Doane University

What you'll study

The Applied Computer Science degree combines foundational computer science principles with applied software development, systems, and data-oriented coursework. Students build technical skills through a sequence of core modules and electives, laboratory work and a culminating capstone or practicum.

• Core programming and computing: introductory and intermediate programming (often in languages such as Python and Java), data structures and algorithms, object-oriented design and software engineering principles.
• Systems and infrastructure: computer organisation, operating systems, networking fundamentals, and introduction to cloud services and system administration.
• Data and databases: database design and SQL, data management, data visualisation and introductory data analytics.
• Applied topics and electives: web and mobile application development, human–computer interaction, cybersecurity fundamentals, and electives that may include machine learning, game programming, embedded systems or IoT topics depending on faculty offerings.
• Mathematics and supporting science: discrete mathematics, calculus or applied mathematics and statistics to support algorithmic thinking and data work.
• Capstone/practicum: a year‑long or semester capstone project or practicum emphasising team-based software development, real client projects or research under faculty supervision.
• Experiential learning: internships, cooperative placements and opportunities for undergraduate research or community-based computing projects are integrated into the programme.

Entry requirements

Applicants are expected to hold a secondary school diploma or equivalent. Typical preparation includes high school mathematics (algebra and pre-calculus; calculus recommended), and coursework in science and computer studies if available. Admissions consider an overall academic record, recommendations and a personal statement outlining interest in computing.

• Successful completion of secondary education or equivalent qualification.
• Recommended preparation: strong background in mathematics and any prior programming or computer science experience.
• Transfer applicants should provide college transcripts; prior computing coursework can count toward programme requirements subject to departmental review.
• Some students may be asked to take placement assessments in mathematics or introductory programming to determine appropriate first-year courses.

Career prospects

Graduates are prepared for a range of technology roles in industry, government and non-profits. The programme’s applied focus and internship opportunities support direct entry into technical positions as well as continued study.

• Software developer or engineer (web, mobile or backend development).
• Systems analyst, IT support engineer or network administrator.
• Data analyst, database administrator or junior data engineer.
• Cybersecurity analyst or information assurance roles.
• Technical consultant, product or project roles in small to medium enterprises and start-ups.
• Further study: some graduates pursue postgraduate qualifications in computer science, information systems or specialised technical masters programmes.

Why study at Doane University

Doane offers a liberal arts–informed approach to applied computing, emphasising small class sizes, close faculty mentoring and hands-on projects. The campus environment supports undergraduate research and personalised guidance on internships and career planning.

• Faculty access: small cohorts and accessible faculty let students receive one-to-one mentoring on projects and research.
• Experiential focus: strong emphasis on internships, client projects and capstone work that build practical portfolios employers value.
• Cross-disciplinary opportunities: students can combine computing study with courses in business, science, education or the arts to broaden career options.
• Career support: institutional career services and industry partnerships assist with internship placement, job search preparation and networking.
• Flexible pathways: transfer credit, credit for prior learning and options for accelerated or part‑time study allow students to adapt the programme to their needs.