Twin Cities campus
Twin Cities Campus

Biostatistics M.P.H.

School of Public Health - Adm
School of Public Health
Link to a list of faculty for this program.
Contact Information
School of Public Health, MMC 819, A395 Mayo Memorial Building, 420 Delaware Street S.E., Minneapolis, MN 55455 (612-626-3500 or 1-800-774-8636; fax: 612-624-4498)
  • Program Type: Master's
  • Requirements for this program are current for Spring 2020
  • Length of program in credits: 42
  • This program requires summer semesters for timely completion.
  • Degree: Master of Public Health
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
A biostatistician is an important member of many research teams. Working in close partnership with researchers across a wide array of scientific disciplines, a biostatistician designs studies and develops statistical tools to extract meaning from complex data. The Biostatistics M.P.H. program requires that students meet core competencies in seven core public health areas, including administration, behavioral science, biostatistics, environmental health, foundations, epidemiology, and ethics. The M.P.H. program also requires students to complete an Applied Practice Experience, in addition to an Integrative Learning Experience.
This program is accredited by CEPH (Council on Education for Public Health).
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.00.
Other requirements to be completed before admission:
The admissions committee reviews applicants according to their record of academic achievement, demonstrated academic potential, letters of recommendation, background and experience, and other factors. GPAs and standardized test scores provide competitive points of reference for admission but are not alone decisive in the admissions review. Prospective applicants should have taken at least: - Three semesters of calculus (including multivariable calculus) - One semester of linear algebra Experience with a programming language (eg. Java, C, Python) is helpful, but not required. Preferred GRE performance expectations (test taken post-August 2011): 150 Verbal; 146 Quantitative
Special Application Requirements:
International applicants who have attended post-secondary institutions outside of the U.S. are also required to submit the following supporting documentation to SOPHAS. World Education Services (WES) evaluation of foreign academic credentials. The University of Minnesota School of Public Health requires all applicants with foreign academic credentials to provide a WES course-by-course evaluation of those credentials. Note: Applicants with transcripts from Canadian schools are exempt from this requirement. Instead, applicants should have copies of their Canadian transcripts sent directly to SOPHAS. Through special arrangements with SOPHAS, WES will deliver its credential evaluation report directly to SOPHAS by secure electronic transmission. This expedites the delivery of the evaluation report as well as images of the applicant's verified transcripts to SOPHAS and allows SOPHAS to process the report most efficiently. Go to for more information. Note: Once WES receives the required documentation, it can complete an evaluation in seven business days or less, depending on the type of service requested. However, if additional research, correspondence, or verification is required, the evaluation will take longer. Students are recommended to start the process at least six weeks prior to the program deadline to ensure that their WES evaluation reports are complete by the deadline. Proof of English Proficiency Applicants whose native language is not English, or whose academic study was done exclusively at non-English speaking institutions, must prove English proficiency by providing either official Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) scores. Official report of the scores should be sent directly to SOPHAS using designation code 5688 for the TOEFL or designation code SOPHAS for the IELTS.
Applicants must submit their test score(s) from the following:
  • GRE
    • General Test - Verbal Reasoning: 150
    • General Test - Quantitative Reasoning: 146
    • General Test - Analytical Writing: 4.0
International applicants must submit score(s) from one of the following tests:
    • Internet Based - Total Score: 100
    • Paper Based - Total Score: 600
    • Total Score: 7.0
    • Final score: 80
Key to test abbreviations (GRE, TOEFL, IELTS, MELAB).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
Plan C: Plan C requires 42 major credits and 0 credits outside the major. The final exam is oral. A capstone project is required.
Capstone Project: Integrative Learning Experience (ILE)
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 2 semesters must be completed before filing a Degree Program Form.
The Integrative Learning Experience (ILE) demonstrates the student's familiarity with the tools of research or scholarship in the program, the capacity to work independently, and the ability to present the results of the investigation effectively. The ILE should involve a combined total of 120 hours of work.
