Pre-requisite and Curriculum Overview Table
This table shows the class requirements for the BMI Masters or PhD for stduents who enrolled in Aut 2007 or afterwards. Students who enrolled prior to Aut 2007 may switch to these guidelines with the advice of their academic advisor.
| Biomedical Informatics (BMI) |
Probability, Statistics and Decision Science |
Computer Science |
Biomedical Domain Knowledge |
Social and Ethical Issues |
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Prerequisites in BMI are not required for entry into the graduate program |
The following math courses are required for entry into the graduate program: Calculus at the level of Math 51, 52, or 53 (at least two), AND Stats 60- precalculus statistics. Linear Algebra at the level of Math 103, 113 or HRP 259 is highly recommended. A course in applied math is recommended. |
Computer Science at the level of 106 A, B is a prerequisite
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Biological Sciences 41, 42, 43 and 44 X,Y (Molecular Biology and laboratory) are prereqs |
Prerequisites in Social Policy and Ethics are not required for entry |
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17 units BMI required. These may not include Biomedin 200, 201,202, 204, 299, 302, or 303 200 & 201 are required but do not count towards the 17 units |
Choose 3 classes spanning the following 5 categories for a minimum of 9 units : Probability, Statistics, Decision Analysis, Machine Learning, Experimental Design Techniques. You may take any combination of categories, i.e., 3 stats classes, OR 1 stat, 1 prob, 1 decision science, OR 1 stat, 2 prob, etc... Consult with your academic advisor about appropriate classes in Machine Learning or Experimental Design Techniques. |
9 units required: except for CS 108, classes must be 137 or higher to count toward the requirements | 6 units are required (corrected 12/12/07) | Med255 is required Plus an additional, 3 units are required
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| Biomedin 210 Intro to Biomedical Informatics: Fundamental Methods is required | Probability Choices | Bayesian Statistics Choices | Decision Analysis Choices
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CS 121 or 221 Artificial Intelligence is required. 221 is preferred. | Imm230 Intro to Medicine is recommended for students w/o health care training | Biomedin 250 Intro to Health Care Systems and Health Policy |
| Biomedin 211 Intro to Biomedical Systems is required | Stat 116 Theory of Probability | Stat 200 Introduction to Statistical Inference | Biomedin 432 Analysis of Costs, Risks and Benefits of Healthcare | CS 161 Design and Analysis of Algorithms is required | Plus other classes as listed in the Stanford Bulletin | Biomedin 432 Analysis of Costs, Risks and Benefits of Healthcare |
| Biomedin 214 Representations and Algorithms for Computational Molecular Biology is required | MS&E 120; MS&E 220 Probabilistic Analysis (graduate students register for 220) | MS&E 221 Stochastic Modeling |
MS&E 152 or 252 Intro to Decision Analysis or Decision Analysis I | Required: a class with significant programming and knowledge of machine architectures; pick one course from the list below | CS 201 Computers, Ethics and Social Responsibility | |
| Biomedin 212 Project Course required | MS&E 355 Influence Diagrams and Probabilistics Networks | Stats 202 Data Analysis | MS&E352 Decision Analysis II |
CS 108 Object-oriented Systems Design | HRP 391 Political Economy of Health Care in the US |
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| Biomedin 217 Translational Bioinformatics required | Or other appropriate class | CS 228 Probabilistic Models in AI | Or other appropriate class | any class from the CS 193 series | Med 255 Responsible Conduct of Research |
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| other elective classes | CS 229 Statistical Learning and Pattern Classification | Plus other classes at the 100 level or above, such as, ... | ||||