Do you want to convert big data into understandable models that might change the world? With a graduate degree in Systems Biology and Bioinformatics, you will combine your love of math, statistics, computers and biology to develop computational models with which to provide new insight and understanding of big data, leading to big discoveries in laboratory and clinical settings.
Data science is the convergence of data engineering, math, statistics, advanced computing, the scientific method and subject-matter expertise. It involves the collection, management, analysis and transformation of "big data" into actionable information that can answer some of the world's most pressing problems. There is a distinct need for data science experts who can efficiently interpret data into information that is useful for strategic decision-making. It is the goal of the Systems Biology and Bioinformatics program to produce these scientists that are needed to assist in extracting meaning from the burgeoning biological 'omics field.
The SYBB program offers a multidisciplinary training program personally customized to each student leading to an MS or PhD. The program draws training faculty (currently more than 40 trainers) from more than 12 departments and 6 schools across the CWRU campus, ensuring students in the program acquire the expertise needed to succeed in the bioinformatic analysis of biological big data.
Academic background:
All students applying to the SYBB Program will be expected to have an undergraduate or master's degree in one of the component disciplines of the program including biological, computer, or quantitative sciences. The following undergraduate courses are strongly recommended:
Introductory Biology (2 semesters);
Introductory Chemistry (2 semesters);
Biochemistry;
Introductory Physics (2 semesters);
Calculus through differential equations;
Linear Algebra;
Introductory Computer Science; and
Introductory Statistics.
Test scores:
The TOEFL examination will be required for international students. GRE scores are optional but highly recommended.