Academics
MSITM students meet the growing demand for leaders who design, develop, and manage AI solutions to create business and social value. Learn how AI and other emerging technologies can change business for good.
“The tech-nerd in me is exhilarated by the program’s cutting-edge curriculum, which focuses on emerging technologies taught by some of the most brilliant professors in the industry. The quality of education that you receive at McCombs is unmatched.”
Ella Akl, MSITM ’21
Customer Engineer at Google
Course highlights
Business Problem Solving with Unstructured Data and GenAI
Business Problem Solving with Unstructured Data and GenAI
Through real-world use cases and hands-on projects, you'll learn how Generative AI and unstructured data analytics are transforming business decision-making, customer engagement, and innovation.
Fundamentals of Neural Networks and Machine Learning
Fundamentals of Neural Networks and Machine Learning
An introduction to core machine learning techniques used in business decision-making - from regression and classification to advanced neural networks. Explore ensemble learning and transfer learning, and apply them to hands-on challenges including computer vision and predictive analytics.
Strategic IT and Digital Transformation
Strategic IT and Digital Transformation
Explore how AI and digital technologies are transforming industries and redefining strategy. Through case studies and simulations, this course prepares you to lead digital change and compete in disruptive ecosystems.
Faculty Spotlight
Anitesh Barua ❘ Professor
Anitesh Barua ❘ Professor
Anitesh Burua is a professor of MSITM and the chair of McCombs' department of Information, Risk & Operations Management. His research and teaching interests include unstructured data analytics, mobile apps, cryptocurrency and blockchain, open source innovation, ways to measure business value of information technology, analysis of strategic information technology investments, and the economics of information systems.
Constantine Caramanis ❘ Professor
Constantine Caramanis ❘ Professor
Constantine Caramanis is a professor from the Cockrell School of Engineering. His research interests center on decision-making in large-scale complex systems, with a focus on learning and computation. Specifically, he is interested in robust and adaptable optimization, high dimensional statistics and machine learning, and applications to large-scale networks, including social networks, wireless networks, transportation networks, and energy networks. He also works on applications of machine learning and optimization to computer-aided design.
Classroom to career
Students from the MSITM program have gone on to hold roles as data, software, and machine learning engineers and consultants at companies across industries. Program alumni utilize the hands-on learnings on AI and machine learning from the MSITM curriculum and capstone projects to succeed in their roles and adapt to new technologies.
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