The Master of Science in Computational and Medicinal Chemistry for Drug Discovery program is tailored for recent graduates and early to mid-career professionals in the pharmaceutical or biotechnology industry interested in drug discovery. 

This program focuses on key areas in computational chemistry, medicinal chemistry including protein structure and property interaction, ligand and receptor interactions and modification of ligands and compounds to better-fit receptors and other targets. The program builds on a foundation of chemistry and biology and provides a complement of skills and knowledge essential for drug early preclinical discovery. Students may elect to choose thesis or non-thesis options, depending on their professional goals. Graduates of this program will be expected to use their knowledge of the life sciences, chemistry, computer science, mathematics, and critical thinking skills to design, develop and analyze compounds in order to solve complex clinical problems which includes targeting specific proteins for drug discovery.

Graduates of this program will be well positioned to obtain careers in drug discovery focusing on silico structure based drug design and medicinal chemistry research within academic, government and national labs, pharmaceutical and biotechnology companies, as well as legal and patent offices.

The Master of Science in Computational and Medicinal Chemistry at Stevens requires 30 graduate credits in an approved plan of study, including core courses. The Curriculum Overview page offers more information.

Core Courses

CH 685 Medicinal Chemistry
CH 664 Computational Chemistry
CH 581 Biochemistry II-Bio-molecular Structure and Function
CH 782 Special Topics in Bioorganic Chemistry
CH 640 Advanced Organic Chemistry