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  Master of Science in Big Data Analytics


Atlantic Technological University    Online, Flexible and Professional Development

Full time & Part time See Course MSc 1/2 Years
Computer Science (8)

FindAMasters summary

Embark on a transformative journey with the Master of Science in Big Data Analytics at LYIT. This dynamic programme delves into the intricate processes of analysing vast data sets to unveil invaluable insights across diverse industries. Whether you aspire to excel in banking, healthcare, or retail, this course equips you with the expertise to thrive in the burgeoning field of big data analytics. From honing your skills in business intelligence to mastering machine learning and big data architecture, the curriculum is designed to empower you for success. The programme boasts a stellar lineup of modules including Mathematics for Analytics and Data Science, culminating in a comprehensive dissertation. With a focus on practical applications and cutting-edge technologies like Hadoop and Tableau, you'll emerge as a sought-after professional in roles such as Data Analyst or Data Scientist. Entry requirements include a Level 8 Honours Degree in Computing or relevant industry experience, ensuring a diverse cohort of driven individuals. Elevate your career prospects and make your mark in the data-driven world with LYIT's Master of Science in Big Data Analytics.

About the course

Our Master of Science in Computing in Big Data Analytics is a one year, full-time or two year, part-time programme. It focuses on the processes involved in examining and interpreting large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information.

From banking and financial services to retail and healthcare, as well as life sciences, the opportunities in big data analytics are expanding all the time, and this course provides you with excellent qualifications to make the most of the ever increasing opportunities.

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Entry Requirements

Level 8 Honours Degree in Computing, or equivalent, second class honours (2.2), or Higher Diploma in Computing (Conversion Course into Computing). Non computing applicants must have a minimum of 30 ECT credits in Computing or Computing related modules, or computer industry experience. If you do not have an honours degree but have relevant experience you may also be eligible to apply via Recognition of Prior Learning (RPL). Applicants may also attend a one week bridging course where necessary.


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