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

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

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:

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 Electives6
BIOCHEMISTRY
BIOSTATISTICS
VIROLOGY
CANCER BIOLOGY
GENERAL GENETICS
CELL BIOLOGY
IMMUNOLOGY
APPLICATIONS OF BIOTECHNOLOGY
SPECIAL TOPICS IN BIOLOGY
ANALYTICAL CHEMISTRY
MEDICINAL CHEMISTRY
Computational Electives6
ALGORITHM DESIGN
BIG DATA
INTELLIGENCE SYSTEMS
DATA MINING
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 Electives0-3
HIN PYTHON PROGRAMMING
ADVANCED DATA MANAGEMENT & ANALYTICS IN HEALTHCARE
DATA SCIENCE AND STATISTICS
DATABASE SYSTEMS
Capstone Project: 13
RESEARCH IN BIOLOGY
BIOLOGY INTERNSHIP
Total Credit Hours24-27
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
FallCredit HoursSpringCredit Hours
CHEM 20113BIOL 20213
BIOL 30113BIOL 4633
BIOL 4803CST 4673
 9 9
Year 2
FallCredit HoursSpringCredit Hours
BIOL 4183BIOL 4533
BIOL 4513CST 4613
CST 4363BIOL 4923
 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
FallCredit HoursSpringCredit Hours
MATH 2453CST 3543
CST 2803MATH 2463
BIOL 4803BIOL 4533
 9 9
Year 2
FallCredit HoursSpringCredit Hours
BIOL 4183BIOL 4633
BIOL 4513CST 4673
CST 4363BIOL 4923
 9 9
Total Credit Hours 36