Biology & CS Degree (Career Pathways)
A biology and computer science degree combines life-science knowledge with programming, statistics, and data analysis. You can pursue it through bioinformatics, computational biology, an interdisciplinary major, or a double major. The best route depends on your career goal, course plan, cost, and time to graduate. Check each program’s accreditation and requirements before applying.
If you are choosing between biology, computer science, or both, start with the work you hope to do. Do you want to analyze DNA data, build software for research, work in a biology lab, or prepare for graduate school? Those goals call for different mixes of science, coding, and math.
I compare these programs by what students study and what they can do with the training. A degree title alone cannot show whether a program teaches the skills you need. Look at required courses, projects, internships, published outcomes, and the total time and cost to graduate.
Biology and Computer Science Programs: Admissions, Accreditation, and Program Options
This section explains the main ways colleges combine biology and computing, how to check whether a school is accredited, and what to review before applying. There is no single admissions standard for this field. Requirements, program names, and entry rules vary by college and application cycle.
Common program routes
- Bioinformatics uses computing and statistics to study biological data, such as DNA sequences. Programs often blend biology, programming, and quantitative courses.
- Computational biology uses mathematical and computer models to answer questions about living systems. Some programs focus more on modeling, while others overlap with bioinformatics.
- An interdisciplinary major combines courses from biology and computer science under one degree plan. Course balance varies, so check the catalog.
- A double major completes the requirements for two majors. It may provide broad training, but labs and upper-level course prerequisites can add credits and time.
Before applying, check the school’s accreditation in the U.S. Department of Education’s Database of Accredited Postsecondary Institutions and Programs or CHEA’s directory. Institutional accreditation is different from program-level review. ABET accreditation can be an added consideration for some computing programs, but it is not a universal requirement for computer science, biology, or bioinformatics.
There is no national GPA, test-score, or class-rank cutoff for this combination. Use each college’s current first-year or transfer profile and its published program requirements. Check whether admission to the university also guarantees a place in the major, or whether you must apply to the major after enrolling.
For preparation, build a base in biology, chemistry, math, and computing. Some programs expect calculus or programming before students can start upper-level courses; others offer placement or introductory courses. Confirm course sequences and prerequisites in the catalog.
Planning comparison
| Route | Useful when you want to… | Questions to ask |
|---|---|---|
| Bioinformatics major | Work with biological data and software | Are statistics, programming, genomics, and databases required? |
| Computational biology major | Model biological systems or study data | How much math, biology, and coding does the plan include? |
| Biology major plus CS courses | Keep biology central while gaining coding skills | Do CS courses count toward the major or electives? |
| Biology and CS double major | Complete substantial study in both fields | How many extra credits and terms will it take? |
Next step: Compare the actual course lists, not just the program names. Request a sample degree plan and ask how students gain research or internship experience.
Degree Curriculum, Prerequisites, Credit Requirements, and Capstone
A strong curriculum teaches you to understand biological questions and use computing tools to investigate them. The exact balance differs across colleges. Review required courses, lab work, math and statistics, and the final project to see whether the program matches your intended work or further study.
A typical plan may include general biology, chemistry, calculus or another math sequence, introductory programming, data structures, statistics, and upper-level courses in genetics or genomics. Some programs also require databases, algorithms, or machine learning. These are common areas to check, not a universal checklist.
A prerequisite is a course or skill you must complete before taking another course. Prerequisites can create a tight sequence: a programming course may be needed before data structures, while introductory biology may be required before genetics. Ask an adviser to map these sequences across semesters, including when labs are offered.
Many U.S. bachelor’s programs require about 120 semester credits, or an equivalent number of quarter credits. The college catalog and degree audit set the real requirement. A double major may require more, especially when biology labs and advanced CS courses have few shared credits.
A capstone is a final project or course that applies skills from the degree. In this field, a project might involve analyzing a biological dataset or developing a tool for research. Ask who supervises projects, what software or data students use, and whether students can share work in a portfolio.
A sample planning check
| Milestone | What to verify |
|---|---|
| Before enrollment | Math placement, programming entry course, and science prerequisites |
| First-year plan | Whether biology, chemistry, and CS foundations fit without schedule conflicts |
| Before the second year | The sequence for data structures, statistics, genetics, and labs |
| Before choosing a second major | Added credits, course overlap, residency rules, and likely graduation term |
| Before graduation | Degree-audit completion, capstone requirements, and remaining costs |
For transfer students, get a written transfer-credit evaluation before committing. A course may transfer as general credit but not meet a major requirement. This matters especially for technical courses, lab courses, and credits from institutions whose accreditation the receiving school does not recognize.
Model total cost using the expected graduation date, not only the number of credits already completed. Include tuition, fees, living costs, aid-renewal rules, and any extra terms. Ask whether required courses are offered every term or only once a year.
Next step: Request a term-by-term plan and written review of transfer credits. Update the plan if a prerequisite, lab, or course rotation could delay graduation.
Academic Success, Research, Internships, and Student Experience
Success in this degree path depends on steady work across more than one subject. Students often need to learn lab concepts, programming, and quantitative reasoning at the same time. Early planning, regular practice, and access to research or project work can help connect those skills.
If you are new to coding, start with the first programming course offered or recommended by the department. Practice by writing small programs and explaining what they do. If math is a concern, ask about placement, tutoring, or a bridge course before registration.
Research can help you test whether you enjoy this work. A biology lab may need help organizing or analyzing data; a computing group may develop tools for scientific research. Ask faculty how undergraduates join projects, what skills are expected, and whether positions are paid, for credit, or volunteer.
