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Masters Degrees (Financial Modeling)

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The MSc Computational Finance will provide you with mathematical and computational skills required to solve real problems in quantitative finance. Read more
The MSc Computational Finance will provide you with mathematical and computational skills required to solve real problems in quantitative finance. Many areas of modern finance such as risk management and option pricing emphasise numerical and computational skills as well as an understanding of the mathematical background.

The programme brings together expertise from Mathematics and the Business School to ensure a balanced approach to many of the complex problems in modern quantitative finance.

On completion of the programme you will be able to review and implement complex financial models in a number of programming languages including C++, MATLAB and R.

Programme structure

Core modules

The compulsory modules can include; Methods for Stochastics and Finance; Analysis and Computation for Finance; Mathematical Theory of Optional Pricing; Introduction to C++; Computational Finance with C++; Numerical Finance; Research Methodology; Advanced Mathematics Project; Investment Analysis I; Investment Analysis II; Financial Modeling

Optional modules

Some examples of the optional modules are as follows; Topics in Financial Economics; Banking and Financial Services; Derivatives Pricing; Domestic and International Portfolio Management; Advanced Corporate Finance; Alternative Investments; Quantitative Research Techniques; Advanced Econometrics;

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This degree, offered jointly by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling. Read more
This degree, offered jointly by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling. This is an attractive advanced qualification, especially suitable if you are seeking employment in asset structuring, product pricing or risk management, among other fields.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msccomputationalfinance.aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy, in particular of financial services and insurance. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will learn modern quantitative finance and computational methods for financial modeling. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- 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.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The departments have expertise in a wide set of areas in Computer Science and in Economics, and the topics taught reflect these areas of excellence.

- Computer Science hosts one of strongest research groups in Machine Learning (the science of systems that learn from data).

- In the most recent Research Assessment Exercise (RAE 2008), Computer Science ranked 11th and Economics ranked 8th for their research output.

- Computer Science is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- Computer Science has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
Throughout your degree, you will have the opportunity to acquire the following skills:

- Knowledge of the working of financial markets and their role in the context of global economy.
- Knowledge of modern mathematical and computational techniques used in finance.
- Knowledge of key ideas, principles, and methods of machine learning and their applications in finance.
- Ability to apply methods of computational finance to practical problems in computational finance, including pricing of derivatives and risk assessment.
- Ability to analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems; to critically evaluate validity and practicality of results.
- Ability to analyse and critically evaluate applicability of machine learning algorithms to problems in finance.
- Ability to implement methods of computational finance and machine learning using object-oriented programming languages and
modern data management systems.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.

Assessment

Assessment is carried out by a variety of methods including coursework and a dissertation. The placement is assessed as part of your degree.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different finance-related areas, including careers as financial analysts, accountants, bankers, journalists and business analysts. Our graduates are currently working for firms such as Accenture, TNS, RBS, Deloitte, and Baker and McKenzie. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to both departments. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major finance employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London. Thus, you will have additional access to a wealth of presentations and networking opportunities which make the most of London’s financial centre.

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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This degree, offered jointly by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling. Read more
This degree, offered jointly by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling. This is an attractive advanced qualification, especially suitable if you are seeking employment in asset structuring, product pricing or risk management, among other fields.

As part of the course, you will take an industrial placement, where you will gain valuable experience by putting your knowledge and skills into practice.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msccomputationalfinance(yearinindustry).aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy, in particular of financial services and insurance. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will learn modern quantitative finance and computational methods for financial modeling. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- Taking a placement is an excellent opportunity to gain industrial experience (which gives you an extra edge when applying for jobs in the future) and acquire skills that can only be fully picked up in a work environment.

- 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.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world

Department research and industry highlights

- The departments have expertise in a wide set of areas in Computer Science and in Economics, and the topics taught reflect these areas of excellence.

- Computer Science hosts one of strongest research groups in Machine Learning (the science of systems that learn from data).

- In the most recent Research Assessment Exercise (RAE 2008), Computer Science ranked 11th and Economics ranked 8th for their research output.

