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Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling. Read more
Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.

You master these areas through studying topics including:
-Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
-Applications of calculus and statistical methods
-Computational intelligence in finance and economics
-Financial markets

You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our departments of economics, computer science and business.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

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.

Example structure

-CCFEA MSc Dissertation
-Financial Engineering and Risk Management
-Introduction to Financial Market Analysis
-Learning and Computational Intelligence in Economics and Finance
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Big-Data for Computational Finance (optional)
-Industry Expert Lectures in Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Artificial Neural Networks (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-Machine Learning and Data Mining (optional)
-Trading Global Financial Markets (optional)
-Creating and Growing a New Business Venture (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Constraint Satisfaction for Decision Making (optional)

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Information Technology is now fundamental in every aspect of our daily lives. IT systems are crucial for delivering every day services such as banking, web based services and information systems. Read more
Information Technology is now fundamental in every aspect of our daily lives. IT systems are crucial for delivering every day services such as banking, web based services and information systems.

The MSc Information Technology is a full time, one year taught course, intended for students who are seeking a professional career in the IT industry. There is no requirement for a first degree in computing, but proficiency in at least one programming language is a requirement.

The course covers a range of topics including advanced programming, user-interface design, software engineering and management.

This course will give you the knowledge of IT from an organisation oriented viewpoint, allowing you to be capable of designing and implementing IT systems for a wide range of organisations.

The course has been specifically designed to suit the requirements of the IT industry, where you will be able to take up technical or management positions. Our graduates enter employment in many roles, including computer programmers, technical authors and research associates.

Course Aims
-Programming: You will gain a thorough grounding of advanced programming concepts using Java including efficient data structures and algorithms and high performance distributed computing.
-User-Interfaces: You will learn the theory of human computer interaction (HCI) and put this into practice in a number of ways, including user centred design of aspects of people's interaction with digital systems.
-Software Engineering: You will learn and be able to apply the principles of software engineering and case studies using UML, software testing techniques, and privacy and security aspect of software systems.

Learning Outcomes
We expect our graduates to be capable of designing and implementing IT systems for a wide range organisations. A thorough understanding of the following subjects are expected:
-Designing user interfaces following sound principles of interface design
-Designing, specifying, implementing and testing software components and systems using UML, Java and a range of software testing techniques
-Dependability of IT systems including topics in privacy and security
-Computer architectures and high performance distributed computing

Project

The dissertation project undertaken by students in Terms 3 and 4 (Summer Term and Vacation Term) is carried out individually, which might involve collaboration with another organisation. The subject matter of projects varies widely; most projects are suggested by members of staff, some by external organisations, and some by students themselves, usually relating to an area of personal interest that they wish to develop further.

A collaborative project is supervised by a member of the Department, but the collaborating organisation will normally provide an external supervisor. Organisations that have collaborated in projects in the past include Glasgow Town Planning Department, British Rail Passenger Services Department, North Yorkshire Police, North Yorkshire Fire Services, NEDO, the Royal Horticultural Society, Biosis UK, Centre Point sheltered housing, York Archaeological Trust, and the University of York Library.

The subject matter of projects varies widely; most projects are suggested by members of staff, some by external organisations, and some by students themselves, perhaps relating to an area of personal interest that they wish to develop further.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

Examples of previous project include:
-A Study into the User Experience and Usability of Web Enabled Services on Smartphones
-Agent simulation of large scale complex IT systems
-Do People Disclose their Passwords on Social Media?
-Dynamic Sound Generation for Computer Games
-Iterative linear programming as an optimisation method for buyer resources in online auctions evaluated using a Java-based Monte Carlo simulation
-Qchat (Web-based chat application for quantum physicists)
-Software for dyslexic readers: an empirical investigation of presentation attributes
-Web-based IQ Testing Application for Fluid Intelligence Analysis
-Agent simulation of large scale complex IT systems

Information for Students

Whilst the MSc in Information Technology does not require a formal qualification in computing, we do expect you to have some understanding of computer related issues.

As everyone arrives with different experience, we have put together the following summary of what we expect you to know, with some suggestions of how you can prepare before you arrive.

You'll start the course with a focus on writing and developing Java programs. We assume that you are familiar with programming concepts and terminology, so we advise you to review basic programming concepts, such as:
-Variables and their types
-Control structures (e.g. if-statements, loops)
-Subprograms (e.g. procedures, functions)
-Compilation and debugging.

