• University of York Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Imperial College London Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Regent’s University London Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
  • Swansea University Featured Masters Courses
De Montfort University Featured Masters Courses
Cardiff University Featured Masters Courses
Cass Business School Featured Masters Courses
University of Sussex Featured Masters Courses
Aberdeen University Featured Masters Courses
"financial" AND "modeling…×
0 miles

Masters Degrees (Financial Modeling)

  • "financial" AND "modeling" ×
  • clear all
Showing 1 to 15 of 62
Order by 
Program description. Policymakers are often forced to make decisions under conditions of uncertainty that have a direct impact on a country’s overall performance. Read more
Program description

Policymakers are often forced to make decisions under conditions of uncertainty that have a direct impact on a country’s overall performance. A thorough understanding of the dynamics of the aggregate economy is necessary, but not entirely sufficient, for success. Private firms must also be knowledgeable of the many sources of aggregate risk and uncertainty, and the analytical tools available to study the aggregate economy can be of much help.

Students in the Macroeconomic Policy and Financial Markets Program will obtain relevant knowledge about the central issues in macroeconomic and financial economics analysis, as well as the key tools, data and models.

Many government institutions now use models and techniques developed recently and not yet taught in most undergraduate courses. Its use has also spread to the private sector, where investment banks and consulting firms increasingly utilize them. Some examples are DSGE models, VAR’s, and ARCH. Students will learn not only how to use these modeling and statistical techniques but also how they are actually applied by government agencies and private financial firms.

Most central banks and many other government agencies throughout the world are establishing groups that build their forecasts by means of these techniques. More generally, investment banks and consulting firms are interested in professionals who have gained a good understanding of the functioning of the aggregate economy and of financial markets, who have been well trained and who can competently conduct empirical work. International finance and development agencies such as the IMF, WB, BERD, BIS, etc. often look for profiles of this type.

A limited number of places will be available to practitioners who would like to enroll in specific courses.

Degree

Upon successful completion of the program, students will receive a Master Degree in Specialized Economic Analysis awarded jointly with the Universitat Autònoma de Barcelona and the Universitat Pompeu Fabra.

Structure

The master program is a full-time nine-month program structured in three terms: Fall term (from September to December), Winter term (from January to March) and Spring term (from April to June). For more information, please download the academic calendar.

Students will be required to do an applied project during the second and third terms.

Students in this master are required to take the Math and Statistics Review course and the Computer Tools course offered in September. All students are required to pass the exams for these two courses. More information is available on the MPFM courses page.

Credits

The degree requires the successful completion of 60 ECTS (European Credit Transfer System) credits of graduate courses (6 credits are equivalent to a 40 hour course), some compulsory and some elective. The students' final program must be discussed with and approved by their Master Director.

Grades

The academic performance of each student is reviewed regularly. Attention is given to the maintenance of normal academic progress, through a combination of formal written examinations and coursework. Core courses will award grades. Some optional courses may be evaluated on a pass/fail or pass with honors/pass/fail basis.

Read less
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;

Read less
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 .

Read less
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 .

Read less
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.

Read less
Joining the Department as a postgraduate is certainly a good move. The Department maintains strong research in both pure and applied mathematics, as well as the traditional core of a mathematics department. Read more
Joining the Department as a postgraduate is certainly a good move. The Department maintains strong research in both pure and applied mathematics, as well as the traditional core of a mathematics department. What makes our Department different is the equally strong research in fluid mechanics, scientific computation and statistics.

The quality of research at the postgraduate level is reflected in the scholarly achievements of faculty members, many of whom are recognized as leading authorities in their fields. Research programs often involve collaboration with scholars at an international level, especially in the European, North American and Chinese universities. Renowned academics also take part in the Department's regular colloquia and seminars. The faculty comprises several groups: Pure Mathematics, Applied Mathematics, Probability and Statistics.

Mathematics permeates almost every discipline of science and technology. We believe our comprehensive approach enables inspiring interaction among different faculty members and helps generate new mathematical tools to meet the scientific and technological challenges facing our fast-changing world.

The MPhil program seeks to strengthen students' general background in mathematics and mathematical sciences, and to expose students to the environment and scope of mathematical research. Submission and successful defense of a thesis based on original research are required.

