Mathematics in Data Science

University of Colorado Denver is an urban research university founded in 1912 that serves roughly 15,000 students and offers an extensive selection of programs—363 across undergraduate, graduate, and professional fields. Located in downtown Denver, the campus connects students to a growing metropolitan economy, innovation hubs, and outdoor recreation in the nearby Rocky Mountains, appealing to learners who value both academic breadth and lifestyle options.

Academic strengths include interdisciplinary research, applied professional training, and strong partnerships with local industry, healthcare systems, and cultural institutions. The university provides comprehensive supports for international students, including orientation services, academic advising, English language resources, and career counseling. Student life blends urban amenities, active student organizations, and extracurricular opportunities to build networks and skills outside the classroom.

Graduates benefit from extensive internship possibilities, employer engagement initiatives, and a competitive regional job market, especially in technology, health professions, and business. Prospective international applicants should prepare official transcripts, any required language documentation, and financial information as part of the admissions process. Early outreach to academic departments and international services will help tailor program choices and experiential opportunities to individual career objectives in this dynamic, city-based institution.

The Mathematics in Data Science program is a non-degree program for students who want to learn about math and its applications in data science. It's a one-year program at the University of Colorado, Denver, taught in English. This program helps students develop math skills and learn how to apply them to real-world problems.

The curriculum focuses on math subjects like algebra, calculus, and statistics, as well as data science topics like machine learning and data visualization. Students will develop skills in data analysis, problem-solving, and critical thinking. The program includes hands-on components, such as working with datasets and creating models.

Graduates of this program can work as Data Analysts, Math Teachers, or Statistical Consultants. They can work in industries like finance, healthcare, or technology, helping to analyze and interpret data. Other potential job titles include Biostatistician or Quantitative Analyst.