If you have never used Java, you will benefit greatly from doing some reading and trying out Java programming before you arrive. We will teach you from first principles, but the pace will be fast and you will find it easier to keep up if you've practiced with the basics beforehand. Tutorials and practical exercises are the best way for you to prepare, and the Deitel and Deitel book below is a good source of these.

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

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Effective information management is key to the success of any organisation. The MBA Information Management develops knowledgeable and capable executives who will become managers in the IT / computing industry, or in companies in other sectors. Read more
Effective information management is key to the success of any organisation. The MBA Information Management develops knowledgeable and capable executives who will become managers in the IT / computing industry, or in companies in other sectors. The aim of the programme is to provide graduates with a range of management knowledge and skills, together with a thorough foundation in information management, information technology, and its commercial applications. The programme includes topical case studies, and reflects contemporary developments within the sector. The course is suitable for graduates in a wide range of disciplines, including Engineering, Finance, Social Sciences and other subjects.

Compulsory Modules:

Organisations and People: This module examines key issues arising from contemporary research in organisational behaviour (OB) and human resource management (HRM). It provides an integrated analysis of management, organisations and people, developing the conceptual, strategic and practical skills necessary for managers in complex, global organisational contexts. Specific topics include:

The nature of organisations
Organisation structures: strategy, design and function, job design
Organisation cultures: values, ethics, norms of behaviour
Theories and models of management: classical and contemporary
Individual differences: perception, learning, motivation, equality and diversity
Groups and teams in the organisation
Managing relationships: power, conflict, communication, engagement
Managers as leaders, people developers, coaches
Managing job satisfaction and performance

International Strategic Management: This module analyses strategic decision-making within business. You will develop a critical understanding of the strategic processes of business management, the interconnections with the functional domains of marketing, human resource management and corporate finance, and the management of knowledge systems. Specific topics include:

Concepts of strategic management applicable to business
Prescriptive and emergent strategies
Strategy implementation through capacity building and resource allocation
Managing, monitoring and reviewing strategic change
Organisational designs for strategic advantage
Human resources strategy, marketing and corporate financial strategy
Organisational learning and knowledge management

Management Research: This module analyses the philosophical basis for research in the management sciences, and examines a number of key methodological issues and approaches. Research designs for both quantitative and qualitative research methodologies are developed, including interviews, case studies, focus groups, surveys and experiments. Specific topics include:

Research methodologies and philosophy: positivism and interpretivism
Qualitative research methods and the search for meaning
Selecting a research strategy and design
Data gathering, documentary records, triangulation and mixed methods
Content analysis, conversation analysis, discourse analysis, grounded theory
Quantitative research design and methodologies
Univariate and multivariate analysis, factor, cluster and discriminant analysis

Web Technologies: This module provides an understanding of the basic technologies and structures for developing web applications, including internet resource creation, search techniques and programming languages for creating web content. You will create and use multimedia content in web applications, and gain familiarity with technologies for creating secure web applications. Specific topics include:

Internet concepts; networks; ISO 7 layer model; basic network architecture; routing; domain names; email; ftp; telnet; HTTP
WWW concepts; Internet resources; URI, and URI resolution, URL, URN; relation to XML namespaces; search engines; search algorithms; search engine optimisation
JavaScript; PHP; CSS; programming tools and environments
Multimedia; WWW support for multimedia; file compression
Internet Security; Cryptography; standards for the Internet; public key systems; signatures; authentication; trust management; electronic cash; security issues; firewalls
Web programming; HTML; XML; form input; CGI scripting; Perl programming

Finance for Managers: This module is designed for those who aim to achieve a basic understanding of financial management and control, and who require an understanding of finance in order to manage an organisation effectively. Financial planning and control are central themes, as well as the appraisal techniques of investment projects. Specific topics include:

Principles underlying the preparation of accounting information
Recording business transactions
Preparation and analysis of financial statements
Preparation of budgets, financial planning and control
Costing methods, uses and interpretation of cost data
Investment appraisal techniques

Databases: This module shows how to design a database and intelligently query a database using SQL; and provides an introductory level of understanding in database systems. A mini project is carried out towards the end of the module. This project allows you to complete the entire development process, from informal user requirements, to ER/EER modelling, transformation into relations, normalisation, and finally to the SQL commands to create and query the database. Specific topics include:

Characteristics of a relational database
ER/EER modelling of simple applications
Relational model and relational algebra
Transformation of an ER/EER model into a relational database
Normalisation techniques
Uses of SQL language to create and query a database

