The TLU MBA Difference
- Ethical and Faith-Based: Like everything at TLU, we place an emphasis on faith-based values and ethical leadership.
- The TLU MBA aligns seamlessly with your career goals: Your degree will be customized based upon your chosen specialization, and your education will be personalized, with attention from your professors, small class sizes, and support from your classmates.
- One Year to Your MBA: You can complete our MBA program in as little as one year. Courses are seven or eight weeks long, with two starts per year. For those who would prefer a lighter courseload, there is also an option to complete the program over a two-year period.
- It’s Doable: We offer a flexible, fully online format geared to the schedules of working adults.
- NO GMAT score required with a 3.0 GPA or five years of professional work experience.
What is the AI Specialization?
For aspiring business leaders, an MBA with a specialization in Artificial Intelligence (AI) opens up a world of possibilities in fostering innovation, enhancing operational efficiency, and making data-driven decisions that transform organizations. This program equips students with a unique blend of technical expertise and strategic management skills, positioning them to thrive in the ever-changing AI landscape.
At the core of this program is the recognition that the sheer volume of existing data now exceeds human capacity to comprehend. AI has become a strategic imperative, empowering organizations to parse data into meaningful insights that inform complex decision-making.
By mastering AI technologies and their practical business applications, graduates will be poised to bridge the gap between technical teams and business stakeholders, ensuring successful AI adoption and implementation.
Is AI Right For You?
What makes this program special?
- Leadership and Ethics: Students develop the ability to lead AI initiatives strategically, focusing on identifying opportunities and managing ethical considerations to ensure the responsible use of AI in any industry.
- Online-First: This program is built to ensure that its online classes are not merely attempting to recreate the in-person experience, but truly leverage the strengths of online learning. Students can enjoy the flexibility of remote coursework and engage with students at other leading institutions, bolstering their professional networks for the future.
- Accessible AI Literacy: Students build a solid foundation in AI and low-code tools, enabling them to understand and manage AI projects without needing advanced coding skills. This program is inclusive of all backgrounds.
- Effective Communication: Students learn to bridge the gap between technical teams and non-technical stakeholders, translating complex AI concepts into actionable insights that drive informed decision-making and successful adoption of AI technologies.
Career Outcomes
AI/ML Consultant
$164,000 (With Experience)
An Artificial Intelligence/Machine Learning consultant advises businesses on how to integrate artificial intelligence and machine learning to improve efficiency, solve complex problems, and spark innovation. They assess organizational needs, recommend tailored AI/ML solutions, and guide the implementation to ensure effective results.
AI/ML Product Manager
$238,000 (With Experience)
An Artificial Intelligence/Machine Learning product manager oversees the development and deployment of AI-driven products, aligning them with business goals and user needs. They work closely with data scientists, engineers, and stakeholders to prioritize features, ensure product usability, and drive the strategic vision for AI/ML initiatives.
Chief Data Officer
$343,000 (With Experience)
A Chief AI Officer leads an organization’s AI vision and strategy, driving the adoption and integration of AI technologies to create competitive advantage. They oversee AI initiatives across departments, ensure alignment with business objectives, and foster a culture of innovation to maximize the value and ethical use of AI throughout the organization.
AI Strategy Manager
$246,000 (With Experience)
An AI/ML Strategy Manager defines and drives the overarching strategy for implementing AI and machine learning within an organization to meet business objectives. They identify high-impact opportunities, align AI initiatives with company goals, and work across teams to ensure seamless integration and long-term value from AI investments.
Who should take this program?
- Operational Leaders Professionals focused on streamlining business operations and efficiency will benefit from this programʼs AI tools and strategies for optimizing workflows and decision-making, without needing a technical background.
- Product and Service Innovators Those aiming to lead the development of AI-driven products or services can leverage this specialization to gain foundational AI knowledge and understand how to integrate AI solutions effectively into offerings.
- Strategic Decision-Makers Executives and managers who want to enhance data-driven decision-making can use the AI skills gained here to identify trends, anticipate business challenges, and drive impactful initiatives with advanced insights.
- Aspiring AI Advocates Individuals interested in the potential of AI to drive change within their industries will learn essential skills to become champions of AI adoption, focusing on ethical considerations, communication, and strategic alignment.
- Career Builders and Job Seekers With AI skills increasingly valued in the job market, recent graduates or professionals looking to advance in their careers can leverage this program to stand out, tapping into a significant wage premium and high demand for AI literacy across sectors.
- Non-Technical Professionals with an Interest in AI This program is designed for those who want to understand and apply AI concepts in a non-technical way, empowering them to lead AI projects, collaborate with technical teams, and foster innovation in their organizations.
| Program Details: | Program Costs: |
|---|---|
| 100% online | $705 per credit hour or $21,150 total |
| 30-credit hour program/10 courses total | $420 per year student services fee |
| 7- or 8-week courses | $210 per year technology fee |
| Certificate in chosen specialization | $400 enrollment deposit applied to tuition – no application fee |
| Half-day online orientation to meet others in the cohort | Books are not included in tuition and fees. |
| TLU alumni are eligible for a 10% tuition discount. | |
| TLU MBA business partners may be eligible for a tuition discount. Consult with program director |
Course Highlights
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. Youʼll also dive into ethical concerns and explore future trends, equipping you to lead with innovation and insight.
Just as you wouldnʼt apply a financial model to drive a marketing campaign, each business challenge calls for specific AI tools. In this course, youʼll learn to assess AI technologies, recognize the right business problems for AI solutions, and create effective implementation strategies. By the end, youʼll 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, youʼll 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, youʼll 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.
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