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 four-course Data & Analytics Advanced Certificate program at Siena College’s AACSB-accredited School of Business gives you the critical skills and hands-on expertise to advance in your current role—or pivot into another lucrative career.
In addition to Quantitative Methods for Data-Driven Decision Making, other courses to choose from include:
Click on each course to learn more.
This course is designed to teach students and mid-level security practitioners how to engage all functional levels within the enterprise to deliver information system security. The course addresses a range of topics, including ‘inter alia’ plans and policies, enterprise roles, security metrics, risk management, standards and regulations, physical security and business continuity.
This is an applied course on current technologies used for predictive analytics with an emphasis on applications in business. The course is based on case studies that incorporate typical challenges encountered in applications: Large transactional data sets with mixed types of variables (e.g., qualitative and quantitative), missing data, lurking variables, confounded predictors and uncontrolled variation. The emphasis of the course is on effective use of the methods, interpretation of results, and recognition of potential pitfalls in their use. The role of effective data visualization is emphasized throughout the course
This course helps professionals understand the role of model-based decision-making in business and identify areas suited for it. Students will learn to translate business problems into mathematical and spreadsheet models to improve decision-making. The course focuses on optimization models and simulations, with applications in finance, marketing, accounting, and operations. Topics may include Linear and Integer Programming, Monte Carlo Simulation, Multi-Period Linear Programming, and Discrete Event Simulation.
This course is designed to help the professional explore, select and model large quantities of data to uncover novel patterns and new insight into mature business processes. Students will learn when and how to use various mining techniques from large datasets chosen from the accounting, finance and marketing areas. Topics may include forecasting, clustering, nearest neighborhood classification and regression, principal component analyses and factor analyses. Topics are expected to change as the discipline continues to redefine itself.
We provide graduate students with mentorship and coaching, career services and professional development opportunities. Even if you plan to stay in your current role, we’ll help you understand how you can immediately apply your new skills.
Right away, you’ll have access to Siena’s incredibly loyal alumni network in the Capital Region and across the globe. You’ll also have professors who are deeply connected to companies in the area.
You’ll learn through simulations and interactive research, collaborate on projects side-by-side with Siena’s workforce partners and get to use the latest tools and technology.
Our School of Business has AACSB accreditation, the “gold standard” given to less than 5% of business schools worldwide
Siena has been named the #1 college in New York for job placement