Technologies for Internet Systems: This module introduces technologies and tools for Internet Systems and e-commerce systems. Technologies and structures for developing web applications are examined. Technical issues for implementing an e-system, and commonly-available technology components, are covered. You will implement a practical web based e-commerce system using relevant technologies, taking into account current market implementation. Specific topics include:

e-commerce ideas and concepts
Internet concepts; networks; basic network architecture; routing; domain names; email; telnet; HTTP
Architectures and technologies, e-payment, e-commerce software and hardware, e-security, auctions
Design and implementation: HTML, XML, CSS, JavaScript, DOM, SVG
Research awareness: agent-based e-commerce; web services; grid computing; virtual organisations

Information Systems: This module examines the major types and components of Information Systems, their functions, benefits and limitations. The theoretical underpinnings of Information Systems are analysed. You will study the main business and personal uses of Information Systems, and how such systems are developed, procured and deployed. Specific topics include:

Understanding the nature of organisations and the people within them, and their use of information for strategic business purposes
The influence of human and organisational factors on the successful introduction of information systems
Methods and techniques involved in project and programme management
The importance of business processes and techniques for process modelling

Part 2:

For MBA Information Management, you MUST:

Complete two of the following Applied Business Projects: Business Planning; e-Business and Chain Value; Human Resource Management; International Business; Operations Management; Investment and Private Banking.
Write a Computing project, Software Hut. Software Hut is a project in which students (in groups) analyse, design and implement a software product for an organisation.

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A unique course that creates an opportunity to explore both the theoretical aspects and practical challenges of curating contemporary fashion and historical dress in a wide range of formats and locations. Read more

Introduction

A unique course that creates an opportunity to explore both the theoretical aspects and practical challenges of curating contemporary fashion and historical dress in a wide range of formats and locations.

Content

MA Fashion Curation is a unique opportunity to investigate the ways in which fashion and dress can be collected and displayed, and offers the opportunity to engage with theoretical discussions and debates that underpin this exciting and growing discipline. Fashion exhibitions are a key part of the national and international landscape of contemporary society, attracting some of the largest audiences to major museums. Fashion exhibitions have also become increasingly visible in department stores, galleries and the wider community. This shift represents the growing status of the curator as a central cultural mediator.

MA Fashion Curation will equip you with the skills to enter this fast paced and growing field. A key aspect of this course is the practical skills and experience gained in staging a live fashion-related exhibition. This group project presents students with an exciting collaborative opportunity to explore a range of approaches, mediums and practices that constitute the roles required in realising a curatorial project.

The changing possibilities of curating and the curator are introduced and examined through seminars, workshops, and lectures, given by LCF researchers and lecturers and key industry professionals. Students are encouraged to undertake internships whilst on the course and past placements have been at Victoria and Albert Museum, Museum of London, Kerry Taylor Auctions, Alexander McQueen Archives, Rambert Dance Company Archives, Museum of the City of New York and Metropolitan Museum of Art, New York. Taught by a team of internationally renowned curators, including Professor Amy de la Haye and Professor Judith Clark, this course makes full use of fashion-related collections and archives both within and outside London to explore the issues and concerns that consume today's fashion curators. Areas that are explored with the MA include: displaying dress; creating 'stories' from objects; writing texts to target audiences; model-making; collecting, handling and archiving garments.

Our growing number of alumni can now be found in a perse range of organisations, including museums, galleries, universities, as well as developing freelance careers as consultants, archivists and curators.

Structure

15 months level 7 180 credits

Term One

The Past and Future of Fashion Curation (40 credits)
Research Methods (20 credits)

Term Two

Collect/Recollect (40 units)
Collaborative Unit (20 credits)

Term Three

Masters Project (60 credits)

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This one-year full time programme, formerly MSc in Computation and Game Theory, is intended for you if you already have a first degree in Computer Science, or in Economics, or a closely related subject. Read more
This one-year full time programme, formerly MSc in Computation and Game Theory, is intended for you if you already have a first degree in Computer Science, or in Economics, or a closely related subject.

The programme is suitable for you if you wish to extend your knowledge with more advanced specialised material reflecting current research at the cutting edge of the discipline of Algorithmic Game Theory, which lies at the intersection of economics and computer science.

It is a novel and unique programme, the first of its kind in Europe, offering a range of modern topics that range from optimisation and computational game theory to network games, and modern applications in electronic commerce, such as Google sponsored search auctions.

It is offered by the Computer Science Department, with contributions from the University of Liverpool Management School.

