Is this program right for you?
As the amount of data available continues to increase exponentially, more data-savvy managers are needed to sift through the vast amount of information, analyze and interpret large datasets. The University of Wisconsin-Madison’s online Capstone Certificate in Data Analytics for Decision Making prepares you for that role in just one year.
Our program is designed for working professionals, and course assignments are designed to be immediately applicable in organizational management and project planning. You’ll develop research projects that address your organization’s current strategic goals, apply a range of quantitative and qualitative data collection and analysis methodologies, develop better data management processes, and learn to communicate your findings effectively with your team. You will also learn about current organizational, public, and commercial data sources, and be able to explain the shortcomings of datasets and many data analysis methods.
Courses are taught by instructors from UW’s highly-ranked Information School, the Communications department, and the biometry program in the School of Agriculture and Life Sciences, giving you a well-rounded and interdisciplinary education. You complete the certificate entirely online within one calendar year, making it easier to balance your workload, education, and personal life. Plus, there are no statistics, mathematics, or computer science prerequisites required– you learn everything you need within the certificate program.
What you Learn
- Formulate questions related to existing organizational goals and challenges, identify sources of data to answer those questions, and design and implement a data analysis plan to answer the questions.
- Understand a range of data collection and analysis techniques and tools appropriate to organizational decision making and assessment, including data mining and visualizations.
- Effectively communicate the rationale, results, and analysis of a data project across different types of media.
- Articulate the value and limitations of data and analytics projects based on understanding of data quality, data availability, metadata functionality, and other data management issues.
Where & How you learn
- Complete three courses of three credits each—one required course per semester
- Courses are taught 100% online by experts in online learning. We focus on activity-based learning methods that you can apply immediately at work.
- Work on assignments both individually and with a group.
All applicants must:
- Have a bachelor’s degree in any field with a minimum undergraduate GPA of 3.0 on a 4.0 scale on the equivalent of the last 60 semester hours
- Complete an online application
- Non-native English speakers must have a Test of English as a Foreign Language (TOEFL) score of at least 580 (paper-based) or 237 (computer-based) or Michigan English Language Assessment Battery (MELAB) score above 82
- No prior coursework in statistics, research methods, or computer science required
- No GRE or GMAT required