Cheminformatics track of the Ph.D. in Informatics
The cheminformatics track of the Ph.D. in Informatics focuses on interdisciplinary study and research, completed over three to five years.
Download the current Ph.D. in Informatics handbook (PDF). We also recommend consulting program director djwild [at] indiana [dot] edu (David Wild) or your advisor in the department, as well as the informatics section (PDF) of the University Graduate School Academic Bulletin for more detailed information about these requirements.
A total of 90 credit hours is required for this degree. No more than 30 of those hours can be counted from a master’s degree taken at Indiana University or a graduate program at another university. An additional 6 hours of master’s thesis or capstone project may be counted toward the Ph.D. at the discretion of the student’s program committee, assuming the thesis or capstone project is of sufficient research quality.
Required Informatics Courses (27 cr.)
- INFO I501 Introduction to Informatics (3 cr.)
- INFO I600 Professionalism/Pedagogy (3 cr.)
- INFO I609 Advanced Seminar I in Informatics (Cheminformatics) (3 cr.)
- INFO I709 Advanced Seminar II in Informatics (Cheminformatics) (3 cr.)
- Three Ph.D. core/breadth courses outside of cheminformatics (3 cr. each)
- Two research rotations, semester-long associations with research groups in informatics (3 cr. each)
Theory, Methodology, and Elective Courses (33–42 cr.)
Specific course work, including research-oriented independent study, will be determined by the student’s advisory committee. For cheminformatics, some appropriate classes are:
- INFO I519 Introduction to Bioinformatics
- INFO I529 Machine Learning in Bioinformatics
- INFO I553 Independent Study in Chemical Informatics (may be taken several times)
- INFO I571 Chemical Information Technology
- INFO I572 Computational Chemistry and Molecular Modeling
- INFO I798 Professional Practicum/Internship
- CSCI B561 Advanced Database Concepts
- CSCI P573 Scientific Computing
- CHEM C483 Biological Chemistry
- SLIS S511 Database Design
- SLIS S517 Web Programming
- SLIS S636 Semantic Web
- STAT S501 Statistical Methods I
- STAT S503 Statistical Methods IIB
- STAT S520 Introduction to Statistics
- STAT S626 Bayesian Theory & Data Analysis
Dissertation Work (21–30 cr.)
All students are required to have an appropriate minor inside or outside the school. Minors will be selected with the advisor’s recommendation. Some of the courses included in the minor may also count toward the student’s methodology or other requirements.