MSITM

MSITM

Program Links

Program Website      |       McCombs Application portal

Program Contacts

Faculty Contact

Admissions Contact

Senior Academic Program Coordinator

Faculty Contact

Admissions Contact

Senior Academic Program Coordinator

Caryn Conley
Caryn.Conley@mccombs.utexas.edu 

Baiyun Liu
Baiyun.Liu@mccombs.utexas.edu

Amy Mirran
Amy.Mirran@mccombs.utexas.edu

Location

McCombs School of Business (GSB)
100 W 21ST ST
Austin, TX 78712

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:

- Use AI and data-driven insights to solve complex business problems

- Oversee cloud-native digital infrastructure and analytics platforms

- Lead ethically responsible innovation in emerging tech applications

- Manage and implement IT projects aligned with organizational goals

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  

B A 385T Financial Management 

MIS 281N.28 Data Management 

MIS 382N.14 Business Data Science 

MIS 385N.15 Unstructured Data Analytics 

MIS 285N.1 Big Data & Distributed Programming

MIS 285N.2 Emerging Technologies 

MIS 285N.6 Strategic IT and Change Management 

MIS 385N.4 IT Capstone                       

MIS 385N.3 IT Security, Policy, and Compliance

29

Prescribed Electives

MIS 185N From Web2 to Web 3: Blockchain Solution Development Using Smart Contracts 

MIS 285N Introduction to Deep Learning  

R M 294 Financial Technology 

MIS 185N Human Dimensions of Cybersecurity 

MIS 185N Data Governance & Responsible AI 

MIS 285N Digital Technologies and Business Innovations 

MIS 185N Technical Dimensions of Cybersecurity 

MIS 285N Product Management 

MIS 285N Project Management 

MIS 285N GenAI and Emerging Trends In Machine Learning 

MIS 185N Data Product Lifecycle Management 

7

 TOTAL

36