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Academics & Programs

The College of Health occupies a unique space within the Lehigh University ecosystem, and it enables us to tap into the expertise from faculty in Lehigh’s four existing colleges. Our alumni enter the world prepared to make an impact in the private sector, nonprofit organizations and government institutions.


Bachelor of Science in Population Health

Lehigh University's Bachelor of Science in Population Health degree prepares students to investigate the determinants of health using data science, and to identify novel and effective avenues for disease prevention, health promotion, diagnosis, and intervention. The program combines courses in population health with foundational courses in mathematics, natural sciences, social sciences, and computer science. Students gain knowledge and skills through coursework, experiential learning opportunities, research projects and engagement with traditional and nontraditional partners in pursuit of a healthier world. 

BS Degree Program Requirements

Learn more about the BS in Population Health >

Bachelor of Arts in Community and Global Health

The overall objective of the College of Health’s proposed BA degree in community and global health is to provide undergraduate students with a multi-disciplinary approach to studying human health and well-being focused on implementing change to improve health in communities locally and globally. Our goal is to educate students who are interested in multi-level aspects of health and healthcare; students who are committed to working with communities in the United States and abroad; and students who are passionate about learning how to best implement healthcare initiatives in response to ongoing individual and community needs. Our overarching goal is to translate theory into actionable knowledge and practice.

The BA emphasizes conceptual, methodological, and analytical approaches to implementing health services, interventions, and programs in communities. While the BS degree in population health teaches students the methods to study determinants of health, the BA in community and global health teaches students to intervene to improve health based on these determinants.  With respect to methodology, the BA degree is also distinct because it emphasizes the importance of qualitative research methods, as well as mixed-method approaches that combine qualitative with quantitative methods. The BA degree also underscores the importance of cultural understandings in health within the United States and other nations. Finally, grounded in interdisciplinarity, the BA degree will prepare students to improve global and domestic health outcomes.

BA Degree Program Requirements

Minor Programs

  • Population Health
  • Global Health
  • Indigenous People's Health
  • Maternal & Child Health 
  • Health Policy & Politics*
*pending faculty approval

Graduate (coming Fall 2022!)

For additional information, contact Dr. Fathima Wakeel, Director of Graduate Programs.  

Apply to our graduate programs


  • Population Health
  • Global Population Health

4+1 accelerated programs (Undergraduate/Graduate Degree)

  • Mater of Population Health
  • Master of Public Health (MPH)
  • Master of Engineering in Health Systems Engineering*
*pending faculty approval

Masters Programs 

  • Mater of Population Health 
  • Master of Public Health (MPH)
  • MBA/MPH*
  • Flex MBA with Public Health Concentration*
*pending faculty approval

Doctor of Philosophy in Population Health

Spring 2022 - Course Offerings

BSTA 001 | Population Health Data Science I
Section 110 | MW 12:10p-1:25p | CRN: 14472 | 3 credits

In Population Health Data Science I (PHDS-I) students will spend the semester learning the fundamentals of probability theory, univariate statistics, statistical computing/programming/visualization, and machine learning. A mix of traditional and experiential learning will focus on how to build an analysis pipeline to answer pressing questions in population health. In-class examples and projects will use real data sets. Examples include: comparing cardiovascular interventions in clinical trials, evaluating the incidence of influenza in the United States, and visualizing international health expenditures and burdens. Students will propose a small data-driven project focused in population health, and use their newly-acquired data science skills to collect, analyze, and present their work.
Instructor: Professor Tom McAndrew

BSTA 002 | Population Health Data Science I Algorithms Lab
Section 111 | W 1:35p-4:15p | CRN: 15354 | 3 credits
Section 112 | F 1:35p-4:15p | CRN: 15355 | 3 credits

Students will apply statistical concepts learned in BSTA 001 Population Health Data Science I to describe, visualize, and draw inferences on a variety of health datasets using Python3. Datasets that students will study include: influenza-like illness and confirmed positive cases of COVID-19 tracked by the Centers for Disease Control and Prevention, and a repository of potentially hazardous chemicals found in commercial products. Lab is to be taken concurrently with lecture - BSTA 001 Population Health Data Science I. Co-requisite: BSTA 001
Instructor: Professor Tom McAndrew

BSTA 395 | Applied Machine Learning for Health Sciences
Section 010 | R 7:15p-9:55p | CRN: 15381 | 3 credits

Machine learning uses interdisciplinary techniques to create automated systems that can sift through large amounts of data at high speed to make predictions and decisions with minimal human intervention. Machine learning is increasingly pervasive and impactful in public health and precision medicine. This class will provide students with a broad cross-section of practical machine learning skills while giving them an appreciation of how machine learning is being applied in the context of public health research today. Pre-requisite: BSTA 101.
Instructor: Professor Bilal Khan

