COURSE CURRICULUM

The Genetics (Genomics option) major at the University of New Hampshire is an advanced, highly specialized version of the standard genetics program that places extra emphasis on computational biology, genome analysis, and modern biotechnology, and its structure clearly reflects the demands of today’s data-driven life sciences industry by combining strong foundational science with programming and bioinformatics skills; students complete a rigorous set of seven foundation courses in chemistry, organic chemistry with lab, calculus, biostatistics, and physics, which builds the quantitative and analytical base required for understanding complex genomic systems, followed by six bioscience core courses covering molecular biology, genetics principles, microbiology, cell biology, and biochemistry, ensuring a deep understanding of how genes function at the cellular and organism level; the genetics core then focuses on applied and modern topics such as genomics, bioinformatics, and laboratory-based genetics work, where students gain hands-on experience analyzing DNA and working with computational tools, and importantly, this genomics track requires specific electives like programming for bioinformatics and comparative genomics, which clearly distinguishes it from the regular genetics major by preparing students to work with large-scale genetic data and genome sequencing technologies; beyond this, students choose additional electives in areas like molecular evolution, microbial ecology, or plant genetics, allowing some flexibility while still maintaining a strong genomics focus, and many elective options include research-based courses, encouraging direct involvement in lab work or independent projects; the program culminates in a capstone experience, often involving research, a thesis, or advanced lab work, where students integrate all their knowledge into a real-world scientific project; overall, this degree is ideal for students aiming for cutting-edge careers in genomics, biotechnology, bioinformatics, and biomedical research, or planning further study in fields like medicine, genetic counseling, or computational biology, but it is more demanding than a typical biology degree because it requires both strong lab skills and the ability to handle programming and data analysis, making it best suited for students who are interested in both biology and technology.