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MS in Computational Finance 
The Master of Science in Computational Finance is a joint degree between College of Computing and Digital Media (CDM) and the Kellstadt Graduate School of Business (KGSB).
 

MS in Computational Finance 2009


The objective of the Master of Science in Computational Finance program is to offer students the opportunity to acquire both the ability to understand existing financial models in a quantitative and mathematical way, and the ability to implement these models in the form of computer programs. This program differs from a regular MS in Finance because of a stronger mathematical component and the addition of an intensive computational component.

The program aims to produce graduates with the required qualifications to become "quantitative financial analysts". The Computational Finance graduates will be able to apply these quantitative tools to solve complex problems in the areas of portfolio management, risk management, and financial engineering.

Please note: Students who choose to apply to the MS in Computational Finance program must submit GMAT or GRE scores.

Find out more at the Computational Finance Web Page


Grade and GPA Requirements


Grades: Students must receive a grade of B- or better in each prerequisite course and a C- or better in all other courses.

GPA: Students must maintain a graduate level GPA of 2.50 or higher while pursuing their degree. Students will not be approved for graduation with less than a 2.50 GPA. Students with a 3.75 or higher will graduate with distinction.


Program Requirements 2009


To view Graduate Program Requirements for previous years click here.
M.S. in Computational Finance
Master of Science in Computational Finance 2009

Prerequisite Courses (5)

Choose a two-course calculus sequence:
Offered Fall 
In classOnline 
√        MAT 150 Calculus I   
         and  MAT 151 Calculus II   
 
OR
Offered Fall 
In classOnline 
√        MAT 160 Calculus for Mathematics and Science Majors I   
         and  MAT 161 Calculus for Mathematics and Science Majors II   
 
OR
Offered Fall 
In classOnline 
√        MAT 170 Calculus I with Scientific Applications   
         and  MAT 171 Calculus II with Scientific Applications [prereq   
 
AND
Offered Fall 
In classOnline 
√ √      CSC 261 Programming Languages I: C/C++   
         and  CSC 262 Programming Languages II: C/C++   
√ √      or  CSC 309 Object-Oriented Programming in C++   
 
AND
Offered Fall 
In classOnline 
√ √      CSC 202 Discrete Structures for Computer Science   
         or  CSC 321 Design and Analysis of Algorithms   
 
AND GRE or GMAT

Required Courses (13)

Courses from the Kellstadt Graduate School of Business (7)
Offered Fall 
In classOnline 
√ √      ACC 500 Financial Accounting   
√        ECO 555 Economics for Decision-Making   
√ √      FIN 555 Financial Management   
√ √      FIN 523 Investment Analysis   
√        FIN 525 Portfolio Management   
√        FIN 562 Derivatives : Pricing and Risk Management   
         FIN 662 Advanced Derivatives: Pricing and Applications Fin 555 and Fin 562   
 
Courses from the College of CDM (5)
Offered Fall 
In classOnline 
√ √      CSC 423 Data Analysis and Regression   
         CSC 425 Time Series Analysis and Forecasting   
         CSC 431 Scientific Computing   
         or  CSC 485 Numerical Analysis   
         CSC 521 Monte Carlo Algorithms   
         CSC 696 Master's Research   
√        or  CSC 697 Graduate Internship   
         or  CSC 559 Software Engineering for Financial Markets   
 
Electives (1) - One elective chosen from any 500 level course in the College of CDM.
All courses in degree
 
  • ACC 500 Financial Accounting
  • CSC 202 Discrete Structures for Computer Science
  • CSC 261 Programming Languages I: C/C++
  • CSC 262 Programming Languages II: C/C++
  • CSC 309 Object-Oriented Programming in C++
  • CSC 321 Design and Analysis of Algorithms
  • CSC 423 Data Analysis and Regression
  • CSC 425 Time Series Analysis and Forecasting
  • CSC 431 Scientific Computing
  • CSC 485 Numerical Analysis
  • CSC 521 Monte Carlo Algorithms
  • CSC 559 Software Engineering for Financial Markets
  • CSC 696 Master's Research
  • CSC 697 Graduate Internship
  • ECO 555 Economics for Decision-Making
  • FIN 523 Investment Analysis
  • FIN 525 Portfolio Management
  • FIN 555 Financial Management
  • FIN 562 Derivatives : Pricing and Risk Management
  • FIN 662 Advanced Derivatives: Pricing and Applications Fin 555 and Fin 562
  • MAT 150 Calculus I
  • MAT 151 Calculus II
  • MAT 160 Calculus for Mathematics and Science Majors I
  • MAT 161 Calculus for Mathematics and Science Majors II
  • MAT 170 Calculus I with Scientific Applications
  • MAT 171 Calculus II with Scientific Applications [prereq
 
Admissions to Computational Finance Program: 

Students are admitted to the MS in Computational Finance throughout the year.

Admission to this joint program is open to both students from the College of CDM and the College of Commerce. All applicants must:

  • Have successfully completed a bachelor's degree from an accredited four year United States institution, or its equivalent;
  • Have a minimum 3.2 GPA earned during the junior and senior academic years;
  • Submit a GMAT or a GRE score.

International students also must submit a TOEFL score.

Students who choose to apply to the business school must submit their scores on the Graduate Management Admissions Test (GMAT). Upon completion of all requirements, these students will receive their M.S. degree from the Kellstadt Graduate School of Business.

Students who chose to apply to the College of CDM must submit GMAT or GRE scores. Upon completion of all requirements, these students will receive their M.S. degree.

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