Certificate Programs

Certificate Programs

General Information

• For the 2018-2019 academic year the tuition is $630/credit hour. Book costs are in addition to the tuition.
• Certificate programs are not eligible for federal financial aid.
• If you want to pursue a graduate degree after completing a certificate, the certificate courses can be used towards a graduate degree program.
• Applications for the certificate programs are reviewed on a continual basis.

Choose a Certificate Program

Supply Chain Management Certificate

Supply chain management professionals are involved in all business processes from raw materials extraction to consumer purchase, ensuring the right product is in the hands of the right consumer at the right time. Competitive pressures and sophisticated consumers demanding innovative and speedy solutions characterize today’s global business environment. Understanding and optimizing business processes is the cornerstone of success and is the reason supply chain management professionals are in strong demand.

The supply chain management certificate program provides exposure to the key concepts, tools and technologies needed for a successful career in supply chain management. The certificate coursework covers a wide array of important topics, including strategic supply chain design, supply chain planning and forecasting, sourcing and procurement, logistics, distribution and inventory management, and lean management principles.

Develop the expertise required to manage complex supply chains in today's global economy
  • Prepare for a career in this growing, high-demand field

  • Sharpen analytical skills and strengthen knowledge of supply chain management

  • Learn to leverage relevant technologies which make supply chains faster, more flexible and more efficient

  • Offered 100% online in four eight-week courses

  • Taught by renowned faculty from our nationally ranked MBA program

Steps to Enroll Now in the Supply Chain Management Certificate Program

  1. Complete an application for admission
    • Please note that under the Admission Objective you select “Non-Degree, Graduate Certificate Objective” and then select “Graduate Certificate in Supply Chain Management Systems.”
    • You will receive an email prompting you to complete your department application in GAMES.
    • If you would like to apply to the MBA program and earn a specialization in supply chain management, please refer to the MBA admission requirements and application procedures.
    • You will be required to submit your resume and academic transcripts with the application
  2. Registration codes for the certificate courses will be sent out from the Graduate Programs office approximately 30 days prior to the term start date.

Supply Chain Management Certificate Program Requirements

The certificate requires the successful completion of GRBA 815: Supply Chain Management Strategies, along with three other courses from the list of approved electives, with at least a C or better in each class. Classes can be taken pass/no pass, but pass is defined as C or better for this purpose.

Please refer to the Nebraska Course Catalog for detailed descriptions of all supply chain management courses.

Required Course:

GRBA 815 Supply Chain Management Strategies

This course focuses on understanding how supply chain management can be used to capture competitive advantage. Topics include creating value for customers through supply chains, operations and information systems; understanding the relationships between operations and other parts of the organization; and understanding the relationship between your organization and members of your supply chain.


Three of the following courses are also required:

SCMA 831 Advanced Enterprise Systems

Analytical approach to the design, planning, and control of operations management systems, including domestic and international, manufacturing and service operations.

SCMA 832 Planning and Controlling Supply Chain Systems

This course focuses on planning and controlling operations within and across organizational boundaries. Organizations continue to implement lean operations and a key component of this process includes planning and control systems.

SCMA 834 Topics in Lean Supply Chain Management

This course focuses on the improvement of supply chain operations through the application of lean management principles. Topics include just-in-time, six-sigma, theory of constraints, and associated tools and applications.

SCMA 836 Project Management and Implementation

This course considers the planning and managing of projects, from initiation through implementation, including the use of tools and techniques for bidding, budgeting, scheduling, risk management and implementation.

SCMA 839 Global Supply Chain Management

This course considers the global aspects of supply chain management, with primary emphasis on sourcing and distribution strategies. Topics include make versus buy decisions, supplier evaluation and selection, total cost of ownership, contracts and legal terms, negotiation, and purchasing ethics.

SCMA 844 Managing Logistics in the Supply Chain

This course considers physical distribution activities from the viewpoints of both providers and users of logistics systems. Topics include time and place utility concepts, spatial relationships of markets, channel design, transportation modes, and inventory management.

SCMA 847 Advanced Supply Chain Technology

This course considers technological advancements that are relevant to supply chain management, including radio frequency identification systems, automated storage and retrieval systems, and distribution routing systems.

SCMA 853 Business Data Mining and Descriptive Analytics

Data mining applies quantitative analysis to support humans in identifying actionable information from large amounts of data. This course focuses on how data mining has been successfully applied in business. It will describe the statistical and artificial intelligence-based tools commonly used in data mining.


Business Analytics Certificate

Students completing the Business Analytics certificate program will develop their critical thinking skills and learn how to analyze data in order to develop solutions to specific business problems and improve future performance. This program is designed to add value no matter what your undergraduate degree or career path. The critical skills taught in this program have broad appeal for employers and provide an edge in today’s competitive job market. The methods and tools introduced in the business analytics coursework are applicable in any industry for which interpreting and applying data are critical skills.

