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Business Analytics BDATA.S.AAS

Associate of Applied Science - 60 Credit Hours

Division: Business and Public Services
Department: Business Information Systems
Effective as of Fall 2019

What is the program about?

Students will learn to use various software applications to extract, prepare, and visualize data in a way that is meaningful to a variety of organizations. Course work will include digital marketing, data analysis, and database concepts. Emphasis is placed on strong communication skills necessary to interact with key stakeholders to achieve their desired outcomes.

Program Outcomes

  • Demonstrate best practices for data collection, processing, and techniques to design dashboards, reports, and queries to provide business insights.
  • Apply quantitative skills appropriate to business analytics occupations.
  • Use analytical processes to identify the best alternatives and viable decision-making for business problems.

Career Opportunities

Business Intelligence Analyst, Quality Analyst, Fraud Analyst and Desktop Support Analyst.


Course Title Credits
(ACC 1100 OR ACC 1210) 3
BIS 1120 Introduction to Software Applications 3
BIS 1230 Spreadsheet Software 3
BIS 1260 Database Software 3
BIS 1600 Data Management & Visualization 3
BIS 2170 BIS Capstone 3
CIS 1140 Information Systems Analysis & Design 3
CIS 2165 Database Management 3
CIS 2265 Data Visualization 3
(COM 2211 OR COM 2225) 3
ECO 2160 Principles of Macroeconomics 3
ENG 1101 English Composition I 3
ENG 1131 Business Writing 3
LAW 1101 Business Law 3
MAN 1107 Foundations of Business 3
(MAT 1120 OR Ohio Transfer Module: Mathematics Elective) 3
MRK 2135 Digital Marketing 3
MRK 2230 Social Media & Consumer Engagement 3
MRK 2250 Digital Marketing Analytics 3
Ohio Transfer Module: Arts & Humanities Elective 3
- View the Master Syllabus - View the Course Schedule
This information is for planning purposes only. Sinclair College will make every effort to offer curriculum listed above but reserves the right to change, add and cancel curriculum offerings for unforeseen circumstances.