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Queen Mary, University of London data science and analytics courses
London, EnglandLocation
UniversitySchool type
Estd1882established year
16434enrollment
Public
Partner [48 Courses]
Queen Mary, University of London data science and analytics courses will teach you the core mathematical principles of data analysis and how to apply these to real-world scenarios.. This programme is highly applied and will feature industry connections to help you put your learning into the context of real-world challenges. Suitable for graduates from numerate degree subjects, such as maths, statistics, physics, engineering, economics and computer science
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Partner Course
STEM Course
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INR 34.8 L/YrGBP 31,850 /Yr
9 Students Applied
9 Students Admitted
Master of Science [M.Sc] Business Analytics
STEM Course
Ranked #124 out of 1502 by THE Global Ranking 2023
INR 34.8 L/YrGBP 31,850 /Yr
8 Students Applied
7 Students Admitted
Master of Science [M.Sc] Big Data Science
STEM Course
INR 34.8 L/YrGBP 31,850 /Yr
9 Students Applied
8 Students Admitted
Master of Science [M.Sc] Data Analytics
STEM Course
INR 34.8 L/YrGBP 31,850 /Yr
1 Student Applied
1 Student Admitted
INR 34.8 L/YrGBP 31,850 /Yr
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INR 31.6 L/YrGBP 28,950 /Yr
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Queen Mary, University of London Reviews
Law (5)
Data Science and Analytics (4)
Sciences (3)
Biology (2)
Finance (2)
Artificial Intelligence and Machine Learning (2)
Arts (1)
Engineering (1)
Medicine (1)
Accounting (1)
Economics (1)
Electrical and Electronics Engineering (1)
Literature (1)
Microbiology (1)
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Banking (1)
19 Reviews Found
Likes:
- Location London Based Had a Data Engineering specific track in my course. Russel Group .
- Campus, Accessibility, Location, Facilities, Administration. University is situated near Central London, easy to commute to with great facilities. The administration does a great job of letting you know about all that is happening at the uni. Also great social calendar of events." .
Dislikes:
- Some of the modules had sub par professors. Though most of your success comes down to self study and using the resources provided by the university to the fullest. Some modules were a bit hurried and some classes were overcrowded leading to less personalised experiences. null
Likes:
- To do research in AI and AI in music. Queen Mary is best for that. null
- Good research quality, experienced teachers, location, good job opportunities, good university accomodation, Research excellence and innovation, part of Russell Group, generous support package of scholarships, bursaries and studentships to newly-qualified postgraduate applicants. null
Dislikes:
- London is very expensive city so while planning about budget keep this in mind. Lack of structure on extra-circular activities. Qmul has a lot of opportunities to do things for those who look. These are not always well marketed or known. null
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