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Big Data Management & Analytics

About the course
The programme seeks to provide graduates with the skills necessary to enable them to find employment in the I.T. sector or to proceed to obtain higher qualifications in computing. The programme learning outcomes are in accordance with those outlined by QQI for Level 9 qualifications.

The aims of the programme are to:
– Develop independent, critically-minded specialists capable of analysing industry trends and opportunities in the field of Big Data

– Enable learners to take intelligent advantage of those trends and opportunities in the field of Big Data via robust and efficient practical solutions to data storage and analysis

– Prepare graduates to rigorously apply appropriate research, design and implementation strategies in the development of Big Data solutions

– Develop analysts capable of performing in-depth, coherent, and ultimately significant reports on the state of the art and the likely future directions of the field, with respect to a problem domain

– Extend the learners’ in-depth knowledge, understanding and practical skills in meeting the specific technical and design requirements of exacting industry standards as they emerge

– Deepen the learners’ knowledge of supporting topics such as statistical analysis, including an in-depth understanding of the appropriateness of particular analytic models for a given task, data gathering, and Big Data algorithm design, to name a few

– Develop the skills necessary to do independent research in a professional manner

– Prepare learners who can reliably perform a range of distinct roles within group based project teams by establishing effective collaborative working relations with colleagues to achieve common goals

– Enable graduates to implement robust, scalable Big Data applications with a focus towards providing business intelligence to key industry decision makers

– Develop team-players who can reliably communicate problems, ideas and solutions to all levels of the industrial team, from computing colleagues, to administration, to senior management and beyond.

Programme structure
This programme contains eight taught modules and a final Dissertation/Dissertation by Practice. Four modules are taught per semester; so learners complete eight taught modules over two semesters and then complete a project over a period of twelve weeks. The overall programme is one calendar year long. The learners who start in September, complete taught modules by the following May and complete their projects over the summer, thus completing the entire programme within one calendar year.

Entry requirements

Candidates applying for this course should have a 2.2 Level 8 honours degree in Computing Science, or a 2.2 Higher Diploma in Computing or related discipline or international equivalent and/or relevant work experience.

Duration

1 Year Full-Time, 1.5 Years Part-Time.

Careers or further progression

Progression
Graduates who are successful on the MSc course are eligible to be considered for entry onto a doctoral degree.

Further enquiries

For Further Information
Please contact the Admissions Office
t: +353 1 415 0415
e: admissions@gcd.ie

Subjects taught

Full-Time Programme
Semester I
Research Methods, Big Data Analytics, Information Retrieval and Web Research, Concurrent and Parallel programming,

Semester II
Cloud Computing, Big Data Management, Data Mining Algorithms and Techniques, Applied Data Science,

Semester III
Dissertation by Practice.

Comment

Validated by QQI.

Enrolment and start dates

Application can be made directly to the GCD Admissions Office or via the website www.griffith.ie/apply

Applications for all direct entry programmes (undergraduate, postgraduate, part-time/evening time) must be made on the website www.griffith.ie/apply and relevant* supporting documentation can be emailed to admissions@griffith.ie or posted to:

The Admissions Office,
Griffith College Dublin,
South Circular Road,
Dublin 8.

*All applications for direct entry to undergraduate programmes should include a copy of official Leaving Certificate results with the exception of mature applicants (who must supply evidence of date of birth).

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