Master of Science in Data Analytics Engineering

Southampton Solent University

UK,England

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12 Months

Duration

CAD 14,300/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 2005

Total Students: 9,650 +

Campus Detail

Main Campus Address

E Park Terrace, Southampton SO14 0YN, United Kingdom

Master of Science in Data Analytics Engineering

Program Overview

Do you enjoy problem solving? Are you looking for a demanding career with a salary to match? Solent University’s MSc Data Analytics Engineering programme teaches students to make sense of a world where every action and transaction we perform has some aspect of data attached to it. Data analysts use these data sets to make meaningful inferences that can support business decisions, governmental policy changes and system designs.

  • As a conversion course, this master’s degree is well suited to students from a wide range of academic backgrounds. The course will help you to develop sought-after skills within the technology and big data environment, fully preparing you for a range of careers after graduation.
  • The one-year master’s level conversion course is designed to prepare students from a range of academic backgrounds for work in data analytics engineering. Students are also able to tailor the course to their own personal career ambitions through a research project. Many use this piece of work to springboard the start of their career or a further research study.
  • Topic covered include databases, data management, web technologies, analysis and computing fundamentals. Students will also study academic research methods, which will then inform their final research project.
  • Students are also supported to gain a range of transferable skills throughout the course. These include project management, critical thinking, organisation and presentation skills. The professional issues and practise module helps prepare students for the workplace by looking at the wider computing industry and the contexts in which big data can be used most effectively.