Study location	Ireland, ATU Letterkenny
Type	Postgraduate, full-time
Nominal duration	1 year (90 ECTS)
Study language	English
Awards	MSc (Master of Science in Data Science and Preparatory Certificate in Computing)
Course code	0068/0205

Tuition fee	€14,000 per year *Subject to approval by ATU Governing Body (Feb 2025)
Application fee	€20 one-time

Entry qualification

Undergraduate Honors Degree (or higher) More Details The entry qualification documents are accepted in the following languages: English. This includes a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. If your Documents are not in English, please upload a translated version You must take the original entry qualification documents along with you when you finally go to the university.

Language requirements	English Accepted proof of proficiency: FCE or CAE, IELTS 6+ or TOEFL 79+ Minimum 6 with no less than 5.5 in any of the components. More Details Here

More information	atu.ie/..es/master-of-science-data-science

Overview

The Certificate in Computing is an online-preparatory programme which is taken remotely in June and July. It is designed to prepare students to undertake the on-campus MSc when they arrive in ATU Donegal.
The MSc is an on-campus taught program which focuses on topics applicable to Data Science. It includes a dissertation component which will offer the student the opportunity to apply a range of topics covered in the programme to demonstrate an extended knowledge of and ability to work in the area of data science. Students who do not take the dissertation may graduate with a Postgraduate Diploma in Data Science.

Career opportunities

Graduate careers typically include 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 are companies in business and computing, construction, finance, healthcare providers, logistics, retail, and supply chain management.