MSc in Data Analytics (Athlone) in Athlone Ireland | Technological University of the Shannon

Technological University of the Shannon | Athlone Ireland
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Qualification
Masters Degree (Taught)
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
EUR 16,500
(c. USD19,012.95)
Attendance
Full-time
Full-time Duration
12 months

Eliminate uncertainty in your choices with the TUS Athlone MSc in Data Analytics.

Data Analytics involves scrutinizing massive datasets, commonly known as Big Data, to uncover meaningful patterns and insights. Practical applications range from instant fraud detection and sophisticated market analysis to website enhancement, smart traffic control systems, and tracking consumer behavior trends.

Big Data poses three key challenges: overwhelming volume, rapid data flow velocity, and diverse data formats. Through proper analytical methods, these complex datasets can reveal valuable connections and insights from various sources using Data Analytics approaches.

TUS Athlone offers a cutting-edge, industry-aligned master's program designed to prepare graduates for success in the expanding Big Data and Data Analytics sector. This program empowers students to comprehend data contexts, implement suitable methodologies, and leverage optimal tools to extract meaningful information.

This intensive one-year program begins each September, structured across three semesters. The first two semesters focus on three fundamental aspects of data analytics: Data Management, Analytical Tools & Techniques, and Interpretation. These interconnected components build a comprehensive skillset. The final semester centers on an extensive research project.

Data forms the foundation of this discipline. Students will enhance their expertise in database systems, query languages like SQL, and programming with R. The curriculum covers essential Big Data programming, statistical methods, and data interpretation, all while utilizing professional-grade analytics software. The analytical component trains students to become proficient data interpreters capable of informing strategic business decisions.

Capstone Project: During the third semester, students complete a comprehensive data analytics project accompanied by a 20,000-word thesis.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.5

Qualification Requirements

A Level 8 or equivalent honours degree in Business, Science or Engineering, with a minimum grade of 2.2 (50%), comprising of at least 30 ECTS credits in any combination of maths, computer science or engineering. In line with institute policies, non-native English speakers are required to have an IELTS level of 6.5 or higher.

Tuition EUR 16,500

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