
Educational Paths:
Professional Science Master's (PSM)
Classical MS
Contact:
BMI Graduate Program for information
Apply:
Step-by-Step Application Guide for Fall 2008
Application Deadline:
May 1, 2008 (Preference will be given to applications filed by March 31)
Sample courses in bioinformatics and related topics
The full list of courses can be obtained by contacting the Program Office.
| CS 696 | Methods in Bioinformatics and Medical Informatics |
| BIOL 568 | Bioinformatics |
| BIOL 510 | Molecular Evolution |
| CHEM 560A | General Biochemistry I, II |
| CS 514 | Database Theory and Implementation |
| CS 520 | Advance Programming Languages |
| CS 535 | Object Oriented Programming and Design |
| STAT 550 | Applied Probability |
| STAT 551A | Probability and Mathematical Statistics I |
| STAT 551B | Probability and Mathematical Statistics II |
For more information please contact Professor Faramarz Valafar.
Master's of Science in Bioinformatics and Medical Informatics
Program description: Bioinformatics (we also include Systems Biology here) and Medical Informatics (also called Biomedical, health, or Clinical Informatics) are related multidisciplinary fields that rely on data mining and pattern recognition techniques to discover biological or clinical patterns in large amounts of data. The majority of research and development (R&D) in the two fields can be categorized into one of three branches. The first branch is the algorithm development branch in which R&D specialists use mathematical and engineering techniques (sometimes also approaches from physical sciences) to develop new, more efficient, and/or more accurate methods to mine biological or clinical data. The second branch falls within the software engineering paradigm and primarily focuses on R&D in human-computer interface. Specifically, the branch deals with data visualization and the design of graphical user interface (GUI) that allows the user to easily visualize and interpret the results of the algorithms developed by the first branch. The third branch includes those who work on finding answers to specific biological or medical questions. This includes those working to uncover the underlying mechanisms involved in specific biological systems or specific diseases. This branch also includes much of the work being conducted in the area of Systems Biology. This program offers training for all three branches of the two fields. Students can specialize in their area of interest in the second year of the program, while the first year is individually tailored to primarily fill in the holes in the student.s background required for her/his desired specialization. During the first year, students usually take basic courses within two of the following four disciplines (depending on their background): Biology, Chemistry, Computer Science, and Mathematics/Statistics.
For specialization in the algorithm development branch, students can choose courses and projects in areas such as statistics, data mining, pattern recognition, artificial intelligence, search strategies, network architecture, digital image processing and advance imaging, modeling, decisions systems design, and analytical studies in various biological and clinical specializations. For specialization in the human-computer interface branch, students can choose courses and projects in areas such as principals of software design, human interface design, network architecture, usability studies, database design and management, computer graphics and animation, CAD, and programming languages (especially object oriented programming or OOP). Those who chose specialization in the third branch and wish to conduct targeted study of a specific biological/medical problem may require a mix of courses from the other two branches plus some training in the biology of the chosen problem of study.
This program is multidisciplinary in nature and combines expertise from the areas of Biology, Chemistry, Computer Science, and Mathematics in order to address the growing need for graduates with some level of knowledge of the four domains. Various studies have shown that there is an acute need for such graduates both in the academia as well as in the industry. In the industry, the need for these graduates spreads beyond the Biotech and Health Care sectors, and is felt in sectors such as Homeland Security and Information Technology.
Regional and industrial fit: Because San Diego is a major hub for the biotech industry (the largest in the country), the proposed program is especially well-suited to the region. The purpose of the program is to first serve the growing need of the local industry for graduates who are familiar with leading edge biological and clinical problems and have the skills to apply computing and mathematical techniques to solve them. Because of the high shortage in graduates in the field on a national scale, it is anticipated that some graduates of this program will find employment in other parts of the state or the country. Furthermore, it is also anticipated that a portion of the graduates will chose to continue their education or work in the academia. The program sets the goal of providing graduates for the above four needs.
Target student population: The curriculum of the program is designed to accommodate students from four corners of sciences as well as engineering. The program will accept students with backgrounds in Biology, Chemistry, Computer Science, Mathematics, or Engineering. The first year of the program is designed to fill in the deficiencies in the students' background, while in the second year they will take specialized courses to deepen their knowledge and skill in specific areas of Bioinformatics and Medical Informatics.
This program also has a specific path designed for working professionals who are interested in the program. A special path is also designated for those who are currently working in the Biotech or Health Care industries. When applying, please indicate whether you fall into this category.