Master in Data Science

Saint Peter’s University in Jersey City, founded in 1872, is a Jesuit institution that blends rigorous academics with a commitment to ethics, social justice and personal formation. Serving a diverse student body, Saint Peter’s offers liberal arts and professional programs in a close-knit campus environment. Its urban location provides direct access to internship, cultural and networking opportunities in the New York metropolitan region while preserving personalized faculty mentorship and community engagement.

The university’s curriculum emphasizes critical thinking, service and real-world preparation across disciplines, supported by faculty with both scholarly and professional experience. Small class sizes and advising relationships help students navigate academic choices, secure internships and pursue research or community-based projects. Saint Peter’s also prioritizes civic engagement and leadership development through structured service programs and campus initiatives.

International students are supported with admissions counseling, orientation, academic support and career services to ease transition and enhance employability. Saint Peter’s combination of ethical formation, hands-on learning and urban opportunities appeals to students seeking meaningful education with practical outcomes. Prospective applicants should consult admissions for program details, visa guidance and scholarship information to plan a successful start at the university.

The Master in Data Science program at Saint Peter's University is for students who want to uncover new knowledge from data. This Master's degree helps students make an impact on various fields including business, health, science, and the arts.

The curriculum focuses on teaching students how to extract insights from data and apply them to real-world problems. Students develop skills in data analysis, machine learning, and visualization, preparing them for a career in data science.

Graduates can pursue jobs like Data Scientist, Business Analyst, or Quantitative Analyst. They can work in industries like finance, healthcare, or technology for employers like research institutions, consulting firms, or tech companies.