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Full time | University of Stirling | 21 months | JAN-25

Study mode

Full time

Duration

21 months

Start date

JAN-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Database Management

Course type

Taught

Course Summary

Big data is increasingly important in today’s commercial landscape. As a data scientist specialising in big data, you’ll help companies make sense of large amounts of structured and unstructured data, providing rapid insights that enable them to make better, quicker decisions.

The MSc Big Data is a taught advanced Masters degree covering the technology of Big Data and the science of data analytics. You’ll gain practical skills in big data technology, advanced analytics and industrial and scientific applications.

The course will teach you how to collect, manage and analyse big, fast moving data for science or commerce. You’ll learn skills in cutting-edge technology such as Data Analytics, R, Hadoop, NoSQL and Machine Learning. At the same time, you’ll delve into important maths and computing theory, and learn the advanced computational techniques you need to develop your career in data science.

Our MSc has been developed in partnership with global and local companies who employ data scientists. Since the course was launched in 2012 we have developed a great relationship with employers who are looking for the skills that we teach.

The University of Stirling is associated with The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It also supports our students with funding, networking and routes into employment. We also have close links with the Scottish Informatics and Computing Science Alliance (SICSA).

As a graduate in Big Data you’ll be able to work in a wide range of sectors such as digital technologies, energy and utilities, financial services, public sector and healthcare.

Scotland is a growing and dynamic country with an exciting future at the heart of the data science revolution. £661 million invested in vision of turning capital city into the ‘Data Capital of Europe’ (Source: Scottish Development International, 2020).

Modules

Statistics for Data Science(MATPMD1) (10 Credits) - Core
Representing and Manipulating Data(ITNPBD2) (20 Credits) - Core
Representing and Manipulating Data(ITNPBD2) (20 Credits) - Core
Research Dissertation Project(ITNPMR9) (20 Credits) - Core
Relational and non-Relational Databases(ITNPBD3) (20 Credits) - Core
Networks & Graph Theory(MATPMD2) (10 Credits) - Core
Mathematical and Statistical Foundations(MATPMDA) (20 Credits) - Core
Machine Learning(ITNPBD6) (20 Credits) - Core
Dissertation Project(ITNPBD5) (60 Credits) - Core
Commercial and Scientific Applications(ITNPBD4) (20 Credits) - Core
Cluster Computing(ITNPBD7) (20 Credits) - Core
Commercial and Scientific Applications(ITNPBD4) (20 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,900

International fees
Course fees for EU and international students

For this course (per year)

£22,900

Entry requirements

A minimum of a second class honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.