professional development and lifelong learning.
Course Topics
Data networks and communications, project foundations and management tools, broadband communication systems, technologies for Internet systems, agent technologies and Artificial Intelligence, introduction to distributed systems and mobile systems, project and dissertation.

Taught Modules:

Java programming: This module provides students with an in-depth understanding of current and emerging Java programming concepts and programming variations. The module teaches the basic and advanced structures of Java and makes use of the object-oriented approach to software implementation. It also gives an in-depth understanding of advanced Java concepts in the area of user interfaces and will enable students to apply the theoretical knowledge of the Java language onto a test-case software development scenario.

Introduction to distributed systems: This module will introduce key ideas in distributed Systems and its role and application in operating systems and middleware. On completion of this module students will have an understanding of the key issues for distributed systems at OS level or as middleware, they will understand core concepts of concurrency, be able to program multithreaded and distributed applications and understand the issues and use of algorithms for transactional systems.

Data networks and communications: This module will provide an in-depth understanding of how real communication networks are structured and the protocols that make them work. It will give the students an ability to understand in detail the process required to provide an end-to-end connection.

Technologies for Internet Systems: In this module, students will be introduced to state of the art technologies and tools for Internet Systems and in particular e-commerce systems.

Agent Technologies: This module provides an in-depth understanding of technologies from Artificial Intelligence research such as machine learning, data mining, information retrieval, natural language processing, and evolutionary programming. It will look at the application of agent-oriented technologies for Artificial Life, for building Web search engines, for use in computer games and in film (such as the MASSIVE software developed for the Lord of the Rings movies), and for robotics. It will also provide an introduction to agent-oriented programming using the NetLogo programming language.

Foundations of computer graphics: This module will teach techniques, algorithms and representations for modelling computer graphics and enable students to code 2D and 3D objects and animations.

Database systems: Students completing this module will gain an in depth understanding of DBMS/Distributed DBMS architecture, functionality, recovery and data storage techniques. Students will also have a full understanding of how queries are processed and the importance of database maintenance. This module is designed to enable students to perform research into one or two areas of databases; for example, object oriented databases and deductive databases.

Project foundations and management tools: This module prepares students for their MSc research project, including reference search and survey preparation and familiarisation with project management tools.

MSc Research project: After the successful completion of the taught component of the MSc programme, students will spend the remainder of the time undertaking a research project and producing an MSc Dissertation. During this process, students will conduct project work at state-of-the-art research level and to present this work as a written dissertation. Completing a project and dissertation at this level will train students in: problem solving; researching new topics; organizing knowledge; exercising elementary time and project management skills; reporting and writing skills.

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What is intelligent behaviour? How can robots communicate with each other? In this programme you will learn how to design and implement intelligent systems. Read more
What is intelligent behaviour? How can robots communicate with each other? In this programme you will learn how to design and implement intelligent systems.

The core topics in The Master's programme Artificial Intelligence are: autonomous perceptive systems, cognitive robotics and multi-agent systems.

- Autonomous Systems
A robot taking samples and collecting information on the moon is an example of an autonomous system. It operates and carries out missions independently. Regardless of their surroundings, it responds with a certain intelligence. While traditional AI focuses on cognition and reasoning as isolated abilities, we strongly believe in perception as an active behavior, which is integrated into general cognition.

- Cognitive Robotics
The courses taught in the area of cognitive robotics are related to research in social robotics, to the origin of robotic communication and to the way in which robots recognize movement. Research is conducted at the Artificial Intelligence and Cognitive Engineeringinstitute.

- Multi-agent Systems
When a team of robots play footbal they have to communicate and cooperate with each other. This is an example of a multi-agent system. When designing these systems, techniques from computing science and logic are combined with knowledge about the interaction amongst humans and animals.

Why in Groningen?

- Be part of a Programme with excellent reviews
- Challenging graduation projects

Job perspectives

Once you have obtained your Master's degree in Artificial Intelligence, you can apply your skills in research & development, for instance air traffic and space labs, where you make sure that intelligent and innovative technologies are used during the design process. You could also choose to get a job at a research institute where you work as a researcher. This can be done at a university (PhD) or at a research institute like TNO. About 50% of our students chooses a career as a scientist.

Where do graduated master AI students work at the moment? Maarten van Grachten and Mathijs Homminga did the AI master in the old doctoral program and they specialized in very different directions. Mathijs works as a software engineer at the IT-company Evermind. He programs and implements innovative IT-projects for shops. Maarten is doing a PhD in Barcelona where he investigates how a computer can compose jazz music.

Job examples

- Industrial Research & Development
- PhD research position
- Software engineer

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The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today's markets. Read more

The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today's markets. This will provide students with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics, and agent-based modelling. These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and crypto-currencies. The programme is highly practical, and students will have the opportunity to apply their learning to real-world data and case studies in hands-on laboratory sessions.

Key benefits

  • An understanding of modern financial technology (FinTech) including electronic trading and distributed-ledger technology.
  • Practical hands-on techniques for working with and analysing financial data, which draw on modern developments in Artificial Intelligence and Big Data technology.
  • The opportunity to understand the practical aspects of quantitative finance and FinTech from Industry experts located in the heart of one of the World’s financial centres.