Research Foci

Algebra and Number Theory
The theory of Lie groups, Lie algebras and their representations play an important role in many of the recent development in mathematics and in the interaction of mathematics with physics. Our research includes representation theory of reductive groups, Kac-Moody algebras, quantum groups, and conformal field theory. Number theory has a long and distinguished history, and the concepts and problems relating to the theory have been instrumental in the foundation of a large part of mathematics. Number theory has flourished in recent years, as made evident by the proof of Fermat's Last Theorem. Our research specializes in automorphic forms.

Analysis and Differential Equations
The analysis of real and complex functions plays a fundamental role in mathematics. This is a classical yet still vibrant subject that has a wide range of applications. Differential equations are used to describe many scientific, engineering and economic problems. The theoretical and numerical study of such equations is crucial in understanding and solving problems. Our research areas include complex analysis, exponential asymptotics, functional analysis, nonlinear equations and dynamical systems, and integrable systems.

Geometry and Topology
Geometry and topology provide an essential language describing all kinds of structures in Nature. The subject has been vastly enriched by close interaction with other mathematical fields and with fields of science such as physics, astronomy and mechanics. The result has led to great advances in the subject, as highlighted by the proof of the Poincaré conjecture. Active research areas in the Department include algebraic geometry, differential geometry, low-dimensional topology, equivariant topology, combinatorial topology, and geometrical structures in mathematical physics.

Numerical Analysis
The focus is on the development of advance algorithms and efficient computational schemes. Current research areas include: parallel algorithms, heterogeneous network computing, graph theory, image processing, computational fluid dynamics, singular problems, adaptive grid method, rarefied flow simulations.

Applied Sciences
The applications of mathematics to interdisciplinary science areas include: material science, multiscale modeling, mutliphase flows, evolutionary genetics, environmental science, numerical weather prediction, ocean and coastal modeling, astrophysics and space science.

Probability and Statistics
Statistics, the science of collecting, analyzing, interpreting, and presenting data, is an essential tool in a wide variety of academic disciplines as well as for business, government, medicine and industry. Our research is conducted in four categories. Time Series and Dependent Data: inference from nonstationarity, nonlinearity, long-memory behavior, and continuous time models. Resampling Methodology: block bootstrap, bootstrap for censored data, and Edgeworth and saddle point approximations. Stochastic Processes and Stochastic Analysis: filtering, diffusion and Markov processes, and stochastic approximation and control. Survival Analysis: survival function and errors in variables for general linear models. Probability current research includes limit theory.

Financial Mathematics
This is one of the fastest growing research fields in applied mathematics. International banking and financial firms around the globe are hiring science PhDs who can use advanced analytical and numerical techniques to price financial derivatives and manage portfolio risks. The trend has been accelerating in recent years on numerous fronts, driven both by substantial theoretical advances as well as by a practical need in the industry to develop effective methods to price and hedge increasingly complex financial instruments. Current research areas include pricing models for exotic options, the development of pricing algorithms for complex financial derivatives, credit derivatives, risk management, stochastic analysis of interest rates and related models.

Facilities

The Department enjoys a range of up-to-date facilities and equipment for teaching and research purposes. It has two computer laboratories and a Math Support Center equipped with 100 desktop computers for undergraduate and postgraduate students. The Department also provides an electronic homework system and a storage cloud system to enhance teaching and learning.

To assist computations that require a large amount of processing power in the research area of scientific computation, a High Performance Computing (HPC) laboratory equipped with more than 200 high-speed workstations and servers has been set up. With advanced parallel computing technologies, these powerful computers are capable of delivering 17.2 TFLOPS processing power to solve computationally intensive problems in our innovative research projects. Such equipment helps our faculty and postgraduate students to stay at the forefront of their fields. Research projects in areas such as astrophysics, computational fluid dynamics, financial mathematics, mathematical modeling and simulation in materials science, molecular simulation, numerical ocean modeling, numerical weather prediction and numerical methods for micromagnetics simulations all benefit from our powerful computing facilities.

