Prepare for a career in research, industry, or education
The University of New Haven’s M.S. in Chemistry is a practiced-based program that will enable you to take an integrative approach to solving practical chemistry problems and prepare you to pursue a career in a variety of fields.
You’ll begin by gaining a broad background in chemical theories, computational chemistry methods, analysis of experimental data, design of chemical materials, modern organic chemistry, design of molecular drugs, the design of sustainable chemical processes, and current challenges in the field of chemistry.
In addition to developing an expertise in organic, analytical, and computational chemistry, you’ll take courses in biomedical engineering, civil engineering, computer science, math, and cellular and molecular biology.
Through this integrative approach, you will be well prepared to study chemistry challenges such as molecular drug discovery, polymer materials design, catalyst design, and chemical analysis for sustainable and renewable energy.
You’ll also have the option to pursue a concentration in several rapidly growing specialty areas in the field, such as computational and materials chemistry, drug discovery chemistry, or analytical and green chemistry.
Through this program, you will also:
- Enhance your skills and knowledge in research methods, writing, and ethics
- Pursue a concentration in analytical & green chemistry, computation & materials chemistry, or drug discovery chemistry
- Focus your studies through your choice of electives, including topics in pharmacology, bioinformatics, programming, and air pollution
- Participate in seminars that will expose you to state-of-the-art chemistry research
- Complete a research project, thesis, or internship
- Gain the skills and knowledge to collaborate in multidisciplinary research projects in the fields of biology, biomedical engineering, environmental engineering, mathematics, and computer science
- Be prepared to pursue a wide variety of careers in chemical, energy, pharmaceutical, materials, biomedical, or computational data analysis settings; or to pursue government or academic research