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MSc Data Science
Course overview
| Qualification | Master's Degree |
| Study mode | Full-time, Part-time |
| Duration | 1 year |
| Intakes | September |
| Tuition (Local students) | $ 10,294 |
| Tuition (Foreign students) | $ 15,055 |
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Admissions
Intakes
Fees
Tuition
- $ 10,294
- Local students
- $ 15,055
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
- Degree: Minimum 2.2 Honours in Physical Science, Electrical/Electronic/Communication Engineering or Humanities and Social Science related subject.
Note: We would normally expect you to have Grade C in GCSE English and Maths.
English Language Requirements:
- Overall IELTS 6.0 with a minimum of 6.0 in Writing, Speaking, Reading and Listening (or recognised equivalent).
Curriculum
his course gives you the opportunity to look at data across a wide range of subjects and sources, including finance, crime, the environment, housing, education, demographics and social media.
You will gain hands-on experience of handling data through your course work, projects and analysis. Recent students have been analysing crime data, drawing on material similar to that used for research undertaken by our course leaders for the Metropolitan Police and Essex Police.
They have also conducted data projects for companies such as KPMG and Thames Water as well as for the Department of Department of Health and NHS Foundation Trusts.
Course modules include Data Ecology, Quantitative Data Analysis, Spatial Data Analysis and Advanced Decision Making, as well as your research dissertation.
The specialisms of our academic team include data cleansing, data integration, data mining, spatial analysis and predictive analytics and their research engages them in a variety of data from crime statistics to natural hazards and from public health to business. It keeps them at the forefront of new developments in the field.
The cross-disciplinary approach to the subject at the University of East London means you can follow your own area of interest, enhancing your knowledge and skills under the expert guidance of your researchers.