Clarkson University

What you'll study

The programme combines core information science topics with hands-on technical training and project work. Core themes include data management and governance, information retrieval, database design, programming for data applications, statistical and machine learning methods for information analysis, human–computer interaction and information policy and ethics.

• Database systems and data modelling
• Data analytics and visualization
• Machine learning and predictive modelling
• Information retrieval and search technologies
• Human–computer interaction and user-centred design
• Networked and distributed information systems
• Information policy, privacy and ethics
• Research methods and applied project management

Students typically complete a combination of required courses and electives, and choose between a research thesis or a professionally oriented capstone/project option. Coursework emphasises applied learning: laboratory work, team projects with real datasets, and opportunities to engage with industry-sponsored problems.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree. Degrees in computer science, information systems, engineering, mathematics, statistics or related quantitative fields are preferred, but candidates from other disciplines with strong quantitative or computing skills will also be considered. Typical supporting materials include academic transcripts, a personal statement outlining your experience and goals, and letters of recommendation.

Relevant professional experience can strengthen an application. International applicants must demonstrate English language proficiency through an approved test unless exempt. Some applicants may be asked to demonstrate programming or quantitative competency; preparatory coursework can be recommended for those who need to build foundational skills.

Career prospects

Graduates leave prepared for a broad set of information-focused roles across public and private sectors. Common career paths include:

• Data analyst / data scientist
• Information architect or information manager
• Systems analyst / business analyst
• Database administrator or data engineer
• UX researcher or user experience designer
• Cybersecurity analyst and privacy specialist (with relevant electives)
• IT project manager or technical consultant

Clarkson’s emphasis on applied projects, internships and industry collaboration helps graduates build portfolios and professional networks that facilitate entry and progression into these roles.

Why study at Clarkson University

Clarkson is known for its applied, career-focused graduate programmes and strong links with industry. The university offers small class sizes, access to modern computing and lab facilities, and faculty with research and professional experience in information science and related fields. Students benefit from supervised capstone projects, internship and co‑op opportunities, and career services that support employer engagement and professional development.

The campus environment supports interdisciplinary collaboration across engineering, business and computing, enabling information science students to work on practical problems with peers from complementary disciplines. This practical orientation, combined with opportunities for research or professional project work, makes Clarkson a suitable choice for those aiming to build immediately applicable skills for information-driven roles.