Don't miss our weekly Masters newsletter | Sign up now Don't miss our weekly Masters newsletter | Sign up now
Search Masters Degrees

  MSc Big Data Science

Queen Mary University of London    School of Electronic Engineering and Computer Science

Full time & Part time September, January MSc 1 year Full-tume or 2 years Part-time
Visit Institution website
School of Electronic Engineering and Computer Science Logo
Computer Science (8) Mathematics (25)

FindAMasters summary

The MSc Big Data Science programme is perfect for those who aspire to become data scientists and extract valuable insights from large amounts of data. This one-year full-time (or two-year part-time) course covers the essential statistical and technological tools for analyzing big data, such as machine learning and cloud platforms. You'll also learn about specific applications like computer vision, social network analysis, and bioengineering. With a team of over 100 researchers, Queen Mary offers world-leading expertise in this field. To join the programme, you'll typically need an upper second class degree in electronic engineering, computer science, maths, or a related discipline. International students must have an overall IELTS score of 6.5, including 6.0 in writing.

About the course

The big data science movement is transforming the way companies and researchers operate across the world. Big data science techniques and tools allow us to manage and exploit the massive amounts of data continuously generated by organisations, individuals, and devices, and extract their value. Train to become a big data science expert - a highly skilled professional who combines state-of-the-art computer science techniques with modern methods of statistical analysis.

Read more about this course

Entry Requirements

A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.

Find out more about how to apply for our postgraduate taught courses.

Fees

Please see the university website for further information on fees for this course.

 Course Content

Course Content Entry Requirements Fees Student Profiles Scholarships
Visit institution website

Where will I study?

Where is Queen Mary University of London

Student Profile

Harriet David

I chose to study at Queen Mary because of the exciting research happening at the university, including in area of big data science. I chose this course because of the opportunity to be taught by experts in the field. I have enjoyed completing coursework for my modules, since this has allowed me to gain significant practical Python experience. My favourite module has been Neural Networks and Deep Learning. I have enjoyed learning about the different types of neural networks and also building neural network architectures using PyTorch.

Scholarships

The Scholarship is open to applications from all home students who hold an offer for an eligible postgraduate taught programme* for September 2024 and meet the following criteria:

A home fee student who had previously been eligible for funding via the Students Loan Company
Have achieved, or is predicted to achieve a high 2:1 or above at undergraduate level
Not previously completed a postgraduate programme
Priority will be given to students who also fulfil the following criteria:

Eligible for the full maintenance grant/loan i.e. have a household income level of £42,875 or below in the final year of their undergraduate study as assessed by Student Finance England or equivalent. You will need to supply evidence to demonstrate this by uploading your Student Finance Entitlement letter
Reside in a Home (not university accommodation) in ACORN group L, M, O, P or Q
For current Queen Mary final-year undergraduate students only: in receipt of the Queen Mary Bursary
Can effectively demonstrate how you intend to use the scholarship to overcome any barriers or contribute to the wider Queen Mary community.

Value of Scholarship(s)

£4,000

Eligibility

Queen Mary University of London is delighted to introduce a new Masters Scholarship worth £4,000 for highly qualified postgraduate taught offer holders joining us in September 2024.

The scholarships are intended to support students who wish to enhance their skills and knowledge by undertaking a taught postgraduate masters programme of study at Queen Mary University of London.


Find out more

Queen Mary University of London is delighted to introduce a new Global Talent Scholarship worth £3,000 for highly qualified postgraduate taught offer holders joining us in September 2024. The scholarship is available to all international students with an offer for an eligible programme, regardless of nationality, who meet the criteria.

The Global Talent Scholarships will be awarded automatically to self-funded international students with a UK first class honours degree (or equivalent) – there is no application or registration process. The scholarship will be deducted from a recipient’s tuition fees when they enrol at Queen Mary.

Value of Scholarship(s)

£3,000

Eligibility

You must:
> Achieve a UK 1st Class Honours or equivalent in your undergraduate degree.
> Hold an offer for an eligible postgraduate taught programme for September 2024 intake.
> Have international fee status.


Find out more

Search Suggestions

Based on your current searches we recommend the following search filters

Check out our other Masters Courses in London, United Kingdom

Check out our other Masters Courses in Computer Science

Start a new search with our database of over 23,000 Masters Courses

Course Suggestions

Based on your current search criteria we thought you might be interested in these

Big Data Science and Technology - MSc
University of Bradford

M.Sc. Computer Science - Focus on Big Data and Artificial Intelligence
SRH Berlin University of Applied Sciences

MSc Data Science and Big Data Analytics
Wrexham University

Computer Science Mathematics Applied Statistics Artificial Intelligence E-Business Information Systems Internet London United Kingdom On Campus
Masters Degrees Search for Masters Degrees Masters Degrees in United Kingdom Masters Degrees in the USA Masters Degrees in Psychology Online Masters Degrees Masters Degrees by Email Professional Training and Short Courses
Info for students Postgraduate Open Days Masters Study Guides Funding Your Masters Masters Degrees Abroad Postgraduate Advice Forum Graduate Entry Tests Postgraduate Email Updates Manage my Email Preferences
Info for advertisers Advertise your Masters Programmes Display Advertising Emails Campaigns Featured Open Days Provider Login About FindAMasters Advertiser Terms

FindAMasters. Copyright 2005-2024
All rights reserved.

Contact Us
Sitemap
Privacy
Accessibility
Advertise
FindAMasters is a trading name of FindAUniversity Ltd.
Registered Address: FindAUniversity Ltd, 77 Sidney St, Sheffield, S1 4RG
Our websites: FindAPhD | FindAnMBA | FindAPostDoc | FindAProfessionalDoctorate | PostgraduateFunding | Postgraduate Forum | FindCourses