Curriculum Structure* YEAR 1 YEAR 2 YEAR 3 YEAR 4 Anchoring courses (18 credits) Foundation courses (36 credits) Common Core (36 credits) Language (18 credits) Capstone course (12 credits) BIOF1001 Introduction to Biomedical Data Science BBMS1003 Perspectives in Biochemistry COMP1117 Computer Programming MATH1013 University Mathematics II MATH2014 Multivariable Calculus and Linear Algebra STAT2601 Probability & Statistics I STAT2602 Probability & Statistics II Disciplinary ‘Data Science Lab’ courses (6 or 12 credits) Disciplinary elective courses (Choose any 3 or 4) (18 or 24 credits) BIOF3002 Genome Sequencing and Analysis BIOF3003 Digital Health BIOF2001 Artificial Intelligence in Medicine BIOF3001 Big Data in Biomedical Informatics BIOF4001 Final Year Project 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. Biomedical Sciences BIOC2600 Basic Biochemistry BIOC3605 Sequence Bioinformatics BBMS2003 Human Genetics BBMS2007 Essential Molecular Biology BBMS2011 Research Methods in Medicine and Health Sciences BBMS3008 Essential Proteomics BBMS3009 Genome Science BBMS4004 Public Health Genetics 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 Bioinformatics specialty courses BIOF3004 Bioinformatics Internship BIOF3005 Structural Bioinformatics BIOF3006 Biomedical Software Systems BIOF4002 Global Health Informatics BIOF4003 Biomedical Image Informatics * Subject to change 07 Bachelor of Science in Bioinformatics
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