Higher Diploma in Data Analytics (Springboard/online)

Higher Diploma in Data Analytics (Springboard/online)

Course Overview

  • 2

    Year P/T

  • 8

    Level

Why take this course?

Update 16/6/2021: Funding has been secured and 40 places are now available on this programme. Applications are now being accepted here.

And remember, when you graduate, you will receive your award from Ireland’s newest Technological University - TUS (Technological University of the Shannon)

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.

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.

Additional Information

Applications are made via the Springboard site: https://springboardcourses.ie/

Induction

Institute Induction for students that are new to the Institute will take place in September. Attendance on that date is mandatory.

Programme Fee

To be confirmed.

Duration

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.

Commencing

The programme will commence on the 13th of September 2021, with a mandatory online induction on Saturday 11th September.

Enquiries

analytics@ait.ie

Tel: (0)90 647 1821

Delivery

Online/Blended

Assessment Information

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.

Course Details

Course Fees:
Depends on circumstances
Course Duration:
2 Year P/T
Course Commencement Date:

13th September 2021

Course Award:
Higher Diploma
Course NFQ Level:
Level 8
Department:
Dept of Accounting & Business Computing
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.

Accreditations/Endorsements

Course Structure

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

Careers & Opportunities

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.

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