LSUA Launches Accelerated Bachelor’s Degree in Bioinformatics

New Online Program Combines a Biology-First Approach with Computing, Data Science, and AI

LSUA is launching an accelerated baccalaureate (AccB) in bioinformatics, offering a flexible, fully online, 90-credit degree combining biology, computing, data analysis, and artificial intelligence (AI). Designed for transfer students, working adults, and career changers, the program builds practical skills for opportunities in biotechnology, healthcare, genomics, and clinical research.

As demand grows for professionals who connect biological science with technology, LSUA’s AccB in Bioinformatics prepares students to apply computational tools and data-driven approaches to challenges in the life sciences. Explore the program to learn how this interdisciplinary degree can help you build skills for a technology-driven field.

What Is Bioinformatics?

Bioinformatics combines biology, computing, and data science to analyze and interpret complex biological information. Researchers use these methods to study genetic sequences, identify patterns in biological datasets, and support advances in precision medicine, healthcare, agriculture, and environmental science.

As genomics and biotechnology generate increasingly large datasets, professionals who understand biological systems and computational analysis help turn data into scientific insights. LSUA’s program develops foundational skills to prepare students for opportunities across data-driven life-science fields.

A Biology-First Approach to Learning

LSUA’s biology-first curriculum grounds students in molecular biology and genetics before connecting those concepts with programming and data analytics. Beginning with authentic biological questions, students learn how computational methods can support scientific research and address challenges in life sciences. The focused 90-credit curriculum combines essential coursework in biology, computing, and data science in an accelerated, fully online format.

Coursework incorporates industry-relevant bioinformatics tools, biological databases, and programming languages such as R and Python. By applying these tools to biological data, students develop practical skills in analyzing genetic sequences, identifying patterns, and interpreting complex biological information.

AI-Integrated Coursework and Hands-On Learning

AI-integrated coursework explores how artificial intelligence can support sequence analysis, biological annotation, workflow development, and data interpretation while teaching students to use AI tools responsibly.

Applied projects give students opportunities to analyze biological data and communicate their findings. The program also recommends an internship, practicum, research experience, or industry-sponsored capstone to connect classroom learning with practical workforce experience.

Throughout the curriculum, students develop career-relevant skills in biological data analysis, programming, data visualization, scientific communication, project management, and interdisciplinary teamwork.

Preparing Students for Technical and Analytical Roles

The Bureau of Labor Statistics projects employment of data scientists to grow 35% from 2025 to 2035, much faster than the average for all occupations. Although this projection covers data science broadly, it reflects the growing importance of analytical skills across industries, including biotechnology, genomics, and precision medicine.

LSUA’s AccB in Bioinformatics is designed to prepare graduates for technical and analytical roles in biotechnology, healthcare, clinical research, and related life-science environments.

Take the Next Step Toward a Career in Bioinformatics

With its accelerated 90-credit structure, fully online format, biology-first curriculum, and AI-integrated coursework, LSUA’s bachelor’s degree in bioinformatics offers a focused way to develop skills at the intersection of biology, technology, and data science.

Discover how the AccB in Bioinformatics from LSUA can help you develop the skills to pursue opportunities in biotechnology, healthcare, and life sciences.