Program Overview
Data Analytics is a joint program of the Zimpleman College of Business and the College of Arts and Sciences designed to develop analysts who can work with data to uncover practical insights and support sound and ethical decision-making. The foundation of the program is a core of computer science and statistics classes that build problem-solving skills.
Data Analytics Major Requirements
The requirements below apply to the B.S.B.A. Data Analytics major within the Zimpleman College of Business. See the Arts & Sciences section for the requirements for the Bachelor of Science (B.S.) Data Analytics major within the College of Arts and Sciences.
Course List | Code | Title | Hours |
| ACCT 041 | INTRODUCTION TO FINANCIAL ACCOUNTING | 3 |
| ACCT 042 | INTRODUCTION TO MANAGERIAL ACCOUNTING | 3 |
| BLAW 060 | BUSINESS LAW I | 3 |
| BUS 001 | WELCOME TO BUSINESS | 1 |
| BUS 002 | CAREER READINESS AND PROFESSIONALISM | 1 |
| BUS 003 | PERSONAL BRANDING EXCELLENCE | 1 |
| BUS 004 | PURSUING YOUR NORTH STAR | 1 |
| BUS 070 | GLOBALIZATION | 3 |
| BUS 195 | BUSINESS STRATEGY AND POLICY | 3 |
| ECON 002 | PRINCIPLES OF MICROECONOMICS | 3 |
| IS 044 | MICROSOFT OFFICE TOOLS FOR BUSINESS ANALYSIS | 2 |
| IS 075 | INFORMATION TECHNOLOGY AND BUSINESS | 3 |
| FIN 101 | CORPORATE FINANCE | 3 |
| MGMT 110 | ORGANIZATIONAL BEHAVIOR | 3 |
| MGMT 120 | MANAGEMENT OF OPERATIONS | 3 |
| MKTG 101 | MARKETING PRINCIPLES | 3 |
| 3-3.5 |
| STATISTICS I | |
| INTRODUCTION TO PROBABILITY I
and INTRODUCTION TO PROBABILITY I LAB | |
| PROBABILITY FOR ANALYTICS | |
| 3 |
| STATISTICS II | |
| MATHEMATICAL STATISTICS | |
| CS 065 | INTRODUCTION TO COMPUTER SCIENCE I | 3 |
| CS 066 | INTRODUCTION TO COMPUTER SCIENCE II | 3 |
| CS 083 | DIGITAL ETHICS | 3 |
| CS 167 | MACHINE LEARNING | 3 |
| CS 178 | CLOUD AND DATABASE SYSTEMS | 3 |
| IS 160 | DATABASE MANAGEMENT | 3 |
| MATH 050 | CALCULUS I | 3 |
| MATH 070 | CALCULUS II | 3 |
| 3-3.5 |
| PROBABILITY FOR ANALYTICS | |
| INTRODUCTION TO PROBABILITY I
and INTRODUCTION TO PROBABILITY I LAB | |
| STAT 040 | INTRODUCTION TO R AND SAS | 3 |
| STAT 170 | REGRESSION AND TIME SERIES | 3 |
| STAT 172 | DATA MINING AND GENERAL LINEAR MODELS | 3 |
| STAT/CS 190 | CASE STUDIES IN DATA ANALYTICS | 3 |
| Total Hours | 84-85 |
In addition to programmatic requirements, students are responsible for satisfying all requirements of the Drake Curriculum, including Areas of Inquiry (AOI)
Student must also satisfy university graduation requirements for all undergraduate students..