Master in Data Science with Applied Research

Ulster University, founded in 1968 and home to around 27,000 students, is a lively choice for international learners in the United Kingdom. With 351 programs across its faculties, the university blends applied research, industry partnerships and campus-based learning to offer degrees that reflect current professional demands. Ulster’s multi-campus model enables access to diverse urban and regional settings while maintaining strong connections with employers.

Students benefit from career-focused course design, placement opportunities and a wide range of student support services including academic tutoring, mental health resources and international student advisors. The university emphasizes innovation, practical skills and interdisciplinary study, giving learners hands-on experience through labs, studios and real-world projects that enhance employability.

Ulster’s inclusive campus life features clubs, volunteering and cultural activities that help newcomers integrate quickly. Admissions teams are experienced in supporting overseas applicants with visa guidance and scholarship information. For students seeking a UK education that combines professional preparation with a supportive community, Ulster University provides practical pathways and a strong regional network.

The Master in Data Science with Applied Research at Ulster University is a 2-year program that prepares students for a career in data science. This Master's degree provides a firm grounding in data analytics and information processing, as well as a broad appreciation of other disciplines where data science is applied.

The curriculum includes an applied research project that spans two semesters, where students develop skills in planning and organizing research in a selected application area. They also learn to implement novel solutions using state-of-the-art machine learning techniques and data analysis methods.

Graduates can work as data scientists, business analysts, data architects, or research scientists in industries like IT, business, and healthcare. They can also work as data engineers or analytics consultants, applying their skills in data analysis, machine learning, and research.