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Different course options

Full time | Main Site | 1 year | SEP-23

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type


Course Summary


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.

Careers and opportunities

Careers this Master’s prepares you for

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.


The learning outcomes of this module are: Demonstrate a comprehensive understanding of the different types of financial data, reports and business decision making process. Demonstrate a comprehensive understanding of data warehouse design, multi-dimensional modelling, cloud-based data warehousing, OLAP, aiming to support better business decision making. Use your data warehouse understanding to successfully query and gain business insights about a number of different data sets. Apply suitable data visualisation techniques for a given business analysis task. Summarise and present financial data and insights.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


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.

University information

The University of Portsmouth is an innovative, research-driven institution with a modern, well-resourced campus which is a fantastic place to study at postgraduate level. The university invests intelligently in its teaching and facilities, delivering an internationally respected curriculum and providing a rich and varied student experience. Portsmouth is renowned in areas such as astrophysics, forensics and sports science, and produces an...more

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