Bioinformatics and Computational Biology, MS
The Master of Science degree in Bioinformatics and Computational Biology requires a minimum of 36 credit hours, with at least 27 credit hours completed at Roosevelt University. Students who lack foundational prerequisites must complete 9 credits in the corresponding foundational courses, which are applied towards the degree. In addition to the foundational courses, the program consists of 9 credits in core bioinformatics courses, at least 6 credits of natural science electives, at least 6 credits of computational electives, at least 3 credits of health informatics electives, and 3 credits of independent research. Students interested in health informatics should also consider our related Master of Science in Health Informatics or our Healthcare Ethics, Analytics, and Law graduate certificate. Each student will collaborate with a faculty advisor to create an individualized academic plan.
Computational Foundational Courses
Code | Title | Credit Hours |
---|---|---|
Required for students without a Computation Foundation. Select three of the following courses: | 9 | |
INTRODUCTION TO ALGORITHMS | ||
INTRODUCTION TO PROGRAMMING | ||
DISCRETE STRUCTURES | ||
LINEAR ALGEBRA |
Natural Science Foundational Courses
Code | Title | Credit Hours |
---|---|---|
Required for students without a Natural Science Foundation. Select three of the following courses: | 9 | |
ECOLOGY, EVOLUTION, AND GENETICS (Lecture Only) | ||
CELLULAR &MOLECULAR BIOLOGY (Lecture Only) | ||
GENERAL CHEMISTRY I (Lecture Only) |
Required Courses:
Code | Title | Credit Hours |
---|---|---|
Core Bioinformatics Course - Select three of the following courses: | 9 | |
MOLECULAR BIOLOGY | ||
INTRODUCTION TO GENOME ANALYSIS | ||
COMPUTING WITH DATA IN PYTHON | ||
WEB-BASE DATABASE APPLICATIONS | ||
Electives | ||
Students must complete a minimum of 6 credits in natural science electives, 6 credits in computational electives, and 3 credits in health informatics electives from the following options, or other approved courses as advised: | ||
Natural Science Electives | 6 | |
BIOCHEMISTRY | ||
BIOSTATISTICS | ||
VIROLOGY | ||
CANCER BIOLOGY | ||
GENERAL GENETICS | ||
CELL BIOLOGY | ||
IMMUNOLOGY | ||
APPLICATIONS OF BIOTECHNOLOGY | ||
SPECIAL TOPICS IN BIOLOGY | ||
ANALYTICAL CHEMISTRY | ||
MEDICINAL CHEMISTRY | ||
Computational Electives | 6 | |
ALGORITHM DESIGN | ||
BIG DATA | ||
INTELLIGENCE SYSTEMS | ||
DATA MINING | ||
or MATH 409 | DATA MINING | |
GAME THEORY AND APPLICATIONS | ||
COMPUTING WITH DATA IN PYTHON | ||
DEEP LEARNING | ||
INFORMATION RETRIEVAL | ||
LINEAR PROGRAMMING & OPTIM | ||
REGRESSION & TIME SERIES | ||
QUANTITATIVE ANALYSIS FOR MANAGERS | ||
Health Informatics Electives | 0-3 | |
HIN PYTHON PROGRAMMING | ||
ADVANCED DATA MANAGEMENT & ANALYTICS IN HEALTHCARE | ||
DATA SCIENCE AND STATISTICS | ||
DATABASE SYSTEMS | ||
Capstone Project: 1 | 3 | |
RESEARCH IN BIOLOGY | ||
or BIOL 491 | BIOLOGY INTERNSHIP | |
Total Credit Hours | 24-27 |
- 1
Students will complete a graduate capstone project, engaging in independent research (BIOL 492 RESEARCH IN BIOLOGY) or project-based coursework under the guidance of a faculty member. The capstone project may involve developing a practical tool or resource, such as a web-based application or database, in collaboration with a sponsoring faculty member. The goal is to demonstrate the ability to apply bioinformatics concepts to real-world problems while building a portfolio-ready product.
Students will present their work at internal research events, such as department seminars or symposiums, providing an opportunity to communicate their findings and solutions to the academic community. The capstone project may be completed in a single term for 3 credit hours or incrementally for a total of 3 credit hours.
Students may alternatively complete an internship (BIOL 491 BIOLOGY INTERNSHIP) as part of their capstone experience, provided the internship incorporates significant independent bioinformatics work and results in a portfolio-ready deliverable.
Students with Computational Background
Your degree map is a general guide suggesting courses to complete each term on the academic pathway to your degree. It is based on the most current scheduling information from your academic program. Your program’s degree map is reviewed annually and updated as schedules change (although you retain the same course requirements as long as you are continuously enrolled in your degree program).
Always work closely with your academic advisor to understand curriculum requirements and scheduling, as each student’s academic plan can look slightly different.
Year 1 | |||
---|---|---|---|
Fall | Credit Hours | Spring | Credit Hours |
CHEM 2011 | 3 | BIOL 2021 | 3 |
BIOL 3011 | 3 | BIOL 463 | 3 |
BIOL 480 | 3 | CST 467 | 3 |
9 | 9 | ||
Year 2 | |||
Fall | Credit Hours | Spring | Credit Hours |
BIOL 418 | 3 | BIOL 453 | 3 |
BIOL 451 | 3 | CST 461 | 3 |
CST 436 | 3 | BIOL 492 | 3 |
9 | 9 | ||
Total Credit Hours 36 |
- 1
Lecture Only
Students with Biological Backgrounds
Your degree map is a general guide suggesting courses to complete each term on the academic pathway to your degree. It is based on the most current scheduling information from your academic program. Your program’s degree map is reviewed annually and updated as schedules change (although you retain the same course requirements as long as you are continuously enrolled in your degree program).
Always work closely with your academic advisor to understand curriculum requirements and scheduling, as each student’s academic plan can look slightly different.
Year 1 | |||
---|---|---|---|
Fall | Credit Hours | Spring | Credit Hours |
MATH 245 | 3 | CST 354 | 3 |
CST 280 | 3 | MATH 246 | 3 |
BIOL 480 | 3 | BIOL 453 | 3 |
9 | 9 | ||
Year 2 | |||
Fall | Credit Hours | Spring | Credit Hours |
BIOL 418 | 3 | BIOL 463 | 3 |
BIOL 451 | 3 | CST 467 | 3 |
CST 436 | 3 | BIOL 492 | 3 |
9 | 9 | ||
Total Credit Hours 36 |