Read less
The Master of Science in Investment Management Program, MSc(IM) was first introduced in 1996 with the part-time study mode. Since its inception, the MSc(IM) program has been widely recognized by finance professionals as a premier academic program. Read more
The Master of Science in Investment Management Program, MSc(IM) was first introduced in 1996 with the part-time study mode. Since its inception, the MSc(IM) program has been widely recognized by finance professionals as a premier academic program.

In 2014, a full-time study mode was launched as an extension of the well-established part-time program, and designed to provide rigorous training for students interested in professional careers in the finance industry.

The full-time curriculum is structured to meet the growing and specialized demands of the industry. It begins with a solid foundation of courses in accounting, economics, quantitative and computing skills, investment analysis and financial derivatives, which form the core subjects in the Chartered Financial Analysts (CFA) and Chartered Alternative Investment Analyst (CAIA) examinations curriculum. Students can also further build on this broad knowledge base by choosing advanced courses and specialized electives that lead to concentrations in Asset Management or Risk Management.

Program Curriculum

The full-time MSc(IM) program commences in September and starts with six core courses (12 credits) as foundation training, and four required courses (8 credits).

Students can complete all course requirements in two semesters (12 months) for a total of 30 credits and declare one concentration: Asset Management or Risk Management. Students have the option to extend one more semester to 16 months for taking additional electives of up to 38 credits and declare both concentrations at no extra cost.

Core Courses (12 credits)
-ACCT 5150 Accounting Foundations (2 credits)
-ECON 5030 Foundations of Economic Analysis (2 credits)
-FINA 5120 Corporate Finance (2 credits)
-FINA 5210 Investment Analysis (2 credits)
-FINA 5290 Derivatives Analysis (2 credits)
-ISOM 5520 Statistics for Financial Analysis (2 credits)

Required Courses (8 credits)
-FINA 5220 Equity Investment Management (2 credits)
-FINA 5300 Advanced Derivatives Analysis (2 credits)
-FINA 5360 Fixed Income Analysis (2 credits)
-FINA 5840 Financial Modeling (2 credits)*

Elective Courses (10-18 credits)
-FINA 5420 Behavioral Finance (2 credits)*AM
-FINA 5150 Corporate Risk Management (2 credits)*RM
-FINA 5450 Hedge Funds (2 credits)*RM/AM
-FINA 5610 Real Estate Investment (2 credits)*RM/AM
-FINA 5440 Risk Management for Financial Institutions (2 credits)*RM
-FINA 5230 Sustainable Investing*RM/AM
-FINA 5390 Venture Capital and Private Equity (2 credits)*AM
-FINA6900K Alternative Investments (2 credits)*AM/RM
-FINA6900L Debt Restructuring (2 credits)*AM/RM
-FINA6900M Wealth Management (2 credits)*AM

* Concentrations
RM: Risk Management
AM: Asset Management

About HKUST Business School

Established in 1991, the School of Business and Management at the Hong Kong University of Science and Technology (HKUST Business School) is young, dynamic, and highly regarded, both for the quality of its programs and the impact of its research.

The HKUST Business School is the first business school in Asia to be awarded accreditation by both the US based Association to Advance Collegiate Schools of Business (AACSB International) and the European Quality Improvement System (EQUIS). The degrees offered by the HKUST Business School are recognized and respected worldwide.

The HKUST Business School is recognized as “Asia’s youngest but most respected business school” (Financial Times). Our programs are known for their cutting edge design and delivery, and are consistently ranked among the very best in the world by international media.

Careers & Enrichment

The HKUST MSc(IM) program helps prepare students to be ready to start their career. The HKUST Business School’s MSc Career & Professional Development team provides guidance and service for all full-time MSc students, which includes:
• Identifying the student’s unique career-related interests, values and capabilities;
• Enhancing job searching skills, preparing for workplace requirements and career management strategies;
• Accessing opportunities for internships and full-time employment with a diverse group of recruiting firms and organizations.

One-on-one career coaching, as well as career-related training/workshops will be provided for students when they join HKUST.

The MSc Program Office will also arrange various enrichment activities and luncheon talks for students. These will be a platform for networking with industry practitioners and senior management from industry in Hong Kong and Mainland China.

In addition, a study tour will be arranged for students during the semester break. The study tour will help students to better understand the industry landscape, develop applied skills in industry and company analysis, and network with industry practitioners outside of Hong Kong.

