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Masters
University of Greenwich
Data Science, MSc
University of Greenwich

Data Science, MSc

UNIVERSITY OF GREENWICH

School Of Engineering

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Different course options

Full time | University of Greenwich (Greenwich Campus) | 1 year | SEP-23

Study mode

Full time

Duration

1 year

Start date

SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course type

Taught

Course Summary

The MSc in Data Science equips graduates to embark on highly skilled careers in data science, artificial intelligence and machine learning. This specialist Master's in Data Science provides a theoretical knowledge of data science alongside the practical skills that will help you prosper in the jobs market. You'll be exposed to a broad range of topics such as data science, statistics, specialist programming, machine learning and data visualisation. For the MSc project, you may have the opportunity to undertake a collaborative project within industry. This course is accredited by BCS, The Chartered Institute for IT: Initial Partial CITP and Partial CEng (Further Learning). An accredited degree entitles you to professional membership of BCS.

Graduates from this Computer Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern artificial intelligence systems.

Modules

Big Data (15 Credits) - Core
This course aims to provide analytical skills to study big data and to provide a solid foundation for developing solutions and applications that need to manipulate big data. Students will be introduced to a range of tools and techniques to manipulate and manage big data sets which will be used to develop a range of big data applications. Specific aims are: To provide an overview of statistical and machine learning techniques often used in big data processing. To develop a fundamental toolbox of techniques and skills from which to construct solutions to gain insight from large data sets. To develop the ability to manipulate abstracted data into meaningful information.
Applied Machine Learning (15 Credits) - Core
Essential Professional and Academic Skills for Masters Students - Core
Programming Fundamentals for Data Science (15 Credits) - Core
Statistical Techniques and Time Series (15 Credits) - Core
MSc Project (60 Credits) - Core
Machine Learning (15 Credits) - Core
Data Visualisation (15 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,500

International fees
Course fees for EU and international students

For this course (per year)

£16,300

Entry requirements

Applicants should have: A good degree (equivalent to UK 2:2 or higher) in a computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience. Or, substantial commercial/industrial experience including software development using modern programming languages and design.

Department profile

University of Greenwich-Overview
Dept profile

At the University of Greenwich, we’re proud that our students have ranked us in the WhatUni Student Choice Awards 2022 as the top university in the UK for postgraduate study. You'll learn from expert teaching staff with close connections to industry and prepare yourself for global opportunities. The Faculty of Engineering and Science covers courses across STEM subjects (Science, Technology, Engineering and Mathematics). We are operational...more

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