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.
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This program is designed for individuals looking for careers in or as:
To see a complete list of possible career options, click here.
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.
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)
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.
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.
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.
Students are expected to go in to careers such as Investment Banking, Hedge Funds and Regulatory Bodies.
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'.
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, 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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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.