Read less
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).

Read less
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/

Read less
The BIM for Owners & Developers Global Executive Program provides key decision-making skills to effectively implement BIM methodology in business organizations, public administrations, and construction projects in various disciplines of the AECO industry. Read more
The BIM for Owners & Developers Global Executive Program provides key decision-making skills to effectively implement BIM methodology in business organizations, public administrations, and construction projects in various disciplines of the AECO industry. Our professors from all over the world are influential thought leaders in BIM, who will guide you through the program to ensure that you will master BIM project management in real life case studies and all the necessary competences.

Results/Why choose this program?

The aim of the BIM for Owners & Developers Global Executive Program is to demonstrate how to use BIM management tools to develop strategies, execute projects, improve outcomes and save money.

After you complete this program, you will have increased transparency, within a more integrated design and construction process, which will lead to a higher quality building, reduced costs and shorter time frames.

BIM for Owners and Developers helps to execute every project faster, easier and more cost-effectively. New tools and processes help the owner and developer become successful by creating streamlined project delivery. BIM a holistic process, touching every phase of a construction project and all the parties involved, from planning to completion and commissioning to handover.

Program Content

This executive program focuses on the challenges and opportunities that BIM offers to Owners and Developers.

The first module of the program focuses on theory delivered by the most respected professionals and researchers. The second module is all about real life case studies, explained in-person by their main characters.

All of the concepts from the first module are applied in the second module, to demonstrate the benefits of different types of projects in different situations on various continents. Finally, during the third module, participants create their own case studies.
These three modules will be held online. At the completion of the program, a meeting will be held which will provide you with the perfect opportunity to meet with the directors, advisory board member, professors and other participants of the program in person.
The first meeting is going to be held at the European BIM Summit next May, 2017, in Barcelona (organized by buildingSMART, the Association of Building Engineers of Barcelona and BIM Academy). The second edition of the course will take place during the celebration of BIM World in Munich next October, 2017. Each BIM for Owners and Developers meeting is open to all participants and guest board members.

FIRST MODULE: BIM FACILITY MANAGEMENT - 10 OWNER'S BIM DIMENSIONS

This 40-hour module is divided into ten BIM Dimensions for owners and developers. It is a structured way to present the full potential of this technology and tooling process.

These topics are covered in ten Units:

1. INTRODUCTION TO BIM
2. BIM IMPLEMENTATION
3. THE 3D MODEL
4. VIRTUAL PLANNING
5. BUDGET
6. ENERGY MODEL
7. MODEL FOR MAINTENANCE
8. BIM FOR HEALTH AND SAFETY
9. LEAN CONSTRUCTION
10. INDUSTRIALISED CONSTRUCTION

SECOND MODULE: 4 CASE STUDIES

This is a 40-hour module that presents four case studies. We have benchmarked the best case study methodologies used in business schools (such as Harvard, Aalborg University, and IESE) and we translated them for the construction sector.
We have asked 50 professionals and experts to create their own case studies, based on their own experiences. Each one presents the conceptual framework of a company or a project and the solution generated to solve it. Case studies cover all building fields and are divided into two sectors, buildings and infrastructures.
You will be able to choose any case study, based on your professional interests.

THIRD MODULE: WORK IN YOUR OWN PROJECT - CREATE YOUR BIP OR BEP

After the first theory module, where ten BIM Dimensions are dissected, and the second practical module, applying concepts to real case studies, it is time for you to create your own case study and simulate the decision-making process.
This last 40-hour module is designed to help you to decide on your own needs while working with a personal advisor. There are two possibilities: to create a BIP or to create a BEP.

BIP is the set of specific actions necessary to successfully implement BIM both in public and private companies. We will help you to set your own BIP action plan for your organization.

BEP is the acronym for BIM Execution Plan, and it is the main protocol document for a BIM project. BEP can be used to create a financial proposal for the delivery of a building or infrastructure with all the necessary documentation. You can choose to execute this plan with one of your own existing projects.

