Students who successfully complete all four courses in this program receive an Advanced Certificate in Data and Analytics from Siena's AACSB-accredited School of Business.
Data analytics is among today’s fastest-growing and highest-paid professions. As organizations increasingly rely on data to drive strategic business decisions, the market demand for individuals possessing advanced education in the field is at an all-time high.
The Data Analytics Advanced Certificate program is open to anyone with a bachelor's degree and at least one college level statistics course. The opportunity to work with cutting-edge software and analytics tools will prepare you to make sound, evidence-based decisions that drive business performance in any function.
Students who successfully complete all four courses in this certificate program receive an advanced Data Analytics Certificate from Siena's AACSB accredited School of Business.
why earn a data and analytics certificate?
Organizations need professionals who can move beyond data collection and actually use information to guide decisions. Employers are looking for individuals who can analyze trends, identify patterns, and translate data into meaningful business insights.
An advanced certificate offers a focused way to build these skills without the time commitment of a full degree program. It is a strong option for individuals looking to strengthen their technical abilities, expand their role, or add analytics expertise to a business background.
what you'll learn
Required Courses
Business Intelligence and Information Systems: Learn how organizations collect, manage, and use data to support decision-making. Students gain hands-on experience with data querying, database management, and reporting while working with large, complex datasets.
Quantitative Methods for Data-Driven Decision Making: Go beyond basic statistics and learn how to turn data into confident decisions. Students work with real datasets and tools to uncover trends, test ideas, and apply methods like regression and probability to solve real business problems.
Choose 2 Courses
Data Visualization and Predictive Analytics: Work with real datasets to uncover patterns, build predictions, and bring data to life through clear, impactful visualizations.
Data Mining and Predictive Analytics: Explore large datasets to uncover hidden patterns and trends using techniques like clustering, regression, and forecasting.
Decision Modeling and Analytics: Use optimization and simulation tools to model real business decisions and test outcomes before they happen.
Artificial Intelligence for Business: Get hands-on with AI tools like chatbots and generative platforms to solve problems and explore how AI is used across business functions.
why siena for data and analytics?
At Siena, data and analytics are taught within an AACSB-accredited School of Business, where technical skills are paired with real business application. Fewer than 6% of business schools worldwide earn AACSB accreditation, reflecting strong academic quality and a focus on career-relevant learning.
Faculty bring experience from industries such as manufacturing, marketing, research and development, and financial services, giving students exposure to how analytics is used across different fields.
The program’s smaller class environment allows for more direct interaction with faculty, hands-on use of tools, and applied learning through real datasets and business scenarios.
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.
The sheer amount of data is so large that being able to mine the right data for a business is a skill itself. Knowing that, you could save your employer time, resources and money.
DATA CAN SERIOUSLY AFFECT THE FUTURE
Data is used to make decisions on advertising, hiring, marketing, pricing, product development and so much more. It can change the way a company operates, how a not-for-profit stands the test of time or how the world thinks about big issues like hunger or poverty. The applications are endless.
EMPLOYERS KNOW THE VALUE THAT LIES WITHIN
Nearly 70% of CFOs surveyed rank data-based insights as the top influence on strategic business decisions. It's no wonder why IBM predicts that by 2020 the number of jobs for all U.S. data professionals will increase to 2,720,000.
