Data Analytics, an Option to the Associate in Science in Business Administration
Program Description
The AS in Business Administration, Option in Data Analytics, is designed for those students desiring to transfer to a baccalaureate program in business and data analytics. This degree is a broad program of study that provides students with both business skills as well as a solid foundation in quantitative and programming skills. Students will generate insights from data allowing them to identify and predict business trends. Topics include computer databases, computer programming, inference, machine learning, optimization, probability and stochastic models, statistics, strategy, uncertainty quantification, and visual analytics.
Transfer Information
The major of data anlytics examines business principles with a focus on in-demand skills of analyzing data to guide decision making and improve an organization. Possible transfer opportunities in this field include: BS in Business Analytics and Data Science (NJCU), B.S. in Data Science or BS Business (NJIT), BS Data Science and Analytics (Thomas Edison), BS Business Administration, concentration Business Analytics (Montclair), BS in Data Science or minor in Business Analytics (Ramapo), BS in Business Analytics and Information Technology (Rutgers - requirements include Calculus), BSBA Business Analytics (Rider), and BS Business Studies concentration Business Analytics (Stockton). Other transfer opportunities are available, visit the OCC Academic Advising & Transfer Services Office for more information.
Students are encouraged to keep track of degree requirements by using the “My Progress” screen on Student Planning. Student Planning can be accessed via logging into Ocean Connect.
| First Semester | Credit Hours | |
|---|---|---|
| ENGL 151 | English I | 3.00000 |
| MATH 156 or Higher 1 | 3-6 | |
| ECON 151 | Macroeconomic Principles | 3 |
| Humanities Gen. Ed. Requirement | 3 | |
| Any STSC - Student Success Seminar course 2 | 2 | |
| Credit Hours | 14-17 | |
| Second Semester | ||
| ENGL 152 | English II | 3 |
| CSIT 165 | Programming I | 4.00000 |
| BUSN 134 | Principles of Marketing | 3 |
| CSIT 123 | Integrated Office Software | 3 |
| ECON 152 | Microeconomics Principles | 3 |
| Credit Hours | 16 | |
| Third Semester | ||
| ACCT 161 | Principles of Accounting I | 3 |
| BUSN 251 | Business Law I | 3 |
| CSIT 213 | Database Management | 3.00000 |
| CSIT 168 or MATH 157 | Introduction to Python Programming or Introduction to Data Science | 2-4 |
| Lab Science Gen. Ed. Requirement | 4 | |
| Credit Hours | 15-17 | |
| Fourth Semester | ||
| ACCT 162 | Principles of Accounting II | 3 |
| BUSN 271 | Principles of Management | 3 |
| CSIT 126 | Intermediate Spreadsheets and Database 1 or Networking I or Precalculus I or Introduction to Artificial Intelligence | 3.00000 |
| COMM 154 | Fundamentals of Public Speaking | 3.00000 |
| Elective to meet 60 credits 3 | 3 | |
| Credit Hours | 15 | |
| Total Credit Hours | 60-65 | |
- 1
Most four-year business analytics degree programs require Statistics, yet many also desire Business Calculus or Calculus as the entry-level math course. Please discuss your course choices with your assigned advisor.
- 2
A variety of STSC -Student Success Seminar courses are available. Please speak to your academic advisor for assistance when selecting.
- 3
BUSN 159 is a recommended elective.