Discover how to leverage the power of big data in today’s business environment. Whatever your undergraduate degree or career path, this 12-credit-hour online program provides you with dynamic methods and tools to solve real business problems, improve performance and work collaboratively with information technology and statistical specialists. The critical skills taught have broad appeal for employers and are widely applicable, giving you an edge in today’s competitive job market.
August, January or May Start
The curriculum is comprised of four methods courses, which you can tailor to fit your interests. You’ll gain exposure to cutting-edge software, programming languages such as R and SQL, and the techniques used by industry to analyze data and make decisions, including statistics, data mining and simulation. You must earn a grade C or better in each course to complete the certificate.
Explore All SCMA Courses
This course provides an introduction to several important business analytics topics and discusses how they can be used to support decision-making in all areas of business, as well as government, education, and agriculture. A prerequisite for all other business analytics courses, GRBA 851 covers methods used to describe data, make predictions and enable decision-making.
ECON 817 (Crosslisted with ECON 417)
This course introduces basic statistical and econometric methods, including model estimation and analyses of economic data. Hypothesis formulation and testing, prediction, and problems in analyzing economic cross-sectional and time series data are considered.
Prerequisites: GRBA 851
There are three categories of analytical tools: descriptive, predictive and prescriptive. Predictive analytics extends statistical and/or artificial intelligence methods to provide forecasting capability. In today’s environment, predictive analytics typically involves applying knowledge management to analyze large quantities of data. This course exposes students to the analytical methods and statistical programming languages, such as R, commonly used for predictive analytics in business.
Data mining applies quantitative analysis to support humans in identifying actionable information from large quantities of data, which helps organizations make better decisions. Descriptive analytics involves the examination of data to discover patterns and other types of knowledge. This course focuses on successful applications of descriptive data mining in business and describes the statistical and artificial intelligence tools commonly utilized. The course also addresses ethical issues related to the use of information obtained through data mining.
Simulation is the process of building a computer model of a system or a decision-making problem and experimenting with the model to obtain insight into the system’s behavior or assist in making a decision. This course covers the simulation of business systems that are subject to uncertainty and risk. Upon completion, students will be able to carry out the entire process of designing a simulation model, implementing it in appropriate software, executing the simulation, collecting and analyzing output data, and using the results of the analysis to evaluate alternative decision scenarios.
The use of information technology and statistical analysis continues to grow in all sectors of the economy. Along with that growth comes a need for individuals with advanced training in the technology of databases. In this course, databases are studied from the perspective of their logical organization and physical design, as well as from the perspective of managers and applications programmers. The database querying language SQL is introduced and practical applications of databases considered.
This class serves as an advanced methods course for students who would like to get more methodological depth (note that it is an elective for the program). It covers advanced topics in all areas of analytics, including data cleansing, classification, clustering, reduction, exploration and visualization. Big data analysis platforms and tools are also covered. Students must complete SCMA851 before enrolling in this course.
There are three categories of analytical tools: descriptive, predictive and prescriptive. Prescriptive analytics focuses on the use of data generated by descriptive and predictive analytics to achieve an organization’s strategic and operational goals. Since data is increasingly available in today’s business environment, integrating that data into decision-making is essential for efficiency improvement and profit generation. This course introduces students to the analytical methods and software commonly used in optimization modeling, enabling them to prescribe recommendations to improve performance and study what-if questions in business problems.
Because we review applications on a continual basis, you can start earning the certificate when it works best for you, whether that’s spring, fall or summer.
All Supporting Documents including unofficial transcripts and test scores are uploaded directly via the graduate application.
You are required to submit an unofficial transcript from each post-secondary institution you have attended during the application review process.
If you are admitted, you will be required to submit an official transcript sent directly from each institution you have attended to
The Office of Graduate Studies. We recommend that you complete this task before your admitted term begins. A hold will be placed
on your account if they do not receive your official transcripts by October 1 for the fall term, February 1 for the spring term and July 1
for the summer term. Students will have until that day to submit official transcripts or your admission will be rescinded.
Transcripts can be sent electronically to email@example.com or by mail to
University of Nebraska–Lincoln
1100 Seaton Hall
Lincoln, NE 68588-0619
If you are an international student, please refer to the Nebraska Office of Graduate Studies for transcript and document information.
International Transcript Information
Additional information on Application Requirements can be found at Graduate Studies website.
Before applying, ensure you have met the
prerequisites of a bachelor’s degree.
There are no other specific course requirements for admission to the certificate program.
Apply by April 1
Apply by July 1
Apply by November 1
Since certificate programs are not eligible for financial aid, we know cost is key. At
a flat rate of $650 per credit hour, our certificate programs are some of the most
affordable in the Big Ten.
TUITION AND FEES
Completing a certificate can be a good way to get a feel for graduate level classes and diversify your expertise.
Because the course credits you'll earn while completing a certificate are transferrable, you can roll your credits into a master's program later on such as the Master of Science in Business Analytics.
If you're already enrolled in one of our MBA programs, you can use your MBA
electives to earn this graduate certificate at the same time.
MS in Business Analytics Explore Master's Programs
Provide your information and we'll send you what you need to know about earning your graduate certificate at Nebraska.
If you have immediate questions, contact our Business Graduate Programs office at 402-472-2338.