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Business Analytics, BA

Keiser University

This program is available in the following Florida campuses:

Flagship Residential Campus, Online Education, Shanghai, China

Keiser University’s Bachelor of Arts degree in Business Analytics prepares students for a career in Business Analytics, also known as Business Intelligence. The program aims to provide students with knowledge in business and technical competencies to identify valid, novel, useful and understandable patterns in large volume of data. Students will work independently, in groups, and with organizations to turn meaningful data into useful information that will help to uncover strategic business needs, influence business decisions, and set new standards for sound decision making.

Program Objectives

The following objectives are designed to meet Keiser University’s mission and its objectives:

  • Prepare students’ abilities to understand business concepts, terms, and theories.
  • Prepare students in becoming proficient in the use of computer languages, databases, and other applications of information technology.
  • Develop students’ understanding of business problems.
  • Develop students’ analytical skills used in business decisions.
  • Develop students’ ability to solve problems through the use of critical thinking techniques.
  • Develop students’ communication skills necessary to meet the needs of business organizations.
  • Prepare students for a professional work environment as a business analyst.

Prerequisites for Major Courses

Successful completion of:

  • MAC2233
  • STA2023

Program Outline

To receive a Bachelor of Arts degree in Business Analytics, students must complete 121 credit hours as described below.  The length of this program is approximately 40 months (this will vary if a student transfers in credits).

Lower Division Courses

Lower Division Business Analytics Major Courses (24.0 credit hours)
Accounting Principles I 3.0 credit hours
Accounting Principles II 3.0 credit hours
Financial Management 3.0 credit hours
Principles of Management 3.0 credit hours
Introduction to Marketing 3.0 credit hours
Introduction to Algorithms 3.0 credit hours
Problem Solving Using Computer Software 3.0 credit hours
Python Programming 3.0 credit hours
Behavioral/Social Science (3.0 credit hours)
American History Pre 1876 3.0 credit hours
American History Since 1876 3.0 credit hours
Political Science 3.0 credit hours
Introduction to Psychology 3.0 credit hours
Sociology 3.0 credit hours
Communication (3.0 credit hours)
Speech Communication 3.0 credit hours
Computers (3.0 credit hours)
Introduction to Computers 3.0 credit hours
Economics (6.0 credit hours)
Microeconomics 3.0 credit hours
Macroeconomics 3.0 credit hours
English (6.0 credit hours)
English Composition I 3.0 credit hours
English Composition II 3.0 credit hours
Humanities/Fine Arts (3.0 credit hours)
American Literature 3.0 credit hours
English Literature 3.0 credit hours
Mathematics (10.0 credit hours)
Statistics (required) 3.0 credit hours
Discrete Mathematics and Probability (required) 4.0 credit hours
College Algebra 3.0 credit hours
Survey of Calculus (China program) 3.0 credit hours
Natural Science (6.0 credit hours)
General Biology 3.0 credit hours
Advanced Biology 3.0 credit hours
Advanced Biology 3.0 credit hours
Chemistry 3.0 credit hours
Advanced Chemistry 3.0 credit hours
Physics I 3.0 credit hours
Physics II 3.0 credit hours
Environmental Biology 3.0 credit hours

* Must be completed with a "C" or higher for Gordon Rule credit.

Upper Division Courses

Upper Division Business Analytics Major Courses (45.0 credit hours)
Management Information Systems 3.0 credit hours
Ethics in Information System 3.0 credit hours
Enterprise Information Systems 3.0 credit hours
Project Management 3.0 credit hours
Advanced Business Application Program 3.0 credit hours
Research Methods 3.0 credit hours
Introduction to Business Intelligence 3.0 credit hours
Introduction to Business Programming 3.0 credit hours
Data Mining and Warehousing 3.0 credit hours
Database Management Systems 3.0 credit hours
Advanced Business Intelligence 3.0 credit hours
Intermediate Statistics 3.0 credit hours
Internship in Business Analytics: Information Systems and Operations Management OR Special Topic/Projects in Operations Analysis OR Other disciplinary courses if transferred from SCIFLC as part of the China program 6.0 credit hours
Upper Division General Education (6.0 credit hours)
Group Communication and Team Interaction 3.0 credit hours
General Education elective 3.0 credit hours
Electives (6 credits, these two courses or any other courses of the student’s choice)
Web Systems 3.0 credit hours
Principles of Managerial Finance 3.0 credit hours
Note: Courses completed in China as part of the BA in Business Analytics program
CHM2045 - General Chemistry 3.0 credit hours
ACG3037 - Managerial Accounting 3.0 credit hours
QMB3200 - Quantitative Approach to Business 3.0 credit hours
MAN3075 - Introduction to Management/Organizational Behavior 3.0 credit hours
ISM3230 - Introduction to Business Programming 3.0 credit hours
COM3441 - Group Communication and Team Interaction 3.0 credit hours