MBA in Artificial Intelligence

Dr. Risto Miikkulainen is a professor of computer science at the University of Texas at Austin and VP of AI research at Cognizant Advanced AI Labs. He received a master's degree in engineering from the Helsinki University of Technology (now Aalto University) in 1986 and a doctorate in computer science from UCLA. His current research focuses on methods and applications of neuroevolution as well as neural network models of natural language processing and vision. He has published hundreds of important works for AI and was selected by the Association for the Advancement of Artificial Intelligence (AAAI) as one of just 11 fellows -- a very prestigious fellowship -- for 2023.

• Interactive case studies at the intersection of AI and business.
• Hands-on experience with prompt engineering and generative AI tools.
• Evaluation of real-world AI tools and software (e.g., "Your company has X business problem. You're researching AI tools that are currently on the market with Y and Z capabilities. Which, if any, software should your company invest in?"), which will be updated frequently.
• Culminating final projects that allow students to clearly demonstrate their knowledge of AI and their abilities to lead and liaise between the technical and business worlds.

1. Drive business innovation, efficiency, and ethical decision-making by leveraging an understanding of AI technologies.
2. Critically assess the limitations and capabilities of AI technologies to make sure AI-driven business solutions align with organizational objectives.
3. Ensure responsible and compliant AI implementation in business setting by applying governance frameworks and ethical guidelines to AI projects.
4. Communicate AI concepts and solutions effectively to diverse stakeholders.
5. Assess career opportunities and key sectors relevant to AI.
6. Manage the complete lifecycle of machine learning projects, ensuring successful implementation and alignment with business objectives.

GSM programs are accredited by AACSB, the most prestigious and demanding level of accreditation for business schools. This level of accreditation directly supports students because the AACSB assesses student learning. Students' actual assignments are used to document the extent that students master MBA learning outcomes, and continuous improvement occurs for programs and courses.

Why the MBA Major in AI?

Strategic and Managerial Focus: SXU's AI MBA major teaches MBA students to bridge the gap between technical teams and business stakeholders, ensuring successful AI adoption and implementation.

Accessibility and Impact: SXU's asynchronous three-course AI specialization is designed to be low-code and accessible, giving students literacy in the technical subjects they'll need to successfully manage AI projects. AI is a diverse field with impact across almost every industry. While those who code and develop AI models obviously play a huge role, it is equally important to have leaders who can ethically select, scope, manage, and maintain AI projects, identify opportunities for AI in various sectors, and take on the herculean task of keeping updated on this field, which is literally changing by the day (almost a full-time job in itself). SXU's MBA AI specialization prepares graduates to be those leaders.

Cutting Through The Hype: Foundational technical literacy equips graduates with the skills to critically evaluate technical solutions. They can identify when something isn't working as expected and ask the right questions or detect inaccuracies or inefficiencies in data analysis, ensuring high standards of accuracy and reliability.

Future-Proof Skills: When we look to the future, as AI continues to evolve, it's not far-fetched to envision AI coding itself. Future-proof skills in problem-solving, technical literacy, and strategic management will ensure graduates can adapt and thrive in changing environments.

SXU's accelerated BBA+MBA Dual Degree program combines a four-year Bachelor of Business Administration and a two-year Master of Business Administration into a five-year program. Students complete 120 credit hours of undergraduate coursework and 30 credit hours of graduate coursework to fulfill the dual BBA+MBA degree. Students may take up to 12 credit hours of MBA coursework concurrent with their undergraduate coursework during their senior year.

Students are encouraged to apply to the 4+1 program in their junior year. Upon acceptance, students may register for courses at the graduate level with permission from the director of the Graham School of Management and the director of the MBA program. The BBA degree is awarded after successful completion of all undergraduate requirements. The MBA degree is awarded upon successful completion of the graduate requirements.

For more information, please contact the GSM director at ghoshFREESXU.