Request Information

Download the certificate guide for details on admission requirements, tuition, and courses.

This field is for validation purposes and should be left unchanged.

UW-Green Bay
UW–Madison
UW–Oshkosh
UW-Parkside
UW-Platteville
UW-Stevens Point
UW–Whitewater

Make the connection between the life sciences and data science.

Learn how to process biological data from scientific research, such as large-scale genomics and other molecular and biological datasets, using computation and analysis tools. In the Applied Bioinformatics Graduate Certificate you’ll gain proficiency in applied statistics, machine learning, data visualization, programming, and other techniques that aid in scientific discovery.

Bioinformatics represents the marriage of science and computing. Our capacity to generate large amounts of data is greater than ever, and the ability to organize and access that information blazes a trail to discovery. —Mark E. Levenstein, Academic Director, MS in Applied Biotechnology, UW-Platteville

Who Should Apply?

The Applied Bioinformatics Graduate Certificate is designed for those currently working in biotechnology and related settings, or healthcare and other data science occupations, who are seeking career advancement.

Courses are completed entirely online, in asynchronous format, with zero on-campus, virtual, or in-person meeting requirements, an ideal format for busy professionals. You can watch lectures, participate in online forums with your classmates, and although assignments have deadlines, you can do homework whenever it’s convenient for you—all course content is accessible online from any device. Learn more about online learning with UW Extended Campus.

UW System Collaboration

The Applied Bioinformatics Graduate Certificate is offered through the Master of Science in Applied Biotechnology. This certificate program is a partnership of UW Extended Campus and UW-Green Bay, UW-Madison, UW-Oshkosh, UW-Parkside, UW-Platteville, UW-Stevens Point, and UW-Whitewater.

University Accreditation

Whether online or on campus, University of Wisconsin programs have a reputation for delivering world-class education and student support. Accreditation is your assurance that you will graduate with skills that are relevant to your field and valued by employers.

The Applied Bioinformatics Graduate Certificate is approved by the University of Wisconsin Board of Regents and is fully accredited by the Higher Learning Commission.

Program Membership

The Applied Biotechnology program is a member of:

To be eligible for the Applied Bioinformatics Graduate Certificate, students must meet the following requirements:

  • Bachelor’s degree from an accredited university (min. 3.0 GPA),
  • Prerequisite coursework: One semester college-level biology with lab.

You will also need to submit the following application materials:

  • Official college transcripts,
  • Your resume,
  • Two letters of recommendation (can be professional or academic),
  • A personal statement of up to 1,000 words describing your motivation to pursue this certificate.

If you are a degree-seeking student in the Master of Science in Applied Biotechnology, and are interested in earning the certificate as an additional credential, you must declare your interest with your academic advisor at your home campus. You do not need to submit an application.

International Guidelines

This program welcomes online students from around the world. Online students do not qualify for an F-1 Student Visa to travel to the U.S., but instead can participate in our online courses remotely. If your native language is not English and/or you attended school outside of the U.S., you will likely need to provide proof of English language proficiency and an official translation or evaluation of academic transcripts. Requirements will vary based on a student’s academic history and home campus policies. For guidance about these requirements and how they apply to your specific situation, contact your preferred home campus admissions office.

If you would like to apply as an International Student for an on-campus program in the UW System please refer to these resources through UW-HELP.

Application Deadline

All application materials need to be completed two weeks prior to the semester start to be considered for admission. If you are applying to UW-Madison, application materials need to be completed six weeks prior to the semester start to be considered for admission.

Starting your application early will ensure you have plenty of time to gather required materials (such as transcripts) and complete the University of Wisconsin System Online Admission Application.

How to Apply

While you are free to apply on your own, many prospective students find it helpful to speak with an enrollment adviser first.

Step 1. Select a home campus from our list of program partners: UW-Green Bay, UW-Madison, UW-Oshkosh, UW-Parkside, UW-Platteville, UW-Stevens Point, and UW-Whitewater. Learn more about our campus partners and choosing a home campus.

Step 2. Apply to your preferred home campus using the University of Wisconsin System Online Admission Application. Please review the application instructions for your preferred home campus below. If you are applying to UW-Madison, you will use the UW-Madison Adult Career and Special Student Services Application.