- Computer Science is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- Computer Science has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

Your placement will take up to one year and, if you are an overseas student, your visa will cover the two years of the programme. The placement attracts a salary and is assessed as part of your degree. You will be assigned a supervisor by the host company, who is responsible for directing your work. You will be assigned an academic supervisor, who visits to check if you are integrating successfully and the type of work being undertaken is appropriate, and supports you in general during your placement. If you cannot or decide not to take a placement, you revert to the normal one-year degree.

On completion of the course graduates will have:

Throughout your degree, you will have the opportunity to acquire the following skills:

- Knowledge of the working of financial markets and their role in the context of global economy.
- Knowledge of modern mathematical and computational techniques used in finance.
- Knowledge of key ideas, principles, and methods of machine learning and their applications in finance.
- Ability to apply methods of computational finance to practical problems in computational finance, including pricing of derivatives and risk assessment.
- Ability to analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems; to critically evaluate validity and practicality of results.
- Ability to analyse and critically evaluate applicability of machine learning algorithms to problems in finance.
- Ability to implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.
- Work experience and appreciation of how your work fits into the organizational and development processes of a company.

Assessment

Assessment is carried out by a variety of methods including coursework and a dissertation. The placement is assessed as part of your degree.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different finance-related areas, including careers as financial analysts, accountants, bankers, journalists and business analysts. Our graduates are currently working for firms such as Accenture, TNS, RBS, Deloitte, and Baker and McKenzie. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to both departments. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major finance employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London. Thus, you will have additional access to a wealth of presentations and networking opportunities which make the most of London’s financial centre.

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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The master of science degree in finance prepares students for managerial careers in corporate finance, investment analysis and portfolio management, financial consulting, and financial institutions. Read more

Program overview

The master of science degree in finance prepares students for managerial careers in corporate finance, investment analysis and portfolio management, financial consulting, and financial institutions. Courses prepare students to sit for the Certified Financial Analyst exam. To complete the program in one year, full-time students must begin their studies in the fall semester.

Plan of study

The program of study consists of 10 courses and a field exam. Candidates must successfully complete the comprehensive field exam.

Curriculum

Finance, MS degree, typical course sequence:
-Accounting for Decision Makers
-Financial Analysis for Managers
-Securities and Investment Analysis
-Finance in a Global Environment
-Financial Management II
-Options and Futures
-Financial Modeling and Analysis
-One 700-level Statistics Course
-One 700-level Economics Course
-One 700-level Finance Course
-Field Exam

Other admission requirements

-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit scores from the Graduate Management Admission Test (GMAT) or Graduate Record Exam (GRE) (GMAT preferred for international applicants and those applying for scholarships).
-Submit a personal statement.
-Submit a current resume.
-Complete a graduate application.
-International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL). Minimum scores of 580 (paper-based) or 92 (Internet-based) are required. Scores from the International English Language Testing System (IELTS) are accepted in place of the TOEFL exam. The minimum acceptable score is 7.0. The TOEFL or IELTS requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions. For additional information on the IELTS, visit http://www.ielts.org.

Completed applications for admission should be on file in the Office of Graduate Enrollment Services at least four weeks prior to registration for the next academic semester for students from the United States, and up to 10 weeks prior for international students applying for student visas. Accepted students may defer enrollment for up to one year. After one year, a new application must be submitted and will be re-evaluated based on the most current admission standards.

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MTSU’s new Master of Science in Finance program is designed to provide a graduate-level knowledge base and expertise to those who work in the growing field of finance, assisting individuals, companies, and governments, among others, in navigating the increasingly complex and essential world of financial analysis. Read more
MTSU’s new Master of Science in Finance program is designed to provide a graduate-level knowledge base and expertise to those who work in the growing field of finance, assisting individuals, companies, and governments, among others, in navigating the increasingly complex and essential world of financial analysis. The program is ideal for a prospective student with a business/quantitative background (e.g. finance, economics, accounting, mathematics, or engineering undergraduate degree) who is seeking to advance his/her career in the rewarding world of finance. The 12-month, 33-credit hour program will offer a class schedule to accommodate professionals in the work world as well as full-time students. The program aims to impart quantitative, practical knowledge in various areas within the field of finance; deliver hands-on experience applying various financial modeling and valuation concepts, tools, and techniques; and develop communication, critical thinking, analytical ethical decision making, and discipline-specific skills.

