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    MSC1090 Introduction to Computational Biostatistics with R (Fall 2026)

    The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.

    Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.

    Date: Mon., 7 Sep. 2026 - 12:00 am

    Scientific Computing Credits: 8

    Data Science Credits: 28
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