Bachelor in Data Science and Statistics

Tuition fees are 21,630 USD per year; applications for the Aug 2027 intake are open until Mar 5, 2027.

The Bachelor in Data Science and Statistics at Minerva University is a 4-year program for students who want to learn how to analyze and interpret large amounts of data. This English-taught degree helps students develop strong skills in statistics, machine learning, and stochastic modeling.

The curriculum focuses on hands-on learning, covering subjects like data analysis, statistical modeling, and machine learning. Students develop skills in data interpretation, problem-solving, and critical thinking, preparing them for a career in data-driven fields.

Graduates of this program can pursue careers as Data Analysts, Business Intelligence Developers, Quantitative Analysts, or Statistical Consultants, working in industries like finance, healthcare, or technology. They can work for companies like Google, Microsoft, or IBM, applying their skills to drive business decisions and solve complex problems.

Minerva University, founded in 2012, offers an innovative undergraduate pathway centered on the Minerva Baccalaureate and a global, discussion-based learning model. With a compact student body of about 660 learners, all of whom study in an international cohort, Minerva emphasizes active participation and critical thinking over traditional lectures. The university is designed for students who seek rigorous intellectual training combined with a global outlook.

The Minerva curriculum relies on small, interactive seminars that develop analytical reasoning, effective communication and practical problem solving across disciplines. Courses are delivered through a proprietary online platform that supports real-time discussion and collaboration, and the program count reflects a focused set of offerings aligned with contemporary career needs. Faculty guide students through project-based work that bridges theory and applied practice.

Students at Minerva benefit from close mentorship, personalized advising and a tight-knit community that supports academic ambition and global perspectives. The model suits self-motivated learners who thrive in seminar environments and who value transferable skills for careers in technology, policy, entrepreneurship and research. Prospective applicants should highlight intellectual curiosity, teamwork and readiness for intensive discussion-driven study.