Program Features

Software (temporary licences): 3Squared, Aconex, Areo AS, Bentley Systems, Conject, Ecodomus, IEAG (International Engineering + Architecture Group), Matterport, Microdesk, IBM, Planon, SEPS, National Institute of Building Sciences, ONUMA, Granlund
Endorsed by:buildingSMART

Read less
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/

Read less
The programme is designed for those aspiring to hold positions requiring economic analyses and a high level of economic proficiency in business, industry and government. Read more

Introduction

The programme is designed for those aspiring to hold positions requiring economic analyses and a high level of economic proficiency in business, industry and government. The programme aims to provide its graduates with broad knowledge in a wide range of areas in economics including development economics, financial economics, industrial organization, international finance, trade, monetary economics, public finance, Islamic banking and finance, environmental economics, macroeconomic modeling and econometrics. Students are also trained in conducting research to enhance their report writing and problem solving skills in areas related to economics necessary to be effective economic analysts.

Benefits

The program combines theoretical understanding with practical application. It aims to groom thinking individuals who can apply sound economic principles at the macro and micro levels of the economy, translate theory to practice, critically assess specific situations and challenges, and develop sound solutions.

Visit the website http://fep.um.edu.my/student/postgraduate/mec

Language Requirement

International applicants who have not received a bachelor's degree from an institution in which the language of instruction is English must show proof of a minimum standard of proficiency in English. The minimum English language requirement for purposes of admission is:

(a) a score of 550 for paper-based total or 213 for computer-based total for the Test of English as a Foreign Language (TOEFL); or
(b) a band of 6 for the International English Testing System (IELTS).

Structure of Programme

Candidates of this programme are required to take four (4) Core Courses, one (1) Research Paper, and five (5) Optional Courses. The courses are :

Core Courses:

- EXGA6120 Advanced Microeconomics
- EXGA6121 Advanced Macroeconomics
- EXGA6122 Philosophy and Methodology of Research
- ESGC6356 Applied Econometrics
- EXGA6181 Research Paper

Optional Courses:

EXGA6103 Economic Development & Planning
EXGA6104 Trade and Growth
EXGA6112 The Malaysian Economy
EXGA6113 Financial Markets & Institutions
EXGA6114 Economic Policy Analysis
EXGA6115 Comparative Economic Systems
EXGA6301 Industrial Organization
EXGA6303 Applied Macroeconomics
EXGA6304 Money and Finance in Economic Development
EXGA6305 Public Economics
EXGA6306 Economics of Network Industries
EXGA6307 International Trade and Environment
EXGA6308 Sustainability and Growth
EXGA6309 Islamic Banking and Finance
EXGA6311 Issues in Economic Analysis
EXGA6312 Advanced International Trade
ESGC6115 Time Series Analysis
ESGC6328 Applied Financial Econometrics
ESGC6120 Statistical Methods

Duration of Programme

The minimum period of study is 3 semesters and the maximum period of study is 8 semesters. Each academic year consists of two semesters, commencing in September (Semester I) and February (Semester II) of each year.

Programme by Dissertation

The Faculty also offers the Master of Economics programme fully by dissertation. This programme is only open to graduates with exceptionally good qualifications (First Class Honours or CGPA of at least 3.7), and has experience in academic writing (proof of publication is necessary). This programme requires students to submit a dissertation of not exceeding 60,000 words at the end of the programme. In addition, the Faculty may set as a requirement for a candidate to follow prescribed courses. Those interested in the programme is advised to contact the Faculty for further details.

Programme Brochure - http://fep.um.edu.my/docs/librariesprovider7/Postgraduate-/fees-structure.pdf?sfvrsn=0

Facilities

The faculty is equipped with state-of-the-art facilities such as two computer teaching laboratories equipped with LCD and statistical software with a total capacity for 105 students, a student computer laboratory for 51 students and five lecture theatres.

In addition, the beautiful new building for postgraduate studies, houses 15 seminar rooms, a computer laboratory with a capacity for 54 computer workstations, 2 conference halls with a capacity of 100 persons each and 3 wireless LAN coverage (WiFi) zones within the faculty.

Indeed, FEA is one of the few premier institutions that can provide such quality, in terms of facilities.

Read less
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.

