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Data Science and Analytics MSc

Different course options

Full time | Brunel University London | 1 year | 30-SEP-24

Study mode

Full time

Duration

1 year

Start date

30-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Data Science

Course type

Taught

Course Summary

Overview

From social networks, ecommerce and government through to sensors, smart meters and mobile networks, data is being collected at an unprecedented speed and scale. But big data is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier to unlocking everything that data has to offer.

The Data Science and Analytics MSc programme provides these skills, combining a strong academic degree course with hands-on experience of leading commercial technology, and the chance to gain industry certification. You will develop both your critical awareness of the very latest developments in data science and the practical skills that help you apply data science more effectively in a wide variety of sectors including finance, retail and government.

You’ll gain knowledge of key concepts and the nuances of effective data analysis. You’ll gain confidence in your own critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents, and turning that understanding into insight for business, scientific or social innovation. You’ll develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.

Careers and your future

Your MSc in Data Science and Analytics from Brunel will equip you to work in leading data science organisations.

Companies seeking to employ our data science graduates include Accenture, AstraZeneca, AXA Insurance, British Airways, Capgemini, Experian, FICO, GE Healthcare, HSBC, nPower, Orange, PayPal, Sopra and Waitrose.

Modules

This module aims to develop knowledge and skills necessary for working effectively with the large-scale data storage and processing infrastructures that underpin data science. You will develop both practical skills and an ability to reflect critically on concepts, theory and appropriate use of infrastructure. Content covers highly scalable cloud computing tools, for example Hadoop, and in-memory approaches, such as Spark.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£13,750

International fees
Course fees for EU and international students

For this course (per year)

£25,000

Entry requirements

A 2:2 or above UK Honours degree or equivalent internationally recognised qualification from a scientific, engineering, or a numerate subject.

University information

Brunel University London, founded in 1966, is a leading technology university renowned for its education and research, as well as its spirit of innovation and entrepreneurship. Based in a single, leafy campus in west London, it provides outstanding sports facilities, easy access to central London, and a friendly, vibrant, and strikingly international community. The university is ranked 1st in the UK, 4th in the world for 'International...more

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