Fox School of Business

Required Background

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MSFE Admissions Requirement: A strong record of achievement in quantitative coursework including multivariate calculus, linear algebra and advanced statistics and probability.

Area:          Calculus
                  Equivalent at Temple University:

                  0086 Calculus II
                  Topics include the definite integral and the Fundamental                   Theorem of Calculus, applications of the definite integral,                   techniques of integration, improper integrals and sequences and                   series, including power and Taylor series.

                  0127. Calculus III
                  Topics include vectors in two or three dimensions, lines and                   planes in space, parametric equations, vector functions and their                   derivatives, functions of several variables, partial derivatives,                   multiple integrals, line integrals, and Green`s, Divergence and                   Stoke`s theorems.

Area:          Linear Algebra
                  Equivalent at Temple University:

                  0147. Linear Algebra
                  This course covers vectors and vector spaces, matrices,                   determinants, systems of linear equations, linear                                     transformations, inner products and orthogonality, and                   eigenvectors and eigenvalues.

Area:          Statistics and Probability
                  Equivalent at Temple University:

                  0233. Introduction to Probability Theory
                  Counting techniques, axiomatic definition of probability,                   conditional probability, independence of events, Bayes Theorem,                   random variables, discrete and continuous probability                   distributions, expected values, moments and moment generating                   functions, joint probability distributions, functions of random                   variables, covariance and correlation.

                  0234. Introduction to Mathematical Statistics
                  Random sampling, sampling distributions, Student`s t,                   chi-squared and F distributions, unbiasedness, minimum                   variance unbiased estimators, confidence intervals, tests of                   hypothesis, Neyman-Pearson Lemma, and uniformly most                   powerful tests.

MSFE Admissions Requirement: Prior or anticipated exposure in finance and computer programming through college coursework OR work experience OR self-study (summer prior to program start):

Area:          Finance
                  Equivalent at Temple University:

                  0101. Introduction to Financial Markets
                  This course provides an overview of financial markets and                   institutions in the U.S. economy. Topics include: the structure of                   financial markets and the role of the federal government in these                   markets; the valuation of fixed-income instruments; the
                  risk-return tradeoff in equity markets; hedging and the use of                   derivatives instruments; and the identification and management                   of the risks involved in financial intermediation.

                  0103. Principles of Financial Management (3 s.h.)
                  This course provides a survey of the financial problems                   associated with the life cycle of a business firm. Topics include:                   financial analysis and planning, capital budgeting, cost of capital,                   and the sources and uses of business funds.

Area:          Computer Programming
                  Equivalent at Temple University:

                  C071. Computer Programming in C
                  Introduces students to computer and computer programming.                   Topics covered include the general characteristics of computers,                   techniques of problem solving, and algorithm specification, and                   the debugging and testing of computer programs in the C                   language.