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Jul
20

BUSI 508B – Special Topics in Business

Prerequisites/Corequisites: Credit Hours: Min: 2; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 503U – Fund of Applied Business Statistics

Prerequisites/Corequisites: Credit Hours: Min: 2; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 504 – Fundamentals of Business Law

Prerequisites/Corequisites: Credit Hours: Min: 2; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 504U – Fundamentals of Business Law

Prerequisites/Corequisites: Credit Hours: Min: 2; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 505 – Principles of Financial Management

Prerequisites/Corequisites: Credit Hours: Min: 2; Max: Description: An introduction to basic financial tools and techniques used in corporate financial management, including planning, assets management, capital budgeting, capital markets, and international finance. These courses will also be available for seniors from non-business majors. Business 501-Business 507 are to be used to satisfy foundation requirements for entrance […]

By Breanna Lisenby |
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Jul
20

BUSI 505U – Pinciples of Financial Management

Prerequisites/Corequisites: Credit Hours: Min: 2; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 497 – Lab for Biological Sciences I

Prerequisites/Corequisites: Credit Hours: Min: 1; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 501 – Fundamentals of Accounting

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 501U – Fundamentals of Accounting

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 502 – Fundamentals of Economics

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 502U – Fundamentals of Economics

Prerequisites/Corequisites: Credit Hours: Min: 3; Max: Description:

By Breanna Lisenby |
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Jul
20

BUSI 503 – Business Analytics Topics

Prerequisites/Corequisites: Credit Hours: Min: 1; Max: 3 Description: An introduction to the basic concepts and methodology in data analytics including descriptive analytics, predictive analytics and prescriptive analytics. Students can take these classes more than once.

By Breanna Lisenby |
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