{{phone.Value}}

1000+

successful admissions

94%

of students enter the university of their choice

4400+

students consult Education Index when applying for universites

Queen Mary University of London (QMUL), MSc, Big Data Science

 

Study mode Start date Duration Fee international Fee UK/ EU Fee study period Year of study
Full-time Sep years: 1 £17450 £8700 Whole course 2017 - 2018

This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

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.

The course leverages the world-leading expertise in research at Queen Mary with the University's 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:

  • Statistical Data Modelling, data visualization and prediction
  • Machine Learning techniques for cluster detection, and automated classification
  • Big Data Processing techniques for processing massive amounts of data
  • Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio Engineering, Intelligent Sensing and Internet of Things
  • Use case-based projects that show the practical application of the skills in real industrial and research scenarios.

Students will be offered 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. Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.

The programme is offered by 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.

Why study your MSc in Big data at Queen Mary?

  • The University is in the top percentile of universities in the world (Times Higher Education and QS World University Ranking)
  • QMUL research-led approach: Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.
  • The University's strong links with industry:

- Queen Mary has collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft. 

- Full-time MSc with Industrial Experience option available on the taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.

Industrial projects scheme  - To support industrial experience development, you can to do your final project in collaboration with an industrial partner.

Video

Other courses at Queen Mary University of London (QMUL)

Photos

Queens Building. Mile End Campus Inside the ‘Blizzard Building’ Medical school lecture theatre Mile End Campus (around green building), and Royal London Hospital big blue building, home of our medical school), proximity to the City of London (another financial centre) Postgraduate accommodation. Mile End campus Lincoln’s In Field Campus (Postgraduate Law School in Holborn)

Free consultation

Get free 15 min consultation about this University

  • {{rerrors.FirstName}}
  • {{rerrors.Email}}
  • {{rerrors.Mobile}}
  • By providing your details you are consenting to Education Index sending you information about its services and the university that is relevant to your interests, such as: courses and subjects, events, funding, student life, accommodation and careers. Education Index will never sell, rent, or give away your data for third-party marketing, however they may work with partner organisations to send you relevant information about Queen Mary University of London (QMUL). If you do not wish to receive further information, you can opt-out at any time using links provided in their communications. Education Index privacy policy applies.
    {{rerrors.UserTerms}}
    I agree to comply with the Terms and Conditions of Use and the Privacy Policy. I confirm that I am 16 years of age or older *
  • {{rerrors.Message}}

Location

The University is situated in a vibrant and culturally diverse area of East London, close to both Shoreditch, a fashionable and creative media and web-technology centre; and the financial districts of the City and Canary Wharf.