MPH Core Curriculum (12 Credits)
Take the following courses for a total of 12 credits:
PUBH 6751 - Principles of Management in Health Services Organizations (2.0 cr)
Foundations of Social and Behavioral Science
PUBH 6020 - Fundamentals of Social and Behavioral Science (2.0 cr)
Environmental Health
PUBH 6101 - Environmental Health (2.0 cr)
or PUBH 6102 - Issues in Environmental Health (2.0 cr)
PUBH 6320 - Fundamentals of Epidemiology (3.0 cr)
or PUBH 6341 - Epidemiologic Methods I (3.0 cr)
Foundations of Public Health
PUBH 6250 - Foundations of Public Health (2.0 cr)
PUBH 6741 - Ethics in Public Health: Professional Practice and Policy (1.0 cr)
Biostatistics Required Courses (22 Credits)
Take the following courses for a total of 22 credits:
PUBH 7405 - Biostatistics: Regression (4.0 cr)
PUBH 7406 - Advanced Regression and Design (4.0 cr)
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
PUBH 7450 - Survival Analysis (3.0 cr)
STAT 5101 - Theory of Statistics I (4.0 cr)
STAT 5102 - Introduction to Statistical Learning (4.0 cr)
Applied Practice Experience (1 Credit)
Take at least 1 credit of PubH 7494.
PUBH 7494 - Integrative Learning Experience: Biostatistics (1.0-3.0 cr)
Integrative Learning Experience (1 Credit)
Take the following ILE course:
PUBH 7496 - Applied Practice Experience: Biostatistics (1.0 cr)
Electives (6 Credits)
Take at least 6 elective credits, selected in consultation with the advisor, to meet the 42-credit minimum. Electives can be from the areas of public health, statistics, or biostatistics.
Program Sub-plans
A sub-plan is not required for this program.
Students may not complete the program with more than one sub-plan.
Public Health Policy Interdisciplinary Concentration Area
The School of Public Health's Public Health Policy Interdisciplinary Concentration (PHPIC) focuses on promoting the health of populations and groups through public and organizational policy. PHPIC is open to students pursuing an M.P.H., includes coursework that explores the way in which federal, state, local, and institutional entities affect the financing, structure, and delivery of public health and medical care. PHPIC coursework provides a better understanding of the health care system as a whole and prevention policy. The challenging curriculum helps M.P.H. majors hone practical skills that are highly sought after in the public health and policy arenas. Students who pursue the concentration can choose courses that emphasize: - Understanding community dynamics - Developing advocacy skills for public health - Analyzing legal and policy structures - Evaluating and implementing policies and programs - Influencing community health - Motivating and educating stakeholders and decision-makers - Using policy as prevention strategy - Eliminating health disparities through policy SPH graduate students must complete a formal program plan if they want the PHPIC to appear on their transcripts. For more information, contact Carol Francis, interdisciplinary concentrations coordinator, at or 612-624-6952.
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PUBH 6751 - Principles of Management in Health Services Organizations
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Understanding of and improvement in the competencies of managers in organizations, particularly as applied to health services and public health organizations. prereq: [Public hlth MPH or MHA or certificate] student or [environmental health MS or PhD] student or dentistry MS student or instr consent
PUBH 6020 - Fundamentals of Social and Behavioral Science
Credits: 2.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Four major approaches to public health problems: psychosocial, economic, community, policy. Theory, implementation. Small groups practice skills.
PUBH 6101 - Environmental Health
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Principles of environmental health relating to macro-/micro-environments and to products consumed or used by people. prereq: Public health [MPH or MHA or certificate] student or instr consent
PUBH 6102 - Issues in Environmental Health
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Current issues, principles, and methods of environmental/occupational health practice. prereq: Public health [MPH or MHA or certificate] student or health journalism MA major or nursing MS student or instr consent
PUBH 6320 - Fundamentals of Epidemiology
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
This course provides an understanding of basic methods and tools used by epidemiologists to study the health of populations.
