Bachelor in Computer Science and Master of Data Science (Vertical Dual Degree)

The University of Queensland combines strong research, a broad array of programs and a welcoming campus culture that supports international students. As a well-established research university, UQ provides modern laboratories, libraries and learning spaces across its faculties, enabling students to pursue undergraduate and postgraduate study in sciences, engineering, business, health and the humanities. The university encourages global engagement through study abroad options and collaborative research projects.

Students benefit from a supportive academic environment where experienced faculty and robust student services assist with course planning, language support and career readiness. UQ emphasizes experiential learning and industry connections, offering internships, research placements and entrepreneurial opportunities that enhance employability. Campus life is active, with student clubs, cultural events and services that help international students build networks and integrate into university life.

Located in Queensland, the university provides access to regional industry hubs, research partnerships and vibrant city amenities. With a strong focus on innovation and sustainability, UQ equips graduates with practical skills and a global perspective. International students seeking a research-led education with opportunities for hands-on learning and professional development will find a welcoming, resource-rich environment at the University of Queensland.

The Bachelor in Computer Science and Master of Data Science is a vertical dual degree program for students who want to learn about computer science and data science. It's a 4-year program that helps students develop advanced skills in both areas. The program is taught in English at the University of Queensland in Australia.

The curriculum includes subjects like computer systems, data mining, and machine learning, as well as data science courses like statistical modeling and data visualization. Students will develop skills in programming, data analysis, and problem-solving, and will learn to work with large datasets. The program also includes hands-on components like projects and internships to help students gain practical experience.

Graduates of this program can work as data scientists, software engineers, business intelligence analysts, data architects, or IT consultants. They can work in various industries like finance, healthcare, or technology, and can be employed by companies like banks, hospitals, or tech startups.