Quantitative Essentials for Business Certificate Program
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 and finance.
This program was formerly titled Math Fundamentals for Business.
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.
Quantitative Essentials for Business Tuition
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.
Admission for the Quantitative Essentials for Business Certificate Program
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.
Quantitative Essentials for Business Registration Information
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.
Find out more about the Quantitative Essentials for Business Certificate Program
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.
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.
This course is conducted completely online. A technology fee will
be added to tuition.
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.
This course has been cancelled as of 3/23/20.
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.
Single-Variable Differential Calculus <> MATH 220-A-DL
This course covers the following: limits; differentiation;
linear approximation and related rates; extreme value theorem, mean
value theorem, and curve-sketching; optimization. Through this
course students will explore, tangle with, and ultimately master
the fundamental techniques of differential calculus, all of which
stem from the limit and all of which revolve around wielding the
derivative as a powerful tool for understanding the mathematical
and physical world. The course is conducted completely online. A
technology fee will be added to tuition. Prerequisite: a solid
foundation in algebra, trigonometry, and geometry. This course was
formerly MATH 220-CN.
This course is intended to familiarize students with the basics
of statistics as a baseline for academic and/or professional
application. Topics include (but are not limited to) basic
descriptive statistics, data testing, correlations, analyses of
variance, and regression analysis. The course will include
instruction on how to use Excel to help students perform
statistical analyses for future problem-solving and
decision-making. Basic knowledge of algebra is
recommended.
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.