UK,England
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Tuition Fee
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UK, England
Type: University
Location Type: Urban
Founded: 1785
Total Students: 32,000 +
Int. Students: 13,100 +
Main Campus Address
Mile End Rd, Bethnal Green, London E1 4NS, United Kingdom
Data Science is transforming how companies, researchers, governments and other organisations over the world address traditional problems. On completion of this programme, you will become a highly skilled specialist with an in-depth understanding of the two main knowledge areas that are responsible for the success of the Data Science movement, Big Data technologies and Machine Learning.
This programme will provide students with cutting-edge statistical approaches including machine learning and technological tools like cloud and big data platforms for analysing large-scale datasets. Students will learn how to extract value from data by identifying patterns, creating predictive models and deploying data-driven solutions at scale.
The programme will cover the following topics:
Master's Degree
42 Days
Full-Time
12 Months
Intake Month/Year | Intake Status | |
---|---|---|
sep 2024 | Closed |
*Note: The fee is approximate and is subject to change
*Note: The fee is approximate and is subject to change
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Check program website for more information about funding options.
Career Opportunities
A Data Scientist is a highly skilled professional and there is a shortage of trained professionals with this set of skills. The demand is expected to increase significantly over the next years.
Our postgraduates go on to work in a wide variety of careers, mostly within IT and information services. The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into careers such as:
In companies including:
Scholarships and Funding
Queen Mary is pleased to offer a number of generous scholarships for undergraduate and postgraduate international students. We understand how important a scholarship can be in pursuing higher education and want to recognise students’ hard work. As such, Queen Mary has scholarships available across all Faculties. Among these, the School of Economics and Finance, the School of Law, and the Faculty of Science and Engineering have large scholarships schemes, with some geared towards Indian students specifically.
Please visit our scholarships pages for full details.
For more information on eligibility and how to apply please see our Scholarships and funding pages for information.
There are various options through which a student can get a post study work visa in the UK.
Tier 1 Graduate Entrepreneur Visa for the graduates with a genuine and credible business idea.
Tier 2 (General) is the leading immigration visa to work in the UK.
Tier 4 Doctorate Extension Scheme is for students who have completed their Ph.D. and is valid for 12 months for them to work, look for work or set up a business.
Tier 5 Youth Mobility is for individuals of certain countries like Australia, Canada, Japan, Monaco, Hong Kong, South Korea, Taiwan, and New Zealand aged between 18 -30 who wish to move to the UK.
Tier 5 GAE is for individuals who want to come to the UK for work experience, training, research or a fellowship.
UK Ancestry is for individuals who are a citizen of a commonwealth and plan to work in the UK and have a grandparent who was born in the UK.
Program Level: 4-Year Bachelor's Degree
Duration: 48 months
Tuition Fee: CAD 25,150
English Requirement: IELTS TOEFL PTE
Work Permit:
Program Level: 3-Year Bachelor's Degree
Duration: 36 months
Tuition Fee: CAD 25,150
English Requirement: IELTS TOEFL PTE
Work Permit:
Program Level: Integrated Course
Duration: 48 months
Tuition Fee: CAD 25,150
English Requirement: IELTS TOEFL PTE
Work Permit:
Program Level: Master's Degree
Duration: 12 months
Tuition Fee: CAD 33,500
English Requirement: IELTS TOEFL PTE
Work Permit:
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