The Finance master’s degree aims to prepare students for careers as financial analysts, consultants, managers, and planners by promoting certifications such as Chartered Financial Analyst (CFS), Certified in Financial Management (CFM), Certified Financial Planner (CFP), and/or Certified Treasury Professional (CTP).

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The operating officers of tomorrow master in Operations Management today. The program focuses on the effective management of the resources and activities that produce or deliver the goods and services of a business. Read more
The operating officers of tomorrow master in Operations Management today. The program focuses on the effective management of the resources and activities that produce or deliver the goods and services of a business. Operations managers oversee the people, materials, equipment and information resources that a business needs to produce and deliver its goods and services. Many of the most esteemed data systems operating the processes and activities of worldwide business are designed by operations managers.

Visit the website: http://manderson.cba.ua.edu/academics/departments/masters_program/master_of_science_in_operations_management

Choose from two track options:

Track 1: Operations Management

The master's program in Operations Management is offered both on campus and online. The degree requires 30 hours of coursework (10 courses). Full-time, on-campus students can complete the program in three semesters (fall/spring/summer). Students who want to pursue this degree program part-time while continuing to work can choose between the two-year and three-year schedules for completing the degree online.

Required Courses:

- OM 500 Management Science I
- OM 517 Supply Chain Modeling & Analysis
- OM 522 Operations Scheduling Problems
- OM 523 Inventory Management
- OM 524 Manufacturing Scheduling & Control Systems
- OM 540 Systems Simulation
- OM 596 Capstone Project
- ST 560 Statistical Methods

Track 2: Decision Analytics

The concept for this track is to offer an Operations Management master’s degree that combines the prescriptive modeling and analytical skills arising from the OM program with the data management and data mining skills arising from the SAS-UA Data Mining certification program offered in the Statistics program.

The Decision Analytics track consists of 10 courses: five from Operations Management, four from Statistics, and one from either Statistics or Management Information Systems.

- Required Courses:

- ST 560 Statistical methods in Research I
- ST 521 Statistical Data Management
- ST 531 Knowledge Discovery and Data Mining I
- ST532 Advanced Data Mining
- OM 500 Management Science and Spreadsheet Modeling
- OM 540 Systems Simulation
- OM 596 Capstone Project

- Two OM Elective Courses:

- OM 517 Supply Chain Modeling and Analysis
- OM 522 Operations Scheduling Problems
- OM 523 Inventory Management
- OM 524 Manufacturing Scheduling and Control Systems

*Choose two courses from this set of four courses.

- One Restricted Elective Course:

- ST 522 Advanced Statistical Data Management
- MIS 541 Business Analytics Support Systems

*Choose one of these two with consultation by program advisor.

How to apply: http://graduate.ua.edu/prospects/application/

Fund your studies

Student Financial Aid provides comprehensive information and services regarding opportunities to finance the cost of education at The University of Alabama. We recognize that financial assistance is an important key to helping reach your educational and career goals. The financial aid staff is dedicated to making the financial aid process as straightforward as possible. Visit the website to find out more: http://financialaid.ua.edu/

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The Master of Arts in Management is an online only program. Managing a business is challenging. Managing a business off-site is more challenging. Read more
The Master of Arts in Management is an online only program. Managing a business is challenging. Managing a business off-site is more challenging. That's why the Online Master of Arts in Management, with a concentration in Global Business Management, lets students develop the skills and disciplines to manage businesses face-to-face even when they are far from back-to-back.

Visit the website: http://manderson.cba.ua.edu/academics/departments/online/online_master_of_arts_in_management

Course detail

Students in this program learn the complexities of managing in a global arena. Graduates of this program will understand the degree to which globalization has changed the way management is practiced in today's society and how it has influenced the need for managers who can learn online and manage offshore.

