Purpose. Interdisciplinary Curriculum
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1 Quantiitatiive Fiinance at the Uniiversiity of Collorado at Boullder The Quantitative Finance track is one of two curricular options of the Actuarial Studies and Quantitative Finance Certificate Program. Successful completion results in the award of the Quantitative Finance Certificate by the Leeds School of Business and the College of Arts & Sciences. The certificate is independent of any major course of study and is open to all students. The requirements are extensive and students majoring in Applied Mathematics, Business, Economics or Mathematics will find it is easiest to fit the Quantitative Finance requirements with their major requirements. Purpose The Quantitative Finance is designed to provide candidates with a very strong analytical grounding for application in the business environment, particularly in the finance function. Recruiters have consistently listed strong analytical skills highly on their list of desired characteristics in job candidates, even more so when recruiting to fill highly competitive complex financial analysis positions. Interdisciplinary Curriculum Quantitative Finance is jointly sponsored by the Leeds School of Business and the College of Arts & Sciences and requires coursework from the Finance and Accounting Divisions in the Leeds School of Business and from the Mathematics, Economics and Applied Mathematics Departments in the College of Arts & Sciences. Potential Career Impact Quantitative Finance is designed to provide a competitive preparatory advantage for students interested in successful careers in a variety of fields. Examples of the career areas for which the preparation provided by Quantitative Finance is particularly well suited include: Financial consulting Pension consulting Investment management research Portfolio management Corporate treasury functions Institutional securities sales & trading Institutional financial marketing Investment banking Due to the scarcity of competitive programs nationally which combine rigorous training in quantitative methods and extensive finance training, it is expected that 1
2 successful candidates will encounter strong job demand in areas of direct interest. In addition, the Quantitative Finance curriculum provides a very strong foundation for students interested in additional academic training in the future. Rigorous Requirements Quantitative Finance requirements constitute a very high level of academic rigor. Both initial and on-going academic performance requirements are greater than for any major area of study. At a minimum, successful candidates are required to complete: 22 credit hours of mathematical/statistical coursework 13 credit hours of economics coursework 25 hours of finance/accounting coursework 3 credit hours of computer programming coursework. Most successful candidates will complete mathematics/statistics and accounting coursework in excess of the minimum required. The program is designed for students with strong academic credentials and a genuine interest in analytical work. Candidates are required to achieve a grade of at least B in each of Calculus 1, 2 and 3 (MATH 1300/2300/2400 or APPM 1350/1360/2350) for admission to the program. Candidates may apply for provisional admission after receiving a grade of B in Calculus 1 or advanced placement credit for Calculus 1. On an on-going basis, candidates must maintain a 3.0 grade point average in all coursework used to satisfy program requirements. Faculty Mentoring Candidates in good standing the Quantitative Finance program are advised by a faculty member in their major area of study in addition to any advising services provided by the school. The advising faculty members communicate regularly with faculty in other involved departments to coordinate optimal schedules for students of any major. The following faculty members are members of the Certificate Committee and are available to advise students. Gerald J. Madigan (Business) madigan@colorado.edu Dr. Anne Dougherty (Applied Mathematics) anne.dougherty@colorado.edu Dr. David Grant (Mathematics) david.grant@colorado.edu Dr. Kent Goodrich (Mathematics) robert.goodrich@colorado.edu Dr. Nick Flores (Economics) floresn@stripe.colorado.edu 2
3 Specific Curriculum Requirements Listed below is the minimum coursework required to obtain the Quantitative Finance Certificate. Most students go beyond the minimum requirements. Students can apply to the program after completing Calculus 1. Students may withdraw at any time without impacting their major field of study. APPM 1350*/ MATH 1300* Calculus 1 4/5 credits APPM 1360/ MATH 2300 Calculus 2 5/5 credits APPM 2350/ MATH 2400 Calculus 3 4/5 credits APPM 3310*/ MATH 3130* Linear Algebra 3 credits Two upper-level statistics courses* 6 credits ECON 1000* Introductory Micro/Macro 4 credits ECON 3070* Intermediate Micro 3 credits ECON 3080 Intermediate Macro 3 credits ECON 4818 Intro to Econometrics 3 credits BCOR 2000* Intro Accounting/Financial Analysis 4 credits BCOR 2100* Intro Finance 3 credits FNCE 3010* Corporate Finance 3 credits FNCE 3020* Fin Markets & Institutions 3 credits FNCE 4030* Investments 3 credits FNCE 4040* Derivative Securities 3 credits One Finance elective* ACCT 3020 Corporate