The current explosion of biomedical data provides an awesome opportunity to improve understanding of the mechanisms of disease and ultimately to improve human health care. However, fully harnessing the power of high-dimensional, heterogeneous data requires a new blend of skills including programming, data management, data analysis, and machine learning.
The MS degree program in biomedical data science covers core concepts and allows for concentrated coursework, in both methodology and application.
Admissions
Please consult the table below for key information about this degree program’s admissions requirements. The program may have more detailed admissions requirements, which can be found below the table or on the program’s website.
Graduate admissions is a two-step process between academic programs and the Graduate School. Applicants must meet the minimum requirements of the Graduate School as well as the program(s). Once you have researched the graduate program(s) you are interested in, apply online.
| Fall Deadline | December 15 |
| Spring Deadline | The program does not admit in the spring. |
| Summer Deadline | The program does not admit in the summer. |
| GRE (Graduate Record Examinations) | Not required. |
| English Proficiency Test | Every applicant whose native language is not English, or whose undergraduate instruction was not exclusively in English, must provide an English proficiency test score earned within two years of the anticipated term of enrollment. Refer to the Graduate School: Minimum Requirements for Admission policy: https://policy.wisc.edu/library/UW-1241. |
| Other Test(s) (e.g., GMAT, MCAT) | n/a |
| Letters of Recommendation Required | 3 |
Applicants include both those with bachelor’s degrees in an area of data-science (e.g., computer science, statistics), as well as health professionals and clinicians (e.g., MD's, PharmD's, RN's). It is expected that admitted applicants will have demonstrated an aptitude for computer science and math, fundamental programming skills, knowledge of data structures and algorithms, and at least two semesters of college calculus. The program will consider applicants who have a wide range of undergraduate backgrounds; providing opportunities to develop necessary skills immediately upon entering the program.
Applying to the Program
- A formal online application with required fee through the UW–Madison Graduate School
- Three letters of recommendation
- Unofficial transcripts from each higher-education institution attended
- A statement of purpose
- International degree-seeking applicants must prove English proficiency
- Evidence of quantitative preparation, including at least two semesters of college calculus (similar to MATH 221 - MATH 222 ) and either a course in linear algebra (similar to COMP SCI 200 -COMP SCI 300) or courses in programming and data structures
For additional information about admission to the program, see MS Program in Biomedical Data Science on the department website.
Funding
Graduate School Resources
Resources to help you afford graduate study might include assistantships, fellowships, traineeships, and financial aid. Further funding information is available from the Graduate School. Be sure to check with your program for individual policies and restrictions related to funding.
Program Resources
Funding guarantees are not provided for students in this program. Students are encouraged to explore funding options available across campus.
Minimum Graduate School Requirements
Review the Graduate School minimum academic progress and degree requirements, in addition to the program requirements listed below.
Major Requirements
Mode of Instruction
| Face to Face | Evening/Weekend | Online | Hybrid | Accelerated |
|---|---|---|---|---|
| Yes | No | No | No | No |
Mode of Instruction Definitions
Accelerated: Accelerated programs are offered at a fast pace that condenses the time to completion. Students typically take enough credits aimed at completing the program in a year or two.
Evening/Weekend: Courses meet on the UW–Madison campus only in evenings and/or on weekends to accommodate typical business schedules. Students have the advantages of face-to-face courses with the flexibility to keep work and other life commitments.
Face-to-Face: Courses typically meet during weekdays on the UW-Madison Campus.
Hybrid: These programs combine face-to-face and online learning formats. Contact the program for more specific information.
Online: These programs are offered 100% online. Some programs may require an on-campus orientation or residency experience, but the courses will be facilitated in an online format.
