Master in Big Data Science MSc

Queen Mary University of London, with roots dating to 1785 and a current student body of about 32,000, is a major London-based university that blends historic traditions with modern research and teaching. Located in one of the world’s most cosmopolitan cities, Queen Mary hosts approximately 13,120 international students and offers an extensive portfolio of 703 programs across humanities, law, medicine, engineering and the sciences. Its central London setting provides unrivalled cultural, professional and networking opportunities.

The university is known for strong professional programs, research impact and industry links, offering students access to clinical placements, legal clinics, laboratories and entrepreneurial support. Small-group teaching and diverse seminar options complement large lectures, while dedicated career services, internships and mentorship programs help students prepare for competitive job markets. Research-active faculties support postgraduate study and collaborative projects with global partners.

Life at Queen Mary is shaped by London’s vibrant student scene, from arts and dining to industry events and volunteering. Comprehensive international student support, language assistance and accommodation services ease the transition for newcomers. Prospective international applicants should check program-specific entry requirements, scholarship opportunities and early application deadlines to make the most of study and professional pathways in a dynamic global city.

The Master in Big Data Science MSc at Queen Mary University of London is a one-year program for students who want to extract value and knowledge from large datasets. This degree is offered in two streams: Data Scientist and Data Engineer.

The curriculum includes modules such as Applied Statistics, Principles of Machine Learning, and Big Data Processing. Students in the Data Scientist stream take modules like Natural Language Processing and Digital Media and Social Networks, while students in the Data Engineer stream take modules like Cloud Computing and Distributed Systems.

Graduates of this program can pursue careers as Data Scientists, Data Engineers, Business Intelligence Developers, Data Architects, or Analytics Consultants. They can work in various industries, including finance, healthcare, and technology, applying their skills in data analysis and processing to drive business decisions.