Graduate Catalog 2019-2020

Business Analytics of Large-Scale Data, Advanced Certificate

School of Business, Building 3N, Room 219

Founding Dean, Susan Holak, BS, MPhil, PhD

Program Coordinator: 

Professor Hyoung-Suk Shim

Building 3N, Room 224A

Telephone: 718.982.3309


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.

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.

Admission Requirements

  1. An applicant must have completed a bachelor's degree in Business, Economics, or a related field, or be a current student in a graduate degree program (e.g., Environmental Science, Biology, Computer Science or other related fields). Additional coursework may be required to make up for any deficiencies in background, as will be determined by an admissions committee for the program. (The admissions committee comprises faculty members from the School of Business).
  2. An applicant must have earned a bachelor's degree with a grade-point average of at least 3.0 in the undergraduate major and a minimum overall grade-point average of 3.0.
  3. Two letters of recommendation.
  4. Current résumé detailing all relevant past and present professional employment, experience, memberships, and related service.
  5. A cover letter describing the applicant’s relevant experience as well as the reason and motivation for applying for the Graduate Certificate.
  6. The Test of English as a Foreign Langauge (TOEFL) or the International English Language Testing System (IELTS) exam is a requirement of students for whom English is a second language. The minimum score required for TOEFL is 79 (Internet). The minimum score of teh IELTS exam is 6.5 (overall band).

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.

Business Analytics of Large-Scale Data Certificate Requirements

BDA 761Big Data Management in a Supercomputing Environment


BDA 762Analysis Techniques for Large-Scale Data-Spatial Statistical Techniques


BDA 763Forecasting for Managers and Researchers


BDA 764Research Project in Large-Scale Data



BDA 765Seminar in Big Data - Current Topics



CSC 735Machine Learning and Data Mining


Total Credit Hours: 15