Without going into tons of detail my undergrad GPA was not stellar and I would like to take two UCLA Extension classes before applying this fall (2016). My degree is Operations Research and the only business class I took was Econ so I feel like adding a business course will help. Below are the classes I am looking at and grades from my undergrad for related classes. Any suggestions on which two to take would be greatly appreciated.
Undergrad:
CALC I: B
CALC II: A-
Prob & Stats: B
Applied Stats: C+
Mathematical Stats B-
These are the classes I am looking at with course description:
Principles of Accounting (MGMNT X 1A) -This course is the first in a 2-course Principles of Accounting sequence and provides an introduction to accounting theory, principles, and practice. Instruction covers the uses, communication, and processing of accounting information, as well as the recording, analyzing, and summarizing procedures used in preparing balance sheets and income statements. Additional topics include accounting for purchases and sales, receivables and payables, cash and inventories, plant and equipment, depreciation and natural resources, intangible assets, and payrolls. Sole proprietorships and partnerships also are examined.
Business Applications of Calculus (MGMNT X 410)-This course examines the applications of differential and integral calculus to the study of business and economics. Topics helpful to students who need a pre-MBA review of calculus principles and applications are also covered
Business Statistics (MGMNT X 115)- This course explores the elements of probability, probability distributions, estimation and confidence intervals, tests of significance and hypotheses, linear regression and correlation, time-series analysis, and principles of index numbers. Additionally, the course covers applications to the analysis and decision-making aspects of daily business problems.
Advanced Statistics and Quantitative Methods (STATS X 402.1) his advanced course in inferential statistics emphasizes the practical application of statistical analysis. Instruction includes an examination of the role of statistics in research; understanding statistical terminology; use of appropriate statistical techniques; and interpretation of findings in the fields of economics, business, nursing, and medical research. Topics include graphing and tabulation of data; hypothesis testing for small and large samples; chi-squared; statistical quality control; analysis of variance (ANOVA), regression; correlation; and decision making under uncertainty.
Thanks again for your help!