Format

- Required courses:

- AC 506 Managerial Accounting
- OM 525 Effective Quality Management
- ST 560 Statistical Methods in Research I
- EC 500 Managerial Economics
- FI 504 Financial Management
- IBA 550 Global Business
- IBA 555 International Marketing
- MGT 517 Leadership/Ethics
- GBA 525 Business Policy (Global Capstone Course)

- Electives:

- IBA 460/560 Export-Import Management
- ST 575 Statistical Quality Control
- MGT 582 New Venture Development
- OM 500 Management Science and Spreadsheet Modeling

(Choose one)

How to apply: http://graduate.ua.edu/prospects/application/

Fund your studies

Student Financial Aid provides comprehensive information and services regarding opportunities to finance the cost of education at The University of Alabama. We recognize that financial assistance is an important key to helping reach your educational and career goals. The financial aid staff is dedicated to making the financial aid process as straightforward as possible. Visit the website to find out more: http://financialaid.ua.edu/

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Develop skills in programming, statistical modeling, and other areas of computer science to help you analyze and interpret complex biological data. Read more
Develop skills in programming, statistical modeling, and other areas of computer science to help you analyze and interpret complex biological data. Through the graduate program in bioinformatics, you’ll learn to blend expertise in computational and biological sciences, leading to a deeper understanding in areas like genomics, diseases, and drug discovery.

KEY LEARNING OUTCOMES

Through the master's degree in the field of bioinformatics, you:
-Gain an understanding of applied learning in related computer science subjects, including programming languages, statistical modeling, visualization, databases, and algorithms.
-Develop skills in scientific practice, including experimental or case study design, scientific data analysis, writing and communication, ethics, and effective collaboration.
-Build a foundation in life science theory as it relates to biotechnology.

PROGRAM OVERVIEW

The master’s degree includes nine courses—at least four taken on campus—and a thesis or internship.

-Get started. You begin by completing three admission courses from the program curriculum. This is your opportunity to demonstrate your commitment and ability to perform well as a Harvard student.
-Apply to the program. While completing your third admission course, you submit your application. We have application periods in the fall, spring, and summer.
-Continue your studies, online and on campus. As you progress through the program, you choose from courses offered on campus or online, in the fall, spring, or summer. You are required take at least four courses on campus as part of your degree.
-Complete your thesis or internship. If you choose the thesis option, you work with a thesis director to conduct in-depth research on a topic relevant to your work experience or academic interests, producing publishable quality results. You’ll emerge with a solid understanding of how scientific research is executed and communicated. For the internship, you have the opportunity to apply your knowledge of quantitative analysis and computational design to solve a biological problem, either with your current or potential employer.
-Graduate with your Harvard degree. You participate in the annual Harvard Commencement, receiving your Harvard University degree: Master of Liberal Arts (ALM) in extension studies, field: Bioinformatics.

COST

Affordability is core to our mission. Our 2016–17 graduate tuition is $2,550 per course; the total tuition cost of earning the graduate degree is approximately $25,500.

FINANCIAL SERVICES

The Student Financial Services staff can assist you in identifying funds that will help you meet the costs of your education. You can find more information here: http://www.extension.harvard.edu/tuition-enrollment/financial-aid

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In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Read more

Computational Life Science

In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Sophisticated high-throughput techniques pose new challenges for data integration and data interpretation. The Computational Life Science (CompLife) MSc program at Jacobs University meets these challenges by covering computational, theoretical and mathematical approaches in biology and the life sciences. It is geared towards students of bioinformatics, computer science, physics, mathematics and related areas.

Program Features

The CompLife program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. CompLife students at Jacobs University take a tailor-made curriculum comprising lectures, seminars and laboratory trainings. Courses cover foundational as well as advanced topics and methods. Core components of the program and areas of specialization include:

- Computational Systems Biology
- Computational Physics and Biophysics
- Bioinformatics
- RNA Biology
- Imaging and Modeling in Medicine
- Ecological Modeling
- Theoretical Biology
- Applied Mathematics
- Numerical Methods

For more details on the CompLife curriculum, please visit the program website at http://www.jacobs-university.de/complife.

Career Options

Graduates of the CompLife program are prepared for a career in biotechnology and biomedicine. Likewise, graduates of the program are qualified to move on to a PhD.

Application and Admission

The CompLife program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.

Scholarships and Funding Options

All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.

Campus Life and Accommodation

Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do.

For graduate students who would like to live on campus, Jacobs University offers accommodation in four residential colleges. Each college has its own dining room, recreational lounge, study areas, and common and group meeting rooms. Please visit http://www.jacobs-university.de/study/graduate/campus-life for more information.

