M.S. in Computer Science Bio/Cheminformatics Option
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Admissions Criteria and Requirements
Core Courses
Course Pairs
Electives
Admissions Criteria and Requirements
Applicants for admission to the Master of Science Program with a Bio/Cheminformatics option typically have an undergraduate degree in computer science or a related discipline such as mathematics, physics, biochemistry or engineering. Students wishing to enroll in the Master's program in Computer Science with Bio/Cheminformatics option must demonstrate competency in the knowledge areas listed below. Competency in these areas is usually demonstrated by producing a transcript of previous academic experience which contains related courses passed with a B or better, or by earning a B or better in the courses listed below. Competency in the biology and chemistry area may be demonstrated by successfully passing a CLEP exam. Additional information regarding these exams may be obtained at the CollegeBoard website. The following are the knowledge areas in which competency must be demonstrated:
Biology 81.111 Principles of Biology I
Chemistry 84.121 Chemistry I and
84.122 Chemistry II
Discrete Mathematics 92.321 Discrete Structures I and 92.322 Discrete Structures II
C or C++ through Data Structures 91.250 Accelerated C with Data Structures or
91.101 Computing I and 91.102 Computing II
Programming Languages 91.301 Organization of Programming Languages
Computer Architecture 91.305 Computer Architecture
Operating Systems 91.308 Introduction to Operating Systems
Analysis of Algorithms 91.404 Analysis of Algorithms
Calculus 92.125 Calculus A and 92.126 Calculus B or 92.131 Calculus I and 92.132 Calculus II
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Core courses: Total 9 credits
91.502 Foundations of CS
91.503 Algorithms
91.531 Design of Programming Languages
Course Pairs:
The following course pairs are selected from the approved list of Computer Science pairs, these courses have been chosen because they complement the goals of the bio/cheminformatics option.
Total 12 Credits (Two pairs of courses from the approved list of CS pairs.)
91.503 Algorithms I
91.546 Graphics I
91.504 Algorithms II
91.547 Graphics II
91.573 Database I
91.573 or 91.574 Database I or II
91.574 Database II
91.550 Data Mining
91.573 or 91.574 Database I or II
91.546 or 91.547 Graphics I or II
91.522 Analysis and Design
91.541 Scientific Data Visualization
91.523 or 91.525 Software Engineering I or II 91.550 Data Mining
91.523 or 91.525 Software Engineering I or II
91.521 SWD in Context
91.526 Project Management
91.503 or 91.504 Algorithms I or II
91.543 Artificial Intelligence
91.553 Parallel Processing
91.550 Advanced Data Mining
91.503 or 91.504 Algorithms I or II
91.513 Internet and Web Systems I
Topics Course Data Mining
91.514 Internet and Web Systems II
91.503 or 91.504 Algorithms I or II
91.503 or 91.504 Algorithms I or II
91.510 Computational Methods in Molecular Biology
91.543 Artificial Intelligence
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Electives - Total 9 credits
Three additional courses will be taken from the list of approved bio/cheminformatics approved courses. The list below is for example only and it includes the current approved courses. This list will be updated as new courses are added to the program.
81.505* (3 credits) Bioinformatics
81.507* (1 credit) Bioinformatics Laboratory (coreq. 81.405)
81.519 (3 credits) Biochemistry I
81.520 (3 credits) Biochemistry II
81.501 (3 credits) Selected Topics I
81.502 (3 credits) Selected Topics II
81.567 Recombinant DNA Techniques
84.651 Selected Topics in Chemistry: Protein and Chemical Informatics
84.550 (3 credits) Biochemistry I
84.551 (3 credits) Biochemistry II
84.567 (3 credits) Biocheminformatics
84.568 (3 credits) Computational Chemistry
84.570 (3 credits) Advanced Protein
Chemistry
84.580 Advanced Analytical Biochemistry
92.593 (3 credits) Experimental Design (Mathematics Department)
Although Organic Chemistry is not required as a prerequisite, some of the courses offered as part of this degree rely on knowledge of this subject.
Students should be aware that the above courses may only be used toward the Bio/Cheminformatics option. If the entire requirements of the option are not completed then these courses cannot be applied in isolation toward the M.S. in Computer Science.
Program Total: 30 credits (assuming prerequisites have been filled)
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.
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