Postgraduate Certificate in Computing (Data Science)

The part-time online Postgraduate Certificate in Data Science 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 embedded Certificate programme combines 7 taught modules providing foundational skills in data science.

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 Postgraduate Certificate in Computing (Data Science) is fully online, delivered over 1.5 years, consisting of seven taught modules. 

Study hours: Whether you are studying part-time online, blended or full-time online, it is very important that you allocate enough study time to your online course to stay focused, reduce stress and achieve your goals. For part-time online or blended learning, it is recommended that you should try to allow for 5-6 hours per week per 5 credit module to your studies.

Live Lectures: Live lectures normally take place between 6pm and 10pm, Monday to Thursday but this may vary depending on the availability of specific lecturers. For the MSc in Computing (Data Science), students are expected to attend 2-3 lectures each week which can range from 1-3 hours. If the Live Classroom scheduled times for the live online lectures do not suit you, recordings will be made available through Moodle.

This online programme has a January Intake only each year.

 

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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