BSTA 396 | Advanced R Programming
Section 010 | MW 12:10p-1:25p | CRN: 15382 | 3 credits

R language syntax and structure. R programming techniques. Emphasis on structured design for medium to large programs. R package development fundamentals. Capstone development project. Pre-requisite: BSTA 101.
Instructor: Professor John Hughes

BSTA 397 | Nonparametric Statistics
Section 010 |MW 09:20a - 10:35a | CRN: 15383 | 3 credits

Classical nonparametric inference, exact tests, and confidence intervals. Robust estimates. The jackknife. Bootstrap and cross-validation. Nonparametric smoothing and classification trees. Models/applications. Formal development sufficient for understanding statistical structures/properties. Substantial computing. Pre-requisite: BSTA 101, Instructor permission required.
Instructor: Professor John Hughes

CGH 101 | Careers in Community and Global Health Studies
Section 010 | M 7:15p - 9:55p | CRN: 15356 | 3 credits

In this interdisciplinary seminar, students will be exposed to individuals working in community and global health in academic positions, government and non-governmental organizations, community-based organizations, medical establishments, industry, and more. Through the eyes of these professionals, students will learn of career opportunities in these growing fields of study and will begin to chart their own career paths.
Instructor: Staff

CGH 103 | Biological & Environmental Determinants of Health
Section 010 | TR 1:35p - 2:50p | CRN: 15357 | 3 credits

This course provides students with a foundational knowledge of the biological mechanisms underlying health and disease. Students will learn about the evolutionary genetic basis of disease and the major disease transitions throughout history, all driven by interactions between the genetic composition of individuals and groups and their natural and built environment. Students will become familiar with the various infectious agents causing disease and the human immune response, as well as the biological determinants of chronic diseases. Not for biology majors.
Instructor: Professor Christine Daley

CGH 105 | Commercial Determinants of Health
Session 010 | MW 10:45a - 12:00p | CRN: 15237 | 3 credits

In this course, students will learn about the role that major soda and ultra-processed food industries play in affecting public health outcomes and policy-making processes. Carefully examining the cases of the United States and developing nations, this course reveals how and why these industries influence consumption patterns in different communities, how government, civil society, and the international community is responding, and the various strategies used by industry to influence policy decisions in their favor.
Instructor: Professor Eduardo Gomez

CGH 122 | Indigenous Healing Traditions
Section 010 |TR 3:00p - 4:15p | CRN: 15358 | 3 credits

In this course, students will be introduced to the healing traditions of the Indigenous peoples of the Americas. Special attention will be paid to the Native peoples and nations of the United States. Traditional Indigenous perspectives of wellness and un-wellness will be explored, as well as healing rites, rituals and ceremonies from Pre-Contact times to the present-day. Indigenous health and healing in the context of colonization and the introduction of Old World diseases will also be discussed.
Instructor: Professor Sean Daley

CGH 197 | What is the US Healthcare Ecosystem?
Section 010 | MW 1:35p - 2:50p | CRN: 15384 | 3 credits

This course examines the structure, functioning, financing, and performance of the U.S. healthcare system. It aims to provide a general overview of the relationships between health care consumers, providers, organizations, regulators, and payers. The course will cover the history of the U.S. healthcare system and the political and social environment in which it exists and compare it to systems from other countries. It is essential for individuals working in health care to understand the health care system and its dynamic environment, understand their role and their organization’s role within the healthcare system, and assess and respond effectively to policy changes and organizational strategies.
Instructor: Professor Albert Liu

CGH 395 | Cross-National Comparisons of Health Systems & Policy
Section 010 |T 7:15p - 9:55p | CRN: 15385 | 3 credits

Countries around the world face a range of common problems in their public health and health care systems. These include demographic and technological changes, budget pressures. and inequalities in health and access to health care services. Policy responses to these common challenges vary with the historical, cultural, legal, social, and political character of individual countries. We will examine the health policy responses of higher and lower income nations to these challenges. We will seek to explain why nations differ in their policy choices, explore the pros and cons of some of these approaches, and draw implications for U.S. policy debates.
Instructor: Professor Michael Gusmano

CGH 396 | Healthcare Finance
Section 010 | MW 3:00p - 4:15p | CRN: 15386 | 3 credits

This foundation course will introduce students to the key financial management principles, concepts and techniques as applied to health services organizations. This course will cover financial analysis and reporting, revenue sources and reimbursement methods,  working capital management, revenue cycle management, and capital budgeting techniques used in the healthcare industry.
Instructor: Professor Albert Liu

EPI 304 | Methods in Epidemiology I
Section 010 | Lecture: TR 9:20a - 10:35a Lab: R 12:10p - 1:00p
CRN: 14486 | 4 credits