Description

Computational Finance studies problems of optimal investment, risk management and trade execution from a computational perspective. As with any engineering discipline, computational finance analyses a given problem by first building a model for it and then examining the model. In computational finance, however, our model is typically analysed by running computer programs, rather than solving mathematical equations. In addition to standard computational methods such as Monte-Carlo option pricing, you will also learn more advanced modelling techniques such as agent-based modelling, in which the model itself takes the form of a computer program.

The programme will provide a foundation in the core skills required for successful risk management and optimal investment by giving a grounding in the key quantitative methods used in finance, including computer programming, numerical methods, scientific computing, numerical optimisation, and an overview of the financial markets. You can then go on to study more advanced topics, including the market micro-structure of modern electronic exchanges, high-frequency finance, distributed-ledger technology and agent-based modelling.

Career prospects

Students are expected to go in to careers such as Investment Banking, Hedge Funds and Regulatory Bodies.  



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Become an analytically skilled 'agent of change'. Read more

Become an analytically skilled 'agent of change'

How do gender, race, class, sexuality and age contribute to the formation of social identities? What role do ensuing power differences between these factors play in our globalised and mediatised world? What measures have been taken, in the past and the present, in order to prevent discrimination and exclusion? And how do academic, cultural, artistic, journalistic, and policy-making institutions respond to these societal challenges?

Emancipation, the recognition of differences, and awareness of intersections of gender with other factors of identity making (class, race, age, sexuality, etc.) are crucial tools in analysing social and cultural relations in today’s postcolonial and post-secular societies. Our Master’s programme in Gender Studies provides you with an interdisciplinary understanding of these tools, as well as advanced analytical skills. You will be trained within an internationally diverse cohort of students and academic staff to become a professionally successful 'agent of change'.

Theory and practice

Your education in gender studies will combine theoretical knowledge with its practical application in all parts of the programme. You will develop research skills through intensive coursework and participate in an internship that combines your subject matter interests with professional experience. Theory and practice come together in your final thesis project, which serves to synthesise your one-year experience in gender studies at Utrecht University.

After completing this one-year programme, you will be able to develop sustainable perspectives for future research and action, and have the motivation and knowledge to implement these perspectives in emancipation policies, diversity management, social and cultural initiatives, and political activism.

After graduation

After graduation, you will have advanced knowledge of and insight into the field of women’s and gender studies. You will be an expert on factors of identity making such as gender, class, race, age, and sexuality. You will also have the academic skills to:

  • Explore social and cultural relations in today’s globalised societies, in an interdisciplinary manner.
  • Develop and implement sustainable perspectives in emancipation policies, diversity management, cultural initiatives, and political activism.
  • Critically investigate power differences and processes of inclusion/exclusion, discrimination, and emancipation.
  • Reflect on how academic, cultural, artistic, journalistic, and policy-making institutions respond to societal challenges.
  • Consider postcolonial and postsecular contexts in your work.

In addition, you will be able to reflect on your course work and further develop your professional practices during your internship. You will then employ these practices in a theory based academic thesis.

The insights from gender studies and emancipation research are useful to a growing number of organisations and companies seeking to develop and/or critically reflect upon policies to effectively intervene on behalf of specific target groups and market segments.



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Intellectual Property Law has become an interdisciplinary field comprised of law, engineering, medical science, economics, and numerous other fields. Read more

Overview

Intellectual Property Law has become an interdisciplinary field comprised of law, engineering, medical science, economics, and numerous other fields. The MSc in Management of Intellectual Property explores the foundations of this area of law with relation to patents, trade marks and the other core areas within this field.

This Masters of Science is primarily aimed at science and engineering graduates who wish to pursue a career as patent or trade mark attorneys, though it is also open to graduates from all academic backgrounds who wish to study Intellectual Property (IP) at postgraduate level.

There is continued need for expertise in intellectual property law and management in industry, commerce and the innovative and creative industries, and this MSc gives you the opportunity to study IP to a high level. The programme offers a professional stream (for science and technology graduates), and a business stream, available to graduates from all fields looking to expand their knowledge of the application and management of IP.

Professional stream
The professional stream is directed towards graduates (primarily sciences and other technical industries, but also from all other backgrounds) seeking qualification as patent and trade mark attorneys.

Business stream
Students on the business stream will gain profound knowledge of the law and its operation with a view to working in areas such as the press and media, the entertainment industry, the internet and software industries, or the luxury goods industries. Further sectors where knowledge in Intellectual Property and related areas is seen as a particular advantage include governments, international organisations, universities or non-governmental institutions.

This programme will:
◦Give you a choice of two streams to suit your background; a professional stream for science and engineering graduates, and a business stream for graduates of other disciplines.
◦Offer science and engineering graduates the opportunity to gain professional exemptions from Chartered Institute of Patent Attorneys (CIPA) and Institute of Trade Mark Attorneys (ITMA).

What is Intellectual Property (IP) law?