PUBH 6341 - Epidemiologic Methods I
Credits: 3.0 [max 3.0]
Course Equivalencies: 02236 - PubH 6320PubH /6341
Grading Basis: A-F only
Typically offered: Every Fall
Introduction to epidemiologic concepts and methods: (1) Study design (randomized trials and observational studies); (2) Measures of exposure-disease association; (3) Casual inference and bias; (4) Confounding and effect modification.
PUBH 6250 - Foundations of Public Health
Credits: 2.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
In this course we will examine values, contexts, principles, and frameworks of public health. We will provide an introduction to public health, consider the history of public health, social/political determinants, impact of health disparities on race, class and gender, moral and legal foundations, public health structures, historical trauma and cultural competence, health and human rights, advocacy and health equity, communication and financing, and the future of public health in the 21st century. Grounded in theory and concepts, we will incorporate core competencies and skills for public health professionals and will focus on developing problem solving and decision-making skills through critical analysis, reflection, case studies, readings, and paper assignments.
PUBH 6741 - Ethics in Public Health: Professional Practice and Policy
Credits: 1.0 [max 1.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Introduction to ethical issues in public health practice/policy. Ethical analysis, recognizing/analyzing moral issues. prereq: Public health [MPH or MHA or certificate] student or environmental health [MS or PhD] major or instr consent
PUBH 7405 - Biostatistics: Regression
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
T-tests, confidence intervals, power, type I/II errors. Exploratory data analysis. Simple linear regression, regression in matrix notation, multiple regression, diagnostics. Ordinary least squares, violations, generalized least squares, nonlinear least squares regression. Introduction to General linear Model. SAS and S-Plus used. prereq: [[Stat 5101 or concurrent registration is required (or allowed) in Stat 5101], biostatistics major] or instr consent
PUBH 7406 - Advanced Regression and Design
Credits: 4.0 [max 4.0]
Prerequisites: [7405, [STAT 5102 or &STAT 5102], biostatistics major] or #
Typically offered: Every Spring
Topics include maximum likelihood estimation, single and multifactor analysis of variance, logistic regression, log-linear models, multinomial logit models, proportional odds models for ordinal data, gamma and inverse-Gaussian models, over-dispersion, analysis of deviance, model selection and criticism, model diagnostics, and an introduction to non-parametric regression methods. R is used. prereq: [7405, [STAT 5102 or concurrent registration is required (or allowed) in STAT 5102], biostatistics major] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent
PUBH 7450 - Survival Analysis
Credits: 3.0 [max 3.0]
Prerequisites: 7406, [STAT 5102 or STAT 8102]
Typically offered: Every Fall
Statistical methodologies in analysis of survival data. Kaplan-Meier estimator, Cox's proportional hazards multiple regression model, time-dependent covariates, analysis of residuals, multiple failure outcomes. Typical biomedical applications, including clinical trials and person-years data. prereq: 7406, [STAT 5102 or STAT 8102]
STAT 5101 - Theory of Statistics I
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution. prereq: [Math 2263 or Math 2374 or Math 2573H], [CSCI 2033 or Math 2373 or Math 2243]
STAT 5102 - Introduction to Statistical Learning
Credits: 4.0 [max 4.0]
Course Equivalencies: 00260
Typically offered: Every Spring
Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: [5101 or Math 5651 or instr consent]
PUBH 7494 - Integrative Learning Experience: Biostatistics
Credits: 1.0 -3.0 [max 3.0]
Grading Basis: S-N only
Typically offered: Every Fall, Spring & Summer
MPH students complete an integrative learning experience (ILE) that demonstrates synthesis of foundational and concentration competencies. Students in consultation with faculty select foundational and concentration-specific competencies appropriate to the student?s educational and professional goals. prereq: Biostatistics program, instr consent
PUBH 7496 - Applied Practice Experience: Biostatistics
Credits: 1.0 [max 6.0]
Grading Basis: S-N only
Typically offered: Every Fall, Spring & Summer
MPH students are required to complete a supervised Applied Practice Experience (APEx). Students must address five competencies and must submit two products that demonstrate attainment of the competencies. prereq: biostatistics MPH student