Business Analytics, BA

Keiser University’s Business Analytics program prepares students to address real-world business challenges using technical skills and responsible data practices. The curriculum focuses on hands-on learning, promoting collaboration across disciplines, and building strong networks with industry leaders. Students will gain experience in analyzing complex data, applying insights, and creating solutions that support key business decisions. With an emphasis on ethical standards and practical skills, graduates will be ready for successful industry careers in analytics or further academic study.

Program Mission

The mission of Keiser University’s Business Analytics program is to prepare students with the knowledge, technical expertise, and soft skills needed for success in the field of data analytics. Through high-quality instruction, immersive learning experiences, and research opportunities, the program empowers students to leverage the potential of data for in-depth analysis, problem-solving, and innovative solution creation. The program is committed to upholding ethical standards in data utilization, fostering interdisciplinary collaboration, promoting lifelong learning, and facilitating meaningful engagement with industry partners.

Program Goals

Students will:

be proficient in data-driven problem-solving techniques and methodologies
analyze and correctly interpret complex data sets
apply data-driven insights to optimize business performance and decision-making
lead organizational transformation by leveraging prescriptive analytics to drive innovation.

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

Behavioral/Social Science (3.0 credit hours)
Introduction to Psychology	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

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	3.0 credit hours
Discrete Mathematics and Probability	4.0 credit hours
College Algebra	3.0 credit hours
Survey of Calculus (Shanghai location)	3.0 credit hours

Natural Science (6.0 credit hours)
General Biology	3.0 credit hours
Advanced Biology	3.0 credit hours
Environmental Science	3.0 credit hours
General Chemistry	3.0 credit hours
Advanced Chemistry	3.0 credit hours
Physics I	3.0 credit hours
Physics II	3.0 credit hours
General Physics I	3.0 credit hours
General Physics II	3.0 credit hours

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

Lower Division Business Analytics Major Courses (27.0 credit hours)
Accounting Principles I	3.0 credit hours
Accounting Principles II	3.0 credit hours
Financial Management	3.0 credit hours
Introduction to Data Visualization
R Programming	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
Python Programming Business Plan and Business Model Development	3.0 credit hours

Note: Students must successfully complete all Lower Division Major and General Education courses before taking Upper Division Major courses.

Upper Division Courses

Upper Division Business Analytics Major Courses (48.0 credit hours)
Business Analytics	3.0 credit hours
Management Information Systems	3.0 credit hours
Introduction to Business Intelligence	3.0 credit hours
Managerial Accounting	3.0 credit hours
Cloud Computing	3.0 credit hours
Advanced Business Intelligence	3.0 credit hours
Artificial Intelligence for Business	3.0 credit hours
Advanced Programming for Business Analytics	3.0 credit hours
Research Methods	3.0 credit hours
Database Management Systems	3.0 credit hours
Advanced-Data Visualization	3.0 credit hours
Data Mining and Warehousing	3.0 credit hours
Ethics in Information Systems	3.0 credit hours
Project Management	3.0 credit hours
Data and Information Systems Governance	3.0 credit hours
Information Technology Capstone OR Internship in Business Analytics: Information Systems and Operations Management – 48 internship hours OR Special Topic/Projects in Operations Analysis Note: At the Shanghai location, other courses as approved by the Program Director may be used to fulfill this requirement.	3.0 credit hours

Upper Division Electives (6.0 credit hours)
Elective I (3000-4000 Level)	3.0 credit hours
Elective II (3000-4000 Level)	3.0 credit hours

Upper-Level General Education Electives (6.0 credit hours)
Intermediate Statistics	3.0 credit hours
Professional Writing	3.0 credit hours

Note: Courses completed in China as part of the BA in Business Analytics program
General Chemistry	3.0 credit hours
Managerial Accounting	3.0 credit hours
Quantitative Approach to Business	3.0 credit hours
Introduction to Management/Organizational Behavior	3.0 credit hours
Introduction to Business Programming	3.0 credit hours
Group Communication and Team Interaction	3.0 credit hours

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