Salisbury University

What you'll study

The degree blends core computing and mathematical foundations with applied data science coursework and experiential learning. Students complete general education requirements alongside major coursework that develops skills in programming, statistical modelling, data management and visualisation.

• Core computing: introduction to programming (commonly Python), data structures and algorithms, software engineering fundamentals and database systems.
• Mathematics and statistics: calculus, linear algebra, probability and inferential statistics to underpin modelling and machine learning methods.
• Data science and engineering: courses in machine learning, data mining, data visualisation, big data architectures, and applied predictive analytics.
• Applied and ethical context: training in data ethics, privacy, reproducible research and domain-specific applications such as health informatics, environmental data analysis or business analytics.
• Capstone and experiential learning: senior project or capstone practicum where students work on real datasets, plus opportunities for internships, undergraduate research and collaborative industry projects.
• Electives and minors: students may choose electives or minors to deepen domain expertise (for example in biology, business, or geography) to complement technical skills.

Structure

The programme typically includes a sequence of introductory courses in the first year, intermediate computing and statistics in the second year, advanced data science topics and electives in the third year, and a culminating capstone in the final year. Lab-based assignments, group projects and applied datasets are emphasised throughout.

Entry requirements

Applicants should hold a high-school diploma or equivalent with a strong preparation in mathematics. Successful candidates commonly demonstrate competence in algebra and precalculus; prior experience with programming or computing is advantageous but not always required.

• Academic record: a competitive high-school transcript with solid grades in mathematics and science.
• Supporting materials: application form and high-school/college transcripts; some applicants submit a personal statement describing interest in data science and any relevant projects or coursework.
• International applicants: an equivalent secondary credential and evidence of English proficiency (for example recognised tests or institutional proof) where applicable.
• Transfer students: college or university coursework in mathematics and computing can be evaluated for advanced standing; transfer credit policies apply.

Career prospects

Graduates enter a broad range of technical and analytical roles across private, public and non-profit sectors. The emphasis on both computational and statistical skills prepares students for immediate employment or further study.

• Common job titles: data analyst, data scientist, data engineer, machine learning engineer, business analyst, statistical analyst, software developer.
• Employers and sectors: healthcare and life sciences, finance, government and public policy, environmental and agricultural organisations, technology firms, and consultancies.
• Further study: many graduates pursue graduate degrees in data science, computer science, statistics, or specialised professional programmes.

Why study at Salisbury University

Salisbury University offers a focused undergraduate environment with small class sizes and accessible faculty, allowing hands-on training and close mentorship. The university emphasises applied learning through labs, internships and a capstone experience that connects students with regional employers and research opportunities.

• Practical focus: curriculum designed for applied projects and real-world datasets, with opportunities for undergraduate research and internships.
• Faculty and facilities: faculty with active teaching and applied research interests, supported by computing labs and software tools common in industry.
• Regional connections: partnerships with local businesses, healthcare providers and government agencies on the Eastern Shore provide internship and project opportunities.
• Student support: academic advising, career services and student organisations that provide networking, hackathons and professional development.