Epidemiology is the field of scientific inquiry concerned with questions about the determinants of disease in the population. This course covers fundamental concepts of epidemiological thinking including study design and analytical methods to address confounding, bias, and effect modification. Students will be introduced to measures of disease frequency and association, sources of bias and how to address them, and concepts in causal inference. Case studies will address health concerns from infectious disease outbreaks to population health surveillance and disease prevention.
Instructor: Professor Halcyon Skinner

EPI 306 | LifeCourse Epidemiology
Section 010 |TR 10:45a - 12:00p | 15359 | 3 credits

This course provides students a foundation for understanding the terminology and theoretical framework used in life course epidemiology and family health services research; biobehavioral pathways by which early life experiences impact health across the life course; data sources, study designs, and statistical approaches used in LifeCourse epidemiology and family health services research; and implications for clinical and public health practice, policy, and health system development with an eye towards development of effective and sustainable life course interventions. Pre-requisite: EPI 304.
Instructor: Professor Whitney Witt

POPH 002 | Population Health Research Methods & Application
Section 010 | TR 12:10p - 1:25p | CRN: 14465 | 3 credits

This course provides students with fundamental principles of research methods relevant to population health and the translation of research into practice. Through this course, we will review a range of study designs, including experimental and observational studies, mixed methods, and comparative qualitative case study methods. In addition, students will obtain the skills needed to translate research into practice for multiple stakeholder groups. Prerequisite: POPH 001.
Instructor: Professor Fathima Wakeel

POPH 195 | Health, Government and the Media | 3 credits
Section 110 | M 3:00p - 4:15p | W 1:35p - 2:50p | CRN: 15605
Section 111 | M 3:00p - 4:15p | W 3:00p - 4:15p | CRN: 15606

Taught by journalist Joan Lunden, this course explores the societal, environmental, and economic trends which affect populations and thus influence our future world.  Experts can project current demographic trends, which then provide them with a demographic framework for future societies. We’ll examine the importance of the relationship health organizations and government agencies have with the media and how issues such as migration, urbanization, fertility rates and health challenges can either stabilize a population or put it at risk.
Instructor: Professor Joan Lunden

POPH 350 | Special Topics:
Translating Health Data into Actionable Knowledge
Section 010 | MW 1:35p-2:50p | CRN: 14906 | 3 credits

Translating Health Data into Actionable Knowledge - In this course, students will engage in an intensive exploration of a topic of special interest that is not covered in other courses. Topics addressed will be at an advanced level. Instructor permission required.
Instructor: Professor Hyunok Choi

POPH 395 | Health Survey Research Methods
Section 010 | TR 1:35p-2:50p | CRN: 15387 | 3 credits

Health surveys contain critical population health information for health outcomes and research, particularly publicly available datasets. This course aims to familiarize students with the fundamentals of health surveys, including theoretical constructs, definitions of health, measurement, study design and data collection, analyses, sources of bias, and policy implications. Students will gain the knowledge necessary to evaluate survey research findings from health surveys. General overviews and case studies will deepen understanding of the quantitative and qualitative techniques used in survey research.
Instructor: Professor Whitney Witt

Fall 2021 - Courses Taught

BSTA 101 | Population Health Data Science II | 3c.

BSTA 103 | Population Health Data Science II Algorithms Lab | 1c.

CGH 001 | Community Health | 3c.

CGH 004 | Introduction to Global Population Health | 3c.

CGH 007 | 7 Dimensions of Health & Wellness | 3c.

CGH 021 | Culture and Health | 3c.

CGH/POP 197 | What is the US Healthcare Ecosystem? | 3c. | Provisional offering

EPI 196 | Introduction to Why | 3c. | Provisional offering

HIT 010 | Seminar: Design Thinking for Innovation in Health | 1c.

POPH 001 | Introduction to Population Health | 4c.

POPH 003 | Justice, Equity, and Ethics in Population Health | 3c.

POPH 101 | History of Population Health | 3c.

POPH 105 | Introduction to Maternal and Child Population Health | 3c.

POPH 106 | Global Environment and Human Welfare | 3c.

POPH 126 | Population Health and the Media | 3c.

POPH 198 | Cancer in the Population | 3c. | Provisional offering

BIOE 396 | Bioengineering Applications in Machine Learning | 3c. | Provisional offering

Studying at Lehigh

Lehigh blends entrepreneurial thinking, creative inquiry and rigorous academic programs with a vibrant life in and outside the classroom, offering distinctive programs that support, guide, challenge and inspire our students. Lehigh also values the rich impact that service learning opportunities have on students and their development as professionals and global citizens and partners across the university to bring those offerings to College of Health students. From your first steps on campus until you earn your diploma, Lehigh will help you chart your unique path for success, all within an environment that fosters personal growth and development.

Learn about student life at Lehigh >

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