Fall - April 25
Spring - November 25
The College of Staten Island offers a certificate program in Business Analytics of Large-Scale Data. Designed for a broad spectrum of students with undergraduate degrees in business and related fields, it is focused on addressing the need for skilled analytical researchers with experience in large-scale databases.
"Companies cannot hire fast enough. Glassdoor, an employment site, lists more than 7,300 openings for software engineers, ahead of job openings for nurses, who are chronically in short supply. For the smaller category of data scientists, there are more than 1,200 job openings. Demand is highest in San Francisco. Nationally, the average base salary for software engineers is $100,000, and $112,000 for data scientists.” Referenced from this NYTimes article.
The certificate consists of five three-credit courses (for a total of 15 credits to complete the degree), including two focusing on large-scale data analytical techniques and one devoted to forecasting. The first large-scale data analysis course introduces students to the supercomputing environment; the second course builds on the first by incorporating additional analytical techniques and spatial analysis. After students complete Forecasting for Managers and Researchers (third course), the research-based fourth course provides them with the opportunity to pursue independent research in their discipline using large-scale data; specializations in marketing, finance, data security, and other options will be available. Finally, the fifth course is a current topics seminar incorporating timely industry cases and guest speakers. Students have flexibility in terms of taking the topics seminar.
The School of Business at the College of Staten Island has the breadth and depth of faculty expertise in data analysis and forecasting to develop this program. The existing faculty members representing Finance, Economics and Information Management have the skills and background in industry forecasting and statistical modeling to develop and teach these courses. Our faculty members already participate in the research at the CUNY High Performance Computing Center and have in-depth knowledge of advanced computational methods. We also currently support doctoral students who have a research focus on advanced computational methods.