Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
PhD
Major
Biomedical Sciences | Health Informatics | Health Information Management
Area of study
Health
Course Language
English
About Program
Program Overview
This doctoral program in Biomedical Data Science offers a flexible curriculum with core topics in biostatistics and computer science, allowing students to specialize in areas such as machine learning, database systems, or clinical informatics. The program emphasizes research ethics, scholarly literature, and professional skills, preparing graduates for careers in academia, industry, or government research.
Program Outline
Outline:
- Core Topics (6-8 credits): Students select one of the following topics:
- Topic 1: Biostatistics Theory and Methods (STAT 609 & STAT 610)
- Topic 2: Biostatistical Methods (STAT 849 & STAT 850)
- Computer Science/Informatics (6-7 credits): Students select one of the following topics:
- Topic 3: Machine Learning / AI (COMP SCI 540 & COMP SCI/E C E 760)
- Topic 4: Database Systems (COMP SCI 564 & COMP SCI 764)
- Topic 5: Optimization (COMP SCI/I SY E/MATH/STAT 525 & COMP SCI/I SY E/MATH/STAT 726)
- Topic 6: Algorithms (COMP SCI 577 & COMP SCI 787)
- Additional Specializations (6-8 credits): Students may select any of the above topics or the following:
- Topic 7: Clinical Informatics (I SY E 417 & B M I/I SY E 617)
- Topic 8: Clinical Biostatistics (B M I/STAT 641 & STAT/B M I 642
- Topic 9: Statistical Computing (STAT 771, STAT/ECON/GEN BUS 775)
- Topic 11: Biomedical Image Analysis (COMP SCI 765, COMP SCI/E C E 766, B M I/COMP SCI 767, B M I/STAT 768)
- Biology Courses (6 credits): Students consult with their advisor to select courses.
- Research Ethics Course (1-2 credits): B M I 738 Ethics for Data Scientists (recommended)
- Second-Year Literature Seminar (4 credits): B M I 881 & B M I 882 Biomedical Data Science Scholarly Literature 1 and 2
- Third-Year Professional Skills Seminar (4 credits): B M I 883 & B M I 884 Biomedical Data Science Professional Skills 1 and 2
- Electives (6 credits): Selected in consultation with the student's faculty advisor.
- Pre-Dissertator Research (6 credits): Three semester-long research rotations (2 credits of B M I 899 Pre-dissertator Research per semester) concerning a substantive problem in biomedical data science.
Assessment:
- Students must complete an Oral Preliminary Exam, ideally taken in the students' third year.
- Doctoral candidates should maintain a 3.0 GPA in all core curriculum courses and may not have any more than two Incompletes on their record at any one time.
Careers:
- Program graduates are prepared for careers in academia, industry, or government research
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About University
University of Wisconsin–Madison
Overview:
University of Wisconsin–Madison is a public research university located in Madison, Wisconsin. It is known for its strong academic programs, extensive research enterprise, and vibrant campus life. The university is guided by the Wisconsin Idea, a philosophy that emphasizes the importance of using knowledge to improve the lives of people beyond the campus.
Services Offered:
The university offers a wide range of services to students, including:
Academic Support:
Academic advising, tutoring, writing centers, and career services.Student Life:
Student organizations, recreational facilities, cultural events, and health services.Technology:
Access to computer labs, online resources, and software.Housing:
On-campus residence halls and off-campus housing options.Financial Aid:
Scholarships, grants, loans, and work-study programs.Student Life and Campus Experience:
Students at UW–Madison can expect a vibrant and engaging campus experience. The university boasts a diverse student body, a wide range of student organizations, and a lively social scene. The city of Madison offers a variety of cultural attractions, restaurants, and entertainment options.
Key Reasons to Study There:
Strong Academic Programs:
UW–Madison is home to a wide range of academic programs, including highly ranked programs in engineering, business, medicine, and the humanities.Research Opportunities:
The university is a leading research institution, offering students opportunities to participate in groundbreaking research projects.Wisconsin Idea:
The university's commitment to public service provides students with opportunities to make a positive impact on the world.Vibrant Campus Life:
UW–Madison offers a lively and engaging campus experience with a diverse student body, a wide range of student organizations, and a variety of cultural events.Location:
Madison is a beautiful and vibrant city with a strong sense of community.Academic Programs:
UW–Madison offers a wide range of undergraduate and graduate programs across various disciplines, including:
Engineering:
The College of Engineering is highly ranked and offers programs in areas such as computer science, electrical engineering, and mechanical engineering.Business:
The Wisconsin School of Business is known for its strong programs in finance, marketing, and entrepreneurship.Medicine:
The School of Medicine and Public Health is a leading institution in medical research and education.Humanities:
The university offers a wide range of programs in the humanities, including English, history, philosophy, and art history.Other:
Athletics:
UW–Madison is a member of the Big Ten Conference and has a strong athletic tradition.Alumni Network:
The university has a large and active alumni network, providing students with valuable connections after graduation.Sustainability:
UW–Madison is committed to sustainability and has a number of initiatives to reduce its environmental impact.Total programs
548
Average ranking globally
#20
Average ranking in the country
#16
Admission Requirements
Entry Requirements:
- Potential students 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., M.D. 's, Pharm.D. 's, R.N.'s).
- It is expected that admitted candidates 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.
- We will however consider candidates who have a wide range of undergraduate backgrounds; providing opportunities to develop necessary skills immediately upon entering the program.
Language Proficiency Requirements:
- Every applicant whose native language is not English or whose undergraduate instruction was not in English must provide an English proficiency test score and meet the Graduate School minimum requirements.
Location
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