Math Course Sequence

Using the Math Placement Tool, students are walked through a series of questions to determine the best math class(es) for them. Based on multiple measures, students will be given some recommended math courses that are best for them. 

Students with majors such as Psychology, Sociology, and Business will be recommended quantitative reasoning courses appropriate to their major. 

Your recommended math course depends on your educational goal, including major and/or field of study. BSTEM refers to math courses for Business and STEM (Science, Technology, Engineering, and Math) majors. SLAM refers to courses for majors that require Statistics and Liberal Arts Math.

Some students may receive a recommendation of a transfer-level math class with a corequisite support class. Corequisite courses pair a transfer-level math class with a support class.  The support class offers just-in-time math skills as well as student success and study skills. The corequisite class model has been shown to greatly increase student success in transfer-level math classes.   

Math courses with corequisite support classes or integrated acceleration include: 

Please see the Palomar College Catalog for complete course information. 

PSYC/SOC 205 Statistics for the Behavioral Sciences (4)
4 hours lecture
Prerequisite: Completion of intermediate algebra or the equivalent, or eligibility or completion of PSYC/SOC 205, BUS 204, or any course between MATH 100 and 245 (excluding MATH 197) based on multiple measures
Note: Cross listed as SOC 205
Transfer acceptability: CSU; UC – PSYC/SOC 205 and MATH 120 combined

Quantitative and qualitative methods as applied to behavioral science data. Frequency distributions, measures of central tendency, variability, hypothesis testing, measures of probability and significance, correlation, regression, and inferential statistics. Also included are data entry, graphing, statistical analysis, and interpretation of data using word processing, spreadsheet, and statistical software.

BUS 204 Quantitative Business Analysis (4)
4 hours lecture
Recommended preparation: BUS 175 or equivalent
Pre-requisite: Completion of intermediate algebra or the equivalent, or eligibility or completion of PSYC/SOC 205, BUS 204, or any course between MATH 100 and 245 (excluding MATH 197) based on multiple measures
Transfer acceptability: UC/CSU

*This course is approved to satisfy quantitative reasoning for the CSU Area B4 and IGETC 2A.
*This course is also approved to satisfy local math competency and Area A2.

Course Description

The applied science of basing business decisions on numerical data that can be used to reduce risk in customer, product, investment, and other significant operational and strategic business decisions. Descriptive statistics (tabular, numerical, and graphical) and inferential statistics (random sampling, sampling distributions, probability distributions, hypothesis testing, linear regression, t-tests) are used within the context of business decisions. Makes extensive use of technology, including spreadsheets and other software tools, for analyzing data. Designed for students majoring in business or economics.