The College of New Jersey

What you'll study

Coursework centers on practical and theoretical aspects of data science and computing. Topics explicitly included are data wrangling, data storage, visualization, and core machine learning techniques such as linear modeling, clustering, and dimensionality reduction. The program structure supports collaborative, cross-disciplinary projects that mirror professional practice.

Entry requirements

The source material does not list specific admissions criteria. Prospective students should consult the college's admissions pages for application details and prerequisites.

Career prospects

Graduates leave prepared for roles that commonly do not require a graduate degree. Typical positions named include data analyst, data engineer, machine learning engineer and data science generalist. Employers span biotechnology, defense and military, energy, healthcare, telecommunications and transportation. Internship experiences frequently lead to full‑time offers for students who complete summer placements.

Scholarships & funding angle

While the program page notes experiential and research opportunities, it does not specify scholarships. Applicants should explore TCNJ-wide financial aid, departmental awards, and internship-funded placements as potential support mechanisms.