Intellectual Property Law has become an interdisciplinary field comprising law, engineering, medical science, economics, and numerous other fields. This programme teaches the foundations of this area of law with relation to patents, trademarks and the other core areas within this field.

Why study Intellectual Property law?

The MSc Management of Intellectual Property programme was developed as we recognised the increasingly important role of intellectual property in our modern economy. There is an emerging need in industry, in commerce and in those professions concerned with intellectual property law, for science and technology graduates who have studied intellectual property law to a high level. In industry, particularly in small and medium-sized firms involved in research and development, where there is no in-house lawyer or patent agent, there is often a need for an intermediary between the firms and the external lawyer or patent agent for example; or for an executive to handle the inward or outward licensing of technology, to negotiate research and development contracts (where ownership of intellectual property is usually central to the bargaining) or generally to have a basic knowledge of current developments in the field of business law (eg. contract law, product liability law) insofar as these may relate to the firm's present or future activities.

With the introduction of the new business stream we also offer a distinct avenue for graduates from all backgrounds to gain valuable knowledge of intellectual property.

Structure of the MSc in Management of Intellectual Property

Classes usually commence mid-September with examinations in May/June. Courses are taught during the day at Queen Mary University of London campuses and usually take place between 9.00am and 5.00pm.

There is an initial Basic English Law examination which takes place two weeks after the start of the programme. Students then select which stream they wish to undertake.

Compulsory modules:

◦Study project (45 credits)
◦Basic principles of English law, evidence and practice (non-credit bearing but all students must pass this module at the start of the programme)

All students require 180 credits in total.

Professional stream students have core modules plus one free choice half module of 22.5 credits. In addition to this, professional stream students also sit two additional papers to gain exemption from the foundation papers of CIPA and ITMA, both papers must be passed to gain the exemption for either institution.

Business stream students have a free choice of 135 credits (three full modules or six half modules, or a combination of the two.)

All students are required to study the core subject units: Patent law, Copyright and designs law, Law of trade marks and unfair competition, Competition law, and Basic principles of English law, evidence and practice in term one. Occasional additional second semester options may be available.

]]Modules:]]

Read the full module descriptions on the QMUL web site.

Modules which run annually:
◦The law of copyright and design I (Compulsory for Professional stream)
◦The law of patents I and II (Compulsory for Professional stream)
◦Trade mark law I and II (Compulsory for Professional Stream
◦Study Project (Core Module for all students)
◦The law of competition I
◦Media law
◦Trade mark law I
◦The law of patents I
◦Intellectual property in food, biotechnology and agriculture
◦Intellectual property in the United States.

Modules which may run but cannot be guaranteed:
◦Competition law and licensing I and II
◦The law of copyright and design I and I
◦Information technology law
◦Intellectual property transactions
◦Licensing practice.

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This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of research methods to enable them to operate effectively in the application of computing in industry, commerce or research. Read more
This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of research methods to enable them to operate effectively in the application of computing in industry, commerce or research. Students with an interest in topics covered by our research teams will find this is an excellent opportunity to get involved in progressive research.

Why study MSc Computing Research at Dundee?

The MSc Computing Research degree is designed for graduates with a good degree in Computing or a related subject who wish to gain deep knowledge of research methods and experience of working in an active research environment.

The School of Computing provides a distinctive, balanced and enjoyable learning environment, matched to the future needs of both society and the computing field. Its research has strong foundations in mathematical and logical techniques, and in probabilistic and machine learning algorithms that are applied in its work on computer vision and multi-agent systems. In its applied research, the multi-disciplinary School has an international reputation in computer support for older and disabled people, healthcare computing, space systems and interaction design. All these areas of research have been developed through strong, long-term relationships with other leading academic institutions worldwide, and in collaboration with professional and industrial partners. The School is also active in commercialising its research, with several recent spin out companies fostering an entrepreneurial atmosphere.

The School of Computing has four major research groups:
Assistive and Healthcare Systems
Computational Systems
Interactive Systems Design
Space Technology Centre

What's so good about MSc Computing Research at Dundee?

The University of Dundee is at the forefront of computing research. We currently have 23 academics and 35 researchers working alongside our 27 PhD students. Since January 2008 our school of computing has generated 313 publications and counting. In this time, we've produced 129 projects totalling more than £12.3 million in funding making Dundee a great place to come to engage in computing research.

We encourage a professional, inter-disciplinary and user-centred approach to computer systems design and production, and will enable you to develop the skills so that you can undertake independent research and participate in proposal development and innovation.

Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Postgraduate culture

The School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

How you will be taught

We know how important it is to be at the leading edge of computing and so you will learn from research-active staff in the School of Computing. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

What you will study

You study three taught modules, during the period January-March, making your module selections with your advisor, as follows:
Computing Research Frontiers
One of: Designing Innovative Research OR Research Methods
One of: Human Computer Interaction OR Multi-agent Systems and Grid Computing

Subject to examination performance, you then progress to the individual research project which runs from May to December. You will be based with one of the research groups within the School of Computing:

Assistive & healthcare technologies
Computational systems
Interactive systems design
Space technology centre

How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in March/April. The project is assessed by dissertation.