Curricular Requirements
| Minimum Credit Requirement | 30 credits |
| Minimum Residence Credit Requirement | 16 credits |
| Minimum Graduate Coursework Requirement | 15 credits must be graduate-level coursework. Refer to the Graduate School: Minimum Graduate Coursework (50%) Requirement policy: https://policy.wisc.edu/library/UW-1244. |
| Overall Graduate GPA Requirement | 3.00 GPA required. Refer to the Graduate School: Grade Point Average (GPA) Requirement policy: https://policy.wisc.edu/library/UW-1203. |
| Other Grade Requirements | Students must earn a B or above in all core curriculum coursework. |
| Assessments and Examinations | No formal examination required. |
| Language Requirements | No language requirements. |
Required Courses
| Code | Title | Credits |
|---|---|---|
| Concentration Electives | 12 | |
| In consultation with their faculty advisor, students will select electives in an area of concentration within biomedical data science. Examples include but are not limited to: | ||
| Decision Making in Health Care | ||
| Introduction to Biostatistics | ||
| Introduction to Biostatistics for Population Health | ||
| Statistical Methods for Bioscience I | ||
| Regression Methods for Population Health | ||
| Medical Image Analysis | ||
| Statistical Methods for Bioscience II | ||
| Foundations of Data-Driven Healthcare | ||
| Introduction to Bioinformatics | ||
| Mathematical Methods for Systems Biology | ||
| Health Information Systems | ||
| Statistical Methods for Clinical Trials | ||
| Statistical Methods for Epidemiology | ||
| Advanced Regression Methods for Population Health | ||
| Survival Analysis Theory and Methods | ||
| Computational Methods for Medical Image Analysis | ||
| Statistical Methods for Medical Image Analysis | ||
| Clinical Research Informatics | ||
| Computational Network Biology | ||
| Advanced Bioinformatics | ||
| Statistical Methods for Molecular Biology | ||
| Data Science Electives | 12 | |
| In consultation with their faculty advisor, students will select electives in computer science and/or statistics. Examples include but are not limited to: | ||
| Mathematical Statistics I | ||
| Introduction to Statistical Inference | ||
| Professional Skills in Data Science | ||
| Statistical Computing | ||
| Theory and Application of Regression and Analysis of Variance I | ||
| Theory and Application of Regression and Analysis of Variance II | ||
| Computer Vision | ||
| Introduction to Optimization | ||
| Matrix Methods in Machine Learning | ||
| Building User Interfaces | ||
| Nonlinear Optimization I | ||
| Big Data Systems | ||
| Advanced Deep Learning | ||
| Data Visualization | ||
| Foundations of Data Management | ||
| Database Management Systems: Design and Implementation | ||
| Topics in Database Management Systems | ||
| Introduction to Human-Computer Interaction | ||
| Human-Computer Interaction | ||
| Introduction to Artificial Intelligence | ||
| Machine Learning | ||
| Mathematical Foundations of Machine Learning | ||
| Advanced Natural Language Processing | ||
| Introduction to Combinatorial Optimization | ||
| Linear Optimization | ||
| Introduction to Information Security | ||
| Research Ethics Course | 1-2 | |
| Ethics for Data Scientists | ||
| Ethics in Science | ||
| Advanced Topics (Topic: Responsible Conduct of Research) | ||
| Ethics and the Responsible Conduct of Research | ||
SURG SCI 812 | ||
| Responsible Conduct of Research for Biomedical Graduate Students | ||
| Advanced Responsible Conduct of Research for Biomedical Students | ||
| Professional Development Elective | 1 | |
| Becoming a Biomedical Data Scientist | ||
| Research | 4 | |
| Independent Study | ||
| Total Credits | 30 | |
Electives
Between the Concentration Electives and Data Science Electives, students must complete at least 6 credits of computer sciences-oriented courses and 6 credits of statistics-oriented courses. Computer sciences-oriented courses include those in the Department of Computer Sciences course listing (COMP SCI). Statistics-oriented courses include those in the Department of Statistics course listing (STAT), in addition to B M I/POP HLTH 552 Regression Methods for Population Health and B M I/POP HLTH 651 Advanced Regression Methods for Population Health . A specific section of B M I 826 Special Topics in Biostatistics and Biomedical Informatics can satisfy as either a computer sciences-oriented course or a statistics-oriented course at the discretion of the MS Program Steering Committee.
Graduate School Policies
The Graduate School’s Academic Policies and Procedures provide essential information regarding general university policies. Program authority to set degree policies beyond the minimum required by the Graduate School lies with the degree program faculty. Policies set by the academic degree program can be found below.
