Take the guesswork out of decision making with the TUS postgraduate diploma in Data Analytics.

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  has developed an industry-focused, contemporary postgraduate 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.

Classroom- One Year Full Time

• Semester 1 (September):

  Relational Databases (5 credits)

  Programming for Data Analytics (10 credits)

  Data Analytics (5 credits)

  Statistics for Data Analysis (5 credits)

  Interpretation of Data (5 credits)

  Semester 2 (January):

  Advanced Analytics (5 credits)

  Research Methods (5 credits)

  Advanced Databases (10 credits)

  Data Visualisation (10 credits)

  Semester 3 (May):

  Applied Research Project (30 credits)

A Level 8 or equivalent honours degree in Business, Science or Engineering, with a minimum grade of 2.1 (60%), 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.

Induction – Saturday 11th September 2023

Classes – Week commencing Monday 13th September 2023

This is a HCI Funded Programme.

This programme will be fully funded for eligible unemployed applicants.

Eligible employed applicants and eligible recent graduates (Summer 2021) will be 90% funded.  They will have to pay 10% directly to AIT.  The 10% payable is €800.

For full details of eligibility criteria and to apply go to www.springboardcourses.ie

Full-time Programme- One Year

Level 9 NFQ , 90 ECTS

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. According to careers website, indeed.ie, in Ireland the average salary is for a Data Analyst is €45,757.

As Data Analytics is a relatively new and emerging field, the application of analytics spans a vast range of industries including finance, marketing, healthcare and biopharma. Career opportunities for graduates of this programme include:

• Data Analyst
• Data Scientist
• Performance and Analytics Analyst
• Data Operations Analyst
• Financial Market Analyst
• Business Intelligence Analyst
• Customer Insight Analyst