MSc in Computing (Data Science)

The part-time online MSc in Data Science o prepares graduates for future work opportunities in data analytics, big data and artificial intelligence. Data Science is an occupation in high demand with strong employment growth across multiple industry sectors. Our unique Masters programme combines 6 taught modules with a strong research project, where students are given the opportunity to implement their learning within a real-life context.

Accordion / FAQ component

To qualify for entry to the programme a standard applicant must hold a Level 8 Honours Degree 2:2 or above. While it expected that most applicants will have an honours degree in Computer Science or related discipline, due to the multidisciplinary nature of Data Science an Honours Degree in Engineering, Business and Science will be sufficient. However, some programming knowledge (Ideally Python or C/C++ or R) and mathematics knowledge are prerequisites to the course. Graduates who have not obtained this minimum may incorporate other equivalent qualifications and relevant work experience and apply for assessment via the Recognition of Prior Learning (RPL) process. RPL is a process that may allow you to gain admission to a programme or to receive exemptions/ credit for some parts of the programme based on demonstrated learning that you may have achieved through another programme of study or through your work or career. Further information is available at www.atu.ie/recognition-of-prior-learning which our dedicated RPL portal or by contacting our admissions team at admissions.sligo@atu.ie .

  • The programme is delivered part-time online over two stages.

    Stage one of the programme consists of six taught modules, delivered over three semesters. The taught modules examine key aspects of Data Science. These taught modules will provide the student with the fundamental skills required for solving problems in the area of Data Science. An additional taught module in Research Methods will also be provided to assist the students in beginning stage two.

    Stage two consists of a research project which is designed to develop a real and tangible research project, relevant to academic requirements, the student’s career aspirations and/or employer’s needs. The student will complete the project over three semesters. Students will be able to propose their own project areas, subject to agreement with their supervisor. Work related projects are encouraged, again, subject to agreement with their supervisor.

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Detailed Course Information

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