Master of Science in Bioinformatics
Baltimore, USA
DURATION
4 up to 5 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
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STUDY FORMAT
On-Campus
* International, degree-seeking (All F-1 in and out of USA) - Fall April 1st; US Citizen / Permanent Resident, degree-seeking - Fall - May 1
Key Summary
Scholarships
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Introduction
The explosion of biological information has created a critical demand for professionals who can turn this data into useful knowledge. The Master’s Degree in Bioinformatics at Morgan State University is designed to train such professionals with an educational background that blends biology with computer science. This program provides students with a strong foundation in computer programming, biostatistics, computer visualization, biostatistics, computational biology, computational mathematics, and database management. Graduates are well-prepared for academia and careers in the biotechnology, bioinformatics, pharmaceutical, and drug design industries.
Morgan State University’s Master of Science in Bioinformatics curriculum offers coursework in computational biology methods, programming, and biostatistics. The Master’s in Bioinformatics program electives give students the flexibility to specialize and build broader knowledge in both life sciences and computer sciences. Upon completion of the bioinformatics master's degree, graduates will have a solid, experience-based foundation to gain a competitive edge in this high-demand, high-reward field.
Admissions
Curriculum
Course Requirements
Completion of the Program requires a total of 10 courses equaling 30 credit hours. We recently redesigned the Program to reduce the number of required credits to 30 and to place a greater emphasis on research. Our aim is to help students obtain the best training through this Program for their future careers in this exciting field. The required courses must be completed according to the following categories:
- 5 Bioinformatics Core Courses (15 credit hours)
- 3 Computer Science, Mathematics, and Statistics Courses (9 credit hours)
- Current Topics in Bioinformatics (3 credit hours)
- Thesis Seminar in Bioinformatics (3 credit hours)
Course List
Bioinformatics Core Courses
- BIOI 511 Bioinformatics I (3 credits)
- BIOI 512 Bioinformatics II (3 credits)
- BIOI 513 Bioinformatics III (3 credits)
- BIOI 521 Bioinformatics Tools and Databases (3 credits)
- BIOI 531 BioProgramming (3 credits)
Computer Science, Mathematics and Statistics Core Courses
- COSC 541 Scientific Visualization (3 credits)
- MATH 553 Computational Mathematics (3 credits)
- MATH 631 Biostatistics (3 credits)
Research and Seminar
- BIOI 591 Current Topics in Bioinformatics (3 credits)
- BIOI 799 Thesis Seminar in Bioinformatics (3 credits) and by needs
- BIOI 797 Thesis Guidance in Bioinformatics (2 credits)
Two Required Elective Courses
Optimal Course Sequence
Year One (First semester)
- BIOI 511 Bioinformatics I (3 credits)
- BIOI 531 BioProgramming (3 credits)
- MATH 631 Computational Mathematics (3 credits)
Year One (Second Semester)
- BIOI 512 Bioinformatics II (3 credits)
- BIOI 521 Bioinformatics Tools and Databases (3 credits)
- MATH 553 BioStatistics (3 credits)
Year Two (First Semester)
- BIOI 513 Bioinformatics III (3 credits)
- COSC 541 Scientific Visualization (3 credits)
- Elective Course I (3 credits)
Year Two (Second Semester)
- BIOI 591 Current Topics in Bioinformatics (3 credits)
- BIOI 799 Thesis Seminar in Bioinformatics (3 credits)
- Elective Course II (3 credits)
Year Three (First Semester) (if needed)
- BIOI 797 Thesis Guidance in Bioinformatics (2 credits)