MSBA Prerequisites
The MSBA is a degree that requires quantitative, computational, and critical thinking. Before enrolling successful candidates will have completed coursework in the three primary areas, Computing, Mathematics and Statistics and Probability. Candidates should also possess an aptitude and appetite for quantitative-oriented coursework and careers. These courses may be taken as an undergraduate or graduate, or they may be taken as extension courses both brick and mortar and on-line programs. Please see the concepts, along with some online course suggestions.
For any questions about specific course work please send transcripts or questions to: gsm-msba-admissions@ucdavis.edu.
Computing
- Principles and use of programming. Basic knowledge of Python or R. Understanding data structures, flow of control, iteration and functions. Additional Python support provided to students who need it when they arrive.
Mathematics
- Differential Calculus: Functions, limits, continuity, derivatives. Differentiation of algebraic and transcendental functions.
- Integral Calculus: Techniques of integration. Application to area, volume, arc length, average of a function.
- Linear Algebra: Matrices, determinants, eigenvalues, eigenvectors.
Statistics
- Basic probability, densities and distributions, ordinary least squares, multiple regression.
- Online course suggestions (Course 1: Introduction to Probability and Data and Course 3: Linear Regression and Modeling)