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CLSMT-BS - Clinical Laboratory Science/Medical Technology

Overview

Official Name of Program

Clinical Laboratory Science/Medical Technology

Plan Code

CLSMT-BS

Department(s) Sponsoring Program

Career

Undergraduate

Degree Designation

BS - Bachelor of Science

HEGIS Code

1223.00

NYSED Program Code

02919 - CLSMT-BS

CIP Code

51.1005

Clinical Laboratory Science is the branch of medicine concerned with the performance of laboratory test procedures and analyses used in the diagnosis, treatment, and prognosis of disease, and the maintenance of health.

Mission Statement

The Clinical Laboratory Science Program at York College has been structured to provide students with an education that encompasses liberal arts and basic science requirements. It is our mission to prepare students to become competent clinical laboratory scientists with knowledge, skills, and attitudes assumed by professionals as members of the health care team.

Program Goals

  • Provide a learning experience for students in the field of laboratory sciences.

  • Provide students with appropriate courses and internship training in order to qualify for NYS licensing and national certification exams.

  • Prepare students to work in large institutions, point of care testing sites and research laboratories as a knowledgeable member of the healthcare team.

  • Have students graduate with cognitive and psychomotor skills that will allow them to become responsible professionals as they perform laboratory procedures with precision and accuracy, and complete their studies with distinct entry-level competencies.

  • Have students develop a personal philosophy incorporating legal and ethical standards that govern the practice and management of a diagnostic laboratory.

  • Have students assume responsibility for their continuing education and prepare them academically for graduate school.

  • Prepare students with critical thinking skills to develop and assess research projects, including the math skills to present, interpret and evaluate project data and statistics.

Requirements