College of Staten Island

Graduate Catalog 2014-2015

Advanced Certificate in Business Analytics of Large-Scale Data

School of Business, Building 3N, Room 235

Interim Founding 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 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.

Business Analytics of Large Scale Data Admission and Continutation Requirements

  1. An applicant must have completed, as a minimum, an undergraduate 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 baccalaureate 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.

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 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

Catalog Contents

Click arrowheads to expand or collapse contents

Expand allCollapse all

Graduate Catalog 2014-2015

Message from the President

About the College

Admissions

Registrar

Tuition and Fees

Financial Aid

Academic Policies and Procedures

Academic Services/Student Services

Graduate Degrees and Certificate Programs

CUNY Doctoral Degree Programs

Graduate Programs, Disciplines, and Course Offerings

Master of Science in Accounting (MS)

Autism Spectrum Disorders Advanced Certificate

Master of Science in Biology (MS)

Advanced Certificate in Business Analytics of Large-Scale Data

Master of Science in Business Management (MS)

Master of Arts in Cinema and Media Studies (MA)

Master of Science in Computer Science (MS)

Graduate Programs in Education

Master of Science in Childhood Education (MSEd)

Master of Science in Adolescence Education (MSEd)

Master of Science in Special Education (MSEd)

Master of Science in Teaching of English to Speakers of Other Languages (TESOL) (MSEd)

Post Master's Advanced Certificate for Teaching of English to Speakers of Other Languages (TESOL)

Post-Master’s Advanced Certificate for Leadership in Education

Graduate Education Courses

Master of Arts in English (MA)

Master of Science in Environmental Science (MS)

Master of Arts in History (MA)

Master of Arts in Liberal Studies (MA)

Master of Arts in Clinical Mental Health Counseling (MA)

Master of Science in Neuroscience, Mental Retardation, and Developmental Disabilities (MS)

Graduate Programs in Nursing

Master of Science in Adult - Gerontological Nursing (MS)

Advanced Certificate Programs

Nursing Courses

Clinical Doctorate Programs in Nursing

Doctorate of Nursing Practice, Adult-Gerontological Health Nursing (DNP)

Doctorate of Nursing Practice Admission Requirements

Clinical Nursing Doctorate Degree Requirements

Advanced Certificate in Cultural Competence: 9 credits

Post-Master's Advanced Certificate in Nursing Education: 12 credits

Doctoral Nursing Courses

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

NRS 703 Teaching and Learning for Cultural Competence Development

NRS 704 Cultural Competence in Health Care Project

NRS 705 Health Organizations, Policy, Financing, and Ethics

NRS 706 Applied Statistical Thinking and Methods in Health Research

NRS 711 Health Care Program Development

NRS 712 Nurse as Educator

NRS 720 Advanced Practice Nursing with Adults in Community Settings

NRS 721 Role Practicum: Adults in Community Settings

NRS 722 Advanced Practice Nursing with Adults in Acute Care Settings

NRS 723 Role Practicum: Adults in Acute Care Settings

NRS 724 Case Management for Advanced Practice Nursing

NRS 725 Primary Health Care Adult-Gerontology

NRS 726 Primary Health Care Adult- Gerontology II

NRS 727 Role Practicum: Primary Health Care I

NRS 728 Role Practicum: Primary Health Care II

NRS 730 Evidence Based Nursing for Advanced Practice

NRS 750 Curriculum in Nursing

NRS 754 Evaluation in Nursing Education

NRS 755 Application of Leadership Models in Professional Practice

NRS 756 Technological Integrations

NRS 757 Professional Nursing Bioethics

NRS 758 Teaching and Learning in Nursing Education

NRS 759 Clinical Finance & Management

NRS 760 Practicum in Nursing Education

NRS 761 Advanced Therapeutics

NRS 762 Integrative Practice Proposal (Capstone I)

NRS 763 Intergrative Practice Application (Captsone II)

NRS 799 Thesis Option

Doctorate in Physical Therapy (DPT)

Program Overview

Accreditation Status

Program Goals

Graduation, Enrollment, Licensure Pass Rates

Doctorate in Physical Therapy (DPT) Admission, Application, Progression and Retention Requirements

Doctorate in Physical Therapy (DPT) Degree Requirements

Clinical Affiliations

Program FAQS

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 and Motion Analysis

PHT 88600 Clinical Affiliation II

PHT 88700 Clinical Decision Making

PHT 88800 Directed Research IV

PHT 88950 Clinical Affiliation III

PHT 89000 Clinical Affiliation IV

PHT 90000 Directed Research V

Doctorate in Physical Therapy (DPT)

Master of Social Work (MSW)

Master of Social Work (MSW) Mission and Goals

Master of Social Work (MSW) Admission Requirements

Master of Social Work (MSW) Dismissal, Probation, Continuation and Graduation

Master of Social Work (MSW) Degree Requirements

Social Work Courses

Topics Courses and Independent Study

Graduate Courses in Selected Disciplines

American Studies Courses

Art Courses

Biology Courses

Computer Science Courses

Dramatic Arts Courses

Environmental Science Courses

Geography Courses

History Courses

Mathematics Courses

Political Science Courses

Science Courses

Appendix

Travel Information

Index