Bioinformatics, Master of Science

Source: https://e-catalogue.jhu.edu/arts-sciences/advanced-academic-programs/programs/center-biotechnology-education/bioinformatics-master-science/ Parent: https://e-catalogue.jhu.edu/programs/

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MS in Bioinformatics

Joint Offering with the Whiting School of Engineering

Johns Hopkins University offers an innovative graduate program that prepares professionals for success in bioinformatics. Drawing from the strengths of the Krieger School of Arts and Sciences and the Whiting School of Engineering, this program fully integrates the computer science, bioscience, and bioinformatics skills and knowledge needed to pursue a career in this dynamic field.

The 11-course degree program is thesis-optional and can be completed part-time or full-time and onsite, online, or through a combination of onsite and online courses.

Admissions Criteria for All Advanced Academic Programs

PROGRAM-SPECIFIC REQUIREMENTS

In addition to the materials and credentials required for all programs, the Master of Science in Bioinformatics requires an undergraduate degree in the biological sciences or engineering with at least a 3.0 on a 4.0 scale.

Resume
Statement of purpose:Please provide a statement, up to one page in length, describing your personal background and/or a part of your life experience that has shaped you or your goals. Feel free to elaborate on personal challenges and opportunities that have influenced your decision to pursue a graduate degree at Johns Hopkins.
Program-specific prerequisite courses:
One semester of organic chemistry
One semester of biochemistry
One semester of introduction to programming using Java, C++, C, or Python
One semester of data structures
One semester of probability and/or statistics
One semester of calculus

Program Requirements

Students in the MS in Bioinformatics program must complete 11 courses:

Three required core courses
Five customizable core courses
One elective from biotechnology
One elective from computer science
One general elective

After completing the above courses, students may choose an independent study project (optional).

Course List

Code	Title	Credits
Core Courses - Required:		11
	Molecular Biology
	Epigenetics, Gene Organization & Expression
	Applied Machine Learning
Core Courses - Customizable		9 -11
	Introduction to Bioinformatics
or	Biological Databases and Database Tools
	Practical Computer Concepts for Bioinformatics
or	Principles of Database Systems
	Algorithms for Bioinformatics
or	Foundations of Algorithms
Select two of the following: 2, 3, 4		6 - 8
	Bioinformatics: Tools for Genome Analysis
	Protein Bioinformatics
	Molecular Phylogenetic Techniques
AS.410.666
	Gene Expression Data Analysis and Visualization
	Cancer Genomics
	Advanced Practical Computer Concepts for Bioinformatics
AS.410.713
AS.410.733
	Practical Introduction to Metagenomics
	Genomic and Personalized Medicine
	Linked Data and the Semantic Web
	Neural Networks
	Principles of Bioinformatics
	Computational Genomics
	Computational Drug Discovery,Dev
	Statistics for Bioinformatics
	Modeling and Simulation of Complex Systems
	Algorithms for Structural Bioinformatics
	Systems Biology
Electives
Computer Science
Select one of the following: 1, 3		3
	Foundations of Software Engineering
	XML Design Paradigms
	Principles and Methods in Machine Learning
	Data Visualization
	Principles of Enterprise Web Development
	Mobile Application Development for the Android Platform
	Software Systems Engineering
	Large-Scale Database Systems
	Advanced Machine Learning
	Evolutionary and Swarm Intelligence
	Independent Project in Bioinformatics
	Big Data Processing Using Hadoop
Biotechnology
Select one of the following: 1, 2		4
	Advanced Cell Biology
	Cellular Signal Transduction
	Human Molecular Genetics
	Principles of Immunology
	Virology
	Molecular Basis of Pharmacology
	Genes & Disease
	Gene Therapy
	Emerging Infectious Diseases
	Cancer Biology
	Clinical & Molecular Diagnostics
	Clinical Trial Design and Conduct
	Recombinant DNA Laboratory
	High Throughput Screening & Automation Lab
	Independent Research in Biotechnology
General Elective		3 - 4
Select from Biotechnology elective list or Computer Science elective list 1, 2, 3

1 : Students may select other electives with the approval of their adviser

2 : See course listings page for the Center for Biotechnology Education

3 : See course listings page for Computer Science

4 : Students who take more than two may count the additional courses as electives

MS in Bioinformatics with Thesis Option

Students interested in pursuing the MS in Bioinformatics with the thesis option are required to take 12 courses. The thesis requires a two-semester research project. Students complete Independent Research in Biotechnology first and Biotechnology Thesis the following semester. Students interested in this option should consult with the program director or their academic adviser.

Learning Outcomes

Students in this program will:

Critique current and classic research in molecular biology
Search public databases in order to analyze data in a biological context
Implement sequence alignment tools to elucidate the deeper context of biological data
Develop bioinformatics tools to address biological problems
Write computer programs to build databases within a biological context in multiple computer languages
Design deployable computer algorithms
Develop skills to meet individual career goals in computational biology and related fields.