Entrance Assessment

Prospective students will be assessed according to their undergraduate record as well as their scores on the Graduate Record Exams (GREs). Admission assessment may also include an interview with the Admission Committee, formed by the Program Director and key faculty members. The Admission Committee will determine the student’s baseline competency for the program, and will assign courses to be followed in the first year of the program. The Admission Committee will also assign to each student an Advisor, who has to be confirmed or changed by end of first semester.

It is anticipated that students will enter the program from a variety of backgrounds with Bachelor’s or Master’s degrees in biology, chemistry, computer science, engineering, mathematics, or physics.

Learning Goals

  1. Students will acquire a productive understanding of the five scientific fields (Biology, Chemistry, Computer Science, Mathematics, Physics) that comprise CCIB, sufficient to engage in interdisciplinary research.
  2. Students (research) will develop a sufficient skills in a specific area of computational biology, so to be able to perform research in that area of study.
  3. Student (non-research) will be able to gain sufficient skills to communicate and deliver information to scientists from different disciplines, as specified on Goal 1.
  4. Students will experience a research activity or study in a specific area of computational and integrative biology.

Degree Requirements

On the basis of the entrance assessment, the Admission Committee will determine a course of study for the individual to take in the two years of graduate studies. The MS degree will require a minimum of 30 credits from Essentials and Elective Courses.

CIB MS Degree Tracks

Plan A: is a thesis-based track. Student perform research with a faculty member of CCIB. Six credit course of the Masters Project (contact CCIB secretary for a Special Permission Number) is dedicated for Thesis Writing and Defense. Out of the remaining 24 credits, 5 Dissertation Research credits (contact CCIB secretary for a Special Permission Number) can account towards the degree. The remaining 19 credits are class courses. Courses’ selection to be coordinated with the Graduate Program Director. A successful completion of a comprehensive examination (thesis defense), taken at the end of the last semester, will conclude the degree requirements. Use the attached form to follow your progression (PDF file)

Plan B: is a non-thesis track. It requires the completion of 30 graduate level course credits.  In addition, students are required to write a comprehensive review paper under the guidance of a faculty member of CCIB. The mentor selection to be coordinated with the Graduate Program Director and be done before the beginning of the last fall semester. The review writing process is done during the last two semester. Students register for Independent Study Course (3 credits) in the fall and spring semesters (contact CCIB secretary for Special Permission Numbers) to complete the writing. The selection of the remaining 24 credit courses’ selection to be coordinated with the Graduate Program Director. Use the attached form to follow your progression (PDF file).

Required Courses

  • 56:121:701 Master’s Project (6 credits) 4th semester – Plan A only
  • 56:121:710 Dissertation Research (total of 5 credits) 1st through 3rd semester – Plan A only
  • 56:121:710 Independent Study (total of 6 credits) 3rd and 4th semester – Plan B only

Essentials Courses

A maximum of 12 credits will be selected from Essentials Courses.

  • 56:121:510 Essentials of Biological Chemistry I (3 credits)
  • 56:121:520 Essentials of Biomathematics I (3 credits)
  • 56:121:530 Essentials of Computer Science I (3 credits)
  • 56:121:540 Essentials of Integrative Biology I (3 credits)
  • 56:121:565 Essentials of Biophysics (3 credits)

Elective Courses

In consultation with the advisory committee, a student will select appropriate elective courses consistent with his/her interests, needs, and goals. The following is a list of some of the potential elective courses available.

  • 56:121:511 Essentials of Biological Chemistry II (3 credits)
  • 56:121:521 Essentials of Biomathematics II (3 credits)
  • 56:121:531 Essentials of Computer Science II (3 credits)
  • 56:121:541 Essentials of Integrative Biology II (3 credits)
  • 56:115:511,512 Biochemistry I,II (3,3)
  • 56:115:522 Protein Structure and Function (3)
  • 56:121:620 Laboratory Rotation Practicum (4 credits)
  • 56:120:523 Topics In Quantitative Biology (3 credits)
  • 56:120:503 Estuarine Biology (3 credits)
  • 56:120:505 Marine Biology (4 credits)
  • 56:120:525 Advanced Aquatic Ecology (3 credits)
  • 56:120:513 Population Genetics (3 credits)
  • 56:120:590 Population Ecology (3 credits)
  • 56:120:580 Fungi In Ecosystems (3 credits)
  • 56:120:583 Molecular Mechanisms of Developmental Genetics (3 credits)
  • 56:120:588 Life at Extremes (3 credits)
  • 56:120:512 Mammalian Physiology (3 credits)
  • 56:120:515 Human Genetics (3 credits)
  • 56:120:508 Cell Physiology (4 credits)
  • 56:120:509 Cytogenetics (4 credits)
  • 56:120:510 Cell Ultrastructure And Function (3 credits)
  • 56:120:534 Advanced Cell And Developmental Biology (3 credits)
  • 56:120:516 Immunology (3 credits)
  • 56:120:530 Molecular Carcinogenesis (3 credits)
  • 56:120:529 Molecular Genetics Of Microorganisms (4 credits)
  • 56:120:585 Recombinant DNA Technology (3 credits)
  • 56:120:540 Neuroscience (4 credits)
  • 56:120:555-556 Neurobiology (3 credits, 3 credits)
  • 56:120:560 Endocrinology (3 credits)
  • 56:120:575 Neurochemistry (3 credits)
  • 56:121:555 Cheminformatics (3 credits)
  • 56:121:560 Biophysics (3 credits)
  • 56:160:514 Molecular Modeling (3 credits)
  • 56:198:541 Parallel and Distributed Computing (3 credits)
  • 56:198:552 Advanced Database Systems (3 credits)
  • 56:198:556 Computer Graphics (3 credits)
  • 56:198:582 Computational Modeling of Biological Systems (3 credits)
  • 56:645:557 Signal processing (3 credits)
  • 56:645:572 Computational Mathematics II (3 credits)
  • 56:645:562 Mathematical Modelling (3 credits)
  • 56:645:560 Industrial Mathematics (3 credits)
  • 56:645:563 Statistical Reasoning (3 credits)
  • 56:645:558 Theory and Computation in Probability (3 credits)
  • 56:645:571 Comp Math I (3 credits)
  • 56:645:585 Mathematical Theory of Probability (3 credits)

Comprehensive Exam

At the end of the program, the student’s Advisory Committee will administer a comprehensive exam which will include an oral defense of the Master’s project as well as oral and/or written responses to questions testing the breadth of knowledge in the area of study.

The student must select an Advisory Committee, with the approval of the program director, by the end of the third semester. The Advisory Committee is formed by 3 examiners including: the student Advisor, a committee chair, at least one CCIB faculty member.

For further queries please visit Frequently Asked Questions or contact us.

See the Graduate School Academic Forms