Bachelor in Data Science (Engineering Track)

University of California, Riverside (UCR), founded in 1954 and located in Riverside, United States, is a dynamic public research university with about 26,434 students and a growing international community of nearly 2,000. UCR offers a broad range of 103 programs spanning STEM, social sciences, arts and professional fields, combining rigorous academics with an emphasis on research and innovation. Its scale provides both diverse course options and strong student services tailored to global learners.

UCR is recognized for research impact and interdisciplinary collaboration, with faculty-led projects, research centers and community partnerships that connect classroom learning to real-world challenges. Students benefit from labs, libraries and career development support, along with internship pipelines into regional industries. Graduate and undergraduate students alike can access mentorship, research assistantships and opportunities to publish or present work at conferences.

The campus culture blends academic ambition with a vibrant student life: clubs, cultural groups and athletics foster engagement and well-being. Riverside’s proximity to Southern California job markets and cultural hubs enhances placement and experiential learning opportunities. International applicants will find tailored advising, orientation programs and housing assistance to support a smooth transition and a productive academic experience.

The Bachelor in Data Science (Engineering Track) at University of California, Riverside is a 4-year program for students who want to earn a degree in data science with an engineering focus. This program is taught in English and can be taken online.

The curriculum covers subjects like machine learning, data mining, and software engineering. Students will develop skills in programming, data analysis, and problem-solving, and get to work on projects that involve designing and building data-driven systems.

Graduates can become Data Scientists, Software Engineers, Data Engineers, Business Intelligence Analysts, or Data Architects. They can work in tech companies, consulting firms, or research institutions.