:format(webp)/799x0:4001x3202/prod01/channel_5/courses/media/maynooth/content-assets/course-images/Branded20Jumper.jpg)
HIGHER DIPLOMA IN DATA ANALYTICS
- Qualification
- Higher Diploma
- CAO/MU Apply code
- MHR66
- Award Type and NFQ level
- HIGHER DIPLOMA (8)
- Study Mode
- Full time
- Closing Date
- 27 August 2027
Overview
Data analytics/science is the science of extracting insight from large amounts of raw data in order to enable better understanding of the processes that created it and so help in analysis, theory exploration and decision making. These techniques can be applied in the natural science, social science and business domains.
The Higher Diploma in Data Analytics is carefully designed to address industry needs. The course is a collaboration between the Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation.
The modules are designed to give students the knowledge and skills to collect, process, analyse and visualise data in order to extract useful information, explore statistical patterns, test hypotheses and explore the implications of models.
Course structure
Duration: 1 year full-time
Students will gain skills in programming, statistics and databases, followed by an advanced module on statistical machine learning. The course includes material on the social and ethical consequences of the use of data and the implications for business and government. Applications from many industry sectors will be explored in our Case studies module. In the Project module, students will put these technical skills in to practice. They will also gain experience in report writing, presentations and teamwork. Our Workplace Preparation module will help students transfer these skills to the workplace.
Disclaimer
The modules below are indicative of the content associated with this course of study.
The modules are subject to change as the curriculum is revised and reviewed annually.
Important: The information on this page is for prospective students, MU current students and staff should use Programme Directory.
Careers
The Data Analytics jobs market is expanding in Ireland. Jobs are available in any industry or sector that collects data, ranging from IT, to healthcare, finance, food science and travel.
Entry Requirements
Applicants who hold a minimum of a Bachelor Honours degree (NFQ Level 8) (or equivalent) with a minimum of a Second-Class Honours, Grade 2 (2:2) in a cognate discipline such as Mathematical Studies, Computer Science or Education. Mathematics should form a substantial component of the degree.
If you do not meet the standard entry requirements then you may be eligible to apply under the University's Recognition of Prior Learning (RPL) policy. Please click here for further information.
Applicants for whom English is not their first language are required to demonstrate their proficiency in English in order to benefit fully from their course of study. For information about English language tests accepted and required scores, please see here.
How to apply
Applications must be made via the MU Apply portal. Please click here to start your application.
When making your application, please ensure you prepare any documents listed below. You may be required to submit documents in two stages. You will be required to upload and submit the following documents with your application:
- Full academic transcripts for all semesters/ years completed to date
- Graduation Certificate if you have graduated
- A copy of your passport
- Up to date CV
You will be required to upload the following documents after you submit your application:
- Personal Statement (minimum 500 words on why you would like to study your chosen programme)
- An Academic reference
If English is not your first language, you may be required to upload evidence of English language proficiency. For information please click here.