The programme is organised as two taught semesters followed by an individual project undertaken over the summer. During each semester MSc students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a dissertation, also 60 credits, making an overall total of 180 credits.

Why Computer Science?

Exceptional facilities and equipment

Following a recent refurbishment, our labs provide extensive state-of-the-art facilities including well equipped electrical and computing laboratories and specialist sections for research activities, as well as technical staff on hand to help and offer expert advice and support. The postgraduate labs incorporate the latest research facilities and instrumentation.

Postgraduate taught programmes

The taught components of our on campus MScs cover a range of contemporary computing topics and provide you with a strong theoretical basis, as well as develop critical analysis and practical skills.

We are also market leaders in the design, development and delivery of online Computer Science MScs. Our pioneering activities in this area offer flexible learning opportunities and group support via virtual classrooms.

Career prospects

Here are some of the fields in which our MSc graduates are now working:-

Network systems and data communications analysis
Computer software engineering (both applications and systems software)
Network and computer systems administration
Database administration.

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Your programme of study. Real Estate is now a worldwide profession for many specialists in the field, investors and property developers, international travellers and businesses. Read more

Your programme of study

Real Estate is now a worldwide profession for many specialists in the field, investors and property developers, international travellers and businesses. Globalisation has meant that real estate is now visible to each of us in most countries in the world. This presents both huge opportunities and managed risks in countries offering different types of regulation, rules of conduct, registration and assessment methods. Risks are many and varied but include managing fraud, money laundering, protecting money and more. You also have to understand valuation methods inside and out for buying, selling, renting, letting, understanding disputes, issues affecting homes and businesses, auctions, planning issues affecting your property and more. There are now new ways of buying and selling property complete online or by auction models.

Real Estate if a very vocational Master's degree which is open to students from any degree background who want to start a chartered surveying profession in valuation, property investment and development with RICSs accreditation which is recognised globally. The programme is very employable and previous graduates are employed in senior positions in the profession.

The Degree is fully accredited by the Royal Institution of Chartered Surveyors (RICS) allowing graduates to proceed to the RICS Assessment of Professional Competence (APC) following appropriate work experience

The Degree has been running for over 20 years and has established a strong reputation among employers with many past graduates employed in senior positions in the profession.

Employers like the combination of first degree coupled with a postgraduate Masters degree in the specialist area

Average cohort size of 15 to 25 students ensures an interactive, friendly learning environment

International Real Estate module includes a week long European field trip

Courses listed for the programme

Semester One

Real Estate Research

Property Law & Institutions

Valuation and Finance

Real Estate and Economics

Semester Two

International Real Estate

Advanced Valuation and Development

Strategic Marketing

Real Estate Finance

Third Semester

International Options

Real Estate Dissertation

Asian Cities - Hong Kong

Asian Cities - Seoul/Tokyo

Asian Cities- Singapore

Asian Cities - Shanghai/Beijing

Find out more detail by visiting the programme web page

https://www.abdn.ac.uk/study/postgraduate-taught/degree-programmes/272/real-estate-international-option/

Why study at Aberdeen?

  • The degree is fully accredited by the Royal Institution of Chartered Surveyors (RICS) - recognised internationally
  • The programme has been running for over twenty years - an established and renowned programme in the UK
  • International modules include a week long European field trip
  • International students can also elect to travel to Asia and visit five cities

Where you study

  • University of Aberdeen
  • 12 Months Full Time
  • September start

International Student Fees 2017/2018

Find out about fees:

https://www.abdn.ac.uk/study/international/tuition-fees-and-living-costs-287.php

*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page

https://www.abdn.ac.uk/study/postgraduate-taught/finance-funding-1599.php

https://www.abdn.ac.uk/funding/

Living in Aberdeen

Find out more about:

  • Your Accommodation
  • Campus Facilities
  • Aberdeen City
  • Student Support
  • Clubs and Societies

Find out more about living in Aberdeen:

https://abdn.ac.uk/study/student-life

Living costs

https://www.abdn.ac.uk/study/international/finance.php

You may be also interested in:

https://www.abdn.ac.uk/study/postgraduate-taught/degree-programmes/980/real-estate-commercial-option/



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To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Read more
To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Designed for graduates of the highest calibre the MSc will develop advanced knowledge and skills and give you the opportunity to put your knowledge into practice through valuable work experience during a one year industrial placement.

The Advanced Computer Science with Internet Economics MSc is intended for you if you already have a first degree in Computer Science, or in Economics, or a closely related subject.