  • Apply as a “Graduate Non-Degree Applicant”.
    • Select that you’re applying for “A Few Courses” and that you plan to take “Graduate” classes.
    • Then select “UW-Green Bay” as the campus.
    • Choose the “Applied Bioinformatics Certificate”.
  • No application fee. Skip the application fee section (not required for the certificate).
  • Not eligible for financial aid.

  • Apply as a “Graduate Applicant”.
    •  When asked “Are you applying as a degree-seeking student?” select “Yes”, and that you would like to earn a “Graduate Degree”.
    • Then select “UW-Oshkosh” as the campus.
    • Choose the “Certificate in Applied Bioinformatics*”.
  • $56 application fee.
  • Not eligible for financial aid.

  • Apply as a “Graduate Non-Degree Applicant”.
    • Select that you’re applying for “A Few Courses” and that you plan to take “Graduate” classes.
    • Then select “UW-Parkside” as the campus.
    • Choose “Graduate special”.
  • No application fee. Skip the application fee section (not required for the certificate).
  • Not eligible for financial aid.

  • Apply as a “Graduate Non-Degree Applicant”.
    • Select that you’re applying for “A Few Courses” and that you plan to take “Graduate” classes.
    • Then select “UW-Platteville” as the campus.
    • Choose “Online Graduate Special”.
    • Indicate interest in the Graduate Certificate in Applied Bioinformatics in the essay field on the application.
  • No application fee. Skip the application fee section (not required for the certificate).
  • Not eligible for financial aid.

  • Apply as a “Graduate Non-Degree Applicant”.
    • Select that you’re applying for “A Few Courses” and that you plan to take “Graduate” classes.
    • Then select “UW-Stevens Point” as the campus.
    • Choose “Grad Non-Degree Seeking”.
  • No application fee. Skip the application fee section (not required for the certificate).
  • Not eligible for financial aid.

  • Apply as a “Graduate Non-Degree Applicant”.
    • Select that you’re applying for “A Few Courses” and that you plan to take “Graduate” classes.
    • Then select “UW-Whitewater” as the campus.
    • Choose “Non Candidate for Degree”.
  • No application fee. Skip the application fee section (not required for the certificate).
  • Not eligible for financial aid.

Step 3. Send your resume, personal statement, and letters of recommendation; and arrange to have your official college transcripts* (from each institution you attended) sent to the graduate student admissions office of the home campus to which you applied.

*Please request electronic transcripts if this service is offered by your previous school(s). Have the e-transcript sent from your previous school directly to the admissions e-mail address of your chosen home campus. E-transcripts are usually delivered more quickly than physical copies sent by mail.

4 Courses. 12 Credits. 100% Online.

Coursework in the Applied Bioinformatics Graduate Certificate focuses on developing the specialized data science skills required to process and analyze large-scale biological data sets.

Certificate courses are offered during fall and spring semesters in rotation. It is possible to earn your certificate within three semesters; however, based on work and life commitments, you made decide to take longer.

CourseCredits

Principles of descriptive and inferential statistics with applications in biotechnology including experimental design, quantitative data analysis, and bioinformatic evaluation of complex molecular and biological data sets.

ABT 720 course syllabus

3 Credits

Learn diverse strategies for computational analysis of macromolecular data using Python, including sequence alignment, genome annotation, data retrieval, phylogenetic analysis, and molecular evolution. Experiential learning is emphasized; confidence in practical skills is developed through persistent application of course content to projects focused on current problems in bioinformatic research.

ABT 730 course syllabus

3 Credits

Develop competencies that promote efficient analysis of biological data. Learn how to match a research problem with the most effective tools for its completion, balancing the use of existing software and de novo software development. Advanced aspects of Python and R, algorithmics, machine learning, simulations, and effective communication of results are emphasized.

Prerequisites: ABT 720, ABT 730

ABT 780 course syllabus

3 Credits

Explore and apply existing bioinformatic tools, including implementation of pre-coded solutions to data acquisition, wrangling, analysis, visualization, and structural modeling problems. Students will complete a final project that generates a multi-system workflow to solve bioinformatic problems.

