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GS 4400 (4 credits)

Making Decisions with Data

This course explores the principles and practices of data-driven decision-making, emphasizing the importance of rigorous empirical evidence in guiding decisions within organizational contexts. Students will examine how knowledge is validated, distinguishing credible and relevant methods of assembling information. The course will cover the definitions and distinctions between inputs, outputs, and outcomes, the use of logic models, and the necessary data infrastructure for effective practices. Additionally, students will learn to use data to justify and support change initiatives, linking data-driven insights to change management strategies. Engaging with case studies, real-world applications, and emerging trends, students will develop critical thinking skills to address complexities and uncertainties in decision-making processes that are heavily informed by data.

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Tuition Rate

Per Credit:

$781


Additional Fees
Technology Fee: $4/credit hour for each class taken for credit

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Please check Canvas one week before class begins for any pre-class assignments.