Undergraduate Catalog 2021-2022

Dec 04, 2024

Undergraduate Catalog 2021-2022 [ARCHIVED CATALOG]

Data Intelligence and Business Analytics, B.B.A.

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This is a Bachelor of Business Administration with a Major in Data Intelligence and Business Analytics. The degree centers around learning different programming, visualization, statistical, and research techniques necessary to analyze many different types of data-driven business problems. In this degree program, students will learn the basics of programming in a variety of languages, including SAS, R, SQL, and Python. They will learn how to use cross-sectional, panel, and time series data to make forecasts, conduct statistical inference, and present results associated with their work. Students will also learn the basics of data mining and data management within the context of SQL and will learn the basics of data visualization within the context of R and Tableau. Additionally, students will learn within the context of a Bachelor’s of Business Administration, which allows them to contextualize specific techniques and skills within a broader set of business tenets.

Learning Outcomes

1) Organize and analyze large data sets.

2) Perform basic SQL programming.

3) Perform basic programming tasks in SAS.

4) Build statistical models.

5) Create visual representations of data and statistical models within professional reports.

6) Create professional reports of data analysis and statistical models.

7) Interpret results of statistical analysis.

Requirements

Core Areas A, B, C, D, & E: 42 Hours

General Education Requirements (Core Curriculum)

Core Area A

(grade of C or higher)

must include:

MATH 1111 - College Algebra 3 Credit Hours (or)
MATH 1113 - Precalculus 3.0 - 4.0 Credit Hours

Core Area D

should include:

MATH 1413 - Survey of Calculus 3 Credit Hours

Core Area F: 18 Hours

Required Supporting Courses:

The following courses must be taken as electives if not taken to satisfy the Core requirements:

ECON 2105 - Principles of Macroeconomics 3 Credit Hours
ECON 2106 - Principles of Microeconomics 3 Credit Hours
ACCT 2101 - Principles of Accounting I 3 Credit Hours
ACCT 2102 - Principles of Accounting II 3 Credit Hours
and
MATH 1111 - College Algebra 3 Credit Hours (or)
MATH 1113 - Precalculus 3.0 - 4.0 Credit Hours
and
MATH 1413 - Survey of Calculus 3 Credit Hours
BUSA 2106 - Legal and Ethical Environment of Business 3 Credit Hours
CISM 2201 - Foundations of Business and Spreadsheet Analysis 3 Credit Hours

Major Courses

These are the courses that are required as part of the Business Intelligence and Data Analytics Degree.

Business Core: 27 Hours

These classes are required of all Bachelor’s in Business Administration majors. Students must complete the 24 hours of coursework listed here and must take one of the four International Select classes.

ABED 3100 - Business Communication 3 Credit Hours
CISM 3330 - Management of Information Systems 3 Credit Hours
ECON 3402 - Statistics for Business I 3 Credit Hours
ECON 3406 - Statistics for Business II 3 Credit Hours
FINC 3511 - Corporate Finance 3 Credit Hours
MGNT 3600 - Management 3 Credit Hours
MGNT 3615 - Operations Management 3 Credit Hours
MKTG 3803 - Principles of Marketing 3 Credit Hours

International Select Elective: 3 Hours

As part of the Business Core, students must take one of the following international select classes.

ECON 4450 - International Economics 3 Credit Hours (or)
MKTG 4866 - International Marketing 3 Credit Hours (or)
FINC 4521 - International Finance 3 Credit Hours (or)
MGNT 4625 - International Management 3 Credit Hours

Major Classes: 24 Hours

These are the major classes within the Data Intelligence and Business Analytics Degree. Students must take the seven required classes listed here as well as an “Analytics Select” elective course.

CISM 3340 - Data Resource Management and Design 3 Credit Hours
CISM 4390 - Business Intelligence and Data Mining 3 Credit Hours
ECON 4408 - Visual Analytics 3 Credit Hours
ECON 4476 - Senior Seminar in Data Intelligence and Business Analytics 3 Credit Hours
ECON 3408 - Introduction to Programming for Analytics 3 Credit Hours
ECON 3460 - Forecasting 3 Credit Hours
MGNT 4660 - Strategic Management 3 Credit Hours

Analytics Select Elective: 3 Hours

Students must complete one of the following electives as part of the Business Intelligence and Data Analytics program.

ACCT 4233 - Strategic Cost Management 3 Credit Hours (or)
ACCT 4241 - Accounting Information Systems 3 Credit Hours (or)
ECON 4475 - Introduction to Econometrics and Analytics 3 Credit Hours (or)
MGNT 3627 - Managing Cultural Differences 3 Credit Hours (or)
MGNT 4621 - Human Resource Applications and Analytics 3 Credit Hours (or)
MKTG 3808 - Business Research 3 Credit Hours (or)
MKTG 4808 - Marketing Information Systems and Research 3 Credit Hours (or)
MKTG 4864 - Consumer Behavior 3 Credit Hours (or)
MKTG 4868 - Marketing Metrics 3 Credit Hours (or)
RELE 4706 - Residential Appraisal 3 Credit Hours

Electives: 9 Hours

At least one elective must be taken within the RCOB.