Master in Data Science

The University of St. Thomas in Minnesota, founded in 1885, combines a long academic tradition with a focus on ethical leadership and community engagement. Serving around 5,900 students, including international learners, St. Thomas fosters a supportive, close-knit environment where rigorous academics and personal development go hand in hand. The university emphasizes holistic education that prepares students to think critically and act responsibly in professional and civic life.

St. Thomas offers a broad range of undergraduate and graduate programs across liberal arts, business, education and professional disciplines, featuring experiential learning, service projects and partnerships with local organizations. Faculty mentorship and small class sizes create accessible opportunities for research, internships and collaborative work that bridge theory and practice. Campus resources such as career services and student organizations support practical skill building and leadership development.

International students benefit from targeted advising, orientation programs, and community networks that ease academic and cultural transitions. The university’s location provides access to metropolitan internships and service-learning opportunities while preserving a campus atmosphere that values personal attention. Prospective students should review program prerequisites, connect with admissions for guidance on visas and funding, and explore how St. Thomas’ values-driven approach aligns with their goals for academic growth and civic contribution.

The Master in Data Science is a master's degree for students who want to pursue a career in data science. This program is taught in English at the University of St. Thomas, Minnesota, and takes one year to complete. You will gain theoretical and practical knowledge in data science and big data.

The curriculum covers the latest developments in the field of data science. You will learn about data analysis, machine learning, and data visualization. You will also work on projects that help you develop your skills in data science and big data.

After graduating, you can work as a Data Scientist, Data Analyst, Business Intelligence Developer, Data Engineer, or Quantitative Analyst. You will be able to work in various industries, including finance, healthcare, and technology, and help organizations make data-driven decisions.