Careers

Our students are highly employable:
They develop the expertise that employers want from computing graduates - our Industrial Advisory Board includes experts from a range of industries including Amazon, Scottish Enterprise Tayside, NCR, Chevron and Microsoft
They are prepared for a wide range of good career prospects in computing - the UK faces a massive shortage of graduates qualified to fill the 120,000 new jobs in computing and IT every year

Graduates may also choose to continue to a PhD in the School of Computing or elsewhere.

Computing at the University of Dundee is ranked 21st in the UK according to most recent Times Good University Guide and 12th in the UK according to the Guardian University League Table 2009. The University of Dundee has powered its way to a position as one of Scotland's leading universities with an international reputation for excellence across a range of activities. With over 18,000 students, it is growing fast in both size and reputation. It has performed extremely well in both teaching and research assessment exercises, has spawned a range of spin-out companies to exploit its research and has a model wider-access programme.

Dundee has been described as the largest village in Scotland which gives an indication of how friendly and compact it is. With a population of 150,000 it is not too large but has virtually all the cultural and leisure activities you would expect in a much larger city. It is situated beside a broad estuary of the river Tay, surrounded by hills and farmland, and for lovers of the great outdoors it is hard to imagine another UK location that offers so much all year round on land and water. The University is situated in the centre of Dundee, and everything needed is on the one-stop campus: study facilities, help, advice, leisure activities... yet the attractions of the city centre and the cultural quarter are just a stroll away.

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The Web Intelligence MSc aims to provide you with the knowledge and skills to solve challenging computational problems related to advanced reasoning systems for the internet. Read more

The Web Intelligence MSc aims to provide you with the knowledge and skills to solve challenging computational problems related to advanced reasoning systems for the internet. It will give you a broad understanding of web intelligence and a thorough knowledge of techniques for developing intelligent software. 

Key benefits

  • Located in central London giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • Opportunities to explore the fundamental roles and practical impacts of the use of artificial intelligence techniques in advanced computing.
  • Key study areas include fundamental internet technologies with complementary aspects of artificial intelligence, algorithmic issues on the web, and agents and multi-agent systems.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in web intelligence and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Web Intelligence MSc will provide you with the practical knowledge and expertise to evaluate, design and build intelligent software for the internet. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from a research project and dissertation of 10,000 words. You will study Artificial Intelligence, Agents and Multi-agent Systems as well as Software Engineering of Internet Systems. There are also opportunities to explore a broad range of optional modules allowing you to develop a study pathway that reflects your interests.

Course purpose

A graduate in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will provide you with the practical knowledge and expertise to enable you to evaluate, design and build intelligent software for the web. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

You are expected to spend approximately 150 hours of effort (i.e. about 10 hours per credit) for each module you attend in your degree. These 150 hours cover every aspect of the module: lectures, tutorials, lab-based exercises, independent study based on personal and provided lecture notes, tutorial preparation and completion of exercises, coursework preparation and submission, examination revision and preparation, and examinations.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed through a dissertation. 

Career prospects

Our graduates have continued on to have very successful careers in industry and research. Recent employers have included general software consultancy companies, specific software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Some graduates have entered into the field of academic and industrial research in software engineering, bio-informatics, algorithms, artificial intelligence and computer networks.



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The financial crisis and global recession have triggered a search for new perspectives in economics training that can deal with the challenges posed by highly interconnected and globalised financial and industrial organisations. Read more
The financial crisis and global recession have triggered a search for new perspectives in economics training that can deal with the challenges posed by highly interconnected and globalised financial and industrial organisations. Our course provides a revolutionary way to address the many issues raised in macroeconomics and financial regulation.

By using a multi-agent computational and simulation modelling approach to complement your work in statistics and econometrics, you investigate a wide array of economic phenomena that can also aid in policy design. You will be given laboratory based instruction to build a range of agent based models that include systemic risk analysis with financial networks and market micro-structure of stock markets.

We are top 5 in the UK for research, with over 90% rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

Our course has a strong policy orientation and operational content. It will appeal to those aiming to pursue careers in regulatory institutions, financial modelling, the civil service and real-world problem solving, or would also be an excellent stepping stone for those wishing to progress into further research.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

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Education for Sustainability (EfS) is a distance learning postgraduate course at Masters level delivered by a team of experts. Read more
Education for Sustainability (EfS) is a distance learning postgraduate course at Masters level delivered by a team of experts. The course provides personal and professional development for those interested, or already engaged, in paving the way for a more sustainable world by way of understanding, educating or promoting sustainability. The unique structure of distance learning enables international students to gain a globally recognised qualification from the UK.

Although many of our students are educators or NGO educational, training or campaigning staff, we also draw students from many other backgrounds, including health, media, business, government, botanical and zoological work.