Business Analytics student Kurtis Charling '15 - Lindsay Corporation, Omaha, Nebraska
  • There is growing demand from employers for employees with experience in managing and analyzing data, and the ability to use data to make decisions and predictions that will add value to the organization.
  • Big data and new technologies will continue to transform all aspects of business. The business analytics certificate is focused on preparing students to be successful in this dynamic environment.
  • Students completing the certificate will be prepared to work collaboratively with information technology and statistical specialists to collect, maintain, and analyze data in support of business decision-making.
  • Offered 100% online in four eight-week courses
  • Taught by renowned faculty from our nationally ranked MBA program

Steps to Enroll Now for Business Analytics Certificate Program

  1. Complete an application for admission
    • Please note that under the Admission Objective you select “Non-Degree, Graduate Certificate Objective” and then select “Graduate Certificate in Business Analytics.”
    • You will receive an email prompting you to complete your department application in GAMES.
    • If you would like to apply to the MBA program and earn a specialization in business analytics, please refer to the MBA admission requirements and application procedures.
    • You will be required to submit your resume and academic transcripts with the application
  2. Ensure that you have met the pre-requisites of a bachelor's degree and an introductory statistics course with a grade of C or better. If you have not taken statistics, you can take UNL’s ECON215 or STAT218. For students who are not in the Lincoln area, an equivalent course can be taken at a college or university in your local area. Refer to UNL's transfer equivalency webpage to make sure the course you take has been evaluated as being equivalent to UNL’s ECON215 or STAT218. Doing well in basic statistics is important to your success in the business analytics program.
  3. Registration codes for the certificate courses will be sent out from the Graduate Programs office approximately 30 days prior to the term start date.

Business Analytics Certificate Program Requirements

GRBA 851 is required as the first course in the certificate program. This course provides an introduction to the three main areas of business analytics: descriptive, predictive and prescriptive methods. Upon completion of GRBA 851, the other three courses, two of which are required and one of which can be chosen from the list of approved electives, may be taken in any sequence.

Please view the online course schedule to determine when each of these courses will be offered.

Please refer to the Nebraska Course Catalog for detailed descriptions of courses.

Three Required Courses:

GRBA 851: Business Analytics

This course provides a broad overview of important business analytic topics and how they can be used to support decision-making in all areas of business, government, education, and agriculture. Emphasis will be placed on the procedures that are used to describe data, make predictions and recommend actions to improve performance.

ECON 817: Introductory Econometrics

This course is designed to provide necessary background in statistical methods. The course offers an overview of key statistical concepts and techniques, while incorporating hands-on data analysis. Hypothesis formulation and testing, economic prediction and problems in analyzing cross-section and time series data are considered.

MRKT 850: Data Driven Marketing Strategy

This course considers the strategic use of large marketing databases, including how market data can be translated into insights for decisions like pricing, advertising response, resource allocation, and new product development. Topics covered include market response models, clustering and classification, conjoint analysis, resource allocation models, forecasting, customer profitability analysis, customer choice modeling, value pricing, product line decisions and other strategic marketing issues facing today's managers.


Select one elective from the following courses:

MRKT 845: Advanced Marketing Analytics

This course provides an overview of 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; and learning machines in marketing.

SCMA 837: Risk and Simulation Modeling

Simulation is the process of building a computer model of a system and experimenting with the model to obtain insight into the system’s behavior. This course considers the simulation of business systems that are subject to uncertainty and risk. Students will learn the entire process of designing a simulation model, implementing it in software, executing the simulation, collecting output data, and using the results to evaluate decision options.

SCMA 851: Predictive Analytics

Predictive analytics extends statistical and/or artificial intelligence methods to provide forecasting capability. In today’s environment, it involves applying knowledge management to analyze large quantities of data. Students will be exposed to the analytic methods and statistical programming languages, such as R, that are commonly used for predictive analytics in business.

SCMA 852: Data Management and Organization

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 will be introduced and practical applications of databases will be considered.

SCMA 853: Business Data Mining and Descriptive Analytics

Data mining applies quantitative analysis to support humans in identifying actionable information from large amounts of data. This course focuses on how data mining has been successfully applied in business. It will describe the statistical and artificial intelligence-based tools commonly used in data mining. The course will also address ethical issues related to the use of information obtained through data mining.

SCMA 854: Advanced Descriptive Analytics

Descriptive analytics focuses on descriptions and reports of what has happened. This course seeks to provide explanations and demonstrations of advanced descriptive analytics tools such as cluster analysis, text mining and link analysis. The course will expose students to the concepts of Big Data and Internet of Things. Students will learn how to use descriptive analytics and relevant software packages to solve business problems.

SCMA 855: Prescriptive Analytics

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.

SRAM 816: Principles of Survey Analysis

This course provides an introduction to the basic principles of causality and inductive logic in contemporary social and behavioral science. Topics include one, two, and multi-way layouts in analysis of variance; fixed effects models and linear regression in several variables; the Gauss-Markov-Theorem; multiple regression analysis; and basic principles of experimental and quasi-experimental designs.

SRAM 819: Applied Sampling

This course considers the design of probability samples, issues related to sampling populations of humans, and the unique challenges posed by such populations, restricted by cost and available sampling frames. Topics incluse simple random sampling, stratification, cluster sampling, systematic sampling, multistage sampling, probability proportional to size sampling, area probability sampling, and telephone samples.

SRAM 865: Survey Analysis and Design

This course considers the basic issues related to the design and analysis of sample surveys. Topics include the basics of questionnaire construction, sampling, data collection, analysis and data presentation.

For more information contact businessgrad2@unl.edu.