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The Certificate of Proficiency in Data Analytics and Decision Making provides a skill set of recognizing the importance of data for solving operational, tactical, and strategic level organizational problems. Students will learn how to evaluate the characteristics, capabilities, and limitations of digital data as well as understand data-related laws and ethical practices. Courses cover topics related to the data analytics process, business rule modeling, data transformation, data management, applied statistics, data visualization, storytelling, and the ethical considerations of data analytics.
Total Program Credits: 18
| Discipline Core Requirements: | 18 Credits | ||
| MGMT 1400 | Introduction to Data Analytics | 3 | |
| CS 1400 | Fundamentals of Programming | 3 | |
| MATH 1050 | College Algebra (MATH 1050 or higher)1 | 3 | |
| Complete one of the following: | 3 | ||
| MATH 1100 | Introduction to Calculus (4)3 | ||
| MGMT 2240 | Business Calculus (3) | ||
| MGMT 2340 | Business Statistics I (3) | ||
| STAT 2050 | Introduction to Statistical Methods (4) | ||
| Elective Requirements: | 6 Credits | ||
| Choose six credits from the following:2 | 6 | ||
| MGMT 2400 | Introduction to Data Analytics for Business Professionals (3) | ||
| MGMT 2240 | Business Calculus (3) | ||
| MGMT 2340 | Business Statistics I (3) | ||
| MKTG 3300 | Marketing Analytics (3) | ||
| CS 1410 | Object-Oriented Programming (3) | ||
| CS 2420 | Introduction to Algorithms and Data Structures (3) | ||
| STAT 2050 | Introduction to Statistical Methods (4) | ||
| BIOL 1011 | Introduction to Bioinformatics (3) | ||
| BIOL 3100 | Introduction to Data Analysis for Biologists (3) | ||
Graduation Requirements:
| Footnote | |
| 1 Math courses numbered higher than MATH 1050 may also be used to fulfill the requirement. | |
| 2 Cannot use courses as electives that were counted in the core. | |
| 3 If this course was used to fulfill the MATH 1050 requirement, a different course must be selected for this category. |
This graduation plan is a sample plan and is intended to be a guide. Your specific plan may differ based on your Math and English placement and/or transfer credits applied. You are encouraged to meet with an advisor and set up an individualized graduation plan in Wolverine Track.
Milestone courses (pre-requisites for a course in one of the subsequent semesters) are marked in red and Italicized.
| Semester 1 | Course Title | Credit Hours |
| MATH 1050 | College Algebra | 3 |
| MGMT 1400 | Introduction to Data Analytics | 3 |
| CS 1400 | Fundamentals of Programming | 3 |
| Semester total: | 9 | |
| Semester 2 | Course Title | Credit Hours |
|
MATH 1100 or MGMT 2240 or STAT 2050 |
Introduction to Calculus or
Business Calculus (Cannot be used as an elective if counted in the core. Business Statistics I Cannot be used as an elective if counted in the core Introduction to Statistical Methods Cannot be used as an elective if counted in the core |
3 |
| Complete 6 credits of electives from list. | 6 | |
| Semester total: | 9 | |
| Degree total: | 18 | |
The Strategic Management department is in the Woodbury School of Business. To find the most up-to-date information, including Program Learning Outcomes for degree programs offered by the Strategic Management department, visit their website.
