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- Graduate Certificate in Business (Semester)
- Graduate Certificate in Business Management (Semester)
- Graduate Certificate in Evidence-Based Coaching
- Graduate Certificate in Healthcare Business Improvement (Semester)
- Graduate Certificate in Human Resource Leadership (Semester)
- Graduate Certificate in Human Resource Management (Semester)
- Graduate Certificate in Leading Complex Organizational Projects
- Post-Doctoral Bridge to Business Administration Certificate (Semester)
- Post-Doctoral Bridge to Management Certificate
- Undergraduate Certificate in Data Science
- Post-Baccalaureate Certificate in Organizational Psychology and Development
- Graduate Certificate in Advanced Cyber Security
- Graduate Certificate in Advanced Project Management
- Graduate Certificate in Applied Project Management
- Graduate Certificate in Auditing
- Graduate Certificate in Brand and Product Marketing
- Graduate Certificate in Communication
- Graduate Certificate in Data Management
- Graduate Certificate in Digital Marketing
- Graduate Certificate in Fundamentals of Cyber Security
- Graduate Certificate in Information Systems (Semester)
- Graduate Certificate in Leadership (Semester)
- Graduate Certificate in Managerial Accounting
- Graduate Certificate in Population Health
- Graduate Certificate in Information Systems (Quarter)
- Graduate Certificate in Leadership (Quarter)
- Post-Doctoral Bridge to Business Administration Certificate (Quarter)
- Graduate Certificate in Human Resource Management (Quarter)
- Graduate Certificate in Human Resource Leadership (Quarter)
- Graduate Certificate in Business Management (Quarter)
- Graduate Certificate in Business (Quarter)
- Graduate Certificate in Healthcare Business Improvement (Quarter)
The Data Science certificate features a sequence of five courses totaling 25 credits. This valuable credential attests to specialized knowledge and skills that can be applied immediately across many industries that use data to make business decisions. The data science courses associated with this certificate were developed in partnership with IBM.
Note: This certificate is currently not available as a standalone offering. Students may complete the certificate requirements by way of program concentration or elective courses to earn this credential as a part of their undergraduate degree program.
Certificate Requirements
- 25 total quarter credits
- 2.5 quarters (7 months) to complete
Curriculum
- Students may take this as a non-degree course.
- Students may take this as a non-degree course.
Course Sequence
Students undertake courses in the following sequence.
Quarter | Course | Credits |
---|---|---|
Quarter 1* |
DSCI 2010 - Data Science Essentials |
5 credits |
STAT 3401 - Statistics for Data Analytics** |
5 credits | |
Quarter 2 |
DSCI 2020 - Storytelling With Data: Visualization and Communication |
5 credits |
DSCI 3030 - Data Mining and Analysis |
5 credits | |
Quarter 3 |
DSCI 3040 - Advanced Data Science Tools and Techniques |
5 credits |
*Quarter 1 courses may need to be taken in reverse order, depending on availability.
**If completing certificate requirements within a Walden undergraduate degree, the following courses may fulfill the STAT 3401 requirement:
- Students may take this as a non-degree course.
OR
- Students may take this as a non-degree course.
OR
- Students may take this as a non-degree course.
OR
- Students may take this as a non-degree course.