MSc in Big Data Analytics, Atlantic Technological University - Donegal Letterkenny Campus

Letterkenny, Ulster

12 Months

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About this course

The Master of Science in Computing in Big Data Analytics is designed to be a flexible programme available as a one-year full-time or a two-year part-time course. It focuses on the processes involved in examining and interpreting large volumes of data to uncover hidden patterns and correlations. The course prepares students for expanding opportunities across various sectors like banking, retail, healthcare, and life sciences. Graduates can leverage their skills to gain a competitive edge for businesses, helping them with more effective marketing and increased revenue. The programme aims to equip students with qualifications that open doors to roles such as data storage managers, data analysts, or data scientists, particularly in companies managing large database systems, financial services, or the payment card industry.

Why this course is highly recommended

As data continues to grow exponentially across industries, skills in big data analytics are becoming increasingly vital. This course offers a comprehensive curriculum that covers the essential tools and techniques needed to interpret enormous data sources effectively. The programme also develops practical skills, such as designing data pipelines and building data warehouses, which are highly valued by employers in finance, healthcare, retail, and logistics. Graduates will be well-prepared for roles that require advanced data analysis, offering strong career prospects in a thriving field.

Specialisation

This course specifically delves into Big Data Analytics, with modules covering topics like data analysis, data architecture, machine learning, business intelligence, and data science. It aims to provide both theoretical understanding and practical skills in managing and analysing large-scale data, harnessing current technologies and methodologies to prepare students for roles in big data environments.

Course fees

Application fees

10.84L

1st year tuition fees

10.84L

Living cost

Degree requirements

Applicants are typically expected to have a Level 8 Honours Degree in Computing or an equivalent qualification with second class honours (2.2). Alternatively, a Higher Diploma in Computing or relevant industry experience can also be considered. Non-computing applicants must have at least 30 ECTS credits in computing or related modules. Those without an honours degree but with relevant experience may be eligible through Recognition of Prior Learning (RPL). A one-week bridging course may be available if needed.

English language test

IELTS

TOEFL

PTE

DUOLINGO

100

Career prospects

Graduates can pursue roles such as Business Intelligence Analyst, Data Analyst, Data Analytics Consultant, Data Engineer, Data Project Manager, Data Scientist, Logistics Specialist, Marketing Analyst, and Operations Analyst. The main employers include companies in business and computing, finance, healthcare, logistics, and retail sectors. The course equips students with the skills to thrive in environments that rely on large database systems, utilizing data to support decision-making and strategic planning.

FAQs

What are the duration options for this course?

The course can be completed in one year if taken full-time, or in two years if pursued part-time.

What is the fee structure?

The total fee for EU students is €6300, while non-EU students pay €14000.