What is a Master of Business Administration: Artificial Intelligence (AI) Concentration degree?
The Master of Business Administration: AI Concentration at University of Redlands is designed to prepare you to lead in a business world shaped by AI. You'll learn how to apply AI tools to solve business challenges, improve decision-making, drive innovation, and create value across an organization. This MBA concentration gives you the business, technical, and ethical foundation to navigate an AI-driven economy as a business leader. You'll build the skills to understand AI's potential, manage its risks, and guide responsible AI adoption across teams and organizations.
Why earn this degree at Redlands?
At Redlands, you will build practical AI leadership skills within an MBA program designed for working professionals. You will learn how to connect emerging AI tools with real business needs, manage responsible adoption, and communicate clearly across technical and nontechnical teams.
With this concentration, you will:
- Build AI literacy without needing an advanced coding background
- Gain hands-on experience with generative AI tools and business use cases
- Learn how to manage AI projects from planning through implementation
- Explore AI governance, ethics, privacy, bias, compliance, and risk
- Develop future-ready skills for emerging business roles shaped by AI
With online and in-person options in Redlands and Los Angeles, you can choose a path that fits your schedule while building skills you can apply in your work right away.
Required coursework
In addition to the core and foundational MBA coursework, students completing the MBA with a concentration in artificial intelligence will need to complete three elective courses from the following list. Concentration courses may rotate based on timeliness, thought leadership, and student appeal.
Generative AI is transforming business productivity, making it essential for managers to adapt or risk falling behind competitors who leverage its power. This course prepares students to make a real impact in any field with GenAI, teaching practical skills like prompt engineering, AI workflow integration, and solution development. You'll also dive into ethical concerns and explore future trends, equipping you to lead with innovation and insight.
Just as you wouldn't apply a financial model to drive a marketing campaign, each business challenge calls for specific AI tools. In this course, you'll learn to assess AI technologies, recognize the right business problems for AI solutions, and create effective implementation strategies. By the end, you'll be equipped to tackle key challenges and design impactful AI-driven solutions.
AI brings transformative possibilities but also raises critical ethical challenges, from data privacy and bias to transparency and the role of human oversight. Navigating AI governance is crucial for any manager looking to implement this technology responsibly. In this course, you'll learn to develop ethical AI policies, manage AI-related risks, and effectively communicate governance standards to stakeholders.
AI projects enable businesses to forecast trends and optimize operations, providing insights into not only past events but also future actions. By the end of this course, you'll be equipped to create real financial and operational impact by managing the full AI project lifecycle—from crafting project plans and handling data to ensuring smooth deployment and reporting outcomes to stakeholders.
Priority 1 Deadline: January 15
Priority 2 Deadline: June 1
Priority 1 Deadline: October 1
Priority 2 Deadline: December 1
Priority 1 Deadline: February 1
Priority 2 Deadline: April 1
What you'll learn
You'll learn how to identify opportunities for AI across business functions and choose tools that can improve decision-making, efficiency, and innovation.
You'll gain hands-on experience with generative AI tools, prompt engineering, workflow integration, and AI-enabled solutions that support business performance.
You'll explore AI governance, ethics, privacy, bias, compliance, and risk management to help organizations use AI responsibly and build trust.
You'll learn how to manage AI initiatives from planning through deployment, align projects with business goals, and communicate clearly across business and technical teams.
What you'll learn
Graduates pursue careers as
Graduates pursue careers as
Lead AI initiatives that align with business goals, identify opportunities for innovation, and help organizations use AI in strategic and responsible ways.
Use data, AI tools, and business insight to improve decision-making, evaluate performance, and support innovation across departments and organizations.
Guide the development of AI-enabled products from concept to launch by connecting customer needs, business goals, and technical requirements.
Advise organizations on how to apply AI tools, improve operations, solve business challenges, and guide implementation across teams.
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