University of Stirling Big Data

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University of Stirling Big Data

University of Stirling Big Data

If you want to become a data scientist, this is the course for you. Around 88% of data scientists have an MSc, making it a passport to jobs in this field (source). Get the skills in Python, R, Hadoop, NoSQL, Spark, and machine learning you need to land your dream job. All you need to join us is a degree in a numerate subject. We will teach you the coding skills and give you a firm basis in the maths and statistics you need.

This is a one year, full time taught MSc. designed to lead to a job in data science or analytics.

Big Data skills are in high demand and they attract high salaries. The MSc Big Data at the University of Stirling is a taught advanced Master’s degree covering the technology of Big Data and the science of data analytics.

The course is taught in the beautiful Stirling campus in the heart of Scotland with support from companies who recruit data scientists.

The course covers Big Data technology, advanced analytics and industrial and scientific applications. The syllabus includes:

  • Mathematics for Big Data
  • Python scripting
  • Business and scientific applications of Big Data
  • Big databases and NoSQL including MongoDBCassandra and Neo4J
  • Analytics, machine learning and data visualisation using WekaR and ScikitLearn
  • Optimisation and heuristics for big problems
  • Cluster computing with HadoopSparkHive and MapReduce
  • Student projects including paid internships

Keep up to date by following our blog.

We are also proudly part of the DataLab MSc, which supports our students with funding, networking and routes into employment.

Key information

EU Applicants
EU students enrolling for a postgraduate taught degree in the 2017/18 and 2018/19 academic year will be admitted as Scottish/EU fee status students and will be eligible for the same tuition support as Scottish domiciled students.

  • Qualification: MSc
  • Study methods: Campus based, Full-time, Part-time
  • Duration: One year
  • Start date:September
  • Course Director: Kevin Swingler

Download postgraduate prospectus

Kevin Swingler

Computing Science and Mathematics
University of Stirling

Course objectives

  • An understanding of the issues of scalability of databases, data analysis, search and optimisation
  • The ability to choose the right solution for a commercial task involving big data, including databases, architectures and cloud services
  • An understanding of the analysis of big data including methods to visualise and automatically learn from vast quantities of data