AI Strategy

MBA Specialization

Learn AI Strategy. Apply It. Build It. Lead It.

Artificial intelligence is transforming how organizations operate, compete, and create value. The AI Strategy MBA specialization at Barry University prepares business professionals to understand these changes and, more importantly, learn how to put AI to work in real organizations.

The specialization takes a practical approach to AI strategy. Students learn to identify business opportunities, assess organizational readiness, evaluate AI capabilities, rethink processes, and develop strategies for responsible AI adoption and implementation.

Students explore generative AI, automation, AI agents, data strategy, governance, and emerging technologies through a business and leadership lens. The focus is not on becoming an AI engineer, but on developing the judgment and capabilities needed to make informed decisions and lead AI initiatives.

Learn by Doing

AI strategy cannot be learned through theory alone.

Students apply what they learn to real business challenges, from understanding organizational needs and identifying opportunities to designing solutions, experimenting with AI tools, developing prototypes, and planning implementation.

Through Barry University’s AI Center and DX Lab, students also have opportunities to work with businesses, nonprofits, startups, and community organizations on consulting projects, digital transformation initiatives, workshops, hackathons, research, and prototyping.

Learn AI → Apply AI → Build AI → Lead AI

The goal is to move beyond understanding what AI can do and develop the ability to determine where it creates value and how to put it into practice.

What You Will Learn

Students develop practical capabilities to:

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Identify business opportunities where AI can create meaningful value

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Develop AI strategies aligned with organizational objectives

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Assess readiness across people, processes, data, technology, and governance

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Apply generative AI and emerging technologies to business challenges

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Identify opportunities for automation and AI agents

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Redesign workflows, processes, and customer experiences

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Evaluate whether to build, buy, automate, integrate, or redesign

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Address AI governance, privacy, security, ethics, and responsible adoption

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Develop implementation plans and business cases

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Lead AI and digital transformation initiatives

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Define outcomes and measure business impact

From the Classroom to Real Business Challenges

Students have opportunities to extend their learning through Barry University’s AI Center and DX Lab, where education, experimentation, and business engagement come together.

Rather than working only with hypothetical cases, students gain exposure to real organizational challenges. They may research industries, analyze business processes, identify AI opportunities, develop strategies, prototype solutions, or present recommendations to business leaders.

These experiences help students build the strategic thinking, communication skills, and practical judgment needed to lead AI initiatives.

AI Strategy in Practice

Real students. Real organizations. Real business challenges.

Explore how students apply AI strategy, digital transformation, and business innovation through projects with industry and community partners.

Alexandra Parra

WRG Restoration

Competitive Analysis & Brand Positioning

WRG Restoration is a Miami-based company specializing in water damage restoration and property recovery services.

Alexandra conducted competitive research and analyzed the company’s market positioning to support its digital strategy. Her work helped identify opportunities for differentiation, strengthen brand positioning, and guide recommendations for improving the company’s digital presence.

Britney Mapang

Nurturio

Product Strategy & Digital Innovation

Nurturio is an emerging digital platform designed to connect parents, schools, and therapists, helping families access and coordinate educational and therapeutic support.

Britney worked with the startup to clarify its business concept, refine its value proposition, and design a product prototype. She also contributed to go-to-market planning, helping translate an early-stage idea into a clearer product vision and market approach.

Milosz Mencel

TBench Solutions

Market Validation & Digital Growth Strategy

TBench Solutions is a Hamburg, Germany-based engineering and technology consulting firm specializing in technical solutions and product development.

Milosz developed a targeted digital marketing strategy focused on specific customer segments, audience research, messaging experiments, and content development. His recommendations aimed to strengthen market visibility, communicate the company’s technical expertise, and improve engagement with prospective customers.

Tania Mares

EbienLabs

AI-Assisted Lead Generation & Marketing Strategy

EbienLabs is a B2B clinical medical laboratory providing white-label laboratory testing panels to healthcare providers.

Tania contributed to a DX Lab initiative to develop a more systematic, AI-assisted lead generation process. The project includes market research, prospect identification, lead enrichment and scoring, and automated outreach workflows using tools such as Clay and Monday CRM, helping the company build a more scalable approach to business development.

Courses include:

  • Ai

    AI Strategy

    Learn to evaluate AI from a business and leadership perspective. Explore AI capabilities, business opportunities, organizational readiness, data strategy, responsible AI, governance, automation, AI agents, and the strategic decisions required for successful adoption.

  • Tech Lines

    AI Project Implementation

    Move from strategy to execution by planning and implementing an AI initiative around a real-world business challenge. Explore solution design, data requirements, workflows, implementation, adoption, governance, and measuring business value.

  • Ai Head

    Technology Project Management

    Develop the leadership and project management capabilities required to manage technology and digital transformation initiatives. Learn to coordinate teams, manage stakeholders, address implementation challenges, and move initiatives from planning to execution.

Meet the Professor

Tarik Safouan
Senior Director of Innovation & Technology Education | AI Strategy MBA Specialization

Tarik Safouan is an AI strategist, educator, and co-author of Practical AI Strategy (2026), bringing more than 20 years of experience in digital transformation and technology leadership across organizations including Gannett/USA Today, F1, Sitel, Sears, Autotrader, and the Miami Dolphins.

At Barry University, he leads the AI Center and its labs, including the DX Lab and AI Startup Lab, connecting classroom learning with industry projects, entrepreneurship, and experiential education. A Harvard University master's graduate pursuing a PhD in Curriculum and Instruction, he is also an Approved Claude Trainer and Gemini Certified Trainer.

His teaching emphasizes learning by doing, helping students move beyond AI concepts to develop practical strategies, build solutions, and lead real-world initiatives.

Prepare to Lead AI in Practice

Organizations need professionals who can connect AI capabilities with business needs.

The AI Strategy specialization prepares students to contribute to AI strategy, digital transformation, innovation, consulting, technology management, operations, product strategy, and AI adoption initiatives.

Students develop a practical understanding of how to identify opportunities, build strategies, test ideas, manage implementation, and measure results.

Through classroom learning and experiential opportunities, they strengthen the ability to communicate with business and technical stakeholders, evaluate priorities, and lead initiatives that create meaningful organizational value.

Don’t Just Learn AI Strategy. Practice It.

Build the strategic thinking, practical experience, and leadership capabilities needed to help organizations navigate an AI-driven future.

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