6 reasons to study here

1. Comprehensive resources: our online resources and library will ensure you have the most up to date research.
2. Great staff: a number of experienced and research active academics to support your learning.
3. Track record: a unique and dynamic course established for over two deades in respionse to our changing world.
4. Career transforming: alumni of this course have used it to gain promotion or change careers.
5. Distance learning: the flexibility to study this course anywhere in the world.
6. Growing popularity: sustainability is a growing focus for countries globally, so this will equip you with vital skills.

Our passion for a sustainable future

Developed in partnership with the World Wide Fund for Nature (WWF), Oxfam and the EU, the course draws on the expertise of environmental and development NGOs as well as the educational community. It deals with the theory and practice of sustainability and enables you to explore and expand the role that EfS can play in educational, social, political and economic change.

Internationally recognised

Since its launch in 1994 this internationally recognised and innovative award has embraced and promoted diversity and inclusion. Our roots lie in the 1992 UN Earth Summit in Rio, Brazil, and EfS, the first ever masters programme of this kind, provides a dynamic interface between theory and practice in EfS and promotes the integration of environmental and development concerns in the emerging concept of sustainability while emphasising the importance of education's role in building a sustainable world.

The EfS course at LSBU has been instrumental in the development of LSBU as a United Nations Regional Centre of Expertise in Education for Sustainable Development. It offers many unique qualities that will enhance your international experience and introduce you to like-minded professionals making a difference around the world.

Modules

All modules make use of case studies and readings from a range of global regions and are designed to be applicable to any type of educational or country context.

• An Introduction to education for sustainability
• Values and participation in EFS; from local to global
• Leadership, learning and climate change: the sustainability revolution
• Theory and perspectives on environment and development
• Science and culture in education for sustainability
• Researching education for Sustainability
• Dissertation (MSc only)

Teaching and learning

We aim to help you become an effective agent for positive change in learning and education relevant for sustainability. We do so by enquiring into the kind of learning for change in personal, social and ecological spheres that is needed to help understand, develop and promote sustainability. When you complete our programme, you will have achieved the personal and professional development required to be an effective agent for change.

Flexible study options

The course may be studied either full-time at LSBU, or part-time by distance/flexible learning. The part-time distance learning mode is particularly suitable if you are living overseas or working or who find it difficult to attend a traditional course. Students studying part-time by distance/flexible learning based in their home country are not required to apply for a visa. It is also possible to start by signing on for a short course (two modules). Many students start with the short course and then decide to continue for a further award.

Course structure

Sessions are delivered through distance learning and web activities with optional - Monthly Saturday day schools Fast Track - Monthly Saturday day schools.

Learning resources

In an emerging field like EfS the interface between theory and practice is even more important. Theory informs practice and practice in turn nourishes theory. That's why our course materials undergo continuous review and updating. Networking is an essential element for us to consolidate our premier position as a theory-practice interface in EfS. The Blackboard e-learning system used by our programme's provides a platform for students and tutors to learn, discuss and debate various aspects related to EfS, regardless of their location.

You'll receive all the materials they need for independent study within a set timescale, which includes:

• A Study Guide to introduce the key themes, debates and theories
• A Course Reader with specialist key texts
• Supplementary material (e.g. additional written material or DVD)
• Access to the EFS blackboard website for online learning opportunities

Assessments

All assessment is through written coursework. For example, essay writing, report writing, programme design or research studies.

Professional links

The London Regional Centre of Expertise EFS (RCE) is hosted by London South Bank University and closely linked with the EFS programme. Partners are drawn from a wide range of organisations including conservation groups, development education centres, universities and colleges, ethical business organisations, community groups. This provides opportunities for placements and projects as well as the chance to be part of a global learning space with over 130 RCEs. The centre is accredited by the UN University Institute for Advanced Study of Sustainability and also hosts seminars and conferences. The programme is enriched by EFS expert tutors who are practitioners in the field.

The programme runs an annual conference with recognised key note speakers in the field of EFS.

Employability

Employers have found that the programme has enabled students to develop and enhance work practices in the light of current theories and debates. This has led to a number of organisations sponsoring their staff to do the programme as a means of capacity building and staff development. Many EFS graduates have gone onto gain promotion, career advancement or have made use of the course to change their career direction.

Sustainability skills are an important career asset in the 21st century and this qualification has been recognised by employers, such as news media, National Environment Management Agencies, government ministries, schools, environmental and development NGOs. EFS graduates have gone onto gain promotion, career advancement or have made use of the course to change their lives or career direction. Examples of graduate jobs include education adviser UNICEF, Director of Communications, Transition Town volunteer organiser, Environmental News editor, education director botanic gardens, curriculum manager, schools’ inspector.

The quality of the course has been endorsed by the UK Commonwealth Scholarship Commission which has awarded over 100 of scholarships. A number of organisations, such as World Wide Fund for Nature and Oxfam have also sponsored their staff to do the programme as a means of capacity building and staff development.

The course provides the following transferable skills, which are valued by employers:

• Effective communication
• Ability to apply theory to practice
• Understanding and managing change
• Problem solving and strategic planning
• Critical thinking
• Holistic thinking
• Curriculum leadership skills.

