Master in AI and Data Analytics (MAIDA)
Riverside, United States
Introduction
Advance your career in the AI era
The Master in AI and Data Analytics (MAIDA) program at Riverside State University equips you with essential business analytics skills, deep expertise in data analysis, and the communication prowess to influence decision-makers and drive organizational change.
By combining modern data analytics with artificial intelligence, participants learn to uncover deeper insights, streamline complex analyses, and accelerate decisions that yield outstanding business results. This expertise is vital for roles such as Data Analyst, Strategy Analyst, Business Intelligence Lead, Head of Analytics, and AI Specialist.
What You Will Learn
Our program moves beyond the basics, teaching you to discover, analyze, and interpret a wide range of data types using machine learning and predictive modeling.
- Mastering AI-Enabled Analytics — gain hands-on experience with modern AI tools and techniques to automate data processes, uncover patterns, and enhance decision-making.
- Solving Real-World Business Problems — learn sophisticated methods including machine learning, predictive modeling, and ethical AI to address modern organizational challenges effectively.
- Driving Strategic Impact — develop the leadership skills to translate raw analytics into clear, actionable strategies that influence stakeholders and drive sustainable business growth.
Program Structure
The Master in AI and Data Analytics spans 6 terms over 18 months. The journey kicks off with a pre-program boot camp in mathematics and coding to ensure all students hit the ground running in Term 1.
- • Fundamentals of Programming and AI Coding
- • Foundations of AI and Data Analytics
- • Innovation Management with Design Thinking
- • The Language of Business and Sustainability
- • Business Statistics for Decision-Making
- • Data Visualization and Storytelling in BI
- • Economic Analysis and Strategy Formulation
- • Financial Management
- • Artificial Intelligence for Data Analytics I
- • Artificial Intelligence for Data Analytics II
- • AI Applications and Emerging Technologies
- • Marketing Insights and Analytics
- • Data Strategy, Governance, and Ethical AI
- • Responsible Human Capital Management
- • Capstone Project 1
- • Elective 1
- • Operations Management
- • Capstone Project 2
- • Elective 2
Sample electives: Natural Language Processing for Data Analytics, Applied Time Series and Forecasting, Machine Learning Operations, Geospatial Analysis, and Innovating with AI.
Program Format & Schedule
Designed to accommodate the busy schedules of working professionals.
Admission Requirements
- A Bachelor's degree (or equivalent qualification) in any discipline from an accredited institution.
- A minimum of two (2) years of professional work experience.
- Demonstrated proficiency in spoken and written English.
- Submission of current resume, transcripts, and a brief statement of purpose.
Program Learning Goals
We ensure our curriculum remains highly challenging and aligned with the rapidly evolving business landscape. By graduation, RSU students will be able to:
- Create Business Value — strategically apply AI and data analytics to drive innovation and competitive advantage.
- Champion Ethical Leadership — leverage emerging technologies to support decision-making, sound governance, and ethical AI practices.
- Lead Strategic Transformation — become an effective communicator and cross-functional leader who can guide organizations through complex AI-enabled transformations.
Ready to transform insights into action?
Take the next step in your professional journey with Riverside State University.