Reporting 1 One Programming 3 credits The * indicates courses that fulfill specific or area of emphasis requirements for the Business major with an emphasis in Finance. Only one statistics course is required for the Business major. Revision of Your First Semester Schedule Freshmen planning to pursue the Quantitative Finance Certificate should revise their fall semester schedule as follows: Drop MATH 1071 or 1081 and add APPM 1350 or MATH 1300 Possibly drop ECON 2010 and add ECON Note that if you make this change, you will need to take ECON 3070 and ECON 3080 to fulfill your major requirements ( a total of 10 credit hours of economics rather than 8) Consider adding SYST 2010 Visual Basic Programming or an Arts & Science course which fulfills a content area requirement. Business students interested in the program are strongly encouraged to contact Gerald Madigan as soon as possible. 3
4 Required Finance/Accounting s Minimum Certificate Requirements 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 (1) Total 25 Required Economics s ECON 1000 Principles of Economics 4 (2) ECON 3070 Intermediate Microeconomic Theory 3 (2) ECON 3080 Intermediate Macroeconomic Theory 3 (2) ECON 4818 Introduction to Econometrics 3 Total 13 Required Systems s One Programming/Systems Class 3 (3) Total 3 Required Mathematics and Statistics s APPM 1350 MATH 1300 Calculus I 4 APPM 1360 MATH 2300 Calculus II 5 APPM 2350 MATH 2300 Calculus III 4 APPM 3310 MATH 3130 Matrix Methods 3 One Listed Statistics/Probablilty 3 (4) One Additional Listed Math/Stats 3 (5) Total Hours 22 Notes: See the "Electives" tab for notes 4
5 Finance and Accounting Electives (Note 1) FNCE XXXX Quant Methods in Finance (TBA) 3 FNCE 4820 Seminar in Fixed Income 3 FNCE 4050 Capital Investment Analysis 3 Acctg 3230 Corporate Financial Reporting 2 3 Additional Useful Finance and Accounting s FNCE 4820 Seminar in Investment Management (Equities) 3 Acctg 4250 Financial Statement Analysis 3 Potential Economics Substitution (Note 2) Substitute the following for ECON 1000 & ECON 3080 (less rigor) ECON 2010 Microeconomic Theory 4 ECON 2020 Macroeconomic Theory 4 Programming / Systems Electives (Note 3) CSCI 1300 C++ Programming 3 SYST 2010 Visual-Language Programming 3 APPM 2710 Java 1 Training and Mathematical Algorithms 3 APPM 2750 Java 2 Training and Mathematical Algorithms 3 Additional Useful Programming / Systems s SYST 4070 Decision Modeling Systems 3 APPM 3050 Scientific Computing-Matlab 3 Statitistics / Probability Electives (Note 4) APPM 3570 MATH 4510 Mathematical Probability 3 APPM 4570 Statistical Methods: (3) APPM ECON 3818 Introduction to Statistics/Computer Applications 3 Mathematics and Statistics Electives (Note 5) APPM 3570/Math 4510 or APPM 4570* 3 APPM 4580 Statistical Applications-Software and Methods 3 APPM 4520 MATH 4520 Mathematical Statistics 3 APPM 7400 Advanced Topics In Statistics 3 APPM 4540 MATH 4540 Introduction to Time Series 3 APPM 4650 MATH 4650 Numerical Analysis 3 APPM 3050 Scientific Computing-Matlab 3 * If the course is not used to satisfy Note 4. 5
6 Minimum For Certificate Total A&S Area Of Business Grad Track Sample Schedule Business Content Emphasis Electives s Items Required Actual Fall Frosh Spring Junior BCOR APPM FNCE Econ Bus Elect APPM FNCE A&S Content 3 BCOR Total 14 Total 15 Spring Frosh Fall Senior APPM A&S Content Econ Bus Elect SYST FNCE Elective A&S Content 3 BCOR A&S Science 3 A&S Content Total 17 Total 15 Fall Soph Spring Senior BCOR Bus Elect 3 7 BCOR BCOR APPM Econ Econ Bus Elect A&S Content 3 BCOR Total 17 Total 15 Spring Soph Fall 5th BCOR APPM A&S Content 3 3 A&S Content 3 3 BCOR Total 16 Total 0 Fall Junior Spring 5th FNCE FNCE APPM Acctg WRTG Total 15 Total 0 Total Hours Above: 124 6
7 Recommended Finance And Accounting s 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 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 34 Recommended Economics s ECON 1000 Principles of Economics 4 ECON 3070 Intermediate Microeconomic Theory 3 ECON 3080 Intermediate Macroeconomic Theory 3 ECON 4818 Introduction to Econometrics 3 Total 13 Recommended Systems s SYST 2010 Visual-Language Programming 3 CSCI 1300 C++ Programming 3 SYST 4070 Decision Modelling Systems 3 Total 9 7
8 Recommended Mathematics work (Applied Mathematics Dept or Mathematics Dept) Statistics Theory ( Best prep for graduate study) Credit Hours APPM 1350 MATH 1300 Calculus I 4 APPM 1360 MATH 2300 Calculus II 5 APPM 2350 MATH 2400 Calculus III 4 APPM 3310 MATH 3130 Linear Algebra/Maris Methods 3 APPM 3570 MATH 4510 Applied Probablity 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 Data Analysis For Typical Curriculum* APPM 1350 MATH 1300 Calculus I 4 APPM 1360 MATH 2300 Calculus II 4 APPM 2350 MATH 2400 Calculus III 4 APPM 3310 MATH 3130 Matrix Methods 3 APPM 3570 MATH 4510 Applied Probability 3 APPM 4520 MATH 4520 Intro To Mathematics Statistics 3 APPM 7400 Advanced Topics In Statistics 3 APPM 7400 Advanced Topics In Statistics 3 Total Hours 27 Data Analysis Emphasis / Minimum Requirements APPM 1350 MATH 1300 Calculus I 4 APPM 1360 MATH 2300 Calculus II 4 APPM 2350 MATH 2400 Calculus III 4 APPM 3310 MATH 3130 Linear Algebra 3 APPM 3570 MATH 4510 Intro To Mathematics Statistics 3 APPM 4520 MATH 4520 Total Hours
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