Healthcare & Life SciencesGrowing Study ProspectsBachelor

Computational Biology

Also known as: Bioinformatics, Quantitative Biology

A program that focuses on computational theoretical approaches to understanding biological systems, including computational models of biological processes, computational management of large-scale projects, database development and data-algorithm development, and high-performance computing, as well a
Computational BiologyBioinformaticsGenomicsBiostatisticsData ScienceComputer ScienceLife SciencesHealthcareScienceManagement

High School Preparation

Required Subjects

Mathematics (Calculus)BiologyChemistryComputer Science

Recommended GPA

3.5-4.0

Advanced Courses (AP/IB/Honors)

  • AP Biology
  • AP Computer Science A
  • AP Calculus BC
  • IB Mathematics HL

Core Subjects

Click on "i" to learn more about each subject

Career Prospects

Growing Study Prospects
Graduates secure roles as computational biologists, bioinformaticians, data scientists, and research scientists in pharmaceutical companies, biotechnology firms, and academic research institutions. They are vital in advancing personalized medicine, drug discovery, and agricultural genomics.

Impact of AI on this Study

AI significantly enhances computational biology by accelerating drug discovery, improving diagnostic accuracy, and enabling complex genomic data analysis through machine learning algorithms and predictive modeling. It automates analysis and uncovers novel patterns in massive biological datasets, revolutionizing research and development.