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The MA Performing Arts. Creative Practice and Leadership develops your capacity to create and lead projects in the performing arts. Read more
The MA Performing Arts: Creative Practice and Leadership develops your capacity to create and lead projects in the performing arts.

From Shakespeare to hip hop theatre and dance, you are encouraged to engage with and reconceptualise classical, avant-garde, contemporary and global practices into distinct and innovative practical work.

You will enhance your understanding of the exciting and varied approaches to work in this key sector of the creative industries, while also considering the specific challenges that face emerging leaders in this field.

Reflecting upon your own artistic viewpoint you will explore the role of the arts in today’s complex societies and the implications from your practise.

You will be encouraged to develop as an agent of innovation in professional and/or community contexts, fostering your capacity to both lead performing arts projects and to work collaboratively.

Visit the website: https://www.beds.ac.uk/howtoapply/courses/postgraduate/next-year/performing-arts-creative-practice-and-leadership#entry

Course detail

• Study with the University’s team of performing arts professionals, visiting artists and facilities that include a professionally theatre.
• Engage with lecturers who draw on their research into, and experience of, creative practices to facilitate your reflections upon the role of performing arts today to refine your own artistic vision.
• Develop as an agent of innovation in professional and/or community contexts, fostering your capacity to both lead performing arts projects and to work collaboratively.
• Explore a unique approach that places the emphasis on practice as the focus for critical reflection and development.
• Benefit from our links with professional networks locally, nationally and internationally as you work towards your final project where you present the culmination of your studies in the manner that best represents your approach to performing arts.
• Benefit from the expertise of performing arts professionals
• Gain from opportunities to present your choreographic or theatre based explorations in our professionally equipped theatres
• Explore practices at the boundaries of theatre making and choreography
• Learn how to engage people in your work and to access new opportunities
• Develop your skills in leadership, networking, project management and collaboration

Modules

• Researching Performance
• Performing Arts Research Project
• Performing Artists and Communities
• Project Planning and Leadership for Performing Artists
• Inter-professional Working Project
• Choreographic Research or Contemporary Theatre Making
• Somatic Practices or The Dancing Mind: Dance Psychology or
• Performance for Inclusion and Diversity

Assessment

Assessment of practice mirrors professional working environments and expectations as far as possible, and tests skills and abilities as a means of enhancing and preparing you for the demands of future employment.

Assessments are designed to help you acquire professionally equivalent skills and abilities, while also promoting and testing your independent critical thinking to develop you as a reflective and articulate artist and researcher as well as an independent and confident future leader.Methods of assessment typify expectations of postgraduate study in advanced performance and include: public and in-studio performances, presentations, oral examinations, literature reviews, essays, and portfolio.

This range and diversity of testing offers opportunities for you, and for the staff team, to explore your relative strengths and weaknesses, and to respond positively to individual challenges through a supportive and personalised learning environment.

Careers

You will be equipped to develop and promote projects and to apply for opportunities in the performing arts suited to your particular skills and abilities. Depending upon your choice of electives these may include:

• Performer: independent/freelance performer Interdisciplinary Performance Practitioner: collaborative and interdisciplinary performance work, self-generated performance-based practice

• Choreographer: independent dance maker/artist, choreographer to specific brief and/or group/project, collaborative artist in interdisciplinary projects

• Director/Theatre maker: independent theatre director and theatre maker

• Educator: lecturer/teacher/leader in a range of formal HE, FE and schools context, in addition to freelance work in wider community and professional environments

• Independent Portfolio Worker in the Creative Industries: consultant and researcher

Previous graduates from the University of Bedfordshire courses currenl work as directors of their own companies, entertaininers, workshop leaders and lecturers.

Funding

For information on available funding, please follow the link: https://www.beds.ac.uk/howtoapply/money/scholarships/pg

How to apply

For information on how to apply, please follow the link: https://www.beds.ac.uk/howtoapply/course/applicationform

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Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science. Read more
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science.

Furthermore, we are home to the Centre for Research in Social Simulation (CRESS) and its world-leading expertise in agent-based modelling.

PROGRAMME OVERVIEW

Interest in simulation has grown rapidly in the social sciences. New methods have been developed to tackle this complexity. This programme will integrate traditional and new methods, to model complexity, evolution and the adaptation of social systems.

These new methods are having an increasing influence on policy research through a growing recognition that many social problems are insufficiently served by traditional policy modelling approaches.

The Masters in Social Science and Complexity will equip you to develop expertise in the methods necessary to tackle complex, policy-relevant, real-world social problems through a combination of traditional and computational social science methods, and with a particular focus on policy relevance.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time over two academic years. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Field Methods
-Computational Modelling
-Theory Model Data
-Modelling the Complex World
-Policy Modelling
-Theory and Method
-Statistical Modelling
-Evaluation Research
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for 
 students going on to employment involving the use of social science and policy research
-Provide training that fully integrates social science, policy modelling and computational methodologies to a high standard
-Provide training resulting in students with high quality analytic, methodological, computational and communication skills

