Logo of National College of Ireland

MScData Analytics

Tuition fee €15,000 per programme
More information

Expenses, accommodation, working etc.

ncirl.ie/..CI-Course-Details/course/MSCDAD 

Overview

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:

-Conduct independent research and analysis in the field of data analytics.

-Formulate and implement a novel research idea using the latest industry practices.

-Demonstrate expert knowledge of data analysis, statistics, and the tools, techniques and technologies of data analytics utilised in both technical and business contexts.

-Critically assess and evaluate business and technical strategies for data analytics.

-Develop and implement effective business and technical solutions for data analytics.

-Critically appreciate ethical and data governance issues relevant to data analytics.

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 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.

According to a Higher Education Outcomes Report released by the CSO, ICT graduates receive the highest weekly earnings five years after graduating compared to other sectors based on the analysis of the destinations of students who graduated between 2010 and 2016.

Programme structure

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.

Assessment

This course will be assessed with a blend of project work and exams. This varies between modules but typically assessment is 50% continuous assessment and 50% exam.

Career opportunities

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.

Apply now! Fall semester 2021/22
Application period has ended

Application deadlines apply to citizens of: United States

Apply now! Fall semester 2021/22
Application period has ended

Application deadlines apply to citizens of: United States