Biochemistry with Artificial Intelligence
Explore molecular science and AI to advance discovery in biotechnology, pharmaceuticals, and biomedical research.
Advance Discovery at the Molecular Level
Combine laboratory science, molecular modeling, and AI to investigate proteins, drug candidates, and the complex chemistry of living systems.
Program Overview
ÐÓ°ÉÔ´´ Tech’s B.S. in Biochemistry with Artificial Intelligence brings together chemistry, biology, laboratory research, and computational methods. Develop the scientific depth to understand molecular systems and the AI skills to investigate data, evaluate models, and pursue new approaches to discovery.
AI is creating new possibilities across the drug-development lifecycle, from molecular research to clinical and manufacturing applications. The emphasize scientific expertise, data provenance, validation, and a clearly defined context of use. These are the skills that help turn promising predictions into credible scientific evidence.
The program combines biology and chemistry foundations, advanced laboratory work, computational study, AI fluency, and responsible research practice. Build the ability to connect molecular evidence with modern analytical methods and communicate scientific findings with precision.
Explore how AI supports protein analysis, molecular modeling, drug-candidate screening, and biological-data interpretation. Develop the judgment to assess model performance, data quality, and scientific credibility while protecting sensitive research information and intellectual property. The illustrate the growing importance of these capabilities across the field.
What You’ll Learn
- Build strong foundations in chemistry, biology, metabolism, molecular processes, and laboratory research.
- Explore computational and AI-assisted approaches to molecular and biological data.
- Assess data quality, provenance, bias, missingness, and the limitations of research datasets.
- Evaluate models for their intended use, predictive performance, uncertainty, and scientific credibility.
- Protect sensitive data, unpublished results, and intellectual property in research workflows.
- Connect AI-assisted analysis with experimental design, scientific interpretation, and responsible authorship.
Career Opportunities
Prepare for opportunities in biotechnology, pharmaceutical research, computational biology, laboratory science, and scientific data analysis. The combination of molecular expertise and AI fluency is increasingly relevant to research teams working across experimental and computational methods.
Build a foundation for careers in life-science research and technology, as well as graduate or professional study. Advanced research and many specialized scientist roles require additional education.
- Biochemistry Research Associate
- Computational Biology Analyst
- Drug Discovery Research Scientist
The 120–121-credit curriculum combines biology and chemistry foundations, mathematics, physics, advanced laboratory and computational study, core requirements, IPRO, and both nine-credit AI certificates. CHEM 456 is a particularly relevant bridge between the disciplines.
ÐÓ°ÉÔ´´ Tech reviews applicants holistically, considering academic preparation, course rigor, essays, and program-specific criteria. First-year applicants submit an application, high-school transcripts, and required materials; SAT and ACT scores are optional. Recommended preparation includes four years of English, four years of mathematics, and three years of laboratory science. Transfer applicants are assessed on previous college work and preparation for their selected major. Strong preparation in chemistry, biology, mathematics, and laboratory science is recommended.
Review the for complete first-year, transfer, and international requirements and current deadlines.
Tuition and Fees
Learn more about the university’s general tuition and fees on the Student Accounting website.
Review current costs and financial aid, and explore the undergraduate net price calculator.