Coming Fall 2026: The MSDA-AI program combines advanced analytics with applied artificial intelligence, preparing graduates to lead in data-driven environments. With two specialized tracks – Data Science & AI and Business Analytics – students gain technical depth and strategic insight in a STEM-certified program, with an emphasis on responsible and ethical AI implementation.
Hybrid MS in Data Analytics and Artificial Intelligence (MSDA-AI)
The Hybrid Master of Science in Data Analytics and Artificial Intelligence (MSDA-AI) at Rockhurst University prepares professionals in Kansas City and across the Midwest to lead data-driven and AI-enabled organizations. Built on Rockhurst’s AACSB-accredited analytics foundation, the program integrates advanced data analytics, machine learning, and applied artificial intelligence to meet the evolving demands of modern business and technology.
How the Program Works
This flexible hybrid program is designed for working professionals. Students complete coursework online while participating in immersive, in-person learning experiences on Rockhurst’s Kansas City campus. The format supports career advancement in data science, business analytics, and AI leadership without putting your career on hold.
MSDA-AI Specialization Options
- Data Science & AI Track – A technically focused pathway emphasizing programming, predictive modeling, big data, and AI system development. Students gain hands-on experience with machine learning, natural language processing, and MLOps to design and deploy intelligent solutions.
- Business Analytics Track – A strategically focused pathway for professionals applying analytics and AI in business environments. Coursework emphasizes data visualization, performance metrics, AI-driven decision-making, and data strategy grounded in ethical leadership.
Modern Technology. Ethical Leadership in Kansas City.
Rooted in Rockhurst University’s Jesuit tradition of ethical leadership, the MSDA-AI program places responsible AI and data stewardship at the center of analytics education. Students examine how data and artificial intelligence shape decision-making, organizations and communities—developing the judgment and accountability needed to lead technology initiatives with purpose, transparency and care for human impact.
Ethical considerations are integrated throughout the curriculum rather than isolated in a single course. Across both tracks, students engage with responsible AI practices such as data governance, bias mitigation, model transparency and human-centered design. Graduates are prepared to balance technical excellence with integrity, ensuring analytics and AI solutions advance organizational goals while promoting trust, fairness and the common good in Kansas City and beyond.
MSDA-AI Fast Facts & Learning Outcomes
Fast Facts:
- Tuition – $835/credit hour plus fees
- Curriculum – 33 credit hours (core classes + electives)
- Duration – 1.5 - 2 years
- Concentrations (2) – Data Science & AI, Business Analytics
- Format – Hybrid
- Accreditation – Higher Learning Commission and AACSB
MSDA-AI graduates will be able to:
- Propose data-informed strategies using analytics and AI tools.
- Evaluate ethical implications of data and AI use.
- Identify business challenges and recommend actionable solutions.
- Apply advanced analytics and AI methods to extract insights.
- Communicate and visualize data effectively for diverse audiences.
Hybrid MSDA-AI Program Outcomes
After completing the M.S. in Data Analytics and AI, graduates are prepared to:
- Lead data-driven initiatives that integrate advanced analytics and AI applications across business functions.
- Design and implement predictive models and AI solutions to solve complex organizational challenges.
- Apply ethical frameworks to ensure responsible use of data and AI technologies.
- Communicate insights effectively to technical and non-technical stakeholders, supporting strategic decision-making.
- Manage projects and teams in analytics and AI environments, leveraging leadership and organizational change principles.
Data Science and Artificial Intelligence Careers and Salaries
Growing Careers in AI and Data Science
Advance into high-demand roles, including Data Scientist, Machine Learning Engineer, AI Product Manager, Analytics Consultant, and Business Intelligence Specialist. New careers in the industry are being created every day across the region and the country.
Kansas City Tech Growth
The region’s tech sector has grown 16% since 2021, driven by analytics, AI, automation, and cloud computing.
Projected Job Growth
Kansas City is expected to add 110,000 new tech jobs, with AI and advanced analytics leading the demand.
Data and AI Job Salary Potential
- Data Scientist: Median salary $112,590 with 34% projected job growth (2024–2034).
- Machine Learning Engineer: Median salary $161,800.
- AI Product Manager: Median salary $131,817; top earners exceed $197,000.
MSDA-AI Curriculum & Classes
- Technology Practicum provides hands-on experience through internships, applied research, or independent data analytics and AI projects.
- STEM-designated program supporting OPT extension eligibility for qualified international students.
Explore the options below for a detailed look at the Rockhurst MSDA-AI curriculum, tracks and course requirements.
Additional Options for your Career Goals
MBA/MBSDA-AI Dual Degree
The MBA/MSDA-AI dual degree equips professionals to lead organizations through digital transformation. Students develop leadership and decision-making skills while mastering analytics and AI tools that drive innovation. This integrated program offers a competitive advantage for professionals seeking roles in executive management, data strategy, and technology leadership. More information coming soon.
AI & Tech Strategy and Leadership Graduate Certificate
The AI & Tech Strategy and Leadership certificate prepares professionals to lead AI initiatives responsibly. Courses focus on strategic decision-making, ethical considerations, and organizational change management in technology-driven environments. Ideal for managers and executives seeking to integrate AI into business operations. More information coming soon.
Business Intelligence Graduate Certificate
The Business Intelligence certificate is for professionals seeking a deeper understanding of analytics and technologies used to guide business decisions, including Tableau and Google Analytics. Focusing on the bridge between analytics and business knowledge, students are introduced to data analytics tools and techniques, and study their implementation and usage.
Data Science & AI Graduate Certificate
The Data Science & AI certificate provides hands-on experience with predictive modeling, big data analytics, and applied AI techniques. Designed for data professionals and technical specialists, this program equips participants with practical skills to build and deploy intelligent systems. More information coming soon.
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