Quantitative Essentials for Business
The Quantitative Essentials for Business post-baccalaureate certificate gives students the basic math skills required for business. Designed for students who have had limited college-level mathematics course work, this certificate builds a basis for future study while developing skills that have immediate relevance in many workplaces. In addition to basic math, the program offers courses in differential calculus, statistics
This program was formerly titled Math Fundamentals for Business.
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Students who have little to no previous math experience may require additional prerequisite course work. Students who have previously taken certain required courses may substitute courses with permission from the Assistant Dean of Undergraduate and Post-baccalaureate programs.
Post-baccalaureate students at Northwestern's School of Professional Studies pay per course. For more information about financial obligations and tuition, please visit the Tuition page.
In addition to completing an online application, you'll also need to submit a few supplemental materials. A list of requirements for admission including application deadlines and tips on how to apply can be found on the Admission page.
Whether you're a first-time registrant or current and returning student, all students register using our online student registration and records systems. Important information about registering for courses at SPS, including registration timelines and adding or dropping courses in which you are already enrolled, can be found on the Registration Information page.
| Program Courses: | Course Detail |
|---|---|
| Algebra <> MATH 101-CN | This course is designed to provide an overview of core mathematical concepts that permeate business, science and everyday life. The primary focus is on mathematical tools needed in a variety of degree programs. Topics include: functions and graphs, linear, polynomial and rational equations, inequalities and their applications, modeling, variation, and systems of equations. This course does not count for credit if taken after any higher mathematics course. May not be audited. View MATH 101-CN Sections |
| Algebra <> MATH 101-DL | This course is designed to provide an overview of core
mathematical concepts that permeate business, science and everyday
life. The primary focus is on mathematical tools needed in a
variety of degree programs. Topics include: functions and graphs,
linear, polynomial and rational equations, inequalities and their
applications, modeling, variation, and systems of
equations. The course does not count for credit if taken after
any higher mathematics course. May not be audited. View MATH 101-DL Sections |
| Precalculus Math <> MATH 113-CN | This course covers properties and graphs of the basic functions:
polynomial, rational, exponential, logarithmic, and trigonometric.
Complex numbers, theory of equations, and selected topics are also
included. May not be audited. There is no available section. |
| Single-Variable Differential Calculus <> MATH 220-A | This course covers the following: limits; differentiation; linear approximation and related rates; extreme value theorem, mean value theorem, and curve-sketching; optimization. This course was formerly MATH 220-CN. View MATH 220-A Sections |
| Introduction to Statistics <> STAT 202-CN | This course provides an introduction to the basic concepts of statistics. Throughout the course, students will learn to: summarize data using graphs and tables; explain/calculate descriptive statistics, confidence intervals, correlation, regression, and probability; and explain tests of significance and data-production including sampling and experiments. Basic knowledge of algebra is recommended. View STAT 202-CN Sections |
| Introduction to Statistics STAT 202-DL | This course provides an introduction to probability and statistics theory. Assignments and projects help develop students’ analytic and critical thinking skills and challenge them to apply statistical analysis with real world data. The course contains three parts: methods of data collection, techniques for data organization and analysis, and techniques for interpreting data using statistical methodologies. Students will learn not only how to appropriately collect and analyze data, but how to draw conclusions from their data for use in decision-making. The course emphasizes use of Microsoft Excel for graphing and data analysis in homework assignments. Students will also collect and analyze a data set of personal interest for the final project. A final paper will also be prepared. Microsoft Excel and PowerPoint techniques relevant to the final project will be taught in class, however, a basic understanding of these applications is expected. This course is conducted completely online. A technology fee will be added to tuition. View STAT 202-DL Sections |