Internships and co-ops can offer experience outside a classroom. Search university career services, research centers, hospitals, biotechnology firms, public agencies, and nonprofit organizations. Roles and eligibility vary. Some positions may expect prior programming, lab, or statistics experience, so check postings early and identify skills you can build first.
Illustrative planning scenarios
- A student interested in genome data might choose a bioinformatics major, take programming and statistics early, then seek a genomics research project. The key check is whether the program includes both biological context and data skills.
- A student who wants to build research software might choose computer science with biology coursework or an interdisciplinary major. The key check is whether the student can access biology labs or research teams.
- A transfer student with biology credits might add computing courses, but should first learn which courses satisfy major requirements. A written evaluation can reveal whether the plan adds a term or more.
These are planning examples, not promises about admission, job placement, or time to degree. Each college’s course rules and each employer’s requirements differ.
Next step: Set a meeting with both biology and computing advisers. Bring your course record and ask for one plan tied to your career goal and another that allows a related backup path.
Career Pathways, Employment Outcomes, and Graduate Study
Graduates can pursue work in life sciences, health research, software, data analysis, or further study. The degree’s value depends on the skills you gain and the role you seek. Job titles and requirements vary, so compare real postings and outcome data rather than assuming every graduate follows the same path.
| Pathway | How the degree may apply | Further preparation to check |
|---|---|---|
| Bioinformatics analyst | Organize and analyze biological data | Programming, statistics, genomics, and experience with research data |
| Research assistant | Support lab or data-based studies | Lab methods, data handling, and experience relevant to the research area |
| Scientific software or data role | Develop or support tools used in science | Strong CS skills, projects, and knowledge of the users’ field |
| Computational biology research | Model or analyze biological systems | Advanced math or statistics; many research roles prefer graduate study |
| Graduate or professional study | Build deeper expertise in a chosen field | Program-specific prerequisites, research experience, and application requirements |
A bachelor’s degree can qualify you for some entry-level roles, but not all jobs in biology or computing require the same education. Research scientist roles may call for graduate training, while other roles may focus on software, data, or lab support. Check the education requirements in current job postings and the U.S. Bureau of Labor Statistics’ Occupational Outlook Handbook for relevant occupations.
When comparing outcomes, separate degree-level results from occupation-level data. College Scorecard and institutional reports can help you review cost and outcomes, but numbers may cover a broad major group or a specific graduating cohort. They do not predict an individual salary or guarantee employment. Compare roles by location, required education, and the skills employers list.
For graduate study, check admissions requirements early. A biology-focused program may expect specific science courses, while a computational program may require more math, programming, or statistics. Ask program directors whether your undergraduate course plan meets prerequisites.
Next step: Save several current job postings that interest you. Note repeated skills, then compare them with your curriculum and choose projects, electives, or internships that address gaps.
Cost, Financial Aid, and Decision Checklist
The right option is not always the one with the most impressive title. Compare net cost, likely time to completion, aid conditions, and career preparation together. A clear degree plan helps you see whether a second major or specialized program adds useful training or mainly adds credits.
File the FAFSA to apply for federal aid and applicable state or college aid. Some colleges also require the CSS Profile for institutional aid. Deadlines, scholarship rules, and aid-renewal standards vary, so check the current cycle and each school’s published policy.
Before you enroll or transfer, confirm:
- The institution’s accreditation and the degree’s specific requirements.
- The total credits, likely graduation date, and term-by-term course sequence.
- Whether labs, prerequisites, or course rotations may delay progress.
- Which transfer credits count toward the major, in writing.
- The net price, aid-renewal GPA or completion standards, and total cost to graduate.
- Whether the curriculum includes relevant statistics, programming, databases, genomics, and research or internship opportunities.
- What the school’s published career and graduate-study outcomes measure.
Bottom line: Choose the route that provides the biology and computing skills you need without an unclear or unmanageable course plan. Ask advisers to show the requirements and costs on paper before you commit.
Frequently Asked Questions
These answers address common questions about combining biology and computing. Specific rules depend on the college, degree plan, and intended career. Use them as a starting point, then confirm details in the school catalog, with an adviser, and in current job or graduate-program requirements.
Is bioinformatics the same as computational biology?
The terms overlap. Bioinformatics often centers on biological data and analysis tools; computational biology often emphasizes models and computational methods for biological questions. Program definitions vary by college.
Can I study biology and computer science in one degree?
Yes. Colleges may offer an interdisciplinary major, bioinformatics, computational biology, or a biology major with CS coursework. Check the required classes and degree audit.
Should I double major in biology and computer science?
A double major can provide broad study, but may add credits or time. Ask for a term-by-term plan and compare it with an interdisciplinary major or a major plus electives.
Do I need advanced math?
Many programs require math and statistics, and some require calculus. The level and sequence vary, so check prerequisites for the major and for courses you may need later.
Is ABET accreditation required?
No. ABET accreditation is an additional consideration for some computing programs, not a universal requirement for CS, biology, or bioinformatics. Check institutional accreditation separately.
How many credits does the degree require?
Many U.S. bachelor’s programs require about 120 semester credits or a quarter-credit equivalent. Your college’s catalog sets the actual requirement; a double major may require more.
Can I transfer into one of these programs?
Often, but transferred credits may count as electives rather than major requirements. Get a written evaluation before enrolling and confirm how the credits affect graduation time.
What jobs can I pursue with a bachelor’s degree?
Possible paths include data, software, lab-support, and research-assistant roles. Requirements vary by employer; some research careers require graduate study.
Should I choose the degree with the highest reported salary?
Not from that figure alone. Check what group the data covers, the location, further-study needs, net price, and whether the curriculum builds skills used in jobs you want.
(This article was written by one of our staff writers, Michael Harrington. Visit our Meet the Team page.)
