Certificate in Data Analysis and Visualisation
Level 6 About NFQ
Department of Computer and Software Engineering
Dr Enda FallonEmail Phone
090 647 1877
Department of Computer and Software Engineering,
Athlone Institute of Technology,
Head of Department of Computing and Software Engineering
In the world of Big Data, data visualisation tools and technologies are essential to analyse massive amounts of information and make data-driven decisions.
This programme will expose students to the data analytics practices used in industry. This programme will explore areas including analytical process, how data is created, stored, accessed, and how an organisation works with data. This programme will give students a strong foundation in areas that support analytics and will help students to better position themselves for success in industry, while providing a basis for going deeper into advanced investigative and computational methods.
• Level 6 Programme (20 ECTS)
• Online/Blended flexible mode of delivery
• Developed in partnership with the Midlands Regional Skills Manager and relevant companies
• Strong potential for employment, AIT has ongoing formalised relationships with over 75 ICT companies. Course proposal originated from our industrial partners.
• Personal and supportive approach to teaching and learning
• Companies have offered to provide and supervise "real world" oriented industry projects
• Problem Based Learning (PBL) based approaches will be used to challenge and expand the students knowledge, skills and competence.
• The programme addresses to a significant level all four key areas, which have been deemed by government as being of critical importance at this time: digital skills, transversal skills, management and leadership skills and the workplace of the future
This programme places unique emphasis on enabling non specialised ICT persons (inclusive of those unemployed) to upskill them in a field that can be applied across a wide range of application domains. In this context, the offering will also support companies to build awareness of how such technologies can provide value and utility to their organisations.
On successful completion of this programme graduates should be able to:
• Communicate how data analysis mechanisms can be used to provide advantage for an organisation or enterprise.
• Explain how emerging trends in relational database design and implementation can be applied to a real world problem.
• Evaluate business requirements, addressing the issues and trade-offs of data analysis, to create an end to end data processing system.
• Manage the development of innovative data analysis solutions informed by relevant ethical and safety standards.
• Evaluate the quality attributes of existing data analysis technologies.
• Within the scope of applicable professional practice, to implement relevant new procedures and tools for the development of solutions for data analysis.
• Work effectively as a member of a team in order to manage issues, react dynamically based on individual situational context with staff at different levels in an organisation.
Mature applicants (i.e over 23 years)
Leaving Certificate Grade O6 at ordinary level in five subjects in the Leaving Certificate. Two of these subjects must be Mathematics and a language (English or Irish)
QQI Level 5 - Full award with a minimum of eight modules or Recognition of Prior Learning.
In addition the following is required:
• Fluency in English.
• Access to a computer and good broadband.
• Commitment to attend the required practicals and assessments in Athlone IT.
Applicants may be interviewed to verify ability to study and commitment to complete the course.
Though it's Software Research Institute (SRI), AIT has ongoing formalised relationships with over 75 ICT companies. In recent years over 3.5M in industry focused funding has been secured focusing on data analytics and machine learning, areas with significant relevance to the proposed course. Working with our industrial partners, the course development team have involved industry at all stages of the development process through technology brainstorming sessions, technical skills needs questionnaires to course proposals of which An Introduction to Data Analysis and Visualisation is one. The result is an industry focused, engaging and real world relevant course.
The course has been designed and taught by staff who have significant industry links and teaching experience.
• Data and Analysis in the Real World
• Analytical Tools
• Data Visualization
Student Induction Sessions will take place in AIT 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.
All current regulations and public health guidelines in relation to social distancing will be in place at these sessions.
One year; Wednesday evenings 7.00pm to 9.00pm online. Plus three Saturdays face to face in AIT.
Online - 7.00pm Tuesday 22 September 2020
Online and AIT
Blended Delivery - this course will be delivered mostly online with some face to face classroom based workshops on Saturdays.
Applications will be considered in the order in which they are received.
This is a FREE programme for those that meet funding eligibility criteria.
AIT operates a two stage application process. You must complete both stages in order for your application to be assessed.
STAGE ONE – ACADEMIC ELIGIBILITY
You must make your course application here on www.springboardcourses.ie
You must upload a copy of your highest/most relevant qualification, as per the entry requirements above to this application system.
STAGE TWO – FUNDING ELIGIBILITY
When making your application (or as soon as possible after) you complete an eligibility declaration here:
https://tinyurl.com/yawowndq (please copy and paste this link into the address line of your browser)
On receipt of your completed course application and completed declaration an initial assessment will be made and you will receive a request from AIT to upload required documentation to a secure folder. You must complete this request as soon as possible after you receive it. It will expire after 5 days.
This request will ask for a scan/clear photo of the following documents to be uploaded:
Your most recent passport/drivers licence to verify your identity.
A copy of your highest/most relevant qualification, as per the entry requirements for your chosen course.
You must also upload a scan / photo of one of the following documents to demonstrate your funding eligibility.
1) If you are employed: a recent payslip / most recent P60 / letter from your employer confirming this (amounts must be redacted/blacked out from financial documents).
2) If you are unemployed: a DSP payment slip / letter from DSP confirming your payment type/what you are signing for.
3) If you are a returner who has been on home or other caring duties for 9 of the last 12 months OR you are economically dependent on a partner or spouse and have been unemployed for 9 of the last 12 months you must supply a notarised affidavit confirming this (a template for this is available here: INSERT AFFADAVIT LINK )
4) If you were previously self-employed: a letter/statement from Revenue stating that you are no longer trading or a similar letter from your (former) accountant.
Applicants that do not complete this declaration cannot be assessed for a place on the programme. Places are limited on all programmes, therefore it is imperative that you complete this when making your application (or as soon as possible afterwards).
Please contact Janine King, AIT if you have any queries in relation to this - email firstname.lastname@example.org