Course Summary
This module is aimed at manufacturing and process engineers, and other relevant industry professionals who work with large amounts of data on a regular basis.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
Applicants must possess a primary honours degree or equivalent.
Recognition of Prior Experiential Learning (RPL) will be granted based on relevant experience and training in accordance with LIT's RPL policy.
This is a level 09 Msc. Special Purpose Award. It is expected that candidates would have prior experience working with technology and have a working knowledge of relevant data software.
Application Details
Application Deadline: TBC
Register Your Interest: https://lit.ie/Register-Your-Interest?coursecode=LC_ADTVP_RCS
Start date: 10/10/2023
Location: Online
Fees
Register Your Interest: https://lit.ie/Register-Your-Interest?coursecode=LC_ADTVP_RCS
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Creative
Creative people are drawn to careers and activities that enable them to take responsibility for the design, layout or sensory impact of something (visual, auditory etc). They may be atrracted to the traditional artistic pursuits such as painting, sculpture, singing, or music. Or they may show more interest in design activities, such as architecture, animation, or craft areas, such as pottery and ceramics.
Creative people use their personal understanding of people and the world they live in to guide their work. Creative people like to work in unstructured workplaces, enjoy taking risks and prefer a minimum of routine.
Career Progression
Duration
Delivery
This course is a mix of talks, workshops on the contemporary approaches to data visualisation. Participants will learn to create their own data and understand key theories in the interpretation of data visualisation.
Each session will be delivered online on 10.00am – 1.00pm
Teaching Sessions (Weeks One – Four) The teaching sessions will be online webinars and include a combination of talks along with discussions and workshops. The talks will be available online for those who wish to view them later or can’t make the session. However, we would encourage all participants to engage online with the Thursday morning sessions as there will be an opportunity to ask questions and set aside that time in the week for the course.
Project Sessions (Weeks Five – Eight) These are weekly project tutorial sessions are 15 mins conducted via Zoom or MS Teams with each participant.
Presentation Session (Week Nine) Each participant will be given 15 mins to present their project via Zoom or MS Teams
Time Commitment
Each 5 credits will normally equate to approximately 100 Total Learning Hours. Total Learning Hours includes the time you spend in class (lectures, tutorials, practical elements) and the time you spend completing work outside of college. The balance between these two varies by discipline, and by level of study. You should bear in mind that the workload will increase at particular times e.g. when assignments are due.