30 credits, consisting of 9 credits of core course work and 12 credits from two pairs of course pairs and 9 credits from electives.
Core Courses |
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Course # | Course Name | Cr. |
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Total | 9 |
COMP.5020 | Foundations of Computer Science | 3 |
COMP.5030 | Algorithms | 3 |
COMP.5310 | Design of Programming Languages | 3 |
The following course pairs are selected from the approved list of Computer Science pairs, these courses have been chosen because they compliment the goals of the biocheminformatics option.
Course Pairs (Pick Two Pairs) |
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Course # | Course Name | Cr. |
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| Algorithms I Graphics I | 3 3 |
| Algorithms II Graphics II | 3 3 |
| Database I Database II | 3 3 |
| Database II Data Mining | 3 3 |
| Database I or II Graphics I or II | 3 3 |
| Analytics and Design Scientific Data Visualization | 3 3 |
| Software Engineering I or II/Data Mining Software Engineering I or II | 3 3 |
| SWD in Context Project Management | 3 3 |
| Algorithms I or II Artificial Intelligence | 3 3 |
| Parallel Processing Advanced Data Mining | 3 3 |
| Algorithms I or II Internet and Web Systems | 3 3 |
Total | 12 |
Course Pairs Continued (Topics Course - Data Mining) |
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Course # | Course Name | Cr. |
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COMP.5140 | Internet and Web Systems II | 3 |
| Algorithms I or II Algorithms I or II | 3 3 |
| Computational Methods in Molecular Biology Artificial Intelligence | 3 3 |
*The above electives may only be used for the toward the biocheminformatics option. If the entire requirements of the option are not completed than these courses cannot be applied in isolation toward the M.S. in Computer Science.
An optional master's thesis can be substituted for at most 6 credits, and may be used to substitute for one pair of related courses.
Total Credits = 30
Last updated: 6/24/2020