| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc | Full-time, Part-time | 1 - 2 year | September, January | GBP 0 per year | GBP 0 per year |
Overview
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
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.
Graduates of this course have gone onto roles such as:
Career outcomes shown are sourced from the latest available graduate outcome surveys. The data shows career outcomes at 15 months after graduation.
https://www.port.ac.uk/study/masters-and-postgraduate-taught/fees-and-funding
A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.
English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
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