Planit


Big Data

University of Stirling

Venues

Stirling Campus

Content

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 Python, 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.

You can exit at the end of 12 months with a PgCert Big Data.

You can exit at the end of 18 months with a PgDip Big Data.

Entry Requirements

A minimum of a second class Honours degree or equivalent in a numerate subject such as maths, computing, engineering or an analytic science. Applicants without these formal qualifications but with significant appropriate work experience are encouraged to apply.

Start Date

February, September, January

Qualification

Postgraduate Master's

Award

MSc

Study Method

Distance and Flexible learning
Part time (day)

Course Length

2 years

Department

Natural Sciences

SCQF Level

11

Website

www.stir.ac.uk

Career Sectors

Biology

Chemistry and Materials Science

Food Science and Technology

Mathematics and Statistics

Physics

Science General