Data Analytics MSc

University of Portsmouth

Data Analytics MSc

  • Country United Kingdom
  • Course Duration 12 month
  • Course Type Full Time
  • Courses Campus On Campus
  • Language Specification IELTS
  • Program Level Post-Graduate
  • Education Required Graduate
  • Admission intake SEP
  • Minimum GPA 3.1
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Application Charges

Application Fee Tution Fee
Free GBP 19,200

Program Description

Master big data methodologies and find the valuable trends and patterns buried in complex datasets with our MSc Data Analytics course. You'll build your proficiency with data mining tools, unlock specialist knowledge of professional analysis methods, and apply your learning to real data drawn from professional partners, such IBM, or from live University research into cosmology, health informatics and cybersecurity. You'll plan and produce an in-depth research project, using analytics packages like Hadoop and Tableau, and we'll provide the expertise and support so you can develop your professional practice. And once you graduate, you'll have a skillset that'll get you noticed – and all the tools you need to progress your career in data analytics or deep learning.

Study online

Looking for more flexibility with your studies? You can study MSc Data Analytics online.  
The University of Portsmouth is ranked 5th of the modern universities for research quality in computer science and informaticsResearch 

Eligibility

This course accepts UK, EU, and International students.

Course highlights

  • Plan and deliver your Master's project in collaboration with an industry partner – previous projects have analysed data from Fresh Relevance, Specsavers and IBM to support strategic priorities
  • Build your own database from complicated, real-world datasets, and apply robust statistical methods to produce actionable, data-driven insights
  • Use industry-standard software, such as Knime, Tableau, Hadoop and Spark, and engage with modern techniques including machine learning, AI, and Business Intelligence Modeling
  • Convert your existing study or workplace knowledge into a the necessary skillset for modern data-driven careers