Broad understanding and knowledge of important business analytic topics and how they can be used to support decision making in
all business areas, government, education, and agriculture. Emphasis will be placed on the technical procedures that are used to
describe, predict and prescribe data into information for decision making. Students will learn how data exploration results in a
sequence of descriptive, predictive and prescriptive processes to result in unique and new information on which decisions can be made.
ECON 817 (Crosslisted with ECON 417)
Designed to give undergraduate and master's level economics students an introduction to basic econometric methods including
economic model estimation and analyses of economic data. Hypothesis formulation and testing, economic prediction and problems
in analyzing economic cross-section and time series data are considered.
Prerequisites: GRBA 851 or one or more graduate or undergraduate statistics classes that cover basic statistics through least-squares regression.
Theory and strategic use of large marketing databases. Translating market data into insights for decisions like pricing, advertising response, resource allocation,
and new product forecasting. Topics covered include market response models, linear models, clustering and classification, conjoint analysis techniques, resource
allocation models, forecasting models, customer profitability analysis, customer choice modeling, value pricing, product line decisions and other significant
strategic marketing issues facing today’s managers.
Web, social media, and consumer text analytics; analyzing consumer data streams from the Internet, mobile devices, and sensors; handling very large volumes of data; general data analysis software operation for various marketing problems; marketing platform software for general and specific tasks; learning machines in marketing.
Analytical and simulation models for decision making in functional areas such as finance, accounting, marketing, personnel, operations, and inventory. Construction of decision models for practical applications. Emphasis on analyzing alternatives and implementing solutions that result in increased productivity.
Prerequisites: GRBA 851
This course will focus on how knowledge management has been successfully applied in business in the form of predictive analytics. Predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. It will also describe in non-technical terms the statistical and artificial intelligence-based tools commonly used in forecasting and other business decisions involving big data.
Technology of databases and related human and managerial considerations. Databases are studied from the perspective of the logical organization, as well as from the perspective of managers and applications programmers, in the use of organizational data. Consideration of physical organization and SQL. Practical applications of databases.
Data mining applies quantitative analysis to support humans in identifying actionable information from large amounts of data. Actionable means that value can be obtained, which for businesses usually relates to making money. This course will focus on how data mining has been successfully applied in business. It will also describe in non-technical terms how the statistical and artificial intelligence-based tools commonly used in data mining work. The course will also address ethical issues related to use of information obtained through data mining.
This course will focus on exploratory and initial data mining, including cluster analysis and link analysis.
This course will focus on how optimization modeling techniques can be used to make the best decisions in a variety of business analytics applications. The emphasis will be on the formulation of different optimization problems and the use of the correct quantitative techniques to solve these 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 firstname.lastname@example.org 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.
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.