Business Data Analytics

Hibernia College

Business Data Analytics

This programme is for those who wish to pursue a career in areas related to data analysis and business intelligence. It will support anyone seeking to either upskill or reskill with a view to forging a career path within the data analytics industry, which was established over 20 years ago and is now undergoing rapid growth with the advent of new technologies such as data mining and machine learning.

The Postgraduate Diploma in Science in Business Data Analytics is a 60-credit award at NFQ Level 9 delivered over three 12-week semesters between September and June. This flexible blended learning programme helps students to forge a career path in data analytics or business intelligence.

We have partnered with the Analytics Institute, Ireland’s professional membership organisation for the data science and analytics industry, who will coordinate work placements and work-based projects for students with its 120+ member organisations. Our aim is to prepare a talented, highly-qualified cohort of work-ready graduates through the deployment of a carefully crafted range of targeted academic and industry-focused activities.

Business analytics, technology and data science are the three pillars of knowledge underpinning the programme. The field of data analytics intersects these knowledge domains, and the programme design reflects this. The programme design is informed by data and analytics thought leaders from higher education and industry and covers areas such as data science, probability modelling, statistical data analysis and essential industry skills such as applied business analytics and effecting successful projects.

Subjects taught

Semester 1
BDA101 Software Development for Business Data Analytics: 5 Credits, 4 Weeks
BDA102 Understanding Data: 10 Credits, 12 Weeks
BDA103 Applied Probability Modelling: 10 Credits, 8 Weeks

Semester 2
BDA104 Statistical Data Analysis & Inference: 5 Credits, 4 Weeks
BDA105 Data Mining & Machine Learning: 10 Credits, 12 Weeks
BDA106 Applied Business Analytics: 5 Credits, 8 Weeks
BDA107 Effecting Successful Projects: 5 Credits, 12 Weeks

Semester 3
BDA108A Placement: 10 Credits, 12 Weeks
BDA108B Project: 10 Credits, 12 Weeks

Entry requirements

This information refers to our Autumn 2022 intake. It will be updated for any future intakes. If you would like to be notified, please enter your details and we will contact you when we have further information.

A minimum grade of Lower Second-Class Honours 2.2, or equivalent, in an honours bachelor’s degree at NFQ Level 8.

Students on this programme will originate from directly cognate disciplines including computer science, mathematics, statistics, engineering and technology. Applicants from partially cognate disciplines such as finance, accounting, business etc. may be accepted as determined by the Programme Director following evaluation against established criteria.

An applicant whose first language/primary mode of expression is not English will be required to produce evidence of English competence. The required proficiency level is B2+ or higher in the Common European Framework of Reference for Languages (CEFR).

The programme requires students to have good numerical and statistical skills. As candidates can come from a diverse range of disciplines, essential foundational mathematics and statistics concepts will be introduced in the two-week orientation programme. Online learning resources will also be provided to students in mathematics or programming should they require it after they complete the orientation programme.

Application dates

Register your interest to receive updates about this programme (Via the Application weblink above)

Applications for this programme are made through Springboard+


1 year full-time.

Enrolment dates

Next Intake: Autumn 2023

We are currently developing a new, flexible blended learning master’s degree that will help you upskill or reskill to forge a career path in data analytics or business intelligence. Register your interest to be kept informed. The information here refers to our Autumn 2022 programme.

More details
  • Qualification letters


  • Qualifications

    Postgraduate Diploma (Level 9 NFQ)

  • Attendance type

    Blended,Part time

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    Course provider