Public Health, MPH (Biostatistics)

Master of Public Health

University of Nebraska Medical Center

  • Course Delivery
    Fully Online
  • Total Credits
    42
  • In-State Tuition Per Credit
    $580.00
  • Out of State Tuition Per Credit
    $580.00

Earn your degree from the University of Nebraska Medical Center

Get the same diploma as on campus students

The online Master of Public Health (MPH) with a concentration in Biostatistics degree program is designed to meet the needs of those individuals who work in public health and desire to broaden their training by learning the statistical and quantitative evaluation of public health research and programs.

Through the Public Health, MPH (Biostatistics) program, students:

  • Conceptualize and define a public health problem in multidimensional terms
  • Develop an appropriate study design, to plan and implement proper statistical analyses
  • Interpret and report the results of the study
  • Gain basic biostastical and quantitative skills and knowledge
  • Apply biostastical sciences while working with investigators in the process of research studies
  • Learn innovative advances made in biostastical methods while also learning the theory and application of biostatistics

Students who pursue this degree have a strong interest in analyzing and processing information, forecasting scenarios and drawing conclusions using analytic software and methods.

Career Outlook: Biostaticians study a blend of applied statistics and biology in order to forecast and analyze clinical trains and research health-related data. In any of these career fields, a professionals research many focus on analyzing the effectiveness of a new drug, risk factors for different illnesses, planning healthcare interventions, explaining biological phenomena and much more. The U.S. Bureau of Labor Statistics predicts the need for statisticians to grow 34% between 2014-2024, faster than other occupations.

Career paths may include academia, government agencies, pharmaceutical companies and anywhere experts are needed for data management and statistical analysis. 

Potential career paths for graduates of this online program include: 

  • Pharmaceutical and clinical trials
  • Engineering and computer science
  • Data management
  • Academia
  • Government agencies such as the Center for Disease Control and Prevention, state health departments, etc.
  • Anywhere experts on data management and statistical analysis are needed


University of Nebraska Medical Center College of Public Health is accredited by the Council on Education for Public Health in addition to Higher Learning Commission accreditation

University of Nebraska online courses are taught by expert faculty who embody the qualities resulting from research experience and professional/field experience. Students learn from faculty with a variety of backgrounds, many of whom are published researchers in their fields. NU faculty who teach online do so in a way that enables maximum learning and because technology provides students with maximum access to education.

To be accepted to this program, you must have:

  1. A bachelor's degree

    You must have 3.0 or higher grade point average for the last 60 undergraduate or the last 18 graduate/post-baccalaureate credit hours completed. You must have received the equivalent of a grade of B or better in each of the following: college-level statistics course, differential calculus, and integral calculus.

  2. 3.00 GPA or above on a 4.0 scale

  3. Taken the GRE

  4. Taken the TOEFL

    (Only required if English is not your native language)

  5. A written personal statement

  6. 3 letters of recommendation

  7. Official transcripts from all previous schools

NOTE: If you reside in state(s) KY and NC, please contact a program adviser before applying.

To apply to this program:

  • Complete the online application. Use "School Designation" section in online application to select program and area of concentration you wish to apply
  • Submit application fee
Apply Now

Application Deadlines

Fall Semester
July 1
Spring Semester
August 1

Core Courses

Course NumberCourse NameCredits
CPH 500Foundations of Public Health3

Course Number: CPH 500

This is an introductory survey course, which will ensure that all public health students, within their first full year of study, are exposed to the fundamental concepts and theories that provide the basis for the body of knowledge in the field of public health. This course will prepare students to work in public health with a sound theoretical, conceptual, and historical basis for their work.

CPH 504Epidemiology in Public Health3

Course Number: CPH 504

The objective of the course is to understand the application of survey and research methodology in epidemiology, especially in the community setting. Theoretical aspects will be taught as an integral part of understanding the techniques of study design and community survey. Concepts to be covered include measure of disease occurrence, measures of disease risk, study design, assessment of alternative explanations for data-based findings, and methods of testing or limiting alternatives. Students will be expected to address an epidemiological question of interest to them, first developing the hypothesis and conducting a literature search, then developing a study design and writing, in several stages, a brief proposal for the study.

CPH 506Biostatistics I3

Course Number: CPH 506

This course is designed to prepare the graduate student to understand and apply biostatistical methods needed in the design and analysis of biomedical and public health investigations. The major topics to be covered include types of data, descriptive statistics and plots, theoretical distributions, probability, estimation, hypothesis testing, and one-way analysis of variance. A brief introduction to correlation and univariate linear regression will also be given. The course is intended for graduate students and health professionals interested in the design and analysis of biomedical or public health studies.

