Arizona State University College of Liberal Arts and Sciences
 

Computational Biosciences Program Admissions Information:

  1. You must apply to both the Division of Graduate Studies at Arizona State University and the Computational Biosciences Program. ASU encourages students to apply online. The appropriate PROGRAM CODE for the Professional Science Master's degree is LA 6J 2002. All other necessary information can be found at http://www.asu.edu/graduate.

  2. The submission of 3 letters of recommendation or a meeting/interview with a faculty member from within the Program is required.

  3. Applications will be accepted at any time, but the priority deadline for any given Fall semester is the preceding March 1st.

  4. Applications are recommended to be submitted for Fall, but Spring also is accepted. Students applying to work on prerequisites must apply for non-degree seeking status first and then apply to the program for the following Fall. International students can apply as an undergraduate for prerequisites, then apply for the program the following Fall.
  5. To apply online for undergraduate admissions
  6. To apply online for regular admissions
  7. To apply online for non-degree status
  8. For Mexican students, there are special scholarship opportunities
  9. Application instructions for TA positions in the Department of Mathematics and Statistics ( only for those with sufficient mathematics background)
  10. Application instructions for TA positions or financial assistance in the School of Life Sciences ( only for those with sufficient background in the life sciences)

Please note the program fee for the Professional Science Master program is $975 per Fall and Spring semester and is the same for all students (full or part time; resident or non-resident). ASU employees pay the same fee as all other students. For the most current information about graduate tuition rates and general fees, please refer to the main ASU website.

Requirements for admission to the Professional Science Masters CBS program

Students are required to have satisfied courses in mathematics, statistics, biology, chemistry and computer science prior to admission to the program. Students are encouraged to plan early for admission to the program in order to allow completion of any deficiencies. Courses are available at ASU, some during the two summer sessions. Students with a limited number of deficiencies may be conditionally admitted to the program, if it is likely that the deficiencies can be completed prior to admission or concurrently with core courses of the program in at most one semester. If a student has completed courses equivalent to the following listed courses at ASU, they have satisfied conditions for regular admission to the program at ASU. Please note that there are prerequisites required for each of these courses.

* Please check online for current course schedule

Biology

BIO 340   General Genetics.  (4)
fall, spring, summer
Science of heredity and variation. 3 hours lecture, 1 hour recitation. Prerequisite: BIO 187.

BIO 353   Cell Biology.  (3)
fall, spring, summer
Survey of major topics in cell biology, including structural, biochemical, and molecular aspects of cell function. Prerequisite: BIO 187.

Chemistry

CHM 231   Elementary Organic Chemistry.  (3)
fall and spring
Survey of organic chemistry, with emphasis on the reactivity of basic functional groups. Credit is allowed for only CHM 231 or 317 or 331. Prerequisite with a grade of "B" (3.00) or higher: CHM 101 or 114 or 115 or 116 or 117 or 1 year of high school chemistry or instructor approval.

BCH 361   Principles of Biochemistry.  (3)
fall and summer
Structures, properties, and functions of proteins, enzymes, nucleic acids, carbohydrates, and lipids; the utilization and synthesis of these materials by living systems, and the relationship of these processes to energy production and utilization. Credit is allowed for only BCH 361 or 461. Prerequisite: CHM 231 or 318 or 332

Mathematics

MAT 275   Modern Differential Equations.  (3)
fall and spring
Introduces differential equations, theoretical and practical solution techniques. Applications. Problem solving using Matlab. Credit is allowed for only MAT 275 or 274 toward a mathematics degree. Fee. Lecture, computing lab. Pre- or corequisite: MAT 271 (or its equivalent)

Statistics

M STP 420   Introductory Applied Statistics.  (3)
fall, spring, summer
Introductory probability, descriptive statistics, sampling distributions, parameter estimation, tests of hypotheses, chi-square tests, regression analysis, analysis of variance, and nonparametric tests. Prerequisite: MAT 113 or 117

Computer Science

CSE 205 Concepts of Computer Science and Data Structures. (3)
fall and spring
Problem solving by programming with an object-oriented programming language. Introduction to data structures. Overview of computer science topics. Fee. Prerequisite: CSE 100 or 110 or instructor approval. General Studies: CS