Biomedical Engineering Master of Science Degree

RIT’s biomedical engineering master’s degree produces professionals who can innovate solutions for today’s most pressing health care challenges.


Overview for Biomedical Engineering MS

Why Study RIT’s Biomedical Engineering Master’s Degree


  • STEM-OPT Visa Eligible: The STEM Optional Practical Training (OPT) program allows full-time, on-campus international students on an F-1 student visa to stay and work in the U.S. for up to three years after graduation.

  • Design equipment, devices, and processes such as artificial internal organs and prosthetics, pharmaceutical development and manufacturing processes, and machines for diagnosing medical problems or performing robotic-assisted surgery.

  • Pipeline to graduate study or an immediate gateway to a dynamic biomedical engineering career.

The biomedical engineering master’s degree produces nimble professionals who can leverage the power of technology, design, and engineering to make positive, powerful impacts on human health and patient care.

Biomedical Engineering Is Critical to the Future of Health Care

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Careers and Cooperative Education

Cooperative Education

What makes an RIT education exceptional? It’s the opportunity to complete relevant, hands-on engineering co-ops and internships with top companies in every single industry. At the graduate level, and paired with an advanced degree, cooperative education and internships give you the unparalleled credentials that truly set you apart. Learn more about graduate co-op and how it provides you with the career experience employers look for in their next top hires.

Cooperative education is optional but strongly encouraged for graduate students in the biomedical engineering master’s program.

