College of Science and Health > Academics > Mathematical Sciences > Undergraduate > Mathematical Sciences (BA) > Concentration Requirements > Financial Mathematics Concentration

Financial Mathematics Concentration

Financial mathematics concentration includes the set of courses that constitute the Finance Minor from the Driehaus College of Business. It includes courses that are relevant to contemporary financial mathematical modeling, along with courses in finance and their prerequisites.

Prerequisite Requirements

Students must meet the prerequisites of ACC 101 and ECO 105 prior to some courses in the Finance Minor.

Course Requirements

Course Title Quarter Hours
MAT 304DIFFERENTIAL EQUATIONS4
or MAT 385 NUMERICAL ANALYSIS I
MAT 351PROBABILITY AND STATISTICS I4
MAT 352PROBABILITY AND STATISTICS II4
MAT 353PROBABILITY AND STATISTICS III4
MAT 355STOCHASTIC PROCESSES4
MAT 368MATHEMATICS FOR FINANCE4

Finance Minor Requirements Embedded in the Financial Mathematics Concentration

Course Title Quarter Hours
FIN 310INTRODUCTION TO FINANCE4
FIN 311CORPORATE FINANCE4
FIN 330INVESTMENTS: THEORY & PRACTICE4
Select two electives from the following:8
FIN 313
INVESTMENT BANKING
FIN 320
MONEY AND BANKING
FIN 323
COMMERCIAL BANKING
FIN 324
BANKING & CREDIT ANALYSIS
FIN 333
FINANCIAL STATEMENTS ANALYSIS
FIN 335
PORTFOLIO MANAGEMENT
FIN 336
EQUITY RESEARCH
FIN 340
INTERNATIONAL FINANCE
FIN 355
GLOBAL IPOs & VENTURE CAPITAL
FIN 362
ENTERPRISE RISK MANAGEMENT
FIN 363
DERIVATIVES: PRICING & APPLICATIONS
FIN 365
PRINCIPLES OF RISK & INSURANCE
FIN 366
FINANCIAL MODELING
FIN 380
CASES IN FINANCIAL DECISION MAKING
FIN 381
BEHAVIORAL FINANCE
FIN 393
FINANCE INTERNSHIP
FIN 395
INVESTMENT SEMINAR
FIN 398
SPECIAL TOPICS
FIN 399
INDEPENDENT STUDY
RE 350
REAL ESTATE ANALYSIS

Open Electives

Open elective credit also is required to meet the minimum graduation requirement of 192 hours.

Additional Recommended Courses

Course Title Quarter Hours
MAT 341
STATISTICAL METHODS USING SAS
MAT 370
ADVANCED LINEAR ALGEBRA
MAT 358
APPLIED TIME SERIES AND FORECASTING
MAT 356
APPLIED REGRESSION ANALYSIS

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