Description: MSc in Data Analytics
Duration: 1 year full-time or 1.5 years part-time
NFQ Level: Masters
This computing course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of data analytics.
Upon completion of this course, graduates will be able to:
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Conduct independent research and analysis in the field of data analytics
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Implement a research idea using the latest industry practices
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Demonstrate expert knowledge of data analysis and statistics
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Critically assess and evaluate business and technical strategies for data analytics
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Develop and implement business and technical solutions for data analytics
About this course
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 commercialisation considerations 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.
Who is the course for?
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.
Entry requirements
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.
Indicative schedule
Part-time students will meet two evenings per week, 18.00 -21.00.
Full-time students need to be available 09.00-17.00 Mon – Fri, and may also be required to attend classes after 5pm (Class days and times vary).
Course fee
The full-time cost of this course is €6,500 total fee. The part-time cost is €4,475 per annum, or €8,950 total fee.
(Fees revised annually)
You can spread the cost of this course with a direct debit plan.
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