Master of Science in Data Analytics (Part-Time)

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  • Aim of Programme

    The MSc in Data Analytics (part-time) is a 2-year, online programme, designed to deliver the core skills and knowledge needed to work as a data practitioner, in addition to providing the flexibility to fit around a student’s busy lifestyle. The programme incorporates three key pillars of data analytics: Data, Tools & Techniques and Analysis. Each pillar overlaps with the other to provide a coherent and unified set of core skills in data analytics. The research project will consist of an industry-focussed project, which students can undertake within their own employer, or in conjunction with AIT industry partners.

    Aim of Programme

    The programme aim is to equip graduates with the ability to work with large volumes of data, irrespective of where this data originates, to derive meaning and insights. Graduates will be equipped with the skills to manipulate this data and present such insights by utilising range of analytical skills and analysis techniques. The programme will incorporate mathematical and numerical analysis, by utilising a range of software tools including databases, analytical software and visualisation software.

    Online / Blended

    • 9
      NFQ Level
    • 90

    Programme Content

    Programme Content

    (Module titles per annum)

    Year 1

    January – May

    • Relational Databases (5 credits)
    • Statistics for Data Analytics (5 credits)
    • Programming for Data Analytics (10 credits)

    September – December

    • Advanced Databases (10 credits)
    • Data Analytics and Interpretation (10 credits)

    Year 2

    January – May

    • Advanced Analytics (5 credits)
    • Data Visualisation (10 credits)
    • Research Methods (5 credits)

    September – December

    • Research Project (30 credits)

    Minimum Entry Requirements

     Minimum Entry Requirements

    A Level 8 honours degree, consisting of at least 30 credits (12.5%) of a numeracy and/or computing content.





    After completion of this MSc, graduates have the option of undertaking a PhD

    Delivery Format

    Delivery Format

    2 evenings per week, Mondays and Wednesdays, entirely online.

    Optional Friday workshops (2 per semester – attendance not mandatory)



    Induction for the 2021/2022 academic year takes place (online via Zoom) on Saturday 8th January from 930am to 1pm. In advance, you will be required to review Pre Induction reading material, available to you on

    During Induction, you will be given the opportunity to:

    • Meet your programme lecturers, programme co-ordinator and students
    • Overview of the programme handbook, programme’s modules, assessments and delivery timetable
    • Introduction to Athlone IT’s operating systems including MS Office, Zoom, Moodle etc
    • Outline of the learning supports available to you during the programme




    Frequently Asked Questions

    Do you have a question?

    You may find the information you need in our FAQ section.

    If not, don’t hesitate to get in touch, we’re always happy to help.

    Call 090 648 3050





    2 Years

    Monday 7 pm to 9.30 pm
    Wednesday 7 pm to 9 pm

    Programme Fee

    €3,125 per year


    Monday 10th January 2022


    [email protected]

    Further details: HERE 



  • Please refer to our Quick Help Guide  for step by step instructions for online application.

    Graduates will be equipped with the skills to manipulate data and present insights by utilising a range of analytical skills and analysis techniques.