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The master of science in computational finance is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries. Read more

Program overview

The master of science in computational finance is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries. Professionals in these fields use their strengths in business, modeling, and data analysis to understand and use complex financial models, often involving differential and stochastic calculus.

The program addresses a vital and growing career field, reaching beyond banking and finance. Typical job titles include risk analyst, research associate, quantitative analyst, quantitative structured credit analyst, credit risk analyst, quantitative investment analyst, quantitative strategist, data analyst, senior data analyst, fixed income quantitative analyst, and financial engineer. Computational finance is an excellent career option for technically-oriented professionals in the fields of business, math, engineering, economics, statistics, and computer science. Programming knowledge is highly preferred.

Plan of study

The curriculum offers an integration of finance, mathematics, and computing. The required mathematics courses have substantial financial content and the experiential computational finance course, which students take during the summer, makes use of skills learned in the mathematics, analytics, and finance courses taken up to that point. The program has a strong multidisciplinary nature and combines the expertise of four of RIT's colleges. The program is a full-time, 17-month curriculum beginning exclusively in the fall. The program ends with a required non-credit comprehensive exam based on the courses completed by the student.

Curriculum

Computational finance, MS degree, typical course sequence:
-Accounting for Decision Makers
-Survey of Finance
-Equity Analysis
-Debt Analysis
-Advanced Derivatives
-Mathematics for Finance I
-Mathematics for Finance II
-Analytics Electives
-Electives
-Computational Finance Experience

Other admission requirements

-Submit official transcripts (in English) from all previously completed undergraduate and graduate course work.
-Submit the results of the Graduate Management Admission Test (GMAT) or Graduate Record Exam (GRE) (GMAT preferred).
-Submit a personal statement (Applicants should explain why their background, please indicate mathematical and programming knowledge, and interests make them suitable for the program).
-Submit a current resume, and complete a graduate application.
-International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 580 (paper-based) or 92 (Internet-based) are required. Scores from the International English Language Testing System (IELTS) will be accepted in place of the TOEFL exam. The minimum acceptable score is 7.0. The TOEFL or IELTS requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions. For additional information on the IELTS, visit http://www.ielts.org.
-Completed applications for admission should be on file in the Office of Graduate Enrollment Services at least four weeks prior to registration for the next academic semester for students from the United States, and up to 10 weeks prior for international students applying for student visas.
-Accepted students can defer enrollment for up to one year. After one year, a new application must be submitted and will be re-evaluated based on the most current admission standards.

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Serious games and virtual reality represent a large, and actively growing, industry – the application of modern games technology in a wide range of areas around medicine, training, education, security and beyond. Read more
Serious games and virtual reality represent a large, and actively growing, industry – the application of modern games technology in a wide range of areas around medicine, training, education, security and beyond. While educational games already represent a multi-billion dollar global industry, the recent growth in virtual reality has seen predictions that this market will grow to $150 billion dollars by 2020 (Techcrunch, April 6, 2015).

The MSc provides students with the skills to become a key part of this explosive growth, and potential to become key innovators in this exciting and rapidly developing area. The MSc offers students with prior programming/scripting experience the transferable skills to design, develop and analyse games and simulations for a range of application areas and to conduct interdisciplinary research in the serious applications of games technology, particularly in healthcare, education and training.

As Virtual Reality and interaction technologies approach mainstream adoption, new opportunities for the application of immersive games technologies in engineering, medicine and in the home are putting games at the forefront of innovation worldwide.

At the School of Simulation and Visualisation we already have years of experience working on a wide range of serious games based projects for industrial, medical, heritage and education clients, building on our research and our expertise in 3D modeling and animation, motion capture technology and software development. We are pleased to be able to share our experience and expertise with this MSc.

Programme Structure:

Stage 1

Core Research Skills for Postgraduates
Games Programming
Serious Game Design and Research
School of Simulation and Visualisation Elective: Choose one from
Interactive Heritage Visualisation
Applications in Medical Visualisation

Stage 2

Motion Capture & Interaction
Audio for games & interactive applications
Serious Games Development
GSA Elective
Stage 3

MSc Research Project
Part time study is also available. Please see the Part Time Study Guide for more information.

