Master of Science in Artificial Intelligence in Business and Analytics
Integrating deep knowledge of business with extensive training in data management, machine learning, generative AI and data-driven decision-making. Learn to treat data and AI as core business assets and deploy them responsibly.
Program overview
The Master of Science in AI in Business and Analytics spans a broad range of business disciplines and equips students with the latest AI and analytics methods for transforming data into strategic intelligence. The curriculum develops the skills to deploy data and AI responsibly, turning raw information into actionable insights that drive operational efficiency, customer value, innovation and competitive advantage.
With a strong emphasis on hands-on application, students work directly with generative AI tools, analytics platforms and data governance frameworks across traditional business functions and emerging AI-enabled environments. The program requires 30 graduate credits: 21 core credits plus 9 concentration credits.
What You Will Study
Machine learning and generative AI
Apply supervised and unsupervised learning models to business problems. Work hands-on with generative AI tools to create practical solutions.
Data management and governance
Source, prepare and govern data from public and commercial sources. Learn to identify the right data for specific business and operational questions.
Predictive analytics and forecasting
Use predictive analytic techniques to enhance business decision-making. Build models that forecast trends and inform organizational strategy.
Business intelligence and visualization
Formulate business insights in clear, non-technical formats. Integrate analytical findings into visual reporting for decision-makers.
AI governance and ethics
Understand the regulatory, ethical and operational frameworks for responsible AI adoption in business.
Data strategy and leadership
Lead organizational data initiatives, manage analytics teams and translate business requirements into actionable data strategies.
Concentrations
Choose a concentration to shape your expertise in a high-demand area:
- General — a broad foundation across all analytics disciplines
- Global Supply Chain Analytics — appraise supply chain efficiency and develop decision-making metrics for supply chain management
- Marketing Analytics — develop and evaluate analytics algorithms for marketing strategy
- Hospitality and Service Analytics — evaluate hospitality and service opportunities using analytical tools
- Generative AI in Business — apply generative AI tools to business applications
Program Outcomes
When you graduate, you will be able to:
- Identify and prepare appropriate data sources for specific operational and research questions
- Develop testable research questions that address real business and organizational needs
- Implement predictive analytic techniques to enhance decision-making
- Present business insights in clear, non-technical written and visual formats
- Apply concentration-specific expertise to solve complex domain problems
Career Pathways
Saudi Arabia's National Strategy for Data and AI aims to position the Kingdom among the top 15 countries in AI by 2030. As the country invests in digital transformation across government, finance, healthcare and energy sectors, there is growing demand for senior professionals with advanced AI and analytics expertise. Graduates of this program will be well positioned to lead these critical initiatives and shape the future of AI in the region.
This program is part of the College of Business and Digital Innovation. View all programs.
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