Ecampus Schedule of Classes - Spring 2025

College of Business

BA 375 – Applied Quantitative Methods (4)

Introduces students to the basics of data science and data analytics for handling of large-scale databases. Provides an overview of the main data-analytic techniques and topics including data visualization, linear and nonlinear regression analysis, time series analysis and forecasting, classification, and clustering methods. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.

For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.

Continue to Registration.

TermCRNSecCrP/NInstructorTypeStatusCapAvailWL CapWL Avail
Sp25532714004Vester, A.Online Open45451010
Registration Restrictions
Enforced Prereqs: BA 275 [C-] or BA 275H [C-]
Major Restrictions: +181, +182, +183, +196, +641, +799 (Business Administration, Finance, Business Information Systems, Management, Accountancy, Marketing)
Class Limitations: -1, -2 (Freshman, Sophomore)
Campus Restrictions: +DSC (Dist. Degree Corvallis Student)
Syllabus: Available in Canvas to students enrolled in this course. Or download a sample syllabus.
Sp25547914104Vester, A.Online Open45451010
Registration Restrictions
Enforced Prereqs: BA 275 [C-] or BA 275H [C-]
Major Restrictions: +181, +182, +183, +196, +641, +799 (Business Administration, Finance, Business Information Systems, Management, Accountancy, Marketing)
Class Limitations: -1, -2 (Freshman, Sophomore)
Syllabus: Available in Canvas to students enrolled in this course. Or download a sample syllabus.
Find textbooks for BA 375 at the OSU Beaver Store (current term only). For questions related to course materials, contact the OSU Beaver Store.

View BA 375 for all available terms


Legend
= Signifies the course as a Baccalaureate Core Course.
= Signifies that fees may apply to the course.
+ = Include restriction.
- = Exclude restriction.
* = Prereq may be taken prior to or simultaneously with this course.