The need for data analytics, and practitioners who can understand and interpret the ever-increasing amounts of data today's professional organizations employ, will grow exponentially in the coming years.
Students in the Bachelor of Business Administration in Data Analytics degree program will learn key concepts in data aggregation, management and interpretation as they prepare for a career on the cutting edge of the business landscape.
Course work includes database structures, computer programming, data visualization, machine learning and business forecasting, as well as a variety of general business principles, including accounting, economics, finance and marketing.
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OCU University is one of only two private universities in Oklahoma to have a business school accredited by AACSB. AACSB-accredited schools with higher overall GPAs, more international students, more employers that recruit from them and graduates that receive better salaries.
Meinders has a 11:1 ratio in most classrooms. Small class sizes and highly qualified professors ensure you
Meinders business students have enhanced opportunities from business plan and ethics competitions to internships, study abroad, live investment activities, and events with local business leaders and philanthropists. Our students have access to some of the best active learning experiences in Oklahoma and abroad.
Students have outstanding opportunities to travel and study internationally.
The business school contains cutting-edge technology in more than 12 teaching rooms, four executive classrooms, large and small conference rooms, four computer labs, a student/faculty lounge to facilitate collaboration and mentoring, breakout rooms for small-group meetings and a 250-seat, theater-styled auditorium.
General education courses require 43 credit hours. The basic general education curriculum is a requirement for all undergraduate degrees at OCU University.
All students completing majors in the Meinders School of Business BBA degree must complete the following required courses referred to as the Business Core.
Business Core: 59 credit hours
| COURSE NUMBER | COURSE TITLE | CREDIT HOURS |
|---|---|---|
| IT 1003 | Introduction to Information Technology | 3 credit hours |
| IT 3133 | Technology and Operations Management | 3 credit hours |
| PHRH 1103 | Public Speaking | 3 credit hours |
| MGMT 1001 | Freshman Business Connection | 1 credit hour |
| MGMT 2001 | Sophomore Business Connection | 1 credit hour |
| MGMT 2023 | Business Communication and Technical Writing | 3 credit hours |
| MGMT 2213 | Business Law | 3 credit hours |
| MGMT 2223 | Business Ethics and Leadership | 3 credit hours |
| MGMT 3123 | Principles of Management and Organization | 3 credit hours |
| MGMT 3213 | Human Resources Management | 3 credit hours |
| ACCT 2113 | Financial Accounting | 3 credit hours |
| ACCT 2213 | Managerial Accounting | 3 credit hours |
| ECON 2013 | Principles of Macroeconomics | 3 credit hours |
| ECON 2113 | Principles of Microeconomics | 3 credit hours |
| ECON 2123 | Business Statistic | 3 credit hours |
| ECON 2423 | Incremental Analysis and Optimization or | 3 credit hours |
| MATH 2004 | Calculus and Analytical Geometry | 3 credit hours |
| ECON 3013 | International Economic Policies | 3 credit hours |
| ECON 3513 | Applied Statistics for Business | 3 credit hours |
| MKTG 3013 | Marketing Principles | 3 credit hours |
| FIN 3023 | Business Finance | 3 credit hours |
| MGMT 4573 | International Business Strategy | 3 credit hours |
Electives Credit Hours: 0鈥�9
Students majoring in economics with arts and sciences second fields and students majoring in business administration may take business courses to fulfill their elective requirement. B.B.A./M.S.A. students are not required to take IT 3133, Technology and Operations Management.
| COURSE TITLE | CREDIT HOURS |
|---|---|
| Database Structures and SQL | 3 credit hours |
| Computer Programming | 3 credit hours |
| Data Wrangling | 3 credit hours |
| Data Visualization | 3 credit hours |
| Business Forecasting and Econometric Models | 3 credit hours |
| Machine Learning Fundamentals | 3 credit hours |
| Elective/Special Topic | 3 credit hours |