PROGRAMME LEARNING OUTCOMES
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Develop skills in tackling real world policy problems with creativity and sound methodological judgment
-Cover the principles of research design and strategy, including formulating research 
questions or hypotheses and translating these into practicable research designs and models
-Introduce students to the methodological and epistemological issues surrounding research in the social sciences in general and computational modelling in particular
-Develop skills in programming in NetLogo for the implementation of agent-based models for the modelling of social phenomena
-Develop skills in the acquisition and analysis of social science data
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation ofresearch results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, stakeholders, policy makers, professionals, service users and the general public

Knowledge and understanding
-Show advanced knowledge of qualitative, quantitative and computational methodologies in the social science
-Show advanced knowledge of modelling methodologies, model construction and analysis
-Show critical understanding of methodological and epistemological challenges of social science and computer modelling
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show understanding the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge in data collection, analysis and data driven modelling
-Show advanced knowledge of policy relevant social science research and modelling
-Show advanced understanding of the policy process and the role of social science and modelling therein
-Show advanced knowledge of statistical modelling

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Conceptual development of Social Science and Complexity models to creatively enhance the understanding of social phenomena
-Integration of qualitative, quantitative and computational data
-Judgement of problem-methodology match
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of traditional and computational techniques employed in sociological research
-Ability to produce well founded, data driven and validated computational models
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Ability to communicate research findings models in social science and policy relevant ways
-Ability to manage independent research

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Apply computational modelling methodology to complex social issues in appropriate ways
-Creativity in approaching complex problems and a the ability of communicating and justifying problem solutions
-Apply computing skills for computational modelling, research instrument design, data analysis, and report writing and presentation
-Work to deadlines and within work schedules
-Work independently or as part of a team
-Demonstrate experience of a work environment

PLACEMENTS

On the MSc Social Science and Complexity, we offer the opportunity to take a research placement during the Easter vacation. This will provide you with first-hand experience of real-life policy research in action.

Organisations in which placements might be possible are a number of consultancies (e.g. Sandtable), government departments (e.g. Defra) and academic research centres (e.g. Centre for Policy Modelling at Manchester).

CAREER OPPORTUNITIES

Computational methods and especially computer-based simulations, are becoming increasingly important in academic social science and policy making.

Graduates might find career opportunities in government departments, consultancies, government departments, consultancies, NGOs and academia.

GLOBAL OPPORTUNITIES

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

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

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The increasing integration of technology into our lives has created unprecedented volumes of data on everyday social behaviour. Read more

The increasing integration of technology into our lives has created unprecedented volumes of data on everyday social behaviour. Troves of detailed social data related to choices, affiliations, preferences and interests are now digitally archived by internet service providers, media companies, other private-sector firms, and governments. New computational approaches based on machine learning, agent-based modelling, natural language processing, and network science have made it possible to analyse these data in ways previously unimaginable.

This is a chance to develop skills in computational techniques alongside a strong grounding in the principles and practice of contemporary social research. The programme’s quantitative methods training will help you harness complex data and use them to explore social theories and fundamental questions about societies. The programme’s theoretical and substantive training will introduce you to the principles of social inquiry and theories of human behaviour, and help you apply your technical skills to pressing social issues such as ethnic segregation in schools, income inequality, entrepreneurship, political change, and cultural diffusion.

Programme structure

During your first year you gain perspectives on the philosophy of social science, primers in the science of human decision-making, and frameworks for connecting individual behaviours to outcomes in social systems. You will also learn to apply advanced computational methods–including discrete choice modelling, social network analysis, agent-based simulation, and machine learning—to draw inferences about micro-level behaviours and macro-level outcomes.

With these building blocks in hand, you spend the third semester assembling critical knowledge of key theories and contemporary research in areas relevant to academic social science, government, and industry. During the third semester, you also have the option to study abroad at a partner institution.

In the final semester, you integrate the knowledge, skills, and theoretical approaches garnered in the first three semesters by writing a master’s thesis. As part of your thesis you conduct your own, original, computational research addressing a social scientific topic of your choosing.



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The innovative Business Information Systems course provides you with sound, theoretically informed and relevant knowledge of modern information and communications technologies and its use in key business and organisational settings. Read more
The innovative Business Information Systems course provides you with sound, theoretically informed and relevant knowledge of modern information and communications technologies and its use in key business and organisational settings. This course is open to those who have not studied management or technology based qualifications previously.

The course has been designed to:
- Respond to the increasing need for greater understanding of the role advanced information and communication technologies plays in the workplace and at home.

- Address the need for managers to understand and appreciate the strategic value of technologies and processes as a source of competitive advantage, both nationally and internationally.

- Enhance learning, employability and reflexivity in line with international educational standards.

Jointly taught by the School of Management and the Department of Computer Science, you will have the opportunity to study a range of elective units, including those from our world-renowned Information Security Group.

See the website https://www.royalholloway.ac.uk/management/coursefinder/mscbusinessinformationsystems.aspx

Why choose this course?

- This programme is a unique joint hybrid offer of courses run by the School of Management and the Department of Computer Science.

