LOCATION

Docklands Campus

ENTRY REQUIREMENTS

START DATE(S)

ATTENDANCE

LEARNING

Find out about entry requirements

Flexible entry requirements

January 2023 September 2023

Full time, 1 year

Part time, 2 years

On campus

Fees and Funding

Here's the fees and funding information for each year of this course

September 2023

Attendance

Fee

Note

Home Full time, 1 year£9,720Per year Part time£1,620Per 30 credit module International Full time, 1 year£15,240Per year

OVERVIEW

The MSc in Data Science is aimed at providing opportunities for students who wish to establish expertise and employment in data-centric, largely quantitative areas within a broad range of professional disciplines and areas of employment. A cross-disciplinary approach is therefore central to the delivery of the programme.

According to Hal Varian, Google Chief Economist, "The ability to take data - to be able to understand it, to process it, to extract value from it, to visualise it, to communicate it - that's going to be a hugely important skill in the next decades." It is these skills and the knowledge that underpins them that are the focus of this programme.



WHAT YOU'LL LEARN

This course gives you the opportunity to look at data across a wide range of subjects and sources, including finance, business, crime, health, education, planning, community, natural environment and social media.

You will gain hands-on experience of handling data through your coursework and projects. 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 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 quality, data analysis, data mining and Geocomputaion. 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.

"Our definition of data science is the science, engineering and practice of extracting value from data that impacts business, governance and society," says course leader, Emeritus Professor Allan Brimicombe.

"We strive to maximise the potential of all our students so they can make valuable to contributions to, and enhance their careers in this new fast-growing and vibrant sector."



MODULES

CORE MODULES

Quantitative Data Analysis

Mental Wealth;

Professional Life (Data Ecology)

Advanced Decision Making:

Predictive Analytics & Machine Learning

Spatial Data Analysis Data Science Dissertation



HOW YOU'LL LEARN

This programme includes four taught modules and a research dissertation, and is available in full-time and part-time modes. Delivery of taught modules is by block and blended learning.

Each taught module is based on one week's intensive attendance at the UEL Docklands campus, according to an advertised calendar, usually at the beginning of each semester. Students are expected to have a laptop computer for in-class practical sessions. During the remainder of the semester, students can work on their reading, practical components (from a workbook) and coursework. Students will be supported on campus or online by tutorials. The taught modules on this programme are available to be taken as credit bearing short courses by suitably qualified individuals.

HOW YOU'LL BE ASSESSED

All the learning outcomes of the programme are assessed through:

Laboratory session portfolios

Coursework

Research dissertation