National College of Ireland Higher Certificate in Data Science
National College of Ireland

National College of Ireland

Higher Certificate in Data Science

Dublin, Ireland

Certificate

English

On-Campus

Key Summary

    About : The Higher Certificate in Data Science is designed to provide essential skills for analyzing and interpreting data. This program covers key concepts and techniques in data management, data analytics, and machine learning. Students will engage in hands-on projects and collaborate with peers to develop practical solutions to real-world data challenges.
    Career Outcomes : Graduates can pursue various roles such as data analyst, data scientist, or business intelligence consultant. There's potential for work in sectors like technology, finance, healthcare, and marketing, where data-driven decision-making is critical.

NCI's Higher Certificate in Data Science uses a blend of computer science and data science to provide you with the knowledge and skills necessary to carry out data modelling, data management and data analysis activities, and to interpret and communicate that data to a variety of audiences.

This course will be particularly appealing to students who are unsure about enrolling in a degree programme initially and see the Higher Certificate as a progression route to a degree at a later stage. The course is for school leavers, mature students and graduates of QQI level 5/6 programmes.

The programme gives you the mathematics, programming and problem-solving skills required to exploit data in addressing real-world problems. You will also develop your problem solving, teamwork, critical thinking and communication skills.

Graduates of this course can identify, clean, integrate, select, transform, and mine different types of datasets with consideration of ethical, privacy and data protection issues, in order to summarise and present new knowledge; design, implement and document algorithmic solutions that demonstrate use of processes, methodologies, tools and techniques that solve known problems; and utilise statistical analysis, modelling, data mining and machine learning tools and techniques to analyse datasets.

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