- You will explore up-to-date research into new ways of working, enabled by advanced information and communications technology and its profound impact on organisational life in general.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Directly relevant to current business sectors and technology

- Our students come from an international community and with interdisciplinary qualifications and experience. They graduate as ‘hybrid’ managers, equally familiar with business and with technology aspects of modern organisations.

- Technological and business components are integrated to provide a sound, cross-discipline course.

- Teaching incorporates a mix of theory and practice in lectures and in practical, interactive sessions to provide you with the best grounding for post-study employment.

Department research and industry highlights

- There is a high degree of industry involvement in this course. Participant companies include Hewlett Packard, IBM, Enterprise-Rent-A-Car and Arup Communications. These companies take an active interest in the course and form part of the panel that judges end of year student industry project presentations. We also involve other companies as guest lecturers in our sessions and enable our students to get to use latest communication technologies from companies like Tandberg.

- Staff members teaching in this course have undertaken consultancy in the areas of e-government and green IT. They also conduct research in cloud computing, agent technology, artificial intelligence, human computer interaction and others, often involving the course students.

Course content and structure

You will study six core units and and one elective units in Management and one or two in Computer Science over the first two terms. In the third term you will complete a dissertation, giving you the opportunity to analyse a complex problem by combining knowledge of both management and information technologies.

On completion of the course graduates will have:

- the ability to evaluate critically current research and research methodologies within the fields of Management and Business Information Systems and Technologies

- the ability to apply critical methodologies in analysing Management and Business Information Systems and formulating effective solutions to relevant problems concerning IT systems planning and management

- the ability to make well-informed decisions when dealing with both tactical and and strategic issues of IT investment

- appropriate professional levels of attainment in information technology; production and analysis of quantitative data; oral and written communication of complex business information to both professional and non-specialist audiences; independent and team-working skills.

Assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different business information systems-related areas, including:
- Business Analyst at Ford Motor Company

- Information Security Consultant at Barclays

- SAP HR Functional Consultant at Satyam Computer Services

- Business Analyst at Oracle

- Technology Consultant at Hewlett Packard

- Microsoft Dynamics CRM Applications Analyst at Whitbread

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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MSc Organisational Change and Development aims to develop graduates who are capable of contributing to organisational change, and development initiatives/activities, in developing and transitional economies. Read more

MSc Organisational Change and Development aims to develop graduates who are capable of contributing to organisational change, and development initiatives/activities, in developing and transitional economies.

Drivers including economic crisis, structural adjustment, competition and technical innovation require organisations in developing and transitional economies to change and develop on an ongoing basis. This course satisfies the growing need for staff who can make a difference in this area.

You will learn from highly experienced lecturing staff who have extensive international experience, and benefit from in-depth overseas fieldwork that involves private, public and not-for-profit organisations.

Aims

The course is aimed at individuals involved in processes of organisational change and development in developing and transitional economies. You are likely to have a professional interest in management and human resource issues, as reflected in the content of the core and optional course units.

In previous years, participants have been drawn from a variety of backgrounds, including managers, administrators, consultants and professional practitioners. Past participants have also been drawn from the public, private and NGO sectors.

The aim of this course is to develop you into a more effective agent of organisational change and development, by providing you with new analytical capacities, skills and knowledge. By the end of the course, you should be able to:

  • Understand the academic and theoretical basis of organisational change and development.
  • Develop realistic HR strategies that contribute to effective organisational change and development interventions.
  • Contribute positively to organisationally-based initiatives through the effective diagnosis, planning, management and implementation of organisational change and development interventions.
  • Engage in specific specialist processes of organisational change and development.
  • Synthesise new and existing knowledge by undertaking academic or specialist organisational change and development research.

Special features

The course includes a fieldtrip to a UK or overseas destination, giving you practical experience of the issues discussed in class. During the visit, you also have the opportunity to discuss course topics with specialists and professionals in the field. The cost of the fieldtrip is included in the course fee.

Teaching and learning

Part-time Study

Part-time students complete the full-time programme over 27 months.  There are no evening or weekend course units available on the part-time programme, therefore if you are considering taking a programme on a part-time basis, you should discuss the requirements with the Programme Director first and seek approval from your employer to have the relevant time off. Timetabling information is normally available from late August from the Programme Administrator and you will have the opportunity to discuss course unit choices during induction week with the Programme Director.

Coursework and assessment

The taught elements of the programme, carrying 120 credits overall is continuously assessed by a variety of methods (project based reports, essays), involving largely individual submissions, but also elements of group work.

Participants must also complete a 12,000-15,000 word dissertation worth an additional 60 credits on a topic of their choice approved by the Programme Directors. This dissertation usually addresses change and development issues and students are encouraged to base their dissertations on topics of direct professional concern to themselves.

Facilities

The Arthur Lewis Building provides excellent resources including analytical laboratories, studio facilities, workshops, seminar rooms, an on-site cafe and dedicated computer clusters including GIS facilities.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

Participants are drawn from a variety of backgrounds, including managers, administrators, consultants and professional practitioners. They are also drawn from a variety of organisations undergoing change: public and private sectors and non-governmental organisations. You are likely to hold a professional interest in management and human resource issues.



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