Business Analytics, MS
Master of Science Degree in Business Analytics
University of Nebraska - Lincoln
Overview
Admissions and Requirements
Courses You’ll Take
Tuition & Fees
Program Overview
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 is 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
- Finance
- Accounting
- Marketing
- Economics
- Other business-related fields
Admissions and Requirements
To be accepted to this program, you must have:
3 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
NOTE: This program is authorized, exempt, or not subject to state regulatory compliance and may enroll students from all 50 states
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
Courses You’ll Take
Core Courses
| Course Number | Course Name | Credits |
|---|---|---|
| GRBA 813 | Managerial Marketing | 3 |
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. | ||
| ECON 817 | Introductory Econometrics | 3 |
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. Prereqs: ECON 210, or both ECON 211 and ECON 212; ECON 215 or equivalent. | ||
| GRBA 815 | Supply Chain Management Strategies | 3 |
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. | ||
| GRBA 851 | Business Analytics | 3 |
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. Prerequisites for course: Admission to the MBA or MPA program and/or permission of the MBA director | ||
| SCMA 851 | Predictive Analytics | 3 |
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. Prerequisites: GRBA 851 | ||
| SCMA 853 | Business Data Mining and Descriptive Analytics | 3 |
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. Prerequisites for course: GRBA 851. | ||
| SCMA 852 | Data Management and Organization | 3 |
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. Prerequisites: GRBA 851 | ||
| SCMA 837 | Risk and Simulation Modeling | 3 |
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. | ||
Elective Courses
| Course Number | Course Name | Credits |
|---|---|---|
| SRAM 819 | Applied Sampling | 3 |
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. | ||
| SCMA 855 | Prescriptive Analysis | 3 |
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 | ||
| SCMA 847 | Advanced Supply Chain Technology | 3 |
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. | ||
| SRAM 816 | Principles of Survey | 3 |
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. | ||
| SCMA 854 | Advanced Descriptive Analytics | 3 |
This course will focus on exploratory and initial data mining, including cluster analysis and link analysis. GRBA 851 | ||
| SCMA 836 | Project Management and Implementation | 3 |
Planning and managing projects from initiation through implementation. Use of tools and techniques for bidding, planning budgeting scheduling, risk management and implementation. Prerequisites for course: Admission to MBA or Supply Chain Certificate | ||
| MRKT 845 | Advanced Marketing Analytics | 3 |
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 for course: GRBA 851 | ||
| SRAM 865 | Survey Design and Analysis | 3 |
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. | ||
| MRKT 850 | Data Driven Marketing Strategy | 3 |
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 for course: GRBA 851 or one or more graduate or undergraduate statistics classes that cover basic statistics through least-squares regression. | ||
Tuition & Fees
Nebraska Residents
Per Credit Hour
- Tuition
- $650.00
- Fees
- $0.00
- Total
- $650.00
3 Credit Hours
- Tuition
- $1950.00
- Fees
- $0.00
- Total
- $1950.00
Out of State Residents
Per Credit Hour
- Tuition
- $650.00
- Fees
- $0.00
- Total
- $650.00
3 Credit Hours
- Tuition
- $1950.00
- Fees
- $0.00
- Total
- $1950.00
Ozgur M. Araz, Ph.D.
Associate Professor
Ozgur M. Araz's research interests include systems modeling and simulation, business analytics, healthcare operations management, public health and heuristic optimization. His research had been supported by NIH, VA hospitals, HDR Company, Boys Town, Nebraska Medicine and the University of Nebraska.
Application Deadlines
- May StartApr 01
- August StartJul 01
- January StartNov 01