A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- Masters
- Credential class
- ceterms:MasterDegree
- Catalog edition
- Rensselaer Catalog 2026-2027
- Checklist type
- degree-program
- Description
- Master of Engineering in Biomedical Engineering Data Science is a non-thesis post-bachelor’s degree program intended for those who wish to pursue a career in biomedical engineering in the area of image analysis and processing, in planning pre-clinical and clinical trials and analyzing associated data or engage in advanced research that require data science skills upon graduation. The program is designed to cover a broad range of data science techniques related to biostatistics, advanced multivariate statistics, machine learning and artificial intelligence. Besides offering a solid foundation of data science techniques, the program also allows to specialize in application-specific areas such as economics, big data policies, molecular modeling, as well as data and society. To underpin the practical nature of this M.Eng. program, a four credit data science project is offered to apply the skills learned in the classroom to a biomedical engineering challenge. Please note: Courses that have previously been taken for another degree, cannot be used for this degree . Instead, the requirement for taking the course is waived and students need to take additional data science elective courses to reach 30 credits used for this degree.
Identifiers
- IPEDS UNITID
- 194824
- CourseShelf checklist
- CK_194824_e2e04eac
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Core Program Courses
6 items
- BMED 4500Advanced Systems PhysiologyNot resolved to a course4
- BMED 6420Engineering Mathematics for Data ScienceNot resolved to a course3
- BMED 6470Biostatistics for Life ScienceNot resolved to a course3
- BMED 6480Biomedical Data ScienceNot resolved to a course4
- BMED 6490Artificial Intelligence for Biomedical ApplicationsNot resolved to a course3
- BMED 6980(Data Science Project or additional Data Science Elective*) Credit Hours 4 This will round out to the 30 credits.Not resolved to a course4
Elective Courses
29 items
- BIOL 6410Sequence AnalysisNot resolved to a course4
- BIOL 6420Molecular ModelingNot resolved to a course4
- BMED 6460Biological Imaging AnalysisNot resolved to a course3
- CSCI 6100Machine Learning from DataNot resolved to a course4
- CSCI 6350Data ScienceNot resolved to a course3
- ECON 6030Data Analysis in Economics and FinanceNot resolved to a course3
- ECON 6040Advanced Data Analytics and Policy EvaluationNot resolved to a course3
- ECON 6730Econometrics INot resolved to a course3
- ECON 6740Econometrics IINot resolved to a course3
- ECON 6750Economic Data Analytics and Modeling INot resolved to a course3
- ECON 6760Economic Data Analytics and Modeling IINot resolved to a course3
- ECSE 6510Introduction to Stochastic Signals and SystemsNot resolved to a course3
- ECSE 6520Detection and Estimation TheoryNot resolved to a course3
- ECSE 6530Information Theory and CodingNot resolved to a course3
- ECSE 6610Pattern RecognitionNot resolved to a course3
- ECSE 6620Computer Vision for Visual EffectsNot resolved to a course3
- ECSE 6650Computer VisionNot resolved to a course3
- ECSE 6850Introduction to Deep LearningNot resolved to a course3
- ISYE 6010Applied Regression AnalysisNot resolved to a course3
- ISYE 6100Time Series AnalysisNot resolved to a course3
- ISYE 6020Design of ExperimentsNot resolved to a course3
- ITWS 6380Data and SocietyNot resolved to a course4
- ITWS 6440Big Data PolicyNot resolved to a course3
- MANE 6240Introduction to Neural NetworksNot resolved to a course3
- MGMT 6100Foundations of Data ScienceNot resolved to a course3
- MGMT 6140Managing Digitization and TransformationNot resolved to a course3
- MGMT 6560Introduction to Machine Learning ApplicationsNot resolved to a course3
- MGMT 6570Advanced Data Resource ManagementNot resolved to a course3
- MGMT 6600Data AnalyticsNot resolved to a course3
Source. Rensselaer Polytechnic Institute, catalog Rensselaer Catalog 2026-2027 — https://catalog.rpi.edu/preview_program.php?catoid=34&poid=10214&returnto=938. Captured page pages/0186.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.