Taught course

Data Analytics

University of Portsmouth · Electronic and Computer Engineering

Entry requirements

A first or an upper second-class honours degree in a relevant subject or a degree with relevant experience, or equivalent professional experience and/or qualifications.

English language proficiency at a minimum of IELTS band 6.0 with no component score below 6.0.

Months of entry


Course content


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.

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
Careers and opportunities

As a successful graduate of this course, you'll be able to show the enhanced skills in data science and analytics that companies need to extract the most valuable information from their data.

You'll have demonstrable experience with industry-standard software, and, if you choose to work with live company data in your studies, you'll have made professional contacts in the industry while making your analytical insights.

You'll also be an expert in new techniques and technologies in the field, with an eye for future developments, making you highly employable.

Fees and funding


Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details