Master in Data Analytics 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 Data Analytics MSc is a one-year master's program for students who have a bachelor's degree and want to learn about data analytics. This program is taught in English at Queen Mary University of London and helps students develop skills in data analysis and machine learning. The main advantage of this program is that it provides students with a strong foundation in data analytics.

The curriculum includes modules such as storing, manipulating and visualising data, machine learning with Python, and probability and statistics for data analytics. Students also learn about topics such as financial data analytics, advanced machine learning, and neural networks and deep learning. The program includes a project dissertation and helps students develop skills in programming and data analysis.

Graduates of this program can work as data analysts, business intelligence analysts, or data scientists. They can also work as machine learning engineers or data architects. Some possible employers include tech companies, financial institutions, or consulting firms. The skills developed in this program, such as data analysis and machine learning, are valuable in many different careers.