Entry Requirements
Applicants will be admitted onto the Higher Diploma in Science in Data Analytics once they have satisfied the following entry criteria:
A Primary Honours Degree (Level 8) in a non-cognate discipline from a recognised third-level institution or equivalent qualification.
Applicants should ideally demonstrate technical or mathematical problem-solving skills through previous academic study or work experience. Candidates from numerate or technical disciplines may receive higher ranking during the selection process.
English language competency to CEFRL B2+ (IELTS 6.0 Academic or equivalent) is required for international students whose first language is not English.
Recognition of Prior Learning (RPL)
Applicants may also be considered for entry through Recognition of Prior Learning (RPL) or assessment of prior experiential learning.
Applications are reviewed on a case-by-case basis, considering educational background, professional experience, technical aptitude, and the applicant’s ability to successfully participate in the programme.
Course Structure and Fees
Higher Diploma in Science in Data Analytics
Location: On Campus, Dublin 2
Timetable: Typically, 3 full days per week, lectures scheduled between 9am and 5pm, delivered over 2 semesters / 1 academic year
Suitable for:
Graduates from non-computing backgrounds seeking to transition into data analytics and data-driven careers
Professionals looking to develop advanced analytical and technical skills
Fees:
€6,150 – Irish/European Nationals
€6,150 – Non-EU nationals residing in Ireland (Stamp 2)
€8,600 – Non-EU applicants applying from outside Ireland
All fees are payable per academic year of study.
Career and Progression
Graduates of the Higher Diploma in Science in Data Analytics can pursue a range of careers across the technology, finance, healthcare, business, and public sectors. Examples of roles include:
Graduates may also progress to postgraduate study at Level 9 in Data Analytics, Artificial Intelligence, Data Science, or related disciplines.
Aims and Objectives
Course Goals and Career Opportunities
This programme is designed to:
Objectives of the Higher Diploma in Science in Data Analytics
Technical Skill Development: Build practical expertise in Python programming, data mining, statistics, modelling, and business intelligence tools.
Critical Analysis: Develop the ability to investigate, evaluate, and solve complex data-related problems.
Applied Analytics Knowledge: Gain practical understanding of how analytics supports business operations and decision-making.
Advanced Learning Environment: Study in a supportive and academically challenging environment designed for graduate-level learners.
Career Progression: Prepare for further postgraduate study or progression into analytics and technology-focused careers.
Industry-Relevant Skills: Learn modern tools, techniques, and methodologies used across the data analytics industry.
Professional Development: Develop problem-solving, analytical thinking, data management, and communication skills valued by employers.
Build Your Future in Data Analytics
The Higher Diploma in Science in Data Analytics is designed for graduates and professionals looking to transition into one of the fastest-growing sectors globally.
Whether you are aiming to enter the data analytics industry, enhance your technical skillset, or prepare for advanced postgraduate study, this programme provides the practical knowledge and industry-focused experience needed to succeed in a data-driven world.
Modules
| Course Location | Dublin |
| Location Postcode | Dublin 2 |
| Course Category | Data Analytics, IT & Computers |
| Course Type | Classroom Based |
| Course Qualification | Higher Diploma |
| Awarding Body | ECTS - European Credit Transfer System |
| Awarding Body Details | Higher Diploma in Science in Data Analytics |
| Course Start Date | 7th September 2026 |
| Course Duration | 1 Year |
| Course Time | Typically, 3 full days per week, lectures scheduled between 9am and 5pm, delivered over 2 semesters or 1 academic year |
| Course Fee | 6,150 |
| Entry Requirements | Applicants will be admitted onto the Higher Diploma in Science in Data Analytics once they have satisfied the following entry criteria: A Primary Honours Degree (Level 8) in a non-cognate discipline from a recognised third-level institution or equivalent qualification. Applicants should ideally demonstrate technical or mathematical problem-solving skills through previous academic study or work experience. Candidates from numerate or technical disciplines may receive higher ranking during the selection process. English language competency to CEFRL B2+ (IELTS 6.0 Academic or equivalent) is required for international students whose first language is not English. Recognition of Prior Learning (RPL) Applicants may also be considered for entry through Recognition of Prior Learning (RPL) or assessment of prior experiential learning. Applications are reviewed on a case-by-case basis, considering educational background, professional experience, technical aptitude, and the applicant’s ability to successfully participate in the programme. |
| Career Path | Graduates of the Higher Diploma in Science in Data Analytics can pursue a range of careers across the technology, finance, healthcare, business, and public sectors. Examples of roles include: Data Analyst Business Intelligence Analyst Data Visualisation Specialist Junior Data Scientist Reporting & Insights Analyst Data Management Executive Business Analytics ConsultantMachine Learning Support Analyst Graduates may also progress to postgraduate study at Level 9 in Data Analytics, Artificial Intelligence, Data Science, or related disciplines. |
Entry Requirements Applicants will be admitted onto the Higher Diploma in Science in Data Analytics once they have satisfied the following entry criteria: A Primary Honours Degree (Level 8) in a non-cognate discipline from a recognised third-level institution or equivalent qualification.
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