Data Analytics
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
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 appropriate techniques and utilise the most relevant tools to generate insights into such data.
The programme is build to offer the student maximum flexibility in terms of learning and collaboration opportunities, using platform-independent technologies to ensure that you can fit your learning around your busy life. In addition, there will be a number of Saturday workshops where you can meet your lecturer face-to-face, in addition to your fellow students, and experience the social aspect learning.
Year 1
Semester 1:
Database systems
Programming
Data Analytics 1
Semester 2:
Probability and Statistics
Data Analytics 2
Interpretation of Data 1
Year 2
Semester 3:
Interpretation of Data 2
Data Analytics Case Studies
Advanced Databases
Semester 4:
Project
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.
Application dates
Applications are made via the Springboard site: https://springboardcourses.ie/
Duration
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 delivered Tuesday and Thursday 7.00pm to 9.00pm. All are recorded so you can view them at a later stage. The software used is free and means you can attend classes virtually, on your laptop (Windows/Mac and even Linux), tablet and mobile phone.
Plus a number of Saturdays per semester on-campus here in AIT.
Post Course Info
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.