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Quantitative Finance Certificate Program. University of Colorado at Boulder. October 21, 2004. What Is Quantitative Finance?. Bridge the gap between quantitative studies and Finance Utilizes existing courses at CU Cooperative effort of Leeds, Economics, Mathematics and Applied Mathematics. - PowerPoint PPT Presentation
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Quantitative Finance Certificate Program
University of Colorado at BoulderUniversity of Colorado at Boulder
October 21, 2004
What Is Quantitative Finance?
• Bridge the gap between quantitative studies and Finance
• Utilizes existing courses at CU
• Cooperative effort of Leeds, Economics, Mathematics and Applied Mathematics
What Types of Jobs?
• Fixed income investment analyst• Wall Street Sales & Trading (research/trading):
– Fixed income– Derivatives
• Pension consultant• Portfolio analyst/manager• Quantitative equity analyst• Treasury analyst
Is There a Market?
• These Universities offer graduate programs:– Carnegie Mellon
– NYU
– Stanford
– Chicago
– Cal-Berkley
– Cornell
– Columbia
– Purdue
– Oklahoma State
• Graduates average $100,00 to $130,000 total comp
What Is Required?
• About 60% more work in comparison to and average Leeds student for four years, likely with a lower GPA
• Very strong mathematics skills– A grade of “B” is required in Calc 1,2,3
• An interest in analysis and “figuring out things”
• Depending on the path you choose, maybe more than 8 semesters
Placement Help
• Strong support from Career Services
• Potential employers will be educated regarding the program
• A very high placement percentage expected
Many Paths to Follow
• Immediate relevant experience admission to top graduate schools many options
• Immediate enrollment in graduate quant program
• Phd in Finance or Accounting
Business Curriculum Exceptions
• Math Modules are replaced– Calc 1 (APPM 1360 or MATH 1300) replaces 1081– Linear Algebra (APPM 3310 or MATH 3130) replace 1071
• BCOR 2010 (Business Statistics) is replaced– Any of the 3000/4000 level stats courses listed in our guide
• Stats becomes a co-requisite of BCOR 2100– For regular students, it is a prerequisite
First Three Semesters
Fall Frosh
BCOR 1000 3
BCOR 1100 3
Econ 2010 Micro 4
APPM 1350/MATH 1300 Calc 1 4/5
A&S Content 3
Total 17/18
Spring Frosh
APPM 1360/MATH 1400 Calc 2 4/5
Econ 2020 Macro 4
SYST 2010 VBA Programming 3
A&S Content 3
A&S Science 3
Total 17/18
Fall Sophomore
BCOR 2000 Accounting 4
BCOR 2050 Marketing 3
APPM 2350/Math 2300 Calc 3 5
A&S Science 3
A&S Content 3
Total 18
Finance and Accounting
Recommended Finance And Accounting Courses
Course Subject
BCOR 2000 Intro Acctg/Financial Analysis 3
BCOR 2100 Introductory Finance 3
FNCE 3010 Corporate Finance 3
FNCE 3020 Financial Markets And Institutions 3
FNCE 4030 Investments 3
FNCE 4040 Derivatives 3
FNCE 4820 Fixed income 3
FNCE 4820 Equities 3
FNCE XXXX Quant Methods in Finance (TBA) 3
Acctg 3220 Corporate Financial Reporting 1 3
Acctg 3230 Corporate Financial Reporting 2 3
Acctg 4250 Financial Statement Analysis 3
Total 36
Required Finance/Accounting Courses
Course Subject
BCOR 2000 Intro Acctg/Financial Analysis 4
BCOR 2100 Introductory Finance 3
FNCE 3010 Corporate Finance 3
FNCE 3020 Financial Markets And
Institutions 3
FNCE 4030 Investments 3
FNCE 4040 Derivatives 3
Acctg 3220 Corporate Financial Reporting 1 3
One Elective From Specific List 3
Total 25
Economics
Required Economics Courses
Course Subject
ECON 2010 Principles of Microeconomics 3
ECON 2020 Principles of Macroeconomics 3
ECON 3070 Intermediate Microeconomic Theory 3
ECON 4808 Introduction to Mathematical Economics 3
ECON 4818 Introduction to Econometrics 3
Total 15
Note: you can take ECON 1000/3070/3080 rather than 2010/2020/3070
Systems/Programming
• At least one programming course is required– Visual Basic– Java– C++
• Most Leeds students will take SYST 2010– Visual Basic (used in Excel macros)– Counts as a business elective
• An additional course is recommended
Mathematics/Statistics
Required Mathematics and Statistics Courses
APPM 1350 MATH 1300 Calculus I 4/5
APPM 1360 MATH 1400 Calculus II 4/5
APPM 2350 MATH 2300 Calculus III 5
APPM 3310 MATH 3130 Matrix Methods/Linear Algebra 3
One Listed Statistics/Probability Course 3
One Additional Listed Math/Stats Course 3
Total Hours 22-24
Minimum Data Analysis
Data Analysis Emphasis
APPM 1350 MATH 1300 Calculus I 4/5
APPM 1360 MATH 1400 Calculus II 4/5
APPM 2350 MATH 2300 Calculus III 5
APPM 3310 MATH 3130 Matrix Methods 3
APPM 4570 Statistical Methods 3
APPM 4580 Statistical Applications/Software 3
Total Hours 22-24
Full Data Analysis
APPM 1350 MATH 1300 Calculus I 4/5
APPM 1360 MATH 1400 Calculus II 4/5
APPM 2350 MATH 2300 Calculus III 5
APPM 3310 MATH 3130 Matrix Methods 3
APPM 4570 Statistical Methods 3
APPM 4580 Statistical Applications/Software 3
APPM 7400 Advanced Topics In Statistics 3
APPM 7400 Advanced Topics In Statistics 3
Total Hours 28-30
Math Theory Track
Credit
Course Subject Hours
APPM 1350 MATH 1300 Calculus I 4/5
APPM 1360 MATH 1400 Calculus II 4/5
APPM 2350 MATH 2300 Calculus III 5
APPM 3310 MATH 3130 Matrix Methods 3
APPM 3570 MATH 4510 Applied Probability 3
APPM 3050 Scientific Computing - Matlab 3
APPM 4520 MATH 4520 Intro To Mathematics Statistics 3
APPM 4540 MATH 4540 Intro To Time Series 3
APPM 4560 Markov Processes, Monte Carlo 3
Total Hours 31/33
Contacts
• Jerry Madigan: [email protected]– Documents are on my website (find link through the
Leeds faculty listing)
• Dr. Eric Hughson: [email protected]
• Contacts in Economics, Mathematics and Applied Mathematics available at website
