Master of Science in Data Analytics (Part-Time)

Faculty Specific

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

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Accounting and Business Computing.

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
    Credits

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.


 

 

Progression

Progression


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

Induction


AIT Induction Sessions will take place on Friday 18th September 2020 6.00pm to 9.00pm, Saturday 19th September 2020, 9.30am to 12.30pm and 2.00pm to 5.00pm.

All registered students must attend one session, and you will be advised of your session when your application is processed. This is a face to face induction, where registered students will meet their lecturers and become acquainted with AIT operating systems, such as our online delivery platform, Moodle, Rules and Regulations etc.

All current regulations and public health guidelines in relation to social distancing will be in place at these sessions.


 

 

Details

Details


Duration

40 Weeks per annum
100

Monday and Wednesday, 7.00pm – 9.00pm (Online)

Programme Fee

€2,500 per annum

Commencing

January 2021

Enquiries

Kathleen Begley, Faculty administrator
Email: [email protected]/Tel: +353 (0)90 647 1857