- Course Delivery
- Fully Online
- Total Credits
- In-State Tuition Per Credit
- Out of State Tuition Per Credit
Earn your degree from the University of Nebraska - Lincoln
Get the same diploma as on campus students
The online Master of Science in Business Analytics prepares business leaders to solve specific business problems by mastering a new set of analytic skills. Business analysts are paving the way for innovation in productivity and competition through courses that strengthen business methods, tools and software.
Students choose this program because the real-world application allows students to:
- Interpret data and apply it in their current positions.
- Make better business decisions based on the data available to them.
- Access a global classroom and make meaningful connections with colleagues across the globe.
- Access Big Ten Faculty. Students benefit from professors who connect the classroom to the real world.
Core courses in this program provide students with comprehensive skills directly applicable to this emerging discipline. Courses are offered completely online, optimized for mobile access and are offered in 8-week sections.
Core coursework includes:
- Financial Accounting
- Managerial Marketing
- Supply Chain Management
- Business Analytics
- Predictive Analytics
- Data Management and Organization
- Business Data Mining and Descriptive Analytics
- Risk and Simulation Modeling
Career Outlook: A business analytics degree has broad appeal for employers and is designed to build on any background. There’s a strong growth for business analysts with over a 14% growth rate in the next decade according to the Bureau of Labor Statistics.
This program is ideal for professionals working in:
- Data management
- Analytical management
- Supply chain management
- Other business-related fields
Heng Chen's primary research interest is in the application of stochastic methods and data analytics for service improvement and cost reduction in the service sector, such as the airline industry. His secondary research interests involve newly arising supply chain management problems resulting from the use of unmanned aircraft systems technology. His methodological expertise is in stochastic modeling and optimization, and his overall research goal is to make stochastic methods and data analytics utilizable for practical decision making in problems that he studies. His work has been published in several journals, including Production and Operations Management.
To be accepted to this program, you must have:
3.00 GPA or above on a 4.0 scale
Taken the GMAT
Official transcripts from all previous schools
3 Professional references including their names and contact information
A proficiency in using Microsoft Excel
To apply to this program:
- Apply and be admitted to Graduate Studies at the University of Nebraska-Lincoln
- Pay the non-refundable $50 application fee
- Submit official transcripts to the Office of Graduate Studies
- May Start
- April 1
- August Start
- July 1
- January Start
- November 1
Course Number: ECON 817
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: ECON 210, or both ECON 211 and ECON 212; ECON 215 or equivalent.
Course Number: GRBA 809
Basics of financial accounting and reporting. The construction of financial statements and their interpretation for internal and external users of financial information.
Course Number: GRBA 813
Mixture of case discussions, readings, lectures, plus written and oral assignments. Development of analytical and decision making skills and an understanding of the market forces which influence those decisions. Major emphasis on the decision areas of product, distribution, personal selling, advertising and pricing, as well as on the development of integrated marketing programs. Social, ethical and global issues.
|Supply Chain Management Strategies||3|
Course Number: GRBA 815
Strategic implications for the management and coordination of supply chains, including both internal and external operations and the information systems necessary for support. Relationships between operations and information systems and other functional areas of organizations, e.g., accounting, marketing, finance and engineering/R&D are evaluated, along with relationships with other organizations in the supply chain, are emphasized.
Course Number: GRBA 851
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. Technical procedures used to describe, predict and prescribe data into information for decision making. Data exploration and how it results in a sequence of descriptive, predictive and prescriptive processes to result in unique and new information on which decisions can be made.
|Risk and Simulation Modeling||3|
Course Number: SCMA 837
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.
Course Number: SCMA 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.
|Data Management and Organization||3|
Course Number: SCMA 852
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.
|Business Data Mining and Descriptive Analytics||3|
Course Number: SCMA 853
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.
|Advanced Marketing Analytics||3|
Course Number: MRKT 845
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. Prerequisites: GRBA 851
|Data Driven Marketing Strategy||3|
Course Number: MRKT 850
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. Prerequisites: GRBA 851 or one or more graduate or undergraduate statistics classes that cover basic statistics through least-squares regression.
|Project Management and Implementation||3|
Course Number: SCMA 836
Planning and managing projects from initiation through implementation. Use of tools and techniques for bidding, planning budgeting scheduling, risk management and implementation.
|Advanced Supply Chain Technology||3|
Course Number: SCMA 847
Technological advancements to include radio frequency identification systems, automated storage and retrieval systems, distribution routing systems. Description of physical characteristics, potential to support supply chain management, and implications on inventory management within supply chains. Prerequisites: GRBA 815
|Advanced Descriptive Analytics||3|
Course Number: SCMA 854
This course will focus on exploratory and initial data mining, including cluster analysis and link analysis.
Course Number: SCMA 855
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. Prerequisites: GRBA 851
|Principles of Survey||3|
Course Number: SRAM 816
Introduction to the basic principles of causality and inductive logic in contemporary social and behavioral science. 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.
Course Number: SRAM 819
Design of probability samples, sampling populations of humans and unique challenges posed by such populations, restricted by cost and available sampling frames. Simple random sampling, stratification, cluster sampling, systematic sampling, multistage sampling, and probability proportional to size sampling, area probability sampling, and telephone samples.
|Survey Design and Analysis||3|
Course Number: SRAM 865
Basic issues related to the design and analysis of sample surveys. The basics of questionnaire construction, sampling, data collection, analysis and data presentation. Prerequisites: SOCI 205 and SOCI 206.
Cost for Nebraska Residents
Per Credit Hour
- Tuition: $630.00
3 Credit Hours
- Tuition: $1890.00
Cost for Out of State Residents
Per Credit Hour
- Tuition: $630.00
3 Credit Hours
- Tuition: $1890.00
Questions about tuition? We can help.
What's it like to take a program online?
Quality learning experience
The University of Nebraska has offered distance education courses for more than 100 years so you can expect a quality, rigorous experience. Online courses are often highly interactive with faculty and students communicating through e-mail, discussion forums and chat groups. You’ll have direct access to world-class faculty – researchers who are experts in their fields or practitioners with real-world experience. Also, you’ll be part of a community of learners and can benefit from the perspectives of students from across the globe.
Online learning gives you the flexibility and freedom to attend your classes wherever is convenient to you. You can save time and money by being able to continue to work and by avoiding relocation or travel costs. You will be required to complete assignments in a certain timeframe, but in most instances, you can log in and complete coursework during the time of day that works best for you. You aren’t tied to a specific class time.
Service you expect from a leading University
Online learners at the University of Nebraska have access to the same student services available to on-campus students. An academic adviser will guide you along your journey, library services are available to help you excel in your program and career services are available when you are ready to take your next step. These are just a few of the services in place to help you succeed.