Program Overview

Depending on the course and project work, you may work with programming and query languages such as Python and SQL, along with cloud and enterprise platforms, data management tools, analytics and visualization technologies, and generative AI tools and frameworks.

The curriculum also introduces technologies and practices related to data engineering, digital enterprise architecture, information security, product development, and AI-enabled business applications.

The MSIS curriculum is continuously updated to reflect emerging technologies, evolving business needs, and current industry practices. Courses incorporate modern topics such as generative AI, AI ethics and safety, digital transformation, cloud platforms, data engineering, information security, and product management.

The program also benefits from input from its industry advisory board and faculty with professional and research expertise in technology and business innovation. Through experiential projects, real-world business challenges, and applied learning activities, you'll work with current tools, frameworks, and practices that align with today’s rapidly changing technology landscape.

Students in the MSIS program gain exposure to a range of technical tools, platforms, and technologies used in modern business and technology environments. Depending on the course and project work, students may work with programming and query languages such as Python and SQL, along with cloud and enterprise platforms, data management tools, analytics and visualization technologies, and Generative AI tools and frameworks.

The curriculum also introduces students to technologies and practices related to data engineering, digital enterprise architecture, information security, product development, and AI-enabled business applications. The program emphasizes practical, hands-on learning so students can apply these tools to real organizational and business challenges.

USF’s MSIS program is strong in AI because it combines practical AI applications with business strategy, leadership, ethics, and real-world organizational problem solving. The program integrates AI throughout the curriculum rather than treating it as an isolated topic, allowing students to understand how AI technologies impact products, services, operations, decision-making, and digital transformation initiatives across industries.

The MSIS program prepares you for AI-related roles by combining technical knowledge, business strategy, experiential learning, and practical applications of AI technologies in organizational settings. You'll learn how AI and generative AI tools are used to support decision-making, automate processes, improve customer experiences, develop products and services, and drive digital transformation across industries.

As an MSIS student, you'll gain exposure to a variety of AI tools, technologies, and frameworks used in modern business and organizational environments. Through coursework and experiential projects, you'll work with generative AI technologies, AI-enabled business applications, data engineering tools, analytics platforms, cloud-based technologies, and enterprise systems that support AI-driven decision-making and digital transformation initiatives.

The program also introduces concepts and practices related to prompt engineering, AI-assisted workflows, data pipelines, AI governance, AI ethics and safety, and the integration of AI technologies into products, services, and organizational processes. The emphasis is placed on practical and strategic applications of AI technologies within real-world business contexts rather than solely on theoretical model development.

Yes. In addition to the required AI-related courses in the MSIS curriculum, you have opportunities to take domain-specific courses offered through other graduate programs at the University of San Francisco. These courses can help you further expand your knowledge and explore AI applications in different business, technology, and industry contexts.