Entry Qualifications:

You should have a Honours degree or equivalent professional practice in any of the following disciplines:

Computer science, computer graphics, computer programming, software development, mathematics, or physics
Computer games programming, game development, game design, game art, 3D modeling and animation, interactive systems
High calibre graduates from other disciplines may be considered if they are able to demonstrate an interest and ability in the field of serious games development.

IELTS 6.0 for overseas applicants for whom English is not their first language.

Scholarships and Funded Places:

Information on career development loans and financial support can be found in the fees and funding pages.

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The programme in Econometrics, Operations Research and Actuarial Studies aims at the description and analysis of problems in economics, management and related areas using mathematical models. Read more
The programme in Econometrics, Operations Research and Actuarial Studies aims at the description and analysis of problems in economics, management and related areas using mathematical models.

In this degree, you will acquire research skills and knowledge of the most important models used. In addition, you will gain the ability to transform the outcome of these models in relevant proposals for application. You can choose from three profiles:

1) Econometrics is particularly concerned with the interpretation of data. Econometrics has applications in fields like Financial Economics, Consumer Behaviour and Macroeconomics.

2) Operations Research deals with the design, analysis and implementation of mathematical models for a wide range of logistic and financial decision-making problems. Fields of study are time schedules for railway systems, the management of supply chains and asset-liability.

3) Actuarial Studies focuses on managing and pricing uncertainty, mainly in the context of insurance. The skills and knowledge you develop are valuable when dealing with subjects like investment strategy, social security and pensions.

Why in Groningen?

The programme has three profiles to choose from and is attractive for research-oriented students. The emphasis is on the application of modeling to practical problems and how to extract useful information from available economic data. Besides, it is an internationally accredited programme, ensuring a high quality education that meets both the AACSB and EQUIS standards, which only one percent of universities reach worldwide.

Job perspectives

As a graduate, you can find work in finance, insurance, marketing or market research. You will be involved in market development, fund management, risk analysis or assessing the impact of advertising. The jobs offered to graduates by non-profit organizations involve the same type of work as those offered by commercial organizations. You can also find work with employer organizations, trade unions, consumer organizations and consultancy firms.

Because all our programmes are EQUIS and AACSB accredited, a standard which only one percent of universities reach worldwide, your degree will be highly valued on the labour market.

Linking education to research and career preparation

Our education is strongly rooted in business practice and society. Also right from the start of your degree programme attention is paid to academic research and preprofessional development. Since an analytical and critical mind and problem-solving capabilities are important qualities in any career our students aspire.

In collaboration with external partners we conduct research projects on e.g banking, local government, customer insights, leadership, energy, healthy ageing and lean operations.

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The Msc in Luxury & Fashion Management is the ideal program for professionals wanting to further their knowledge in business and specialize in the fast-growing, lucrative domains of luxury and fashion. Read more
The Msc in Luxury & Fashion Management is the ideal program for professionals wanting to further their knowledge in business and specialize in the fast-growing, lucrative domains of luxury and fashion.
Students interested in Luxury and Fashion benefit from Paris' unique position in the world. Strong academic learning is made relevant through company visits and exploratory field trips. Guest speakers share their industry-specific knowledge with students, who may also participate in company projects. Learning is particularly dynamic and interactive: syllabi clarify the body of knowledge to be mastered, while reference textbooks facilitate student preparation and home-learning. Our experienced international faculty brings academic and professional learning to life. Our specialized faculty members utilize cutting-edge teaching methods.

The MBA in Luxury & Fashion Management provides students with the tools and understanding necessary to create and promote luxury brands.
This rigorous program lasts 12 months and covers all aspects of this lucrative industry including fashion, leisure, hotels, yachts, private jets, wineries and more. Key components of the program included comprehension of consumer behavior, marketing techniques, entrepreneurship and networking. We invite guest speakers from the luxury & fashion industries to give seminars throughout the year, giving our students the opportunity to create important links with professionals working in the field.