Read less
The MBA program at Alliant School of Management provides advanced business, management and analytical skills, and extensive practical experience in applying these skills, particularly in multicultural contexts. Read more
The MBA program at Alliant School of Management provides advanced business, management and analytical skills, and extensive practical experience in applying these skills, particularly in multicultural contexts. The MBA degree is designed to offer flexibility to students who have completed prior business courses. The program follows a cohort model, with all students taking the core curriculum courses as a cohort at the beginning of the program, followed by concentration tracks during their remaining program of study.

The MBA program is offered on-ground in San Diego, San Francisco, as well as in a fully online format.

ASM Business Administration Undergraduate students can accelerate their MBA using our Direct Pathway program.

Core Courses

All students take eight core courses and four concentration courses. Our core courses develop your managerial knowledge, analytical capacities, and cultural exposure:

International Marketing Management
Organizational Behavior and Global Leadership
Strategic Management
Statistical Analysis and Modeling for Business
Financial Management
Technology for Managerial Decision Making
Operations Management and Logistics
Management In the New Age (Capstone)

For Non Business Majors

Students who do not have an undergraduate business major are required to take 2 additional courses before starting their MBA curriculum of 12 courses. The total number of courses for non business majors is 14. The 2 additional courses are noted below.

Foundation Courses (2 courses - 6 units)

Financial and Managerial Accounting
International Economics and Trade

Concentration Options (4 courses - 12 units)

Customize your online MBA with one of over twenty concentration options. Our concentration programs increase your marketability with focused content in traditional, emerging, and interdisciplinary areas of study.

Concentration options include:

NGO Management
Entrepreneurship
Health Care Management
Human Resource Management
Information and Technology Management
Pharmaceutical Industry Management

The Alliant School of Management MBA Advantage

- A distinguished history in international management education
- World class faculty
- 45,000+ successful alumni in over 100 countries
- Industry Connections and Networking Opportunities
- Professional development opportunities: internships, community service learning, personal branding workshops
- Financial aid to qualified students
- Scholarship opportunities
- Flexible course formats for working professionals
-WASC-accredited University
SAP ERP software training

Read less
The MBA program at Alliant School of Management provides advanced business, management and analytical skills, and extensive practical experience in applying these skills, particularly in multicultural contexts. Read more
The MBA program at Alliant School of Management provides advanced business, management and analytical skills, and extensive practical experience in applying these skills, particularly in multicultural contexts. The MBA degree is designed to offer flexibility to students who have completed prior business courses. The program follows a cohort model, with all students taking the core curriculum courses as a cohort at the beginning of the program, followed by concentration tracks during their remaining program of study.

The MBA program is offered on-ground in San Diego, San Francisco, as well as in a fully online format.

ASM Business Administration Undergraduate students can accelerate their MBA using our Direct Pathway program.

Core Courses

All students take eight core courses and four concentration courses. Our core courses develop your managerial knowledge, analytical capacities, and cultural exposure:

International Marketing Management
Organizational Behavior and Global Leadership
Strategic Management
Statistical Analysis and Modeling for Business
Financial Management
Technology for Managerial Decision Making
Operations Management and Logistics
Management In the New Age (Capstone)

For Non Business Majors

Students who do not have an undergraduate business major are required to take 2 additional courses before starting their MBA curriculum of 12 courses. The total number of courses for non business majors is 14. The 2 additional courses are noted below.

Foundation Courses (2 courses - 6 units)

Financial and Managerial Accounting
International Economics and Trade

Concentration Options (4 courses - 12 units)

Customize your online MBA with one of over twenty concentration options. Our concentration programs increase your marketability with focused content in traditional, emerging, and interdisciplinary areas of study.

Concentration options include:

NGO Management
Entrepreneurship
Health Care Management
Human Resource Management
Information and Technology Management
Pharmaceutical Industry Management

The Alliant School of Management MBA Advantage

- A distinguished history in international management education
- World class faculty
- 45,000+ successful alumni in over 100 countries
- Industry Connections and Networking Opportunities
- Professional development opportunities: internships, community service learning, personal branding workshops
- Financial aid to qualified students
- Scholarship opportunities
- Flexible course formats for working professionals
-WASC-accredited University
SAP ERP software training

Read less

Show 10 15 30 per page


Share this page:

Cookie Policy    X