MSITM
Program Links
Program Contacts
Faculty Contact | Admissions Contact | Senior Academic Program Coordinator |
|---|---|---|
Caryn Conley | Baiyun Liu | Amy Mirran |
Location
Robert B. Rowling Hall
300 W Martin Luther King Jr Blvd
Austin, TX 78705
Overview
The Master of Science in Information Technology & Management (MSITM) is a 10-month, STEM-designated program that equips students with the expertise needed to navigate today’s rapidly evolving digital landscape. Designed around a forward-thinking curriculum, the MSITM builds foundational and advanced skills in cloud computing, generative AI (GenAI), machine learning, data management, and technology-driven decision-making.
The MD/MSITM dual degree cultivates a new generation of physician-leaders capable of addressing complex business and technological challenges at the intersection of medicine and technology. Graduates of this program will be uniquely positioned to integrate AI-driven diagnostics, data science, machine learning, and cloud-enabled healthcare solutions to enhance patient care, streamline operations, and inform strategic decision-making in clinical settings.
Students will gain expertise in ethical AI deployment, healthcare analytics, and technology management, contributing to innovative solutions in precision medicine, medical data ecosystems, and clinical informatics.
The program offers a robust, interdisciplinary curriculum that blends technical proficiency, business acumen, and strategic leadership. Students apply these concepts to real-world challenges, gaining hands-on experience in environments where IT systems impact organizational performance and healthcare delivery.
They will be equipped to:
Design and deploy AI models to solve real-world business problems.
Architect scalable, secure, cloud-native data solutions.
Integrate digital capabilities into business strategy.
Work in multi-disciplinary teams to build solutions and roadmaps rooted in business outcomes.
Implement ethical AI with governance, privacy, and bias safeguards.
The MD/MSITM program allows students to combine their background in medicine with skills learned in the MSITM program. Graduates will develop competencies to help navigate the impact of technology in healthcare and medicine, including:
Advanced data analytics and modeling for medical and business insights
Application of machine learning in clinical decision-making
Cloud-based health IT systems integration and management
Ethical and regulatory understanding of AI in healthcare
Strategic IT planning and transformation leadership
Curriculum
Students in the MSITM program must complete 36 hours of required coursework, as outlined in the table below. This includes 29 hours of core courses and 7 credit hours of electives, chosen from a prescribed list and approved by a program advisor. The Capstone course is required of all students and is an opportunity to work with real-world companies to build systems utilizing technologies learned in the MSITM curriculum.
Category | Semester Credit Hours |
Required Courses MIS s385N.8 Design Methods MIS s385N.9 Advanced Programming & App Development l B A 385T Financial Management MIS 281N.28 Data Management MIS 382N.16 Fundamentals of Neural Networks and Machine Learning MIS 385N Business Problem Solving with Unstructured Data and GenAI MIS 285N Advanced Programming & App Development ll MIS 285N Mathematical Foundation of AI MIS 285N Strategic IT and Digital Transformation MIS 385N.4 IT Capstone MIS 385N Risk Governance in AI and Intelligent Automation | 29 |
Prescribed Electives MIS 285N Generative AI l MIS 185N Data Governance & Responsible AI MIS 285N AI in the Enterprise MIS 185N Tech Foundations of AI- Driven Cybersecurity MIS 285N Product Management MIS 285N Project Management MIS 285N Generative AI ll MIS 185N Managing Data Product for AI | 7 |
TOTAL | 36 |
Degree Format
The MSITM program is a full-time, 10-month, on-campus program that begins in July and ends in May. Students will take 6 credit hours in the Summer Term, 15 credit hours in the Fall Term, and 15 credit hours in the Spring Term.