Integrated Mathematical Oncology, Ph.D.

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Department: Molecular Biosciences

Major Contacts, Deadlines, and Delivery Information

This Major shares core requirements with the Cancer Biology, Ph.D. ; Cancer Chemical Biology, Ph.D. ; and Cancer Immunology and Immunotherapy, Ph.D.

The Integrated Mathematical Oncology Major consists of focused training in mathematical modeling. Students will also receive interdisciplinary training in the broader field of cancer biology through coursework and immersion in the Moffitt Cancer Center’s research endeavors. Cancer patient and experimental data have been growing at an exponential rate during the last decade and now incorporates a range of biological scales (molecular, cellular, tissue, organ) and diverse techniques (gene expression, histological staining, imaging), however, these data are severely underutilized in current clinical decision processes. Appropriate quantitative models are essential to understand the complex dynamics of the evolving non-linear system that is cancer.

This Major will provide students a unique foundation of knowledge and practical experience in the rapidly advancing arena of mathematical oncology. Students will also train alongside individuals studying other areas of cancer biology, providing a broad base of understanding of cancer and increasing the potential for interdisciplinary research. Graduates of this major will be positioned to enter the technological workforce ready to discover and implement quantitative models and model analysis in experimental and clinical areas that will have a key impact on cancer patient therapy.

The Major is a joint endeavor between the Moffitt Cancer Center and the University of South Florida. Moffitt Cancer Center is located on the campus of the University of South Florida and is a leading institution of basic research, clinical research, and patient treatment with a focused mission “to contribute to the prevention and cure of cancer.” The Moffitt Cancer Center is officially designated as a Comprehensive Cancer Center by the National Cancer Institute of the National Institutes of Health.

Major Research Areas

Develop phenomenological mathematical models of tumor development, growth and invasion as well as treatment response
Develop data-driven quantitative models to answer specific biological or clinical questions
Research project work that include development, implementation, analysis and solution of topic-driven mathematical models

Admission Information

Must meet University Admission and English Proficiency requirements as well as requirements for admission to the major, listed below.

Extensive background in field of mathematics, engineering, physics, or computer science
GRE optional
Advanced coursework and research experience preferred

Stipends

All Integrated Mathematical Oncology Ph.D. students in good standing will receive a highly competitive stipend. All students also receive student health insurance coverage and direct payment in full of all required tuition and required fees. Please visit the Program’s website for current stipend levels.

Curriculum Requirements

Total Minimum Hours: 96 credit hours

Shared Core Requirements – 4 Credit Hours
Other Required Courses – 17 Credit Hours
Electives – 3 Credit Hours
Additional Requirements – 14 Credit Hours
Dissertation - 24 Credit Hours
Other Requirements – 34 Credit Hours

All students are required to successfully complete all curriculum requirements of the Integrated Mathematical Oncology Major. Dissertation Committees may require students to take additional course work if needed to correct deficiencies. Students are required to achieve a minimum grade of B-minus in all Shared Core Requirements, Other Required Courses and the required elective course, and maintain an overall GPA of 3.00 (B) in order to remain in good standing.

Shared Core Requirements (4 Credit Hours)

PCB 6230 Cancer Biology I - Basics of Molecular Oncology Credit Hours: 3
PCB 6932 Bioethics for Cancer Researchers Credit Hours: 1

Other Required Courses (17 Credit Hours)

PCB 6930 Current Topics in Cancer Biology Credit Hours: 2 (8 credits for this program)
BSC 6882 Integrated Mathematical Oncology I Credit Hours: 3
BSC 6883 Integrated Mathematical Oncology II Credit Hours: 4
PCB 6282 Cancer Biology and the Immune System Credit Hours: 2

Electives* (3 Credit Hours)

*Graduate Courses not on this list may be used with the approval of the Graduate Director.

PCB 6526 Cancer Biology IV - Concepts and Techniques in Cancer Genetics Credit Hours: 3
PCB 6205 Cancer Biology III - Cancer Genomics and Drug Discovery Credit Hours: 3
PCB 6281 Cancer Immunotherapy Credit Hours: 4
BSC 6875 Cancer Drug Discovery Credit Hours: 3
PHC 6050 Biostatistics I Credit Hours: 3
ISM 6251 Data Science Programming Credit Hours: 3

Additional Requirements (14 Credit Hours)

PCB 6910 Cancer Biology Lab Rotations Credit Hours: 1-3 (1-3 Credit Hours)
BSC 7911 Directed Research in Cancer Biology Credit Hours: 1-12 (4-8 Credit Hours)
PCB 6931 Advances in Cancer Biology Research Credit Hours: 2 (4-12 credits for this program) OR
PCB 6934 Advances in Cancer Chemical Biology Credit Hours: 2 (4-12 credits for this program) OR
PCB 6936 Advances in Tumor Immunology and Cancer Research Credit Hours: 2 (4-12 credits for this program) OR
BSC 6933 Advances in Integrated Mathematical Oncology Credit Hours: 2 (4-12 credits for this program)

Qualifying Exam

The required qualifying exam consists of a written research proposal and an oral defense of the proposal by the student.

Dissertation (24 Credit Hours)

BSC 7980 Dissertation: Doctoral Credit Hours: 2-19 (24 credits for this program)
Prior to the dissertation defense, students must have an original first-author research report accepted for publication in a peer reviewed scientific journal.

Other Requirements (34 Credit Hours)

Remaining credit hours required to meet the 96 hour minimum for graduation will consist of additional Dissertation hours (BSC 7980 Dissertation: Doctoral ), BSC 6939 Selected Topics in Cancer Biology , and/or Program approved electives.

During the first year, students will be required to complete laboratory rotations according to their interest. Laboratory rotations are 10 weeks each. Students doing rotations will need to enroll in the laboratory rotation course. If a student has not chosen a major professor after two semesters, they may enroll in an additional summer rotation. Rotations have several purposes. The foremost is to help the students choose a compatible major professor and an exciting research project. A second purpose is for students to develop necessary technical skills. Students will be evaluated by the host professor and the Graduate Advisor will assign a grade to each student at the end of the semester.