Computational and Systems Biology Track

Total Track Hours must equal 15 hours from The Grainger College of Engineering

Computational and Systems Biology combines mathematical, statistical, and computational methods with molecular biology to understand and control the complex systems that regulate human biological processes. In this track of study you will receive training in genomic biology, biotechnology instrumentation, bioinformatics, and statistical and computational modeling. Application areas include disease modeling, development of analytical methods for decoding genetic information, pharmaceutical design, and development of personalized medical informatics systems.

To view the Computational and Systems Biology Curriculum Map, click here.

To view the Course Catalog for course offerings and prerequisites, click here.

The following curriculum modifications should be followed*:

*An advisor-approved Curriculum Modification form is required to receive appropriate degree credit. See Department Office.

Students following this track may take:

ABE 440 Applied Statistical Methods I (4 hr)
BIOE 424 Systems Bioengineering (3 hr)
BIOE 430 Introduction to Synthetic Biology (3 hr)
BIOE 498 JI Finite Element Methods in Biomedicine (3 hr)
BIOE 498 PJ Experimental Design in Automation (3 hr)
BIOE 498 TL Intro to Systems Bio (3 hr)
CS 225 Data Structures (4 hr)
CS 398 DL Deep Learning (3 hr)
CS 411 Database Systems (3 hr)
CS 412 Introduction to Data Mining (3 hr)
CS 440 Artificial Intelligence (3 hr)
CS 465 User Interface Design (3 hr)
CS 466 Introduction to Bioinformatics (3 hr)
ECE 490 Introduction to Optimization (3 hr)
ECE 498 NSU Deep Learning in Hardware (3 hours)
IE 310 Deterministic Models in Optimization (3 hr)
IE 370 Stochastic Processes and Applications (3 hr)
NPRE 461 Probabilistic Risk Assessment (3 hr)
NPRE 498 PRA Advanced Risk Analysis (3 hr)
SE 423 Mechatronics (3 hr)
TMGT 461 TMD and TME Technology, Engineering and Management Final Projects (4 hr)