Data-Driven Decision Making Graduate Certificate
Data analytics involves the development and application of statistical and quantitative analysis methods and the construction of explanatory and predictive models to drive the decision-making process. Students pursuing a graduate certificate in data-driven decision-making will be better equipped to make informed decisions as leaders, managers, and analysts in the field of industrial engineering and beyond.
Program overview
The Data-Driven Decision Making Graduate Certification Program equips students with a basic foundation of critical tools to extract useful information from big data, as well as for modeling, simulation, optimization, and decision analysis in order to support efficient data-driven decision making. Upon receiving their certificate, students will gain essential skills to make effective, data-based business decisions. This type of certificate program covers a blend of analytical techniques, data visualization tools, and decision-making frameworks, emphasizing practical application in business and industrial engineering settings.
Why get a data-driven decision-making certificate?
The Data-Driven Decision Making Graduate Certificate Program is taught by world-class faculty in the Department of Industrial Systems and Engineering at UT who are dedicated to the success of their students. This graduate certification program enhances decision-making abilities through improved problem-solving skills, effective communication, tool proficiency and more, setting certificate-holders apart in an industry in high-demand for data-driven skills. Data-driven decision-making has real-world, wide applications, offering students more flexibility in their careers in the field of industrial engineering and beyond.
What can you do with a graduate certificate in data-driven decision making?
Receiving a certificate in data-driven decision making opens the doors to various career opportunities so students can thrive in roles as business and data analysts, strategy consultants, chief data officers, entrepreneurs, and more. The graduate program strengthens decision-making in management roles, offering certificate-holders a better chance of landing managerial roles or providing clarity for continuing on in an academic setting.
Featured Courses
Below are some of the courses that students in our program can choose to take. For a list of all courses, visit the graduate catalog.
IE 565 Applied Data Science
An introduction to applied data science including machine learning and data mining tools. Topics include supervised and unsupervised algorithms, techniques for improving model performance, evaluation techniques and software packages for implementation. Emphasis will be put on real-world applications in various domains including healthcare, transportation systems, etc.
IE 566 Optimization for Big Data
An introduction to modern optimization theories and algorithms for big data applications, including structure of large-scale optimization problems, algorithms for smooth and non-smooth problems, and computational efficacy of algorithms.
COSC 525 Deep Learning
Theoretical and practical aspects of how to build deep networks for representations of high-dimensional data. Deep models for both supervised and unsupervised learning will be discussed, including convolutional neural network, autoencoder, generative adversarial network, and recurrent neural network.
IE 608 Advanced Optimization via Simulation
Advanced topics in optimization via simulation with applications to areas of business and industry with focus on healthcare systems and supply chain and logistics: agent-based modeling and simulation, system dynamics, and discrete event simulation.
Related Programs
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