The fully online Advanced Certificate in Business Transformation with Artificial Intelligence at Siena University prepares business professionals, managers, and career changers to strategically and responsibly adopt AI within organizations.
This business-focused AI graduate program bridges the gap between complex technology and organizational value. Students learn to evaluate emerging technologies, identify high-impact automation opportunities, and lead enterprise-wide AI implementation without needing a computer science background.
why this program?
Artificial intelligence, Machine Learning (ML), and Generative AI are fundamentally altering operations across marketing, finance, human resources, supply chain, and customer service. Modern employers urgently need who understand both business strategy and machine learning capabilities.
This certificate specifically targets the needs of midsize companies and regional organizations. While many businesses are eager to implement workflow automation, they lack dedicated teams to manage data privacy, handle implementation risks, and establish AI governance. Siena University graduates fill this gap, driving productivity and technical change safely and ethically.
Siena’s program prepares students to become AI translators and integrators who can connect emerging technology with practical business needs. Graduates will be equipped to evaluate solutions, guide responsible adoption and create measurable value across industries while supporting the growing need for AI expertise in the regional workforce.
Build practical ai skills for business
WHAT YOU'LL LEARN
Evaluate AI technologies and opportunities: Assess current and emerging artificial intelligence tools, identify high-impact applications and determine where AI can create business value.
Assess readiness and design solutions: Evaluate whether an organization is prepared for AI adoption and design AI-enabled business solutions that align with its goals, resources and needs.
Lead responsible AI transformation: Guide AI-related organizational change, address governance, ethics and risk, and collaborate effectively with technical and analytics teams.
LEARN BY DOING
Build and test AI applications: Use real business data to build and evaluate predictive models and design and test generative AI applications.
Compare tools and analyze opportunities: Evaluate AI software platforms using structured frameworks and analyze organizational opportunities, challenges and readiness.
Develop solutions and assess implementation: Create AI-enabled solutions for real business problems while considering governance, ethics, risk and change-management implications.
FOUR-COURSE CURRICULUM
AI Strategies for Organizational Change: Explore organizational alignment, governance, ethics and the leadership required for successful AI transformation.
Data Mining and Predictive Analytics: Transform business data into insights, patterns and predictions that support stronger decision-making.
AI for Business: Develop a practical understanding of core artificial intelligence concepts, tools and technologies.
Applications of AI: Apply AI to real business workflows, organizational challenges and decision-making processes.
FACULTY SPOTLIGHT
Necip Doganaksoy: Director, Master of Science in Business Analytics (MSBA) program
My teaching philosophy centers on equipping students with practical, high-level Data Analytics (D&A) skills by grounding theoretical concepts in real-world applications and hands-on tool mastery (such as R, Tableau, and JMP). Rather than viewing analytics as mere data-crunching, I foster critical thinking by encouraging students to identify data biases, design robust studies, and carefully evaluate conclusions. To ensure an engaging and supportive learning environment, I incorporate iterative assignments that offer early feedback and opportunities for revision, ultimately preparing students with the adaptable, employer-ready expertise needed in today's job market.
Career Outcomes
Graduates will be prepared to:
Lead AI initiatives within functional business areas
Support organizational digital transformation efforts
Evaluate AI tools and vendors
Expand analytics and decision-making capabilities
Contribute to cross-functional AI implementation teams
Guide responsible AI adoption within organizations
Potential career pathways include:
AI Business Analyst
Digital Transformation Manager
Innovation Strategist
Technology Adoption Advisor
Functional Specialist with AI Expertise
Business Analytics Professional
Application Requirements
Brief personal essay indicating the reason you are pursuing your chosen graduate program and your intended long-term goals (submitted online with your application). Need some tips?
Include employment history, certificate or licenses held, volunteer/extracurricular activities, leadership roles, honors/awards and education history (submitted online with your application).
Official Transcripts are required from all post-secondary institutions which you have earned college credit. Unofficial copies may be uploaded for the purpose of application review, but official copies are required prior to enrollment.
Also, if you earned your undergraduate degree outside of the United States, an evaluated transcript is required by a recognized member of The National Association of Credential Evaluation Services (NACES.) Our preferred evaluators are World Education Services, Inc. or Educational Credential Evaluators, Inc.
Transcripts and evaluations should be emailed directly to our registrar at transcriptreceiving@siena.edu or mailed to the address below:
Siena University Registrar's Office 515 Loudon Road Loudonville, NY 12211
Official TOEFL, IELTS or DUOLINGO Test Scores are required from international students whose native language is not English. All English examination scores are considered valid up to two years after the testing date. Certificates of Instruction may be considered if English was the medium of instruction for undergraduate studies.