Overview
The MSc in Data Science at the University of East London is tailored for individuals aspiring to excel in data-driven sectors. This programme emphasises a cross-disciplinary approach, integrating methodologies from various fields to prepare students for the dynamic landscape of data science. With the increasing importance of data literacy across industries, this course aims to equip students with the skills necessary to analyse, interpret, and derive insights from complex data sets.
Why Data Science at the University of East London?
Ranked among the top universities in the UK, the University of East London stands out for its commitment to providing a comprehensive educational experience. The institution has established partnerships with industry leaders, ensuring that the curriculum remains relevant and aligned with current market demands. Students benefit from state-of-the-art facilities, including modern lecture theatres and specialised labs that enhance learning and practical application.
Tuition Fee Breakdown
The tuition fees for the MSc in Data Science are as follows: £10,680 per year for domestic students and £16,740 per year for international students. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The programme comprises several core modules designed to build a robust foundation in data science:
- Mental Wealth; Professional Life (Data Ecology) (30 credits)
- Advanced Decision Making: Predictive Analytics & Machine Learning (30 credits)
- Spatial Data Analysis (30 credits)
- Data Science Dissertation
Students are expected to engage in both theoretical and practical components, culminating in a dissertation that showcases their research capabilities and understanding of data science concepts.
Industry Demand
The demand for data science professionals continues to grow, with organisations across various sectors seeking individuals who can harness data to drive decision-making processes. Graduates of this programme will find opportunities in diverse fields such as finance, healthcare, technology, and government, where data analysis is becoming increasingly integral to operations.
Careers with Data Science
Graduates of the MSc in Data Science are well-prepared for a variety of roles, including data analysts, data scientists, and quantitative researchers. Alumni have successfully secured positions in notable organisations, including local councils, major corporations, and educational institutions. The programme's focus on practical skills and industry-relevant knowledge ensures that students are equipped to meet the challenges of the evolving job market.
Programme Structure
Modules include:
- Quantitative Data Analysis
- Mental Wealth; Professional Life (Data Ecology)
- Advanced Decision Making: Predictive Analytics & Machine Learning
- Spatial Data Analysis
- Data Science Dissertation
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
- Flexible
Start dates & application deadlines
- StartingApplication deadline not specified.
- Starting
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data View 416 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- Minimum 2.2 Bachelor's degree, in any subject.
- We would normally expect you to have Grade C in GCSE English and Maths.
Tuition Fees
-
International Applies to you
Applies to youNon-residents16740 GBP / year≈ 16740 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10680 GBP / year≈ 10680 GBP / year
Additional Details
UK: Part time: £1780 Per 30 credit module
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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