CPH 514Planning and Evaluation3

Course Number: CPH 514

Description to come

CPH 517Design of Medical Studies3

Course Number: CPH 517

This course is designed to prepare the graduate student to understand and apply principles and methods in the design of biomedical and public health studies, with a particular emphasis on randomized, controlled clinical trials. The major design topics to be covered include sample selection, selecting a comparison group, eliminating bias, need for and processes of randomization, reducing variability, choosing endpoints, intent-to-treat analyses, sample size justification, adherence issues, longitudinal follow-up, interim monitoring, research ethics and non-inferiority and equivalence hypotheses. Data collection and measurement issues also will be discussed. Communication of design approaches and interpretation of subsequent analysis results also will be stressed. Concepts will be explored through critical review of the biomedical and public health literature, class exercises and a research proposal. The course is intended for graduate students and health professionals interested in the design of biomedical or public health studies. Prerequisite: Biostatistics I, BIOS 806/CPH506 or an equivalent introductory statistics course, and instructor permission.

CPH 528Service Learning for MPH3

Course Number: CPH 528

A community-based experience, designed to provide students with firsthand, scholarly, supervised experience in a practice setting. This experience augments the academic course work, meets actual community needs and provides students with an opportunity to integrate and apply/test knowledge, principles and skills acquired through classroom instruction. Students will demonstrate mastery of public health principles, values and practice. Prerequisite: CPH 505 Applied Research in Public Health, CPH 517 Design of Medical Health Studies. Students must complete all core and concentration area courses, be within 12 hours of graduation (including the 6 hours of service learning/capstone experience), and be in good academic standing to start the Service-Learning/Capstone Experience (SL/CE).

CPH 529Capstone Experience3

Course Number: CPH 529

A community-based experience, designed to provide students with firsthand, scholarly, supervised experience in a practice setting. This experience augments the academic course work, meets actual community needs, and provides students with an opportunity to integrate and apply/test knowledge, principles and skills acquired through classroom instruction. Students will demonstrate mastery of public health principles, values and practice. Prerequisite: CPH 505 Applied Research in Public Health, CPH 517 Design of Medical Health Studies.

CPH 539Public Health: Leadership and Advocacy3

Course Number: CPH 539

This course incorporates public health leadership theory and practices, which are grounded in biomedical and social science and sanctioned by public law. Politics of communities and organizations is also included. Advocacy is emphasized as a key tool to secure funding and to help assure that local, state, and federal policy makers will adopt, implement, and maintain important public health regulations, policies and programs.

CPH 651Introduction to SAS Programming3

Course Number: CPH 651

This course is an introduction to programming for statistical and epidemiologic analysis using the SAS Software System. Students will learn to access data from a variety of sources (e.g., the web, Excel, SPSS, data entry) and create SAS datasets. Data management and data processing skills, including concatenation, merging and sub-setting data, as well as data restructuring and new variable construction using arrays and SAS functions will be taught. Descriptive analysis and graphical presentation will be covered. Concepts and programming skills needed for the analysis of case-control studies, cohort studies, surveys, and experimental trials will be stressed. Simple procedures for data verification, data encryption, and quality control of data will be discussed. Accessing data and summary statistics on the web will be explored. Through in-class exercises and homework assignments, students will apply basic informatics techniques to vital statistics and public health databases to describe public health characteristics and to evaluate public health programs or policies. Laboratory exercises, homework assignments, and a final project will be used to reinforce the topics covered in class. The course is intended for graduate students and health professionals interested in learning SAS programming and accessing and analyzing public use datasets from the web. Prerequisite: BIOS 806/CPH 506 or an equivalent introductory statistics course; EPI 821/CPH 621; and instructor permission.