Prerequisites: ABT 720, ABT 730

ABT 785 course syllabus

3 Credits

*ABT 720 is a course in the Master of Science in Applied Biotechnology program. ABT 730, ABT 780, and ABT 785 are courses in the Applied Bioinformatics Graduate Certificate only, and are not available as electives or as a separate track in the master’s program. If you are a degree-seeking student in the master’s program earning the certificate as an additional credential, you will be required to complete ABT 730, ABT 780, and ABT 785 in addition to the master’s program curriculum to earn the certificate.

Course availability for the Applied Bioinformatics Graduate Certificate varies each fall, spring, and summer. Course offerings are subject to change due to fluctuating enrollment. If you are a current student, please consult with your campus adviser prior to registration.

Fall 2022

Course Preview Week: August 30 - September 05, 2022
Semester Dates: September 06 - December 16, 2022

CourseCredits

Principles of descriptive and inferential statistics with applications in biotechnology including experimental design, quantitative data analysis, and bioinformatic evaluation of complex molecular and biological data sets.

ABT 720 course syllabus

3 Credits

Learn diverse strategies for computational analysis of macromolecular data using Python, including sequence alignment, genome annotation, data retrieval, phylogenetic analysis, and molecular evolution. Experiential learning is emphasized; confidence in practical skills is developed through persistent application of course content to projects focused on current problems in bioinformatic research.

ABT 730 course syllabus

3 Credits

Explore and apply existing bioinformatic tools, including implementation of pre-coded solutions to data acquisition, wrangling, analysis, visualization, and structural modeling problems. Students will complete a final project that generates a multi-system workflow to solve bioinformatic problems.

Prerequisites: ABT 720, ABT 730

ABT 785 course syllabus

3 Credits

Spring 2023

Request Permission Number

Course Preview Week: January 17 - January 23, 2023
Semester Dates: January 24 - May 05, 2023

CourseCredits

Principles of descriptive and inferential statistics with applications in biotechnology including experimental design, quantitative data analysis, and bioinformatic evaluation of complex molecular and biological data sets.

ABT 720 course syllabus

3 Credits

Develop competencies that promote efficient analysis of biological data. Learn how to match a research problem with the most effective tools for its completion, balancing the use of existing software and de novo software development. Advanced aspects of Python and R, algorithmics, machine learning, simulations, and effective communication of results are emphasized.

Prerequisites: ABT 720, ABT 730

ABT 780 course syllabus

3 Credits

Summer 2023

Registration Opens: March 13, 2023
Course Preview Week: May 23 - May 29, 2023
Semester Dates: May 30 - August 11, 2023

CourseCredits

Principles of descriptive and inferential statistics with applications in biotechnology including experimental design, quantitative data analysis, and bioinformatic evaluation of complex molecular and biological data sets.

ABT 720 course syllabus

3 Credits

*ABT 720 is a course in the Master of Science in Applied Biotechnology program. ABT 730, ABT 780, and ABT 785 are courses in the Applied Bioinformatics Graduate Certificate only, and are not available as electives or as a separate track in the master’s program. If you are a degree-seeking student in the master’s program earning the certificate as an additional credential, you will be required to complete ABT 730, ABT 780, and ABT 785 in addition to the master’s program curriculum to earn the certificate.

Students completing the Applied Bioinformatics Graduate Certificate will be able to:

  • Identify problems in biotechnology research that can be solved using existing software tools and algorithms.
  • Wrangle, visualize, and annotate sequence data gathered from public databases and high-throughput sequencing projects.
  • Fit applicable models to cleaned data and critically evaluate their performance.
  • Implement a range of statistical and computational methods in Python, R, and UNIX-shell scripting while managing version control with GitHub.
  • Generate multi-system workflows and data-processing pipelines to manage large-scale projects.
  • Effectively present methodologies and analytical results to project stakeholders.

Tuition is a flat fee of $850 per credit whether you live in Wisconsin or out of state, and financial aid is available for students who qualify.

There are no additional course or program fees*, however, textbooks are purchased separately and are not included in tuition. You will not pay segregated fees (fees in addition to tuition that cover the cost of student-organized activities, facility maintenance, and operations) and you will not be charged a technology fee. If software or special technology is required in one of your courses, it will be provided to you and is included in your tuition.

*Please note UW-Madison charges an “official document fee”, in addition to application, tuition, and graduation fees.

Students enrolling in certificate programs may be eligible for financial aid. Refer to your home campus for more information.