>> Full-time MBA future students
Artificial Intelligence concentration
Unlock unprecedented opportunities in today's data-driven business world by specializing in artificial intelligence (AI); through the W. P. Carey Full-time MBA, you’ll be equipped with cutting-edge knowledge in business intelligence and AI applications, empowering you to innovate, optimize, and lead in any industry.
Position yourself at the forefront of a rapidly evolving business landscape. With a concentration in AI, you'll harness data-driven insights, optimize decision-making processes, and innovate business models. In addition to integrating AI into business strategies, managing AI-related infrastructure, and understanding the ethical and societal implications of AI adoption. The curriculum provides a holistic approach to leveraging technology for competitive advantage and business transformation.
Required courses
CIS 565 AI and Business
Explores modern artificial intelligence (AI) technology, applications, techniques, and their implications for business. People, process, and technology factors related to the innovation and adoption of AI in the commercial enterprise and how it shapes the competition and society in the future. Also covers implications for information systems professionals as it pertains to managing the AI infrastructure (robots, algorithms, platforms).
CIS 591 Python for Data Analysis
Provides a foundation in programming fundamentals, the skills to combine and manipulate structured and unstructured data, and the ability to summarize, visualize, and draw insights from the data. This course may be waived with demonstrated Python proficiency.
CIS 508 Machine Learning in Business
Charting a roadmap for data-driven decision making and getting a practical understanding of how IT tools and techniques can allow managers to extract predictive analytics and patterns from primarily numeric data.
CIS 541 Business Data Visualization
The design of insightful business data visualizations and dashboards to improve business decision making. Key focus on data visualization design principles incorporating graphical integrity. Applies advanced data visualization techniques to make sense of large data sets such as temporal, geospatial, topical, and business data while also making it easier to digest, present and utilize for business needs and users.
Career paths
- Business transformation
- Managing AI projects
- Impact analysis
- Consulting
- AI project strategy
- Predictive modeling and forecasting
- Data analysis and decision-making
- Customer experience optimization
- Process optimization and automation
- Research and competitive intelligence
- Business strategy development
- Technology implementation