MSc in Data Analytics, Technological University of the Shannon: Midlands Midwest (TUS)

Althone, Leinster

12 Months

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About this course

The MSc in Data Analytics at TUS Athlone is designed to take the guesswork out of decision making by teaching students how to analyze vast amounts of data, known as Big Data. The program covers key aspects of data analytics including handling large, fast-moving, and varied data sources to uncover valuable insights and patterns. It emphasizes industry-focused skills in techniques and tools necessary for working with Big Data, with coursework that combines theoretical knowledge and practical application. Over one year, students will learn about data handling, programming, statistical analysis, and data visualization, culminating in a substantial research project. This course aims to equip graduates with the expertise needed to excel in an emerging and expanding field, with applications across numerous industries like finance, healthcare, marketing, and more.

Why this course is highly recommended

This master's program is highly recommended for those interested in a rapidly growing field that is transforming industries across the board. Its industry focus ensures graduates acquire practical skills in handling Big Data, which is essential for roles like Data Analyst, Data Scientist, and Business Intelligence Analyst. The course's structure—covering data handling, analysis techniques, and real-world projects—provides a solid foundation for a successful career, and the opportunity for further study adds flexibility for continuous professional development.

Specialisation

The program uniquely integrates core pillars of data analytics—Data, Tools & Techniques, and Analysis—each overlapping to build comprehensive skills. Students will develop expertise in database technologies, programming languages such as SQL and R, statistical methods, data manipulation, and visualization. These modules are designed to deepen understanding of the entire data analytics process, preparing students to translate complex data into actionable insights and strategic decisions.

Course fees

Application fees

1st year tuition fees

15.80L

Living cost

Degree requirements

Applicants need a Level 8 or equivalent honours degree in Business, Science, or Engineering with at least a 50% (2.2) grade. They should have at least 30 ECTS credits in maths, computer science, or engineering. Non-native English speakers are required to have an IELTS score of 6.5 or higher.

English language test

IELTS

6.5

PTE

TOEFL

DUOLINGO

120

Career prospects

Graduates of this program can explore numerous roles in various sectors such as finance, healthcare, marketing, and biopharma. Potential positions include Data Analyst, Data Scientist, Performance and Analytics Analyst, Data Operations Analyst, Financial Market Analyst, Business Intelligence Analyst, and Customer Insight Analyst. The skills learned are highly adaptable, opening up a promising career path in the expanding analytics industry.

FAQs

What is the duration of the course?

The MSc in Data Analytics is completed over one calendar year, commencing in September and spread across three semesters.

What are the key modules in the program?

The course includes modules like Relational Databases, Programming for Data Analytics, Data Analytics, Statistics for Data Analysis, Advanced Analytics, Data Visualisation, and an Applied Research Project.