Data Analytics (Part-time)

The Technological University of the Shannon, located in Ireland, is a prestigious institution that offers many advantages for international students. You'll benefit from its strong emphasis on practical learning, industry engagement, and research excellence. With a supportive and inclusive community, you'll feel right at home. As a technological university, it plays a vital role in driving innovation and economic growth in the region.

TU Shannon focuses on many subjects, including programs in engineering, business, and medicine, with 115 programs available. Specifically, the university has departments that cover these areas, providing you with opportunities to specialize in your field of interest. English is the primary language of instruction, helping you to improve your language skills.

As a student, you'll have access to modern facilities and a unique location. The Shannon region offers a great balance of urban and rural life, with many opportunities for internships and research projects. You'll be able to take part in active student clubs and organizations, making the most of your time at the university. With 14,900 students, including 4,300 international students, you'll be part of a diverse and lively community.

The Data Analytics program at Technological University of the Shannon is a 2-year, part-time, non-degree course taught in English. This program helps students develop skills to analyze big data and draw conclusions. It's ideal for those who want to excel in the emerging field of Data Analytics.

The curriculum covers subjects like databases, statistics, programming, and data visualization. Students learn to use tools like SQL, Python, and R to generate insights from data. The program also includes an applied research project with a 20,000-word thesis.

Graduates can pursue careers as Data Analysts, Business Intelligence Developers, Operations Research Analysts, Quantitative Analysts, or Data Scientists. They can work in various industries, including finance, healthcare, and technology, and be employed by companies like Google, IBM, or Accenture.