The Bachelor in Computational Science at Augustana University is an interdisciplinary undergraduate degree that combines mathematics, computer science and domain sciences to teach modelling, simulation and data‑driven problem solving. It suits students who enjoy quantitative reasoning, programming and applying computation to real scientific or engineering questions within a liberal‑arts environment.
What you'll study
This programme integrates core courses in mathematics and computer science with applied courses across the natural and social sciences. You will build proficiency in programming, numerical methods and statistical analysis, and learn to develop and validate models that address real‑world problems.
- Core mathematics: calculus sequence, linear algebra, differential equations and mathematical modelling.
- Core computer science: programming and data structures, algorithms, software engineering and scientific computing.
- Computational methods: numerical analysis, computational linear algebra, optimisation, simulation techniques and high‑performance computing concepts at an introductory level.
- Data and statistics: probability, applied statistics, data analysis and visualization for experimental and observational data.
- Domain applications: elective modules that apply computation to disciplines such as physics, biology, chemistry, environmental science, economics or psychology, allowing you to tailor the major to areas of interest.
- Capstone and research: a senior capstone project or honours thesis involving an extended modelling or software project, often carried out in collaboration with faculty or external partners.
- General education: Augustana’s liberal‑arts curriculum ensures breadth through humanities, social sciences and communication courses to develop critical thinking and writing skills.
Entry requirements
Admission to the bachelor’s programme is at the undergraduate level. Typical applicants will have completed senior secondary education with a strong record in mathematics; prior coursework in calculus and a foundation in algebra and geometry are expected. Some programming experience is helpful but not always required, as introductory programming is usually offered early in the programme.
- High school diploma or equivalent with competitive academic performance, particularly in mathematics and sciences.
- Recommended preparation: one year of calculus and courses in physics or computer science where available.
- Personal statement or essay describing interest in computational science and any relevant projects or experience.
- International applicants will need to demonstrate English proficiency through recognised tests unless exempt; additional documentation may be required to support transfer or advanced standing.
- Transfer students: college transcripts and evidence of completed college‑level maths and computing courses are reviewed for placement and credit.
Career prospects
Graduates are prepared for roles that require computational thinking, quantitative analysis and software skills. Common career paths include:
- Scientific or research programmer and simulation engineer in academic, government or industrial research settings.
- Data analyst, data scientist or business intelligence analyst in sectors such as healthcare, finance, environmental consulting and technology.
- Modelling and forecasting roles in climate science, ecology, engineering and public policy.
- Software development and systems engineering positions where strong numerical and algorithmic foundations are valued.
- Further study: many graduates pursue graduate degrees in computational science, applied mathematics, computer science, engineering or specialised sciences.
Why study at Augustana University
Augustana offers a liberal‑arts setting with small class sizes and close faculty mentorship, which benefits students undertaking interdisciplinary and research‑oriented work. The university emphasises undergraduate research and experiential learning, giving computational science majors opportunities to work on faculty‑led projects, summer research or internships with industry and regional partners.
- Hands‑on learning through lab courses, computational projects and a required capstone that demonstrates applied skills.
- Access to faculty across mathematics, computer science and science departments who collaborate on interdisciplinary teaching and supervision.
- Support for internships and career development through the university’s career services and local employer connections.
- Flexibility to combine the major with minors or concentrations across science and arts disciplines, reflecting Augustana’s liberal‑arts approach.
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