Business Analytics (Minor)
The Business Analytics minor is a unique minor that integrates a functional area of business with computer expertise. It is a minor that develops skills in the use of the computer as a decision-making tool and provides expertise in a business field in which these skills can be applied. The modern business employer is looking for graduates who have more than just a degree in a particular functional area. They are looking for students who have multiple skills which allow them to serve their company in many ways. Business Analytics provides the training needed to develop those skills.
Business Analytics (Minor)
Description
What is Business Analytics at ODU like?
The Business Analytics minor is a unique minor that integrates a functional area of business with computer expertise. It is a minor that develops skills in the use of the computer as a decision-making tool and provides expertise in a business field in which these skills can be applied. The modern business employer is looking for graduates who have more than just a degree in a particular functional area. They are looking for students who have multiple skills which allow them to serve their company in many ways. Business Analytics provides the training needed to develop those skills.
Program Highlights
What makes Business Analytics at ODU unique?
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Fully integrated business degree combined with advanced data and quantitative analysis
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Courses use multiple data platforms such as Excel, Arena, SAS and SPSS, Tableau, and R programming
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Double majors are accommodated with other business disciplines that allow students to complete program with minimal additional coursework
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Major areas of statistics and management science techniques, such as simulation, optimization, forecasting, and visualization individually explored in senior level coursework
Courses
What are some courses offered in Business Analytics at ODU?
BNAL 406:
Advanced Spreadsheet-Based Data Analytics
This course introduces students to the use of advanced data modeling in spreadsheets and self-service business intelligence tools to analyze data and make business decisions in Excel. Power Pivot and the DAX language are used to extract meaningful information from large data sets. Power Query is introduced as an ETL tool, and the Power BI Desktop is used for visualization purposes. These topics are then applied to analyze problems in predictive analytics. Examples include advanced multiple regression and classification techniques in data mining. Prerequisites: A grade of C or better in BNAL 301, BNAL 306, and a declared major in the University or permission of the Dean's Office.
BNAL 415:
Advanced Business Analytics/Big Data Applications
This course addresses advanced business analytics techniques and the application of such techniques to large data sets. Some alternative business analytics strategies are introduced. Descriptive, predictive, and prescriptive models are included. Topics covered in this course include data visualization and exploration, cluster analysis, and developing and calibrating predictive models for big data. Applications of multivariate, logistic, and probit regression to business analytics are discussed. Software packages such as SAS/JMP/SPSS may be used. Prerequisites: A grade of C or better in BNAL 306 and a declared major in the University or permission from the Dean's Office.
BNAL 476:
Simulation Modeling and Analysis for Business Systems
Simulation modeling is an integral part of the analytics revolution, enabling the creation of models that can represent the variability that exists in many real business systems. This course covers the theory and application of simulation modeling, with an emphasis on how simulation provides predictive and prescriptive analytics to support business decision-making. Topics include simulation fundamentals, the project life-cycle, model development, input and output analysis, verification and validation, and the presentation of a simulation study. We utilize a major commercial simulation software package for assignments and class projects. Prerequisites: OPMT 303 with a grade of C or better and BNAL 306 with a grade of C or better, senior standing and a declared major in the University or permission of the Dean's Office.
Requirements
What are the requirements to apply for Business Analytics at ODU?
Students entering the Minor program in Business Analytics should meet the minimum university admission requirements (Undergraduate Admission)
Cost
Tuition and Fees
Estimated rates for the 2022-23 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Virginia Resident
Per Credit:
$ 374
Non-Resident
Per Credit:
$ 1,039
Active Duty Military Rate
Per Credit:
$ 250
Technology Delivered Courses Outside Virginia and/or the United States
Per Credit:
$ 407
Ways to Save
Here are a few ways for you to save on the cost of attending ODU. For more information visit University Student Financial aid
Scholars
Tanner Scholars and others available through Strome and the University.
Internships
Internships with major employers in region are abundant.
Next Steps
I like this program. What are the next steps?
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Contact
Need help applying?
Meet Your Enrollment Team
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Undergraduate Admissions
Location:
1004 Rollins Hall, Norfolk, VA 23529
Phone Office:
757-683-3685
Fax:
757-683-3255
Email:
admissions@odu.edu
International Admissions
Location:
2101 Dragas Hall, Norfolk, VA 23529
Phone Office:
757-683-3701
Fax:
757-683-3651
Email:
intladm@odu.edu
Additional Programs
Are there other programs at ODU I may be interested in?
With over 120 undergraduate programs, 130 graduate programs at the master's, education specialist and doctoral levels plus a wealth of certificate and professional development programs, Old Dominion University has the program for you. Visit our academic program listing page to see other programs ODU has to offer.
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