MBA in Artificial Intelligence
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In this concentration, you’ll learn how to use AI to solve complex business problems, drive innovation and lead in a rapidly changing marketplace. From strategic decision-making and process automation to customer experiences and new product development, AI is transforming every industry.
You’ll apply AI tools and frameworks to real-world challenges during your capstone project and as you take courses in AI fundamentals, innovation and business applications. You’ll acquire the skills to stay competitive in the age of AI, whether you want to stand out in finance, health care, retail, marketing, consulting or technology.
Artificial Intelligence Elective Courses
This course covers the essential elements and model areas of Artificial Intelligence and the application of AI in business.
This course equips students with the ability to use AI and ML principles and algorithms, which they have learned in previous semesters, to solve a business challenge or problem of their choice. The chosen topic or problem must be approved by the instructor. This course specifically equips students with the requisite technical expertise and tools, including no code or low code solutions, to effectively address a business challenge in a data-driven way.
The impact of AI on innovation is not just in its technological advancements but also in its ability to reshape industries, economies, and societal norms, underscoring the importance of navigating its development and application responsibly. AI is contributing to the creation of entirely new categories of products and services, such as autonomous vehicles, smart home devices, and personalized content recommendations, enhancing consumer experiences and creating new markets. However, the integration of AI into innovation processes also presents challenges, including ethical considerations, the potential for job displacement, and the need for regulatory frameworks. As AI becomes increasingly sophisticated, ensuring that innovation remains human-centered and benefits society as a whole is crucial.
Foundational principles making computers learn, plan, and solve problems autonomously; and driving modern intelligent agents on real-world applications for contemporary problems, such as deep learning, data flows, and autonomous driving.