College of Staten Island

Graduate Catalog 2017-2018

Advanced Certificate in Business Analytics of Large-Scale Data

School of Business, Building 3N, Room 219

Dean, Susan Holak, BS, MPhil, PhD

Program Coordinator: Professor Jonathan Peters

Building 3N, Room 207

Telephone: 718.982.2963


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.

Business Analytics of Large-Scale Data Admission and Continutation 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

Certificate Requirements

15 credits

BDA 761

Big Data Management in Supercomputing Environment

BDA 762

Analysis Techniques for Large-Scale Data - Spatial and Statistical Techniques

BDA 763

Forecasting for Managers and Researchers

BDA 764

Research Project in Large-Scale Data



BDA 765

Seminar in Big Data - Current Topics



CSC 735

Machine Learning and Data Mining

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Graduate Catalog 2017-2018

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Autism Spectrum Disorders Advanced Certificate

Advanced Certificate in Business Analytics of Large-Scale Data

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BIO 670 Pathophysiological Concepts in Health and Illness

NRS 682 Advanced Pharmacology

NRS 700 Transcultural Concepts and Issues in Health Care

NRS 701 Theoretical Foundations for Advanced Practice Nursing

NRS 702 Advanced Health Assessment & Diagnostic Reasoning

NRS 703 Teaching and Learning for Cultural Competence Development

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NRS 705 Health Organizations, Policy, Financing, and Ethics

NRS 706 Applied Statistical Thinking and Methods in Health Research

NRS 711 Health Care Program Development

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NRS 750 Curriculum in Nursing

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Physical Therapy Courses

PHT 70100 Clinical Anatomy

PHT 70200 Medical Terminology

PHT 70300 Foundations of Patient Care

PHT 70400 Introduction to Physical Therapy Practice & Ethics

PHT 70500 Upper Extremity Kinesiology & Assessment

PHT 70600 Psychosocial Aspects of Clinical Practice

PHT 71000 Research Design

PHT 72000 Human Physiology and Exercise Physiology

PHT 73000 Structure and Function of the Nervous System

PHT 74000 PT Interventions and Preventions

PHT 75000 Physical Modalities - Clinical Decision Making and Application

PHT 76000 Lower Extremity Kinesiology & Assessment

PHT 77000 Directed Research I

PHT 78000 Clinical Medicine for PT

PHT 79500 Integumentary System: Assessment & Intervention

PHT 80000 Introduction to Musculoskeletal Examination

PHT 80100 Pulmonary Evaluation and Interventions

PHT 80200 Clinical Education: Education Theories

PHT 80300 Differential Diagnosis & Intervention in Clinical Orthopedics

PHT 80400 Introduction to Neurological PT

PHT 80500 Musculoskeletal Examination I

PHT 80600 Clinical Affiliation I

PHT 80700 Proprioceptive Neuromuscular Facilitation

PHT 80800 Differential Diagnosis in Neurological Evaluation

PHT 80900 Directed Research II

PHT 81000 Neurological Interventions I

PHT 81100 Cardiac Rehabilitation

PHT 82000 Clinical Orthopedics II/Radiology and Imaging

PHT 83000 Orthotics & Prosthetics

PHT 84000 Differential Diagnosis & Intervention in Clinical Neurology

PHT 85000 Musculoskeletal Examination II

PHT 86000 Directed Research III

PHT 87000 Health Promotion through the Life Span

PHT 87200 Topics in PT

PHT 88000 Neurological Interventions II

PHT 88100 Seminar on Organization and Management

PHT 88200 Pediatric Development and Assessment

PHT 88300 Pharmacology and Systems Review

PHT 88400 Musculoskeletal Examination III

PHT 88500 Electroneuromyography & Motion Analysis

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PHT 88800 Directed Research IV

PHT 88950 Clinical Affiliation III

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PHT 90000 Directed Research V

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SWK 611 MSW HSBE I: The Sociocultural Construction of the Human Experience

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SWK 630 Topics in Intimate Partner Violence

SWK 651 MSW Social Work Practice I: Introduction to Integrative Social Work Practice with Individuals and Families

SWK 654 MSW Integrative Seminar I

SWK 655 MSW Internship I

SWK 660 MSW Social Work Practice II: Social Work Practice with Groups

SWK 665 MSW Social Work Practice III: Social Work Practice with Communities & Organizations

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SWK 680 Immigration and Social Work Practice

SWK 682 Social Work and Child Welfare

SWK 684 Drugs and Alcohol

SWK 686 Human Sexuality and the Helping Professions

SWK 700 Bridge to Concentration Year for Advanced Standing Students

SWK 702 The Range of the Human Condition in Social Work Practice

SWK 704 Assessment and Formulation in Social Work Practice with People with Disabilities

SWK 706 Modalities of Practice with People with Disabilities

SWK 710 Social Work Macro Practice In Organizations

SWK 712 Social Work Macro Practice: Program Planning and Evaluation

SWK 714 Social Work Macro Practice: Community Organizing and Development

SWK 732 Introduction to Disability Studies for Social Work

SWK 740 Social Work and Disability Studies Policy Practice

SWK 754 MSW Field Internship III

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SWK 762 Integrative Social Work Practice with People with Disabilities

SWK 764 MSW Integrative Seminar III

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