Graduate certificate Program

Certificate in Decision Making and Applied Analytics (CDA)

Make decisions with confidence. Build practical skills in decision-making, data analysis, and leadership, and apply them immediately in your work.

A Faster Path to Impact

The Certificate in Decision Making and Applied Analytics (CDA) is designed for working professionals who want to strengthen their decision-making skills without committing to a full master’s degree.

Over 12 months, you will:

Build practical frameworks for analyzing complex problems

Strengthen your ability to use data and evidence in decision-making

Develop leadership and collaboration skills

Apply what you learn directly in your current role

The program is part-time and fully online, allowing you to advance your skills while continuing to work.

Start Here. Go Further.

The CDA can be a standalone credential or the first step toward the master’s degree.

Earn 24 academic credits

Apply your learning immediately

Petition to transfer into the MDA program

75%

of students who wanted to continue into the master’s successfully transferred.

What You’ll Study

The CDA curriculum builds the foundational skills of decision-making, analysis, and leadership.

The program consists of four practical, online courses that develop:

Critical and creative thinking

Data analysis and interpretation

Structured approaches to problem solving

Communication and collaboration skills

Required Courses

The CDA includes a set of required courses that introduce the core frameworks used throughout Minerva’s graduate programs.

AI Fluency: Harness Technology, Strengthen Judgment

At Minerva, AI fluency is about more than learning tools, it’s about developing the judgment to use AI effectively and responsibly. Throughout the CDA program, you’ll learn how to apply AI to systems thinking, data analysis, and real-world decision-making while critically evaluating when AI insights are valuable and when human oversight is essential.

From modeling complex systems and exploring scenarios to accelerating data analysis and problem solving, AI becomes a practical partner in your learning. By the end of the program, you’ll be prepared to integrate AI into professional workflows, strengthen your analytical thinking, and make smarter, more confident decisions.

Apply What You Learn

The CDA is designed for immediate application.

Students regularly:

Apply frameworks to challenges in their current roles

Use coursework to address real organizational problems

Test ideas and approaches in real time

You gain tools you can use right away, not just after completing the program.

Designed for Your Life

The program is structured to fit alongside your professional commitments.

One or two course modules a month

Live seminars held Friday through Sunday

1.5–2.5 hour sessions with some flexibility

Approximately 20 hours of learning per weekend

This modular format allows you to stay fully engaged while continuing to work.

Learn With a Global Cohort

You will learn alongside professionals from around the world, bringing diverse perspectives into every discussion and project.

Collaborate with peers across industries and roles

Share insights from different cultural and professional contexts

Build relationships that extend beyond the program

Optional immersion experiences allow you to engage with global leaders and apply your learning in new environments.

Where This Leads

Graduates use the CDA to:

Strengthen their performance in current roles
Advance into leadership positions
Build new analytical and decision-making capabilities
Prepare for further graduate study

From Our Students

I love that Minerva's curriculum is both big picture—addressing meta themes such as how we can best learn given insights from the science of learning—and detailed, such as the problem-solving HCs that give you a frame for breaking down problems. The result is an incredibly robust curriculum that is as ambitious as the subject matter. Decisions touch every facet of life and this program prepares you for it all.

- Tiffany Rendall,
Class of 2024