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Orange County Community College Associate in Clinical/Medical Laboratory Science

Clinical/Medical Laboratory Science is a major offered under the health professions program of study at Orange County Community College. We’ve pulled together some essential information you should know about the associate degree program in clinical laboratory science, including how many students graduate each year, the ethnic diversity of these students, and more.

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How Much Does an Associate in Clinical Laboratory Science from SUNY Orange Cost?

$6,094 Average Tuition and Fees (In-State)

SUNY Orange Undergraduate Tuition and Fees

In 2019-2020, the average part-time undergraduate tuition at SUNY Orange was $448 per credit hour for out-of-state students. The average for in-state students was $224 per credit hour. Information about average full-time undergraduate tuition and fees is shown in the table below.

In State Out of State
Tuition $5,376 $10,752
Fees $718 $718
Books and Supplies $1,500 $1,500

Learn more about SUNY Orange tuition and fees.

Does SUNY Orange Offer an Online Associate in Clinical Laboratory Science?

Online degrees for the SUNY Orange clinical laboratory science associate degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the SUNY Orange Online Learning page.

You may also be interested in one of these majors related to clinical/medical laboratory science.

Related Major Annual Graduates
Dental Support Services 20
Health & Medical Administrative Services 2
Allied Health & Medical Assisting Services 15
Allied Health Professions 14
Nursing 88

View All Clinical/Medical Laboratory Science Related Majors >

References

*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.

More about our data sources and methodologies.

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