Master of Science in Data Analytics

Athlone Institute of Technology (AL_KDATJ_9)
Key Programme Details
Award

Master of Science in Data Analytics

NFQ Level

9 About NFQ

Delivery Method

Online, Distance

Mode

Part Time

ECTS Credits

90

Skills Area

Information and communication (including ICT)

General Information
Contact

Trevor Prendergast

Email

analytics@ait.ie

Phone

+ 353 (0)90 647 1857

Address

Department of Accounting and Business Computing,
Business Faculty,
Athlone Institute of Technology,
Dublin Road,
Athlone,
Co. Westmeath

Role

Head of Department

Important Dates
Application Deadline

10/01/2019

Start Date

02/2019

End Date

12/2019

About this Course

Applications for this programme are now closed.



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 a range of analytical skills and analysis techniques. The programme will incorporate mathematical and numerical analysis, by utilising a range of software tools including databases, spreadsheets, analytical software and visualisation software.

Objectives

The objectives of the programme are to introduce students to a range of skills and software in the areas of data manipulation and management, techniques to manage this data and ultimately, analytics methodologies that can elicit meaningful insights from large data sets.

The Programme Learning Outcomes are as follows:
· Knowledge Breadth : Demonstrate an advanced knowledge of the theoretical underpinnings of the field of data analytics
· Knowledge Kind : Develop a critical awareness of contemporary issues and opportunities in data analytics
· Know How & Skill Range : Utilise a range of research methods, techniques and software tools, underpinned by the analytical approaches necessary to sustain the credibility of such lines of inquiry
· Know How & Skill Selectivity : Select and apply the appropriate software tools for the specific context, underpinned by appropriate theories and practices relevant to the field of Data Analytics
· Competence Context : Develop a critical awareness of the professional, legal, social and ethical considerations when dealing with large volumes of data and apply analytical skills, techniques and judgement appropriate to the context
Competence Role : Initiate, plan, lead and manage projects of significant complexity involving peers from a range of disciplines.
· Competence Role : Participate in peer collaboration and evaluation.
· Competence Learning to Learn : Adopt a reflective approach to personal development and embrace the philosophy of continual professional progression and life-long learning in the discipline of Data Analytics
· Competence Insight : Critically reflect on the legal, ethical and social implications of the discipline of Data Analytics

Entry Requirements

Applicants must hold a Level 8 degree or equivalent qualification. Priority will be given to graduates in a numerate discipline.

Long Description

The programme will be delivered in a blended manner. Induction on-campus will occur at the start of the programme. Throughout the programme a small number of on-campus session will be held but the majority of the programme will be delivered online which will facilitate students with other commitments.


Why Choose This Course

The MSc in Data Analytics will 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 necessary to manipulate this data and present insights by utilising a range of analytical skills and analysis techniques. The programme will incorporate mathematical and numerical analysis by utilising a range of software tools including databases, spreadsheets, analytical software and visualisation software.
Modules Include:
Relational Databases
Programming for Big Data
Statistics for Data Analytics
Interpretation of Data
Advanced Analytics
Business Research Methods
Data Visualisation
Applied Research Project

Timetable Info

Online 1 Year: Mon & Wed evenings online

Delivery Notes

Blended

Application Procedures

Closing Date for applications is 10th January, 2019. The programme will be delivered online, with Induction on 12th January in the the Athlone Institute of Technology from 9.30am. Formal Lectures will Commence on Mon 14th January, 2019. Attendance at the Induction is compulsory.

Media
MSc in Data Analytics

MSc in Data Analytics - Athlone IT

https://www.ait.ie/courses/mscdas