1st Trimester: Foundation courses
History of Civilisations and origins of Luxury
Luxury Marketing and Distribution
International Luxury Brand Management
Financial Management
Social Marketing and sustainable development
Integrated Marketing communication
Business Law & Intellectual Propert
Management of Innovation and Business Development

For the 2nd and the 3rd Trimesters you choose 1 between 2 Specializations:

First Specialization: Luxury & Fashion
History of Haute Couture & Ready to Wear
Fashion Strategic Marketing and trends Analysis
Strategy business modeling
Fashion Social Media Marketing Strategy
Brand strategy and Fashion Licensing
History of social Costume and social Evolution
Merchandising Strategies for fashion retailers
Italian Fashion Management industry
Accessories and Leather Goods
Human Recourse Management

Second Specialization: Luxury & Lifestyle
The welness industry
Luxury Automotive Industry
Merchandiding of luxury products
Strategy Business modeling
Luxury Jewelry Industry
Watch Business Fundamentals
French Etiquette
Private Jets and Yachting Industry
High Gastronomy
Wine Marketing
Fragrance and cosmectics Management
Tourism & Hospitality Management

Job Opportunities

Students with an MBA in Luxury & Fashion Management go on to work as:
International Brand Directors, International Product Managers, International Purchase Managers in Luxury Goods, International Luxury Business Development Managers, Buyers, and Fashion Consultants, etc.

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The School of Computer Science (SoCS) offers you a great opportunity for research and graduate studies. We have professors at the cutting edge of their fields, offer courses covering a wide range of computer science areas, and provide competitive financial incentives to eligible students. Read more
The School of Computer Science (SoCS) offers you a great opportunity for research and graduate studies. We have professors at the cutting edge of their fields, offer courses covering a wide range of computer science areas, and provide competitive financial incentives to eligible students. Graduate studies in the SoCS will enable you to engage in groundbreaking research that will prepare you for industry or further studies.

Masters Degree

The MSc in Computer Science emphasizes both academic and applied research that can contribute to further research, industry partnerships, and government programs. Interaction with other disciplines is encouraged and many faculty collaborate and work with leading industry partners. The MSc program is a two-year program during which you will complete five courses, give a public seminar and complete and successfully defend a thesis. Our MSc degree is also very time efficient and students can complete the program in as little as 4 semesters (16 months).

Areas of Study

-Applied Modelling (AM): Students working in this field will engage in research on topics such as graph theory and algorithms, formal specifications, hardware-software co-design, and interdisciplinary work in environmental modeling and disease spread modeling.
-Artificial Intelligence (AI): Students working in this field will engage in research on topics such as Bayesian techniques, artificial neural networks, evolutionary computation, fuzzy systems, datamining, pattern recognition, intelligent agents.
-Distributed Computing (DC): Students working in this field will engage in research on topics such as parallel computing, distributed systems, embedded systems, multi-agent systems, mobile computing, wireless networks, and ad hoc networks.
-Human Computer Interaction (HCI): Students working in this field will engage in research on topics such as context-aware systems, usability, interface design, mobile and ubiquitous computing.

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This course contributes to the achievement of one course objective. For the purpose of accomplishment of the course objective, this course will teach students to master fundamental techniques that are useful in making business decisions related to supply chain management. Read more
[[ Role and Purposes]]
This course contributes to the achievement of one course objective. For the purpose of accomplishment of the course objective, this course will teach students to master fundamental techniques that are useful in making business decisions related to supply chain management. The course will familiarize students with the basic knowledge of supply chain management, especially strategic aspects of supply chain management.

[[ Course Description]]
Supply chain management is one of the contemporary themes and one of the key Issues for Managers Today. The main purpose of the course is to provide basic knowledge of business logistics and supply chain management. The function of supply chain management is to design and manage the processes, assets, and flows of material and information required to satisfy customers’ demands. Efficient Supply Chain Management allows companies to develop, implement and sustain supplier management and collaborative strategies.
The course aims to provide students with the following knowledge: (i) Acquired knowledge of supply chain management topics and their successful implementation in a business setting; (ii) Practical ability to apply supply chain management theory to actual situations;
and (iii) Recognition of the importance of supply chain management research and modeling for successful business operations.
This course is helpful for students seeking careers such as consultants, supply chain managers, operational managers, general managers, financial analysts, and policy makers in manufacturing and service industries.

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