CPH 652Biostatistical Methods II3

Course Number: CPH 652

This course is designed to prepare the graduate student to analyze continuous data and interpret results using methods of linear regression and analysis of variance (ANOVA). The major topics to be covered include simple and multiple linear regression model specification and assumptions, specification of covariates, confounding and interactive factors, model building, transformations, ANOVA model specification and assumptions, analysis of covariance (ANCOVA), multiple comparisons and methods of adjustment, fixed and random effect specification, nested and repeated measures designs and models, and diagnostic methods to assess model assumptions. Interpretation of subsequent analysis results will be stressed. Concepts will be explored through critical review of the biomedical and public health literature, class exercises, an exam and a data analysis project. Statistical analysis software, SAS (SAS Institute Inc., Cary, NC, USA.), will be used to implement analysis methods. The course is intended for graduate students and health professionals who will be actively involved in the analysis and interpretation of biomedical research or public health studies. Prerequisite: Instructor permission; calculus (including differential and integral calculus); BIOS 806/CPH 506 Biostatistics I or an equivalent statistics course; BIOS 810/CPH 651 Introduction to SAS Programming, or equivalent experience with SAS programming.

CPH 653Categorical Data Analysis3

Course Number: CPH 653

The course teaches the basic methods of statistical survival analysis used in clinical and public health research. The major topics to be covered include the Kaplan-Meier product-limit estimation, log-rank and related tests and the Cox proportional hazards regression model. Interpretation of subsequent analysis results will be stressed. Prerequisite: Instructor permission; calculus (including differential and integral calculus); BIOS 806/CPH 506 Biostatistics I or BIOS 816/CPH 516 Biostatistical Methods I or an equivalent statistics course; BIOS 810/CPH 651 Introduction to SAS Programming, or equivalent experience with SAS programming.

CPH 654Survival Data Analysis3

Course Number: CPH 654

The course teaches the basic methods of statistical survival analysis used in clinical and public health research. The major topics to be covered include the Kaplan-Meier product-limit estimation, log-rank and related tests, and the Cox proportional hazards regression model. Interpretation of subsequent analysis results will be stressed. Prerequisite: Instructor permission; calculus (including differential and integral calculus); BIOS 806/CPH 506 Biostatistics I or BIOS 816/CPH 516 Biostatistical Methods I or an equivalent statistics course; BIOS 810/CPH 651 Introduction to SAS Programming or equivalent experience with SAS programming.

CPH 655Correlated Data Analysis3

Course Number: CPH 655

This course surveys the theory and methods for the analysis of correlated, continuous, binary and count data. The major topics to be covered include linear models for longitudinal continuous data, generalized estimating equations, generalized linear mixed models, impact of missing data and design of longitudinal and clustered studies. Interpretation of subsequent analysis results will be stressed. Concepts will be explored through critical review of the biomedical and public health literature, class exercises, two exams and a data analysis project. Computations will be illustrated using SAS statistical software (SAS Institute Inc., Cary, NC, USA.). The course is intended for graduate students and health professionals who will be actively involved in the analysis and interpretation of biomedical research or public health studies.

Elective Courses

Course NumberCourse NameCredits
Elective Requirements3

Course Number:

Elective credits are selected in consultation with a student's academic advisor and allow the student to gain further knowledge and skills in areas of interest to the student.

Cost for Nebraska Residents

  • Per Credit Hour

  • Tuition: $580.00
  • Fees: $71.25
  • Total: $651.25
  • 3 Credit Hours

  • Tuition: $1740.00
  • Fees: $213.75
  • Total: $1953.75

Cost for Out of State Residents

  • Per Credit Hour

  • Tuition: $580.00
  • Fees: $71.25
  • Total: $651.25
  • 3 Credit Hours

  • Tuition: $1740.00
  • Fees: $213.75
  • Total: $1953.75
Note: In addition to the per credit hour fees outlined above, the College of Public Health charges a $150 Technology Fee each semester a student is enrolled.

Questions about tuition? We can help.

What's it like to take a program online?

  • Quality learning experience

    The University of Nebraska has offered distance education courses for more than 100 years so you can expect a quality, rigorous experience. Online courses are often highly interactive with faculty and students communicating through e-mail, discussion forums and chat groups. You’ll have direct access to world-class faculty – researchers who are experts in their fields or practitioners with real-world experience. Also, you’ll be part of a community of learners and can benefit from the perspectives of students from across the globe.

  • Flexibility

    Online learning gives you the flexibility and freedom to attend your classes wherever is convenient to you. You can save time and money by being able to continue to work and by avoiding relocation or travel costs. You will be required to complete assignments in a certain timeframe, but in most instances, you can log in and complete coursework during the time of day that works best for you. You aren’t tied to a specific class time.

  • Service you expect from a leading University

    Online learners at the University of Nebraska have access to the same student services available to on-campus students. An academic adviser will guide you along your journey, library services are available to help you excel in your program and career services are available when you are ready to take your next step. These are just a few of the services in place to help you succeed.

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