PG Dip (Science) in Business Data Analytics
Our flexible business data analytics programme
Register your interest to be kept informed. The information below refers to our Autumn 2022 programme.
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Programme Type: Postgraduate Diploma in Science
Next Intake: To be announced
NFQ: Level 9
Duration: 36 weeks
Academic Validation: QQI
Professional Certification: Analytics Institute
About the
PG Dip (Science) in Business Data Analytics
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 below refers to our Autumn 2022 programme.
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.
Entry Requirements
This information refers to our Autumn 2022 programme.
Applicants must hold 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.
English Language Proficiency
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).
Mathematical Proficiency
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 are introduced in a two-week orientation programme. Online learning resources are also provided to students in mathematics or programming should they require it after they complete the orientation programme.
Applications for this programme are made through Springboard+.
Support for Students
Administrative and technical support teams, faculty and tutors are committed to helping students meet academic and career goals while having a positive experience. Students can draw from a range of available support to navigate big and small questions.
Our Faculty
Our dedicated faculty are mentors and leaders who bring their rich experience to the learning environment at Hibernia College. They are educators, practitioners and active researchers. Common among all our faculty is their focus on students.
Student Experiences
Are you curious about studying at Hibernia College? Former PME students share their reasons for choosing Hibernia College, their prior experience, research and careers. ‘As a mother and mature student, the course’s flexibility and the use of blended learning made it possible for me to balance my studies with taking care of my family.’ – Therese Barrett
