Doctoral

Core and Field Courses in Finance

The 21 semester hours of Finance included in the Ph.D. program must include the following three core courses:

Core Courses

  • Financial Management I (Financial Theory, FINA 8338)
  • Financial Management II (Corporate Finance, FINA 8339)
  • Investments (FINA 8368)

Other courses included in Ph.D. Finance fields are:

Other Ph.D. Finance Courses

  • Price Theory I (Microeconomics, FINA 8397)
  • Econometrics I (FINA 8397)
  • Continuous Time Finance (FINA 8397)
  • Fixed Income (FINA 8397)
  • Derivatives (Options and Futures, FINA 8397)
  • Empirical Paper Seminar (FINA 8397)
  • Empirical Methods in Finance (FINA 8397)
  • Econometrics II (FINA 8397)

Neither foundation finance courses nor any 6000 level finance courses may be applied to the core requirement of 21 semester hours of finance. The grades earned in the Ph.D. finance core and field courses must satisfy the college's grade point average requirements.

 

Research Requirements

The 12 credit hours of research requirements (4 research courses) must be selected from the courses listed below or other research courses in consultation with the student’s Advisory Committee and the Ph.D. Program Coordinator:

  • Quantitative Economic Analysis ECON 6331
  • Workshop in Research Methods I ECON 6390
  • Applied Econometrics ECON 6394
  • Econometrics I ECON 7331
  • Microeconomic Theory II ECON 7342
  • Game Theory and Economic Behavior ECON 7349
  • Computational Economics ECON 7362
  • Experimental Economics ECON 7364
  • Industrial Organization ECON 7376
  • Time Series Analysis ECON 7393
  • International Monetary ECON 7398
  • Microeconomic Theory III ECON 8342
  • Econometrics II ECON 8331
  • Probability Model and Its Applications DISC 7350
  • Forecasting Models DISC 7351
  • Non-Parametric Statistics DISC 7352
  • Statistical Methods in Research DISC 7358
  • Multivariate Analysis DISC 8366
  • Time Series Analysis DISC 8368
  • Introduction to Stochastic Processes DISC 8370
  • Dynamic Programming DISC 8373
  • Mathematics of Financial Derivatives DISC 8397
  • Linear Regression DISC 8397
  • Theory of Matrices MATH 6304
  • Theory of Functions of a Real Variable MATH 6320-6321
  • Differential Equations MATH 6324-6325
  • Partial Differential Equations MATH 6326-6327
  • Applicable Analysis MATH 6360-6361
  • Optimization and Variational Methods MATH 6366-6367
  • Numerical Analysis MATH 6370-6371
  • Numerical Ordinary Differential Equations MATH 6372
  • Numerical Partial Differential Equations MATH 6374
  • Numerical Linear Algebra MATH 6376
  • Mathematical Probability MATH 6380-6381
  • Probability Models and Mathematical Statistics MATH 6382-6383
  • Non-parametric Statistics MATH 6387
  • Statistical Inference and Multivariate Analysis MATH 6388-6389
  • Functional Analysis MATH 7320-7321
  • Selected Topics in Applied Mathematics MATH 7394
  • Selected Topics in Numerical Analysis MATH 7396
  • Selected Topics in Probability MATH 7397
  • Introduction to Numerical Analysis COSC 6303
  • Data Structures and Algorithms COSC 6320
  • Analysis of Algorithms - Mathematical Techniques COSC 6325
  • Numerical Analysis COSC 6364

Any course in which a grade of B - or below has been earned will not count as hours toward satisfying this research requirement.

Supporting Field Coursework

Selection of a supporting field and the specific courses used to satisfy the supporting field requirements shall be made by the student subject to approval by his or her Advisory Committee. The supporting field can be chosen within the College (e.g., accountancy and taxation, international business, management, marketing, Supply Chain Management, and statistics and operations research) or outside the BCB (e.g., economics, mathematics, statistics, computer science and industrial engineering).

Selection of specific graduate-level courses must meet any requirements that may exist in the selected department. Supporting fields may be selected outside the BCB when such areas are compatible with the student's program of study. No 6000 level courses may be taken without the permission of the Ph.D. Coordinator. The student must achieve a grade of B or better in each of the three courses and an overall grade average of 3.25 in the supporting field.

Typical Coursework

 

1st Year

2nd Year

3rd Year

Fall

-Econometrics I

-Fin Mgmt I

-Price Theory I

-Empirical Methods

-Fin Mgmt II

-Elective

-Supporting Field Courses & Electives

-Empirical Paper Presentation

Spring

-Econometrics II

-Investments

-Elective

-Empirical Paper

-Derivatives

-Elective

-Supporting Field Courses & Electives

-Prepare for Dissertation Proposal

Summer Qualifying Exam Comprehensive Exam Dissertation Proposal

 

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