Master of Science 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 offers a flexible structure with options for full-time (one year) or part-time (two years) study. It is designed to equip students with the skills to analyze and interpret large and diverse data sets to uncover hidden patterns and valuable insights. The course emphasizes practical abilities that are in high demand across industries such as banking, retail, healthcare, and life sciences. Graduates are trained to work in environments managing large database systems or in roles like data scientist, data analyst, or data storage manager. Through a combination of theoretical foundations and applied projects, students learn to develop solutions for complex, large-scale data problems, giving them a competitive advantage in the expanding field of big data analytics.

Why this course is highly recommended

Students interested in data analysis, programming, and statistical modeling will find this course particularly valuable. It provides advanced skills that are highly sought after in various sectors including finance, healthcare, retail, and logistics. With the rapid growth of data-driven decision-making in businesses, having expertise in big data analytics offers significant career opportunities, ranging from data science to data management roles. The comprehensive modules and industry-relevant skills make it an ideal choice for those aiming to excel in the expanding big data landscape.

Specialisation

This course specifically focuses on Big Data Analytics, covering core modules such as Big Data Analytics, Business Intelligence, Machine Learning, Big Data Architecture, Data Science, and Mathematics for Analytics. The curriculum integrates both theoretical concepts and practical applications relevant to large-scale data analysis and system design, preparing students for real-world challenges in the domain.

Course fees

Application fees

10.84L

1st year tuition fees

10.84L

Living cost

Degree requirements

Applicants should hold 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 may qualify. Non-computing applicants need a minimum of 30 ECT credits in Computing or related modules. Those without an honours degree but with relevant experience can apply via Recognition of Prior Learning (RPL). A one-week bridging course is available if required.

English language test

TOEFL

IELTS

5.5

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, and other related positions. The main employers include companies in business, finance, healthcare, logistics, and retail sectors, reflecting the broad applicability of skills acquired from this course.

FAQs

What are the duration options for this course?

You can choose between a one-year full-time program or a two-year part-time program based on your schedule.

What are the main modules covered?

The core modules include Big Data Analytics, Business Intelligence, Machine Learning, Big Data Architecture, Data Science, Mathematics for Analytics, and a Dissertation.