Pace University

What you'll study

The programme blends foundations in information theory and technology with applied coursework in data, systems and people-centred design. Core topics typically include information retrieval and organisation, database design and management, data analytics and visualisation, human–computer interaction, systems analysis, and information ethics and policy. Students choose from electives or specialisms such as data science and analytics, user experience (UX) and interaction design, information architecture, cybersecurity fundamentals for information professionals, or information governance.

Most students complete a mixture of coursework and a culminating experience: options commonly include a capstone project with an industry partner, a practicum or internship in a workplace setting, or a research thesis for those considering further study. Classes emphasise hands-on practice with contemporary tools for data processing, query and visualisation, usability testing, and information modelling.

Entry requirements

Applicants should hold a recognised bachelor’s degree from an accredited institution. Degrees in computer science, information systems, library and information science, mathematics, social sciences or related fields are commonly accepted; applicants from other backgrounds are considered if they can demonstrate quantitative or technical aptitude and relevant experience.

Typical application materials include academic transcripts, a personal statement outlining professional goals and reasons for choosing the programme, a current résumé or CV, and one or more letters of recommendation. Where applicable, applicants must demonstrate proficiency in English through an accepted test or prior study in English. Some applicants may be asked to provide evidence of prior coursework or experience in mathematics, statistics or basic programming; remedial or preparatory courses are sometimes available for those missing specific prerequisites.

Career prospects

Graduates move into a broad set of roles across public, private and non-profit sectors. Common job titles include data analyst, information analyst, information architect, user experience (UX) researcher or designer, systems analyst, knowledge manager, content strategist and product manager. Alumni also find roles in digital libraries, archives, records management and information governance, as well as in analytics teams, consulting firms and technology start-ups.

The programme’s location and industry links help students secure internships and employer-facing projects that lead to professional opportunities. Graduates are prepared for roles that require both technical competence (data handling, querying, visualisation) and soft skills (communication, stakeholder engagement, design thinking).

Why study at Pace University

Pace University’s programmes in computing and information draw on the resources of the Seidenberg School and its connections to New York City’s technology and business communities. Students benefit from practicum and internship opportunities with regional employers, hands-on lab facilities and faculty who maintain active industry collaborations and applied research agendas.

Class sizes tend to support personalised supervision and project-based learning, and university career services provide assistance with employer outreach, CVs and interview preparation. For students seeking a practical, career-oriented master’s that combines technical training with a focus on users and organisations, Pace offers a programme structure designed to connect classroom learning with workplace experience.