The CBIOS training structure is diverse and flexible, and hence is able to prepare trainees from differing backgrounds for research and teaching involving computation and statistics of genomics data.
The total number of credits required for the completion of the CBIOS is 14, all counting towards the credit requirements for doctoral degrees in the associated programs.
The curriculum is designed around four broad categories:
1. Interactive course instruction
The CBIOS program will develop literacy among trainees in three focus clusters, bioinformatics, statistics, and life sciences, which are specifically selected to meet training objectives for trainees from different graduate programs.
Students are required to take one course from each cluster, totaling 9 course credits. Additional coursework can be taken to assure background competency levels, develop greater disciplinary expertise, and meet departmental requirements.
2. New CBIOS courses
These courses comprise 5 course credits and will establish fluency with scientific literature, skills in integrative data analysis, in depth discussions of ethical issues, and excellence in written and oral communication; they include the Practicum and the CBIOS Tutorials.
3. Required CBIOS activities
These activities, which occur each semester or annually, comprise attendance at one of the weekly seminar series and at the Genomics Ethics discussion group and will enhance collaboration among students and training faculty, promote networking, and increase awareness of specific ethical issues associated with genomics research.
4. Professional development opportunities
Trainees have the opportunity to explore a range of career options in more detail; these include additional experience in teaching through specific course work and hands on instruction, enhanced disciplinary development through workshops and internships, hands on participation in the work place through internships, and development of writing and grant writing skills through mentored course activity.
Students will participate in one of these activities either during the academic year or summer as part of their individualized training program.
Required courses and course clusters
1. CBIOS Required Courses
- MCIBS 597A CBIOS Practicum (3)
- MCIBS 541 Critical Analysis in Bioinformatics and Genomics Research Topics (2)
2. Bioinformatics Cluster (Select one course from the following list; 3)
- MCIBS 554/BMMB 554 Foundations in Data Driven Life Sciences (3)
- STAT 555 Statistical Analysis of Genomics Data (3)
- STAT 557 Data Mining(3)
3. Statistics Cluster (Select one course from the following list; 3)
- STAT 505 Applied Multivariate Analysis (3)
- STAT 501 Regression Methods(3)
- STAT 502 Analysis of Variance and Design of Experiments (3)
4. Life Science Cluster (Select one course from the following list)
- BMMB 597B Functional Genomics (3)
- BMB 485 Human Genomics and Biomedical Informatics (3)
- BIOL 428 Population Genetics (3)
- BIOL 405 Molecular Evolution (3)
5. CBIOS Activities
- Retreat: Participate in Annual Retreat
- CBIOS Seminar: Participate in one of the weekly seminars
- Genomics Ethics: Participate in each semester
6. Professional Development Cluster (Select One activity from the following list)
- Internship: Opportunities at PSU and other Institutes
- Teaching: Teaching Assistantship in CBIOS courses
- Workshop: Instruct workshop/ Organize Annual Retreat
- Grant Writing: Advanced training and submission of grant