Course Summary
This programme services the increasing need for the application of data science methods to the Engineering and Built Environment sectors. To enable professionals to adapt to this rapidly changing context of the 4th Industrial Revolution, the programme has developed modules in machine learning, data and statistical analysis, programming and BIM ..
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
2.2 in an engineering, built environment or related level 8 programme
or
equivalent knowledge as assessed via TU Dublin's Recognition of Prior Learning processes.
Springboard course.
Application Details
Applications for courses commencing in September 2025 will open in November 2024.
Application Deadline 01/12/2023
Commencement Date: January 2025
Fees
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.
Realist
Realists are usually interested in 'things' - such as buildings, mechanics, equipment, tools, electronics etc. Their primary focus is dealing with these - as in building, fixing, operating or designing them. Involvement in these areas leads to high manual skills, or a fine aptitude for practical design - as found in the various forms of engineering.
Realists like to find practical solutions to problems using tools, technology and skilled work. Realists usually prefer to be active in their work environment, often do most of their work alone, and enjoy taking decisive action with a minimum amount of discussion and paperwork.
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.
Career Progression
Graduates can expect to work in such roles as marketing manager, digital marketing specialist, marketing analyst, social media manager, marketing technologist and many more. The work placement element of the programme provides participants with experience relevant to their interests in the field. This coupled with the Digital Portfolio will prepare graduates for finding the right opportunity to match their new skills and competencies, while empowering them to build their own career trajectory.
Duration
Mode of Study Part Time
Method of Delivery On-Campus, Online
Schedule
Runs Monday and Wednesday evenings from 18:00-21:00 with additional asynchronous directed and self-directed learning outside of these times.
Students will be expected to attend classes in Bolton Street on Wednesday evenings (18:00 - 20:00) for the Statistical Analysis for Engineers. This module is delivered through a blended format i.e. 6 classes in Bolton Street and 6 classes online. All other modules will be delivered online.
Students should plan to assign 10-14 hours per week for study (which includes the scheduled class times) during the two semesters.