Master in Data Science

Rowan University, founded in 1923 and based in Glassboro, is known for combining strong academic programs with applied research and community engagement. Enrolling nearly 19,600 students, including international learners, Rowan emphasizes hands-on learning, innovation and preparation for professional careers. The university offers a wide array of undergraduate and graduate programs across disciplines and encourages students to integrate research, internships and service into their studies.

Rowan's educational approach highlights experiential projects, close faculty mentoring and partnerships that connect classroom learning to real-world challenges. Students frequently participate in research initiatives, industry collaborations and community-focused work that enhance employability and practical skills. The campus culture promotes collaboration, leadership development and opportunities to engage with faculty on applied research.

International and domestic students alike find support through advising, career services and campus activities designed to ease academic transition and professional development. Prospective students seeking a university with a clear emphasis on career readiness, applied learning and meaningful community connections will find Rowan offers a balance of academic rigor and practical experience to launch successful careers.

The Master in Data Science at Rowan University is a degree program for students with a background in STEM fields who want to pursue a career in data science. This master's degree takes one year to complete and is taught in English. The program provides a strong foundation in data mining, modeling, and statistical and machine learning.

The curriculum covers data mining, modeling, and statistical and machine learning, and is built on industry needs and guidelines from the Commission on Accreditation for Health Informatics and Information Management Education and the Technology Accreditation Commission of the Accreditation Board for Engineering and Technology. Students develop skills in data analysis and interpretation, and learn to apply these skills to real-world problems.

Graduates of this program can work as Data Scientists, Data Analysts, Business Intelligence Developers, Quantitative Analysts, or Data Engineers. They can find jobs in various industries, including finance, healthcare, and technology, and work for employers such as consulting firms, research institutions, or tech companies.