Data Analytics

TUS - Athlone Campus


Course Name Data Analytics
Course Provider TUS - Athlone Campus
Alternative Provider(s) TUS - Technological University of the Shannon
Course Code 112651 (Assigned by Qualifax. Not an official code)
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Higher Diploma (Level 8 NFQ)  More info... Major Technological University of the Shannon Level 8 NFQ
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Attendance Options Part time, Online or Distance, Daytime, Weekend
Location (Districts) Athlone
Qualification Letters HDip
Enrolment and Start Dates Comment The programme will commence on the 13th of September 2021, with a mandatory online induction on Saturday 11th September.


Institute Induction for students that are new to the Institute will take place in September. Attendance on that date is mandatory.
Application Date Applications are made via the Springboard site:
Application Weblink Web Page - Click Here

Expand+2 years part-time

2 years 48 Weeks - the programme follows the academic calendar, September - December (exams in December requiring attendance at AIT) and Jan - April (exams in May, again requiring attendance at AIT)

Online (live) lectures deli...

Entry Requirements Minimum Entry Requirements:
A Level 8 Honours degree or equivalent in any discipline. Please note a Level 8 Higher Diploma does not meet the entry requirements.
Comment Course Award:
Higher Diploma

Course NFQ Level:
Level 8
Course Content This Higher Diploma in Science in Data Analytics is a conversion course for those who already have a Level 8 honours degree, but not in a technical/scientific/numerate area. It is ideal for those who find their job has taken them towards analytics, perhaps in a haphazard manner and want to formalise their knowledge with a recognised qualification.

The programme covers the key areas of Data Analytics - programming (using Python), SQL, maths (statistics), case studies and project work.
Subjects Taught

Expand+What will I experience?
The programme will equip graduates with the skills and aptitudes necessary to excel in the emerging field of Big Data and Data Analytics. This programme will ensure that you will be able to understand the data context, apply ...

Assessment Method Assessments are a combination of online, written, practical and group (using technologies such as Microsoft Teams/Office 365). Please note that most modules have final written exams at the end of semester that require attendance at AIT. Please refer to the academic calendar for details. Repeat exams are held in August.
Careers or Further Progression Career Prospects
The field of Data Analytics is rapidly expanding, with analytics being used in areas such as finance, engineering, science, marketing and many more. A lot of people currently working in the field find that their career has evolved to incorporate analytics and therefore need to upskill to remain current. This programme will not only provide learners with those skills, but will also open doors to future career prospects.
Further Enquiries Enquiries
Tel: (0)90 647 1821
Course Web Page Web Page - Click Here