The programme is suitable for you if you wish to extend your knowledge with more advanced specialised material reflecting current research at the cutting edge of the discipline of Algorithmic Game Theory, which lies at the intersection of economics and computer science.

It is a novel and unique programme, the first of its kind in Europe, offering a range of modern topics that range from optimisation and computational game theory to network games, and modern applications in electronic commerce, such as Google sponsored search auctions.

It is offered by the Computer Science Department, with contributions from the University of Liverpool Management School.

The two-year MSc programme shares the same taught modules with its one-year equivalent. However, unlike the one-year MSc which includes an MSc project over the summer, the two-year programme includes an industrial project and placement in year two (either in the UK or overseas). The placement is typically 30 weeks from September to June.

This opportunity to work in industry will help you strengthen your career options by:

Undertaking the project work in an industrial setting
Applying theory learnt in the classroom to real-world practice
Developing communications and interpersonal skills Building networks and knowledge which will be invaluable throughout your career.
During the placement year you will spend time working in a relevant company suitable for the MSc. This is an excellent opportunity to gain practical engineering experience which will boost your CV, build networks and develop confidence in a working environment. Many placement students continue their relationship with the placement provider by undertaking relevant projects and may ultimately return to work for the company when they graduate.

The University of Liverpool has a dedicated team to help students find a suitable placement. Preparation for the placement is provided by the University’s Careers and Employability Service (CES) who assist students in finding a placement, help students produce a professional CV and prepare students for placement interviews.

The University has very good links with industry and several companies work with us to offer our MSc students competitive placements. Although industry placements are not guaranteed, the University offers you opportunities and support throughout the process to ensure that the chance to find a placement is high.

If you are unable to secure a suitable placement by the end of April during year one, you will be transferred onto the one-year MSc to undertake the MSc project over the summer and graduate after one year.

The programme is organised as two taught semesters followed by an individual project undertaken over the summer. During each semester MSc students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a dissertation, also 60 credits, making an overall total of 180 credits.

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Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling. Read more
Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.

You master these areas through studying topics including:

- Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
- Applications of calculus and statistical methods
- Computational intelligence in finance and economics
- Financial markets

You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

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The MSc in Management is a rigorous and challenging program and is intended to position you for admission to a top Ph.D. program or to give you a jump-start in a research-intensive career. Read more
The MSc in Management is a rigorous and challenging program and is intended to position you for admission to a top Ph.D. program or to give you a jump-start in a research-intensive career.

We offer an exceptional graduate experience.

Goodman’s renown MSc program consists of research-focused coursework and a year-long thesis project. You’ll receive individual attention and mentoring from our faculty members who are leading researchers in their respective fields and who are committed to your success.

The MSc takes two years to complete and is offered on a full-time basis.

Your MSc degree will include relevant coursework, research seminars, courses in research methodology and a thesis in your area of study.

MSc Curriculum

COURSEWORK

Your coursework is carefully designed in consultation with your thesis supervisor to include specialized MSc courses in relevant subject areas. The coursework provides you with a strong foundation for your future thesis and gives you exposure to different aspects of your discipline.

RESEARCH SEMINARS

We believe strongly that you should be an expert in your own field and also be familiar with other core areas of management. Biweekly research seminars focus on the presentation of academic research by yourself and your classmates, Goodman faculty members and visiting scholars.

RESEARCH METHODOLOGY

Our research methodology courses provide you with a comprehensive overview of the methods commonly used in management research. You’ll gain knowledge of statistical techniques, survey research and experimental research design.

TYPICAL PROGRAM PLAN

Your MSc curriculum is designed in careful consultation with your thesis supervisor. These sample program plans provide with examples of a possible program plan based on specialization.

THESIS

As the final component of your MSc in Management degree, the thesis demonstrates your ability for independent and original research. The thesis component is the focus of your second year of study and includes the preparation of your thesis proposal, the writing and research of your thesis and your thesis defense. You will work closely with your thesis supervisor and the members of your supervisory committee during this time.

SAMPLE THESIS TOPICS

Management of Online Stock Keeping Units and Its Impact on E-Retailer Performance
Moderating role of supervisory behaviours and employee customer orientation
Reaction of the U.S. Treasury Market to the Auctions of Economic Derivatives
Search Engine Marketing Strategies and Key Performance Metrics in Web Retailing: A Data-Driven Modelling and Analysis
Environmental Disclosures: Firm characteristics and Market Response

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