Public Health, MS

Contact

Lutchmie Narine, Graduate Director and Department Chair

444B White Hall

315-443-9630

lnarine@syr.edu

Description

The Masters of Science in Public Health (MSPH) is a 42 credit hour graduate program designed to provide students with core knowledge and skills necessary for conducting research in the area of public health. Students may choose from two possible tracks: “Global Health” and “Health Data Analytics”.

Admission:

The admissions requirements for this program include: undergraduate degree with a minimum cumulative 3.2 GPA, undergraduate transcripts, three letters of recommendation, and a resume and personal statement. For international students whose primary language is not English, TOEFL scores of 577 (paper test) or 100 for the internet based (IBT) test are desirable. Incoming students must demonstrate public health foundational knowledge by either (a) earning a BSPH from a CEPH accredited program or (b) demonstration of Public Health “Foundational Knowledge” as outlined in CEPH accreditation documents.

Part-Time Study

Program may be pursued on a part-time basis with department approval.

Financial Support

Limited department financial aid is available in the form of graduate assistantships and scholarship credits for students enrolled in masters and doctoral programs. Financial aid is determined based on merit.

Additional information regarding graduate financial aid can be found at https://graduateadmissions.syr.edu/funding/

Transfer Credit

Students may transfer up to 9 credits. Substituted/transferred course work should cover material equivalent to that which is covered in the relevant required course. Substitution/transfer requests will need to be approved by the graduate committee for public health programs. All students are expected to file a tentative program of study in their second semester. Students transferring courses from another institution must file a program of study prior to completing 12 credits at Syracuse University

Degree

MS, 42 credit hours

Student Learning Outcomes

1. Affect positive changes in health through research, policy analysis and evidence-based health programming.
2. Conduct independent, original, theory-based public health research.
3. Apply analytic methods to the analysis of public health data (specific to Health Data Analytics track).
4. Explain health issues in the context of the global community (specific to Global Health track).

Requirements

Research Methods Core (21 credits)

Required: (21 credits)

PHP 621 - Research Methods in Public Health 3 credit(s)
or
PSY 655 - Experimental Design and Statistical Methods I 3 credit(s)
And
PHP 622 - Research Proposal Development 2 credit(s)
PHP 623 - Ethical Issues in Public Health Research 1 credit(s)
PHP 630 - Analysis of Public Health Data 3 credit(s)
PHP 631 - Intermediate Biostatistics 3 credit(s)
PHP 661 - Development and Evaluation of Public Health Programs 3 credit(s)
PHP 665 - Public Health Policy 3 credit(s)
PHP 668 - Applied Epidemiology 3 credit(s)

Specialization Track

(choose 1, 12 credit track)

Global Health Track

Required Courses

PHP 704 - Infectious Disease: Epidemiology and Control 3 credit(s)
PHP 705 - Global Health Governance 3 credit(s)
PHP 706 - Environmental Determinants of Global Health 3 credit(s)
1 Elective: Choose From:
FST 603 - The Human Right to Adequate Food and Nutrition 3 credit(s)
FST 703 - Transnational Food, Health and the Environment 3 credit(s)
FST 706 - Gender, Food, Rights 3 credit(s)
PHP 642 - Substance Use and Mental Health: Global Contexts 3 credit(s)
PHP 662 - Culture and Reproductive Health and Medicine 3 credit(s)
PHP 669 - Disability and Global Health 3 credit(s)

Health Data Analytics Track

Required Courses

PHP 632 - Advanced Biostatistics 3 credit(s)
PHP 633 - Spatial statistics for public health 3 credit(s)
2 Electives: Choose from:
EDU 603 - Introduction to Qualitative Research 3 credit(s)
HFS 622 - Statistical Concepts II 3 credit(s)
IDE 742 - Introduction to Survey Research 3 credit(s)
MAT 695 - Fundamentals of Data Science 3 credit(s)
PAI 724 - Data Driven Management in Public Organizations 3 credit(s)
PAI 793 - Predictive Analytics 3 credit(s)
PSY 691 - Meta-Analysis 3 credit(s)
PSY 756 - Experimental Design and Statistical Methods II 3 credit(s)
PSY 780 - Introduction to Structural Equation Modeling 3 credit(s)
*Please note that some of the elective choices require completion of a pre-requisite or appropriate substitution of the pre-requisite prior to enrollment.

Thesis Requirement (9 credits)

PHP 997 - Master’s Thesis 3 credit(s)
Elective - 3 credits - Students choose 1 elective in consultation with their advisor.

Satisfactory Progress:

Certification for an advanced degree at Syracuse University requires a minimum average of 3.0 for work comprising the program for the degree and a 2.8 average for all credits earned.