Graduate Catalog 2014-2015
School of Business, Building 3N, Room 235
Interim Founding Dean, Susan Holak, BS, MPhil, PhD
Program Coordinator: Professor Jonathan Peters
Building 3N, Room 207
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 researches with experience in large-scale databases.
The certificate consists of five courses, 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.
Expected Prior Knowledge and Experience
Prior to enrollment, students are expected to be familiar with computation methods using programming techniques of a high-level computing language (e.g., SAS, Matlab R). In addition, undergraduate preparation in statistics, analytical methods and calculus is required. Finally, students are also expected to have an understanding of economics at the principles level and to have a minimum of a 3.0 overall undergraduate grade point average.
Pre-Certificate Preparation and Preparation Course
Before enrollment in the certificate program, an assessment test in statistical methods will be administered in order to determine preparation for the program. Students with insufficient knowledge in programming and statistical methods can prepare to participate in the Large-Scale Data Certificate Program by completing BDA 651.
Continuation Requirements and Award of Certificate
Each student must maintain an average of 3.0 in the four core courses in order to be awarded the Certificate. Students who drop below a 3.0 average may continue in the Program but may not be awarded the Certificate. No grade in an individual course may be below 2.0 for the Certificate to be awarded. If a student earns a grade below 3.0 (and above 2.0) in one of the four core courses, s/he will be encouraged to retake the course in order to meet the minimum grade average 3.0.
Each student must conduct him/herself in an ethical manner both professionally and personally. Serious breaches in ethics or professionalism will result in expulsion from the Program and a denial of being awarded the Certificate.
Big Data Management in Supercomputing Environment
Analysis Techniques for Large-Scale Data - Spatial and Statistical Techniques
Forecasting for Managers and Researchers
Research Project in Large-Scale Data
Seminar in Big Data - Current Topics