1. Quantitative Finance Certificate Program
University of Colorado at Boulder
October 21, 2004

2. 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

3. 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

4. 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

5. 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

6. Placement Help Strong support from Career Services
Potential employers will be educated regarding the program
A very high placement percentage expected

7. 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

8. 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

9. 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 Calc 1
4/5
A&S Content
Total
17/18
Spring Frosh
APPM 1360/MATH 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 Calc 3 5
A&S Science
A&S Content
Total 18

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

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