Major-Specific Policies
Prior Coursework
Graduate Credits Earned at Other Institutions
With program approval, students are allowed to transfer no more than 9 credits of graduate coursework from other institutions. Coursework earned ten or more years prior to admission to a master's degree is not allowed to satisfy requirements.
Undergraduate Credits Earned at Other Institutions or UW-Madison
Refer to the Graduate School: Transfer Credits for Prior Coursework policy.
Credits Earned as a Professional Student at UW-Madison (Law, Medicine, Pharmacy, and Veterinary careers)
Refer to the Graduate School: Transfer Credits for Prior Coursework policy.
Credits Earned as a University Special Student at UW–Madison
With program approval, students are allowed to transfer no more than 9 credits of course work numbered 300 or above taken as a UW–Madison University Special student. Coursework earned ten or more years prior to admission to a master's degree is not allowed to satisfy requirements.
Probation
Refer to the Graduate School: Probation policy.
Advisor / Committee
All students are required to conduct a yearly progress report meeting with their advisor, scheduled by December 17 and completed by April 30.
Credits Per Term Allowed
15 credits
Time Limits
Refer to the Graduate School: Time Limits policy.
Grievances and Appeals
These resources may be helpful in addressing your concerns:
- Bias or Hate Reporting
- Graduate Assistantship Policies and Procedures
- Hostile and Intimidating Behavior Policies and Procedures
- Employee Assistance (for personal counseling and workplace consultation around communication and conflict involving graduate assistants and other employees, post-doctoral students, faculty and staff)
- Employee Disability Resource Office (for qualified employees or applicants with disabilities to have equal employment opportunities)
- Graduate School (for informal advice at any level of review and for official appeals of program/departmental or school/college grievance decisions)
- Office of Compliance (for class harassment and discrimination, including sexual harassment and sexual violence)
- Office Student Assistance and Support (OSAS) (for all students to seek grievance assistance and support)
- Office of Student Conduct and Community Standards (for conflicts involving students)
- Ombuds Office for Faculty and Staff (for employed graduate students and post-docs, as well as faculty and staff)
- Title IX (for concerns about discrimination)
Grievance Policy for Graduate Programs in the School of Medicine and Public Health
Any student in a School of Medicine and Public Health graduate program who feels that they have been treated unfairly in regards to educational decisions and/or outcomes or issues specific to the graduate program, including academic standing, progress to degree, professional activities, appropriate advising, and a program’s community standards by a faculty member, staff member, postdoc, or student has the right to complain about the treatment and to receive a prompt hearing of the grievance following these grievance procedures. Any student who discusses, inquiries about, or participates in the grievance procedure may do so openly and shall not be subject to intimidation, discipline, or retaliation because of such activity. Each program’s grievance advisor is listed on the “Research” tab of the SMPH intranet.
Exclusions
This policy does not apply to employment-related issues for Graduate Assistants in TA, PA and/or RA appointments. Graduate Assistants will utilize the Graduate Assistantship Policies and Procedures (GAPP) grievance process to resolve employment-related issues.
This policy does not apply to instances when a graduate student wishes to report research misconduct. For such reports refer to the UW-Madison Policy for Reporting Research Misconduct for Graduate Students and Postdoctoral Research Associates.
Requirements for Programs
The School of Medicine and Public Health Office of Basic Research, Biotechnology and Graduate Studies requires that each graduate program designate a grievance advisor, who should be a tenured faculty member, and will request the name of the grievance advisor annually. The program director will serve as the alternate grievance advisor in the event that the grievance advisor is named in the grievance. The program must notify students of the grievance advisor, including posting the grievance advisor’s name on the program’s Guide page and handbook.
The grievance advisor or program director may be approached for possible grievances of all types. They will spearhead the grievance response process described below for issues specific to the graduate program, including but not limited to academic standing, progress to degree, professional activities, appropriate advising, and a program’s community standards. They will ensure students are advised on reporting procedures for other types of possible grievances and are supported throughout the reporting process. Resources on identifying and reporting other issues have been compiled by the Graduate School.
Procedures
- The student is advised to initiate a written record containing dates, times, persons, and description of activities, and to update this record while completing the procedures described below.
- If the student is comfortable doing so, efforts should be made to resolve complaints informally between individuals before pursuing a formal grievance.
