Master of Science in Computational Finance 2007
The Master of Science in Computational Finance is a joint degree between School of Computer Science, Telecommunications and Information Systems (CTI) and the Kellstadt Graduate School of Business (KGSB).
The objective of this 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.
FIND OUT MORE AT THE COMPUTATIONAL FINANCE WEBSITE
Chose a three course calculus sequence:
| Offered Winter | ||
| In class | Online | |
| √ | MAT 150 Calculus I and | |
| √ | MAT 151 Calculus II and | |
| Offered Winter | ||
| In class | Online | |
| MAT 160 Calculus for Mathematics and Science Majors I and | ||
| √ | MAT 161 Calculus for Mathematics and Science Majors II and | |
| Offered Winter | ||
| In class | Online | |
| MAT 170 Calculus I with Scientific Applications and | ||
| √ | MAT 171 Calculus II with Scientific Applications and | |
| Offered Winter | ||
| In class | Online | |
| √ | √ | CSC 261 Programming in C++ I |
| √ | √ | and CSC 262 Programming in C++ II |
| √ | √ | or CSC 309 Object-Oriented Programming in C++ |
| Offered Winter | ||
| In class | Online | |
| √ | √ | CSC 202 Discrete Structures for Computer Science |
| √ | √ | or CSC 321 Design and Analysis of Algorithms |
Courses (7) from the Kellstadt Graduate School of Business Offered Fall
| Offered Winter | ||
| In class | Online | |
| √ | √ | 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 and Gsb 420 | |
Courses (5) from the School of CTI
| Offered Winter | ||
| In class | Online | |
| 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 | |
Electives (1)
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 GPA of 3.75 or higher will graduate with distinction.
Your Application: Accepted throughout the Year
Students are admitted to the MS in Computational Finance throughout the year.
Admission to this joint program is open to both students from the School of CTI 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 School of CTI must submit GMAT or GRE scores. Upon completion of all requirements, these students will receive their M.S. degree.
Last Modified: Tuesday May 26, 2009