Vials in chemistry lab

Computational Chemistry and Biology Graduate Certificate

Program Details

Degree

Certificate

Available

On campus

Contact

Office of Graduate Admissions1.888.511.1306graduate@stevens.edu
Apply Now

Learn computational chemistry and biology theories and their industrial applications from faculty with industry experience.

The computational chemistry and biology graduate certificate program prepares students with practical skills for their career. Taught by experts in the pharmaceutical/biotechnology industry with decades of real-world experience in major pharmaceutical companies, you'll learn computational chemistry and biology theories and their industrial applications.

This certificate focuses on key areas in computational chemistry and biology including quantum mechanics, molecular mechanics, molecular dynamics, biological models, and bioinformatics

Courses of this certificate program will count toward students’ master’s degree in chemistry or chemical biology either as core or elective courses.

Who should consider this program?

The certificate program is designed for students who would like to acquire and/or improve specific professional and technology skillsets that are valued by the following healthcare sectors:

  • Rapidly growing computational divisions in biotechnology and pharmaceutical companies

  • Artificial intelligence startups

  • Research labs in universities and institutes

Educational Objectives

  • Analyze spectra, structures, reactions, and other properties of chemical and biochemical systems using computational technology for a company, research institution, or academic laboratory.

  • Develop bioinformatics tools, and perform large life science data analysis.

  • Construct and investigate various kinds of molecular models in modern chemical and biochemical research via computational chemistry and biology techniques.

Educational Outcomes

  • Build and modify molecules, visualize data, and interpret data of typical problems in modern chemical and biochemical research.

  • Collect and analyze complex life science data.

  • Calculate widely used spectroscopic properties in experimental characterizations of molecular and biomolecular systems.

  • Obtain stable structures of chemical systems Use computational chemistry tools together with experimental spectroscopic data to determine molecular and biomolecular structure Investigate pharmacophore, 3D-QSAR, and receptor models in drug design area.

  • Design reaction pathway calculations to elucidate mechanisms for chemical and biochemical reactions.