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MS-AIB academics

Leverage AI to future-proof your career and organizations around the world. The ASU Master of Science in Artificial Intelligence in Business (MS-AIB) program incorporates an applied curriculum and career coaching to prepare you for success in emerging roles across industries. Taught by world-renowned faculty, the MS-AIB degree develops technical and professional skills needed to thrive in the constantly evolving landscape of technology and business.


Designed to be completed in as little as 9 months, the master’s degree in AI for business is a full-time in-person program that requires 30 total credit hours. Students take exciting electives along with core courses that prepare them to manage and lead meaningful and responsible innovation — by embedding AI into transformation strategies that substantially and sustainably improve business outcomes and impact the community. The program culminates with a capstone experience focusing on transforming business with AI.

Takeaways for students

  • Learn how to analyze diverse business situations and apply AI to further business goals
  • Understand and effectively communicate the impact of AI transformations
  • Practice mindful AI and pay attention to ethics, bias, welfare, privacy, and trust
  • Lead cross-functional conversations and collaboration for effective implementation
  • Advance your career and solve pressing challenges for global businesses
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MS-AIB courses

Explores modern artificial intelligence (AI) technology, applications, techniques and their implications for business. People, process and technology factors related to the innovation and adoption of AI in the commercial enterprise and how it shapes the competition and society in the future. Also covers implications for information systems professionals as it pertains to managing the AI infrastructure (robots, algorithms, platforms).

Provides a foundation in programming fundamentals, the skills to combine and manipulate structured and unstructured data, and the ability to summarize, visualize, and draw insights from the data. This course may be waived with demonstrated Python proficiency.

Ensuring the foundational understanding of contextualized analytics within the business enterprise continuum by covering how data flows and is managed across the landscape of enterprise business processes.

Addresses central issues in managing information to achieve competitive advantage and support innovation. Specific topics covered include data quality, data modeling using both entity relationship models and star schemas, data governance, document management, document search, enterprise performance management and visualization techniques.

Charting a roadmap for data-driven decision making and getting a practical understanding of how IT tools and techniques can allow managers to extract predictive analytics and patterns from primarily numeric data.

The focus of this course is on three primary areas: gaining a thorough understanding of business processes, investigating the enterprise systems that underpin them, and exploring how digital transformation, with a special emphasis on emerging AI technologies, can significantly improve business results.

Uses tools and techniques to analyze unstructured data that are applied to business problems to support informed decision making and the extraction of predictive analytics and patterns from primarily nonnumeric data.

Students will benefit from understanding practical ramifications of Information and Information Technology governance decisions, how they support broader business objectives, and implications of geopolitical differences. Business students will gain insights into best practices of governing data analytics, artificial intelligence/advanced algorithms (AI), cloud platforms, information and cybersecurity, as well as understand their pivotal role in supporting global business strategy.

Deep learning applications have become an integral part of our lives over the last decade. Applications based on deep learning models cover a wide spectrum of industries including retail, automotive, manufacturing, health care, banking, insurance, agriculture, security and surveillance. Hands-on look at the latest models, trends, challenges and strategy of deep learning applications in business.

Delves into the strategic, technical and ethical dimensions of leveraging AI and analytics to transform businesses. Focuses on formulating strategies that integrate AI capabilities to sustain a competitive advantage.

Integrate and apply your technical expertise, business acumen, and ethical considerations to solve real-world business challenges. Working in teams, students will design an AI-driven transformation project that addresses a specific business problem while demonstrating mindfulness and ethical considerations. Through the semester-long project, students will navigate the complexities of managing and deploying AI solutions in business settings, with an emphasis on creating sustainable and impactful transformations.

Professional preparation

As AI's role in business operations becomes increasingly significant, there is a growing demand for professionals with combined expertise in AI and business. Anchored in the triad of mindful AI — business domain knowledge, technical understanding, and ethical awareness — the MS-AIB program at ASU aims to cultivate a highly skilled workforce proficient in thoughtfully applying AI across various industries and sectors.

STEM designation

Our record of excellence and impact attracts motivated, diverse scholars from all over the world: over 100 countries are represented in the W. P. Carey student body alone. As a STEM-designated program, eligible MS-AIB graduates on student visas have access to an Optional Practical Training (OPT) extension for up to 36 months. This longer work authorization term may help international students gain additional skills and experience in the U.S.

Career coaching

Experienced career coaches in the W. P. Carey Career Services Center will help you build critical skills and your personal brand, working with you every step of the way — and even after you graduate.

  • Consultations and guidance from dedicated career professionals
  • Library of on-demand content and resources to help advance your career
  • Continued access to career coaching and support for alumni
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Faculty in the W. P. Carey Department of Information Systems conduct impactful research that helps push the frontiers of business, incorporate advanced technology and knowledge in teaching, and seek meaningful engagement with students, corporate stakeholders, and society.