This computing course aims to produce
high-quality, technically competent,
innovative graduates that will become
leading practitioners in the field of data
Upon completion of this course, graduates
will be able to:
The course structure accommodates a
wide audience of learners whose specific
interests in data analytics may be either
technically focused or business focused.
All students will also gain exposure
to pertinent legal issues and product
associated with the data analytics field.
The course will be delivered using academic
research, industry-defined practical
problems, and case studies. This approach
will naturally foster a deeper knowledge
of the subject area and create transferable
skills for work such as critical thinking,
problem-solving, creative thinking,
communication, teamwork and research
skills. The course is completely delivered
by faculty and industry practitioners with
proven expertise in data analytics.
Students on the course also have free access to DataCamp. DataCamp allows students to revisit and reinforce the knowledge acquired during lectures when and where they like.
This course is ideal for graduates that are
looking to progress into the emerging
data analytics market to increase their
employment potential. The course is
suitable for graduates who have technical
or mathematical problem solving skills.
Graduates from disciplines that have not
developed these skills will need to be able
to demonstrate an aptitude for technical or
mathematical problem solving.
For information on the modules taught on this course view our module descriptors.
Students on the course also have free access to DataCamp. Datacamp allows students to revisit and reinforce the knowledge acquired during lectures when and where they like.
The Master of Science in Data Analytics is
awarded by QQI at level 9 on the National
Framework of Qualifications. Students who
successfully complete this course may
progress to a major award at level 10 on the
NFQ. Students may also elect to exit early
with the Postgraduate Diploma in Science
in Data Analytics at level 9 on the NFQ.
An honours (level 8) primary degree with a
2.2 award or higher. The college operates a
Recognition of Prior Experiential Learning
(RPEL) scheme meaning applicants
who do not meet the normal academic
requirements may be considered based on
relevant work and other experience.
Students need to be
Mon – Fri. Full-time students
may also be required to
attend classes after 5pm.
(Class days and times vary).
This course runs over 1 year; 2 semesters and a
final research project.
€6,500 total fee
(Fees revised annually)
You can spread the cost of this course with a direct debit plan.
For non-EU students the cost of this course is €13,000. For more information contact our international office. Find out more about studying in Ireland.
The fee for this course for international students is €14,500.
Find out more about studying here as an international student.
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