Programme Overview
Programme Overview
Take the guesswork out of decision making with the TUS Athlone campus part-time (online) MSc in Data Analytics.
PLEASE NOTE: THE PRECISE START DATE IN SEPTEMBER IS YET TO BE CONFIRMED, 6th SEPTEMBER SHOULD BE USED AS A GUIDE ONLY. PLEASE ENSURE YOU CHECK WITH US FOR EXACT DATES.
Data Analytics is the process of examining vast quantities of data, often referred to as Big Data, in order to draw conclusions and insights about the information they contain. Some examples of Data Analytics applications include real-time fraud detection, complex competitive commercial analysis, website optimisation, intelligent air, road and other traffic management and consumer spending patterns.
Big Data presents three primary problems: there’s too much data to handle easily; the speed of data flowing in and out makes it difficult to analyse; and the range and type of data sources are too great to assimilate. With the right analytics and techniques, these big data can deliver hidden and unhidden insights, patterns and relationships from multiple sources using Data Analytics techniques.
TUS Athlone, has developed an industry-focused, contemporary masters programme that 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 runs over two calendar years, commencing in September, consisting of four semesters. Semesters 1, 2 and 3 will incorporate 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. Semester 4 will consist of a substantive research project. Classes are delivered online across two evenings a week – Monday’s 7pm-9pm and Wednesday’s 7pm-9pm.
At the core of the discipline is data. In this pillar, students will develop their skills in areas including database technologies, data manipulation languages including SQL and the R programming language. In order to understand the data, a range of techniques will be taught, including programming for Big Data, statistics and probabilities and the interpretation of data. Interwoven within these modules is the use of industry-standard data analytics software tools. The final pillar of the programme is analysis. In these modules, students will develop skills to become data-savvy practitioners, gaining insights into data from which strategic decisions can be made.
Applied Research Project: In Semester 4 of the programme, students will be required to undertake a data analytics project and associated thesis of 20,000 words.
Why Should I Study This Course?
Why Should I Study This Course?
The Expert Group on Future Skills Needs report identified Data Analytics as an area of skills deficit. Given the wide range of industries in which Data Analytics can be utilised, the demand for Data Analytics graduates continues to soar.
How Do I Apply?
How Do I Apply?
Please complete the Course Enquiry Form using the Enquire Now link below, and a member of Midland Border East Skillnet will contact you in due course. Alternatively, you can call our office on 043 66 86000, or email info@mbeskillnet.ie
Fees and Funding
This funding initiative will be available to all private sector companies, their employees and sole traders. As part of this Initiative Midland Border East Skillnet, in partnership with TUS (Technological University of Shannon), will offer potential participants funding the normal cost of this course is €4000 per annum to MBE Skillnet Members the cost will be €2700 per annum fee payable to Midland Border East Skillnet once academic entry criteria has been confirmed by Technological University of Shannon.
NB: Course details, such as start dates, duration, location, and cost, may change without notice. Full and final details will only be verified upon receiving contact back to your Enquiry, from Midland Border East Skillnet.
Furthermore, if you don’t see a Training Programme, or a start date that suits you, please do use the Enquire Now button and we will respond to you in due course.
Entry Requirements
Entry Requirements
A Level 8 or equivalent honours degree in Business, Science or Engineering, with a minimum grade of 2.2 (50%), comprising of at least 30 ECTS credits in any combination of maths, computer science or engineering. In line with institute policies, non-native English speakers are required to have an IELTS level of 6.5 or higher.
All applicants will be subject to an interview.
