Online Business Analytics MS: Master's Degree

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. Prerequisite: 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.
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. Prerequisite: GRBA 851
SCMA 853	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. Prerequisite: 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. Prerequisite: 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 Analytics	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. Prerequisite: 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 Analytics and Big Data	3
Covers advanced business analytics topics, including data cleansing, classification, clustering, reduction, exploration and visualization. Big data analysis platforms and tools are also covered. Prerequisite: SCMA 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.
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.

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

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

To apply to this program:

Courses You’ll Take

Core Courses

Elective Courses

Tuition & Fees

Nebraska Residents

Per Credit Hour

3 Credit Hours

Out of State Residents

Per Credit Hour

3 Credit Hours

Ozgur M. Araz, Ph.D.

Associate Professor

Application Deadlines