- Should a satisfactory resolution not be achieved, the student should contact the program’s grievance advisor or program director to discuss the complaint. The student may approach the grievance advisor or program director alone or with a UW-Madison faculty or staff member. The grievance advisor or program director should keep a record of contacts with regards to possible grievances. The first attempt is to help the student informally address the complaint prior to pursuing a formal grievance. The student is also encouraged to talk with their faculty advisor regarding concerns or difficulties.
- If the issue is not resolved to the student’s satisfaction, the student may submit a formal grievance to the grievance advisor or program director in writing, within 60 calendar days from the date the grievant first became aware of, or should have become aware of with the exercise of reasonable diligence, the cause of the grievance. To the fullest extent possible, a grievance shall contain a clear and concise statement of the grievance and indicate the issue(s) involved, the relief sought, the date(s) the incident or violation took place, and any specific policy involved.
- On receipt of a written grievance, the following steps will occur. The final step must be completed within 30 business days from the date the grievance was received. The program must store documentation of the grievance for seven years. Significant grievances that set a precedent may be stored indefinitely.
- The grievance advisor or program director will convene a faculty committee composed of at least three members to manage the grievance. Any faculty member involved in the grievance or who feels that they cannot be impartial may not participate in the committee. Committee composition should reflect diverse viewpoints within the program.
- The faculty committee, through the grievance advisor or program director, will obtain a written response from the person or persons toward whom the grievance is directed. The grievance advisor or program director will inform this person that their response will be shared with the student filing the grievance.
- The grievance advisor or program director will share the response with the student filing the grievance.
- The faculty committee will make a decision regarding the grievance. The committee’s review shall be fair, impartial, and timely. The grievance advisor or program director will report on the action taken by the committee in writing to both the student and the person toward whom the grievance was directed.
- If either party (the student or the person or persons toward whom the grievance is directed) is unsatisfied with the decision of the program’s faculty committee, the party may file a written appeal to the SMPH senior associate dean for basic research, biotechnology and graduate studies within 10 business days from the date of notification of the program’s faculty committee. The following steps will occur:
- The grievant will be notified in writing, within 5 business days of the written appeal, acknowledging receipt of the formal appeal and establishing a timeline for the review to be completed.
- The senior associate dean or their designee may request additional materials and/or arrange meetings with the grievant and/or others. If meetings occur, the senior associate dean or their designee will meet with both the grievant and the person or persons toward whom the grievance is directed.
- The senior associate dean or their designee will assemble an ad hoc committee of faculty from outside of the student’s graduate program and ask them to prepare a written recommendation on whether to uphold or reverse the decision of the program on the student’s initial grievance. The committee may request additional materials and/or arrange meetings with the grievant and/or others. If meetings occur, the committee will meet with both the grievant and the person or persons toward whom the grievance is directed.
- The senior associate dean or their designee will make a final decision within 20 business days of receipt of the committee’s recommendation.
- The SMPH Office of Basic Research, Biotechnology, and Graduate Studies must store documentation of the grievance for seven years. Grievances that set a precedent may be stored indefinitely.
- The student may file an appeal of the School of Medicine and Public Health decision with the Graduate School. See the Grievances and Appeals section of the Graduate School’s Academic Policies and Procedures.
Time Limits
Steps in the grievance procedures must be initiated and completed within the designated time periods except when modified by mutual consent. If the student fails to initiate the next step in the grievance procedure within the designated time period, the grievance will be considered resolved by the decision at the last completed step.
Other
Funding guarantees are not provided for students in this program. Students are encouraged to explore funding options available across campus.
Professional Development
Graduate School Resources
Take advantage of the Graduate School's professional development resources to build skills, thrive academically, and launch your career.
Learning Outcomes
- Understand, apply, and evaluate common informatics theories, methods, and tools related to biological and biomedical problems, health care and public health.
- Apply, adapt, and validate an existing approach to a specific biomedical and health problem.
- Produce solutions that address academic or industrial needs using informatics tools and knowledge.
- Evaluate the impact of biomedical informatics applications and interventions.
- Understand the challenges and limitations of technological solutions.
- Demonstrate scholarly oral and written presentations.
- Adhere to the professional and legal standards of conduct in Biomedical Data Science.