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

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 Econ 2010 Micro   BCOR 1000 3 BCOR 1100 Econ 2010 Micro 4 APPM 1350/MATH 1300 Calc 1 4/5 A&S Content 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 A&S Science Total 17/18 Fall Sophomore   BCOR 2000 Accounting 4 BCOR 2050 Marketing 3 APPM 2350/Math 2300 Calc 3 5 A&S Science A&S Content Total 18

Finance and Accounting Recommended Finance And Accounting Courses Course Subject BCOR 2000 Intro Acctg/Financial Analysis 3 BCOR 2100 Introductory Finance FNCE 3010 Corporate Finance FNCE 3020 Financial Markets And Institutions FNCE 4030 Investments FNCE 4040 Derivatives FNCE 4820 Fixed income Equities FNCE XXXX Quant Methods in Finance (TBA) Acctg 3220 Corporate Financial Reporting 1 Acctg 3230 Corporate Financial Reporting 2 Acctg 4250 Financial Statement Analysis Total 36 Required Finance/Accounting Courses Course   Subject BCOR 2000 Intro Acctg/Financial Analysis 4 BCOR 2100 Introductory Finance 3 FNCE 3010 Corporate Finance FNCE 3020 Financial Markets And Institutions FNCE 4030 Investments FNCE 4040 Derivatives Acctg 3220 Corporate Financial Reporting 1 One Elective From Specific List Total 25

Economics Required Economics Courses Course   Subject ECON 2010 Principles of Microeconomics 3 ECON 2020 Principles of Macroeconomics ECON 3070 Intermediate Microeconomic Theory ECON 4808 Introduction to Mathematical Economics ECON 4818 Introduction to Econometrics 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 APPM 2350 MATH 2300 Calculus III 5 APPM 3310 MATH 3130 Matrix Methods/Linear Algebra 3   One Listed Statistics/Probability Course One Additional Listed Math/Stats Course Total Hours 22-24

Statistical Applications/Software Minimum Data Analysis Data Analysis Emphasis APPM 1350 MATH 1300 Calculus I 4/5 APPM 1360 MATH 1400 Calculus II APPM 2350 MATH 2300 Calculus III 5 APPM 3310 MATH 3130 Matrix Methods 3 APPM 4570   Statistical Methods APPM 4580 Statistical Applications/Software Total Hours 22-24

Statistical Applications/Software Advanced Topics In Statistics Full Data Analysis APPM 1350 MATH 1300 Calculus I 4/5 APPM 1360 MATH 1400 Calculus II APPM 2350 MATH 2300 Calculus III 5 APPM 3310 MATH 3130 Matrix Methods 3 APPM 4570   Statistical Methods APPM 4580 Statistical Applications/Software APPM 7400 Advanced Topics In Statistics Total Hours 28-30

Math Theory Track Credit Subject Hours Calculus I 4/5 Calculus II Course   Subject Hours APPM 1350 MATH 1300 Calculus I 4/5 APPM 1360 MATH 1400 Calculus II APPM 2350 MATH 2300 Calculus III 5 APPM 3310 MATH 3130 Matrix Methods 3 APPM 3570 MATH 4510 Applied Probability APPM 3050 Scientific Computing - Matlab APPM 4520 MATH 4520 Intro To Mathematics Statistics APPM 4540 MATH 4540 Intro To Time Series APPM 4560 Markov Processes, Monte Carlo Total Hours 31/33

Contacts Jerry Madigan: madigan@colorado.edu Documents are on my website (find link through the Leeds faculty listing) Dr. Eric Hughson: Eric.Hughson@colorado.edu Contacts in Economics, Mathematics and Applied Mathematics available at website