Big Data Science MSc
Queen Mary University of London
Key Course Facts
Course Description
The Big Data science movement is transforming how Internet companies and researchers over the world address traditional problems. Big Data refers to the ability of exploiting the massive amounts of unstructured data that is generated continuously by companies, users, devices, and extract key understanding from it. A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.
If you are looking to pursue a career as a data scientist, this programme is designed for you. You will cover the fundamental statistical (e.g. machine learning) and technological tools (e.g. cloud platforms, Hadoop) for large-scale data analysis.
The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science.
The MSc modules cover the following aspects:
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Statistical Data Modelling, data visualization and prediction
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Machine Learning techniques for cluster detection, and automated classification
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Big Data Processing techniques for processing massive amounts of data
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Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio Engineering, Intelligent Sensing and Internet of Things
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Use case-based projects that show the practical application of the skills in real industrial and research scenarios.
You will attend lectures that explain the core concepts, techniques and tools required for large-scale data analysis. Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. You will also undertake a large project where you will demonstrate the application of Data Science skills in a complex scenario.
The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.
This course is also available for January 2021 entry. For details please visit the institution course page.
Entry Requirements / Admissions
Costs
Average student cost of living in London
Rent | £518 |
Water, gas electricity, internet (at home) | £50 |
Supermarket shopping | £81 |
Clothing | £35 |
Eating out | £33 |
Alcohol | £27 |
Takeaways / food deliveries | £30 |
Going out / entertainment (excl.alcohol, food) | £24 |
Holidays and weekend trips | £78 |
Transport within city | £17 |
Self-care / sports | £20 |
Stationary / books | £13 |
Mobile phone / internet | £13 |
Cable TV / streaming | £7 |
Insurance | £51 |
Other | £95 |
Average student cost of living | £1092 |
London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.
University Rankings
Positions of Queen Mary University of London in top UK and global rankings.
Rankings of Queen Mary University of London in related subject specific rankings.
Computer Science
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- #7
- #99
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- Computer Science
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THE World University Rankings by Subject
[Published 19 October, 2023]
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- #9
- #187
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- Computer Science
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NTU Rankings by Subject
[Published 11 July, 2023]
See all 32 university rankings of Queen Mary University of London
About Queen Mary University of London
Queen Mary University of London (QMUL) was founded in 1989 in the Mile End district of London. This Russell Group University offers state-of-the-art facilities, including their Advanced Molecular Imaging Services, and the Genome Centre for DNA research at Barts and the London School of Medicine, among numerous others for a wide variety of subject matters. QMUL is without a doubt an excellent option for any student wishing to pursue a career path in scientific research, and is recognised worldwide as such.
List of 427 Bachelor and Master Courses from Queen Mary University of London - Course Catalogue
Student composition of Queen Mary University of London
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Total number of students enrolled at Queen Mary University of London by level Academic year 2021/22 - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on February 2022
- undergraduates:
- 17055
- postgraduates:
- 8035
- Total:
- 25090
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Number of students enrolled in courses of subject “Applied Computing”: Academic year - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on February 2022
Where is this programme taught
Similar courses
Program | University | Student satisfaction | Unemployed | Dropout | Tuition (UK) | Tuition (International) | UCAS Tariff | City | ||
---|---|---|---|---|---|---|---|---|---|---|
Data Science Msci (Hons) | University of Exeter | 83% | 5% | 1% | £9250 | £27000 | 167 | Exeter | On campus Full-time | |
Mathematics and Data Science Msci (Hons) | University of Exeter | 82% | 5% | 5% | £9250 | £27000 | 167 | Exeter | On campus Full-time | |
Data Science MSc | The University of Warwick | - | - | - | £9250 | - | - | Coventry | On campus Full-time | |
Physics with Data Science Msci (Hons) | Queen Mary University of London | - | - | - | £9250 | - | - | London | On campus Full-time | |
Data Science with Foundation Year BSc (Hons) | University of Keele | - | - | - | - | - | - | Newcastle under Lyme | On campus Full-time | |
Data Science with Applied Business Informatics with Foundation Year Msci (Hons) | University of Keele | - | - | - | - | - | - | Newcastle under Lyme | On campus Full-time | |
Applied Data Science MSc (PG) | University of Essex | - | - | - | £10000 | £21700 | - | Colchester | On campus Full-time | |
Data Science MSc MSc | Kingston University | - | - | - | £9860 | £17500 | - | Kingston upon Thames | On campus Full-time | |
Master of Data Science (Social Analytics) MSc | Durham University | - | - | - | £13500 | £31500 | - | Durham | On campus Full-time | |
Data Science MSc (PG) | Middlesex University | - | - | - | £10500 | £15300 | - | London | On campus Full-time |
Ranking publishers
THE Times Higher Education, UK
- Published:
- 19 October, 2023
- Criteria used in ranking -THE World University Rankings by Subject:
- 37.4% Teaching (the Learning Environment)
37.6% Research (Volume, Income and Reputation)
15% Citations (Research Influence)
7.5% International Outlook (Staff, Students and Research)
2.5% Industry Income (Knowledge Transfer)
NTU ranking
- Published:
- 11 July, 2023