YEAR 1 YEAR 2 YEAR 3 YEAR 4 Anchoring courses (18 credits) Curriculum Structure BIOF1001 Introduction to Biomedical Data Science Capstone course (12 credits) BIOF4001 Final Year Project BIOF2001 Artificial Intelligence in Medicine BIOF3001 Big Data in Biomedical Informatics Foundation courses (36 credits) Common Core (36 credits) Language (18 credits) Disciplinary elective courses (Choose any 3 or 4) (18 or 24 credits) BIOC1600 Perspectives in Biochemistry COMP117 Computer Programming MATH1013 University Mathematics II Disciplinary ‘Data Science Lab’ courses (6 or 12 credits) BIOF3002 Genome Sequencing and Data Analysis BIOF3003 Digital Health Biomedical Sciences BIOC2600 Basic Biochemistry BIOC 3605 Sequence Bioinformatics BBMS2003 Human Genetics BBMS2007 Essential Molecular Biology BBMS3008 Essential Proteomics BBMS3009 Genome Science BBMS4004 Public Health Genetics Other electives (90 credits) Students should ideally minor in Biomedical Data Science, Digital Health, Statistics, Computer Science, or one or more of the Biomedical Sciences minors. Selection of other electives from across the University is also possible. Computer Science COMP2113 Programming Technologies COMP2119 Introduction to Data Structures and Algorithms COMP3314 Machine Learning COMP3317 Computer Vision COMP3353 Bioinformatics Statistics STAT3600 Linear Statistical Analysis STAT3612 Statistical Machine Learning STAT4602 Multivariate Data Analysis STAT4609 Big Data Analytics Biomedical Sciences specialty courses BIOF3004 Bioinformatics Internship BIOF3005 Structural Bioinformatics BIOF3006 Biomedical Software Systems BIOF4002 Global Health Informatics BIOF4003 Biomedical Image Informatics MATH2014 Multivariable Calculus and Linear Algebra STATS2601 Probability & Statistics I STAT2602 Probability & Statistics II 7
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