Featured Work and Profiles

Curriculum for 2024-2025 for Biomedical Engineering MS

Current Students: See Curriculum Requirements

Biomedical Engineering, MS degree, typical source sequence

Course Sem. Cr. Hrs.
First Year
BIME-607 3
This course is a graduate-level introduction to the biodesign process used for innovating medical technologies. Student teams will apply a needs-based assessment strategy to identify opportunities in a biomedical related field such as assistive technologies and rehabilitation engineering. Incorporating CAD will culminate in a virtual medical device prototype. Concepts of intellectual property, regulatory considerations, and reimbursement and business models will be introduced. (This course is restricted to Graduate students.) Lecture 3 (Fall).
Choose one of the following:
3
   BIME-750  
This course will expose student to the basic properties of data collected from biological systems and issues involved in the statistical analysis of such data. Specifically, this course will review the motivations and rationale behind conventional regression models, issues that arise in applying these methods to biological data, and specific extensions of these methods required to obtain meaningful results. Specific examples of these approaches and their application will be given at different levels of biology. The analysis of such problems will require the use of advanced regression techniques directed at resolving the partial confounding that is typical of living (closed loop regulated) systems, applied under statistical software packages (e.g., spreadsheets, graphing, Matlab, SPSS, Simca). (This class is restricted to degree-seeking graduate students or those with permission from instructor.) Lab 3 (Biannual).
   ISEE-760  
This course presents an in-depth study of the primary concepts of experimental design. Its applied approach uses theoretical tools acquired in other mathematics and statistics courses. Emphasis is placed on the role of replication and randomization in experimentation. Numerous designs and design strategies are reviewed and implications on data analysis are discussed. Topics include: consideration of type 1 and type 2 errors in experimentation, sample size determination, completely randomized designs, randomized complete block designs, blocking and confounding in experiments, Latin square and Graeco Latin square designs, general factorial designs, the 2k factorial design system, the 3k factorial design system, fractional factorial designs, Taguchi experimentation. (Prerequisites: ISEE-325 or STAT-257 or MATH-252 or MCEE-205 or STAT-205 or equivalent course or students in ISEE-MS, ENGMGT-MS, or MIE-PHD programs.) Lecture 3 (Spring).
   MATH-655  
This course is an introduction to the probabilistic models and statistical techniques used in the analysis of biological and medical data. Topics include univariate and multivariate summary techniques, one and two sample parametric and nonparametric inference, censoring, one and two way analysis of variance, and multiple and logistic regression analysis. (This class is restricted to graduate students in COS, KGCOE, GCCIS, CHST or CLA.) Lecture 3 (Spring).
   STAT-614  
Statistical tools for modern data analysis can be used across a range of industries to help you guide organizational, societal and scientific advances. This course is designed to provide an introduction to the tools and techniques to accomplish this. Topics covered will include continuous and discrete distributions, descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one-way ANOVA and Chi-square tests. (This class is restricted to degree-seeking graduate students or those with permission from instructor.) Lecture 3 (Fall).
   STAT-670  
How to design and analyze experiments, with an emphasis on applications in engineering and the physical sciences. Topics include the role of statistics in scientific experimentation; general principles of design, including randomization, replication, and blocking; replicated and unreplicated two-level factorial designs; two-level fractional-factorial designs; response surface designs. Lecture 3 (Fall, Spring).
BIME-791 4
This course provides students with a variety of lab experiences across many specialties of biomedical engineering. Experiments emphasize proper data collection and analysis as well as critical reading and scientific writing. (This course is available to RIT degree-seeking graduate students.) Lab 6, Lecture 2 (Fall).
BIME-792 6
This course is used by students in the Biomedical Engineering MS degree program as a capstone experience following completion of BIME 607 Graduate Biodesign. Students will learn and apply advanced Biodesign strategies related to intellectual property, regulatory approval, and potential commercialization, completing a series of modules with specific learning goals. The course will include the design and fabrication of product concepts using rapid prototyping tools. Students completing an internship may use that experience as motivation for their project in this course. Students must work with a faculty advisor who will approve their topic and review their progress throughout the completion of this capstone experience. A written paper and presentation of the work as well as a prototype are required. (Prerequisites: BIME-607 or BIME-608 or equivalent course.) Ind Study 6 (Fall, Spring, Summer).
BCEP-795 2
This seminar course presents topics of contemporary interest to graduate students enrolled in the program. Presentations include off campus speakers, and assistance with progressing on your research. Selected students and faculty may make presentations on current research under way in the department. (This course is available to RIT degree-seeking graduate students.) Lecture 1 (Fall, Spring).
CHME-709 3
The course begins with a pertinent review of linear and nonlinear ordinary differential equations and Laplace transforms and their applications to solving engineering problems. It then continues with an in-depth study of vector calculus, complex analysis/integration, and partial differential equations; and their applications in analyzing and solving a variety of engineering problems. Topics include: ordinary and partial differential equations, Laplace transforms, vector calculus, complex functions/analysis, complex integration. Chemical engineering applications will be discussed throughout the course. (Prerequisites: Graduate standing in Chemical Engineering.) Lecture 3 (Fall).
 
BME Grad Elective
6
 
KGCOE Engineering Elective
3
Total Semester Credit Hours
30

* Students take BCEP-795 twice.

Admissions and Financial Aid

This program is available on-campus only.

Offered Admit Term(s) Application Deadline STEM Designated
Full‑time Fall February 15 priority deadline; rolling thereafter Yes

Full-time study is 9+ semester credit hours. International students requiring a visa to study at the RIT Rochester campus must study full‑time.

Application Details

To be considered for admission to the Biomedical Engineering MS program, candidates must fulfill the following requirements:

English Language Test Scores

International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver.

TOEFL IELTS PTE Academic
88 6.5 60

International students below the minimum requirement may be considered for conditional admission. Each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.

How to Apply Start or Manage Your Application

Cost and Financial Aid

An RIT graduate degree is an investment with lifelong returns. Graduate tuition varies by degree, the number of credits taken per semester, and delivery method. View the general cost of attendance or estimate the cost of your graduate degree.

A combination of sources can help fund your graduate degree. Learn how to fund your degree

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Contact

Admissions Contact
  • Lindsay Lewis
  • Senior Assistant Director
  • Office of Graduate and Part-Time Enrollment Services
  • Enrollment Management
  • 585‑475‑5532
  • lslges@rit.edu
Program Contact
  • Cory Stiehl
  • Senior Lecturer
  • Department of Biomedical Engineering
  • Kate Gleason College of Engineering
  • 585‑475‑2723
  • cksbme@rit.edu