Program Requirements


MPVM faculty member and alumna Dr. Gabriele Maier with colleagues in Nicaragua.
MPVM faculty member and alumna Dr. Gabriele Maier with colleagues in Nicaragua.

MPVM Program Requirements

Project Opportunities

MPVM student education is centered around required and elective courses as well as a research project. Our recently updated curriculum augments our strong offerings in statistics, epidemiology, and implementation of research with Animal/human Health Leadership, ecosystem health, and infectious disease epidemiology. A growing menu of annual or every-other-year elective offerings includes disease ecology, epidemiological modeling, zoonoses, risk analysis, diagnostic test evaluation, spatial epidemiology, and many others within and beyond the School of Veterinary Medicine.

Candidates for the MPVM degree must satisfactorily complete, in residence, a total of 32 units of required coursework in epidemiology, biostatistics and research methodology (required classes and their scheduling are shown below) and a minimum of 10 units of elective courses in areas such as epidemiology, biostatistics, herd health management, animal health economics, simulation modeling, veterinary medical data management and computer applications, zoonoses and veterinary public health. Of the 10 units of elective courses, no more than 2 units of seminar sessions can be included.

Students must maintain a GPA of at 3.0 to remain in good academic standing. Students may use this form as a guide for choosing courses and should discuss this form and plans with their program advisor, Dr. Janet Foley ( or Dr. Gabrielle Maier ( 
MPVM Academic Advising Form (pdf).


Fall Quarter

MPM 200: Introduction to Information Management, 1 unit. Course leader: Terry Lehenbauer/Sharif Aly. Course Description: A practical application of epidemiological methods using the microcomputer as a tool to solve problems. Utilizes spreadsheets and databases as tools to organize and analyze data.

MPM 201: Emerging issues at the Interface of Animal, Human, and Ecosystem Health, 2.5 units. Course Leader: Christine Kreuder Johnson. Course Description: Principles of one health with emphasis on the relationships and interdependence of environmental, animal and human health. Exploration of critical data gaps needed to achieve sustainability in ecosystems and disease prevention

SPH 244: Introduction to Health Science Statistics I, 4 units. Course leader: Laurel Beckett. Introduction to statistical methods and software in clinical, laboratory and population medicine. Graphical and tabular presentation of data, probability, binomial, Poisson, normal, t-, F-, and Chi-square distributions, elementary nonparametric methods, simple linear regression and correlation, life tables.

MPM 205: Principles of Epidemiology, 4 units. Course leader: Woutrina Smith and . Course Description: Basic epidemiologic concepts and approaches to epidemiologic research, with examples from veterinary and human medicine, including outbreak investigation, infectious disease epidemiology, properties of tests, and an introduction to epidemiologic study design and surveillance.

MPM 208: Applied Research Methods: Veterinary Research: Planning and Reporting, 2 units. Course leader: Janet Foley. Course Description: Planning, critical analysis, ethics, and oral communication of veterinary research.

MPM 210: Advanced Animal/human Health Leadership: Policy and Risk Communication, 1.5 units. Course leader: Jonna Mazet. Course Description: International, national and state policy issues affecting veterinary medicine, how policy is made, organizational cultures, the role of science in policy-making, ten best practices in risk/crisis communication, message-mapping for the public and policy-makers, and effective meeting management.

Winter Quarter

SPH 245: Medical Statistics III, 4 units. Course leader: K. Rajan. Course Description: Analysis of data and design of experiments for laboratory data

MPM 206: Epidemiologic Study Design, 4 units. Course leader: E. Robert Atwill. Course Description: Build on concepts presented in MPM 205. Concepts of epidemiologic study design clinical trials, observational cohort studies, case control studies—introduced in MPM 205 are covered in more depth, using a problem-based format. Discussion on published epidemiological studies.

MPM 207: Epidemiologic Problem Solving, 1 unit. Course leader: Beatriz Martinez-Lopez. Course Description: Integration of epidemiologic and statistical methodology in a problem-solving approach to contemporary animal population health issues. Data validation and manipulation; descriptive statistical analysis using spreadsheets, database management, and Epi Info software.

MPM 209: Applied Research Methods: Scientific writing, 1 unit. Course leader: Mary Christopher. Course Description: Effective scientific writing and publication in a peer-reviewed journal are essential skills for veterinary health professionals. Students will learn key concepts and valuable techniques for honing their message, organizing and writing, improving readability, and publishing their research.

MPM 212: Infectious disease epidemiology, 3 units. Course leader: Beatriz Martinez-Lopez. Course Description: Concepts and methodologies used to approach and control infectious diseases, with a major emphasis on zoonotic, vector-borne, food-borne, and water-borne diseases. Methodologies include advanced surveillance techniques for acute and chronic disease, approaches to disease prevention, control, and eradication, and analytical techniques used in infectious disease epidemiology.

Spring Quarter

PHR 266: Applied Analytical Epidemiology. Covers Methods of analyzing stratified and matched data, logistic regression for cohort and case-control studies, Poisson regression, and survival-time methods.


Students choose electives reflecting their personal interests/selected track. Students may select appropriate courses not on the electives list and have them approved by their Graduate Adviser. Electives must be upper-division undergraduate-level or graduate-level courses. A list of some electives follows. Please check back for updated information and explore the UC Catalog as well.

*Subject to change without notice as each campus department may at any time add or remove a course due to instructor availability.

Course/Units        Course name

SPH 204 (3)           Globalization and Health: Evidence and Policies.
PMI 214 (2)            Vector-Borne infectious diseases. Course leaders: Lark Coffey

*PHR 210 (1)          Epidemiological approaches to waterborne zoonotic diseases.  Course Leader: E. Robert Atwill.
VME 158/258 (3/4) Disease ecology. 3-4 units. Course leader: Janet Foley.
ARE 147 (3)            Resource and environmental policy. Course Leader: Kristin Kiesel
ARE 176 (4)            Environmental economics.

*Offered odd years, beginning in 2023

ARE 175 (4)         Natural resource economics. Course Leader: Cynthia Lin Lawell
PHR 277 (3)         Mathematical models in epidemiology. Course leader: Sharif Aly
PHR 298 (2)         Food Safety Epidemiology. Course Leaders: Maurice Pitesky and Brett McNabb
PMI 206 (1)         Mentored Scientific Writing. Course leader: Mary Christopher
VME 217  (2)       Evaluation of diagnostic tests. Course leader: Ashley Hill, taught in odd years only
*Epi 223              Spatial Epidemiology (3)
*Epi 224              Health and Ecological Risk Analysis (3)
*alt years



Applied Epidemiology research project (8 units): to be started as soon as feasible and completed by Summer session II of year 2. (corresponds to 240 hours of effort)

In addition to coursework, a project which culminates in a written and oral presentation is required. Eight units of credit are earned upon completion of the research project, for a minimum of 50 units total, for the program. The intent of the project is to foster development of skills in the design and conduct of research and data analysis. The study can be designed to uncover facts, or it can involve the development of a disease control program. The research report must represent a careful and systematic study in epidemiology. Data previously obtained may be used in the formulation of this study, but a data set that has already been analyzed is not acceptable. Additional detailed information is here.