Postgraduate Certificate in Digital Construction Analytics / Engineering Analytics (PgCert DCA/EA 2022)

TU Dublin (TU058)
Key Programme Details
Award

Postgraduate Certificate in Engineering Analytics / Postgraduate Certificate in Digital Construction Analytics

NFQ Level

Level 9 About NFQ

Delivery Method

Blended

Mode

Part Time

ECTS Credits

30

Department

School of Multidisciplinary Technologies

General Information
Contact

Barry McAuley / Jane Cullen

Email

barry.mcauley@tudublin.ie

Phone

01-402 4014

Address

School of Multidisiplinary Technologies
Bolton Street

Role

Programme Manager / School Administrator

Important Dates
Application Deadline

03/12/2021

Start Date

24/01/2022

End Date

27/01/2023

About this Course

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, they need to understand and embrace the power of analytics and machine learning techniques to interpret, learn from, enrich, predict, and enhance how we design, construct, operate, maintain, and continuously improve our built and natural environments, and the systems, machines and equipment operating in them. This programme will provide professionals from the Engineering and Construction domains with the skills to maximise the value of their data by analysing & interpreting this information to improve outcomes for industry, society, and individuals. While the overall outcomes for each graduate from the programme will depend on the elective modules selected, successful completion of the Core Analytics Module Stack will ensure that a graduate will be able to:
Critically appraise the capabilities, appropriate usage, and implementation of a wide range of advanced analytics methods in engineering or built environment contexts.
Select appropriate advanced analytics methods for engineering or built environment data sets and present insights to a variety of stakeholders to support decision-making.

Significant societal problems, such as addressing the shortage of adequate housing in Ireland and improving infrastructure worldwide, will only be successfully addressed by applying analytics techniques with advanced critical thinking by knowledgeable professionals. This level 9 programme specifically targets the retention and career progression of staff through the development of new and valuable skills in the area of analytics, specifically for engineering and built environment, and with a particular focus on retaining and building a diverse workforce. The delivery mode of most of the programme enables flexibility through blended delivery, using asynchronous delivery and Open Educational Resources, with value-added face-to-face workshops and high intensity.

Objectives

While the overall outcomes for each graduate from the programme will depend on the elective modules selected, successful completion of the Core Analytics Module Stack will ensure that a graduate will be able to:
o Critically appraise the capabilities and appropriate usage of a wide range of advanced analytics methods in engineering or built environment contexts;
o Critically evaluate the implementation of advanced analytics methods in engineering or built environment contexts;
o Select appropriate advanced analytics methods for engineering or built environment data sets and present insights to a variety of stakeholders to support decision-making.

Entry Requirements

2.2 in an engineering, built environment or related level 8 programme
or
equivalent knowledge as assessed via TU Dublin's (DIT's) Recognition of Prior Learning processes.

Long Description

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, they need to understand and embrace the power of analytics and machine learning techniques to interpret, learn from, enrich, predict, and enhance how we design, construct, operate, maintain, and continuously improve our built and natural environments, and the systems, machines and equipment operating in them. This programme will provide professionals from the Engineering and Construction domains with the skills to maximise the value of their data by analysing & interpreting this information to improve outcomes for industry, society, and individuals. While the overall outcomes for each graduate from the programme will depend on the elective modules selected, successful completion of the Core Analytics Module Stack will ensure that a graduate will be able to:
Critically appraise the capabilities, appropriate usage, and implementation of a wide range of advanced analytics methods in engineering or built environment contexts.
Select appropriate advanced analytics methods for engineering or built environment data sets and present insights to a variety of stakeholders to support decision-making.

Significant societal problems, such as addressing the shortage of adequate housing in Ireland and improving infrastructure worldwide, will only be successfully addressed by applying analyticstechniques with advanced critical thinking by knowledgeable professionals. This level 9 programme specifically targets the retention and career progression of staff through the development of new and valuable skills in the area of analytics, specifically for engineering and built environment, and with a particular focus on retaining and building a diverse workforce. The delivery mode of most of the programme enables flexibility through blended delivery, using asynchronous delivery and Open Educational Resources, with value-added face-to-face workshops and high intensity.

Why Choose This Course

The Engineering & Digital Construction sector reports current and potential disruption being caused to the engineering and built environment sectors as a result of new technologies and associated trends. This is resulting in the creation of new roles that require both data science skills and professional, discipline-specific expertise. This includes such areas as decision-making in relation to the provision of finance for construction projects being increasingly evidence-based and requiring specialist knowledge of analytics, finance, and the construction sector.

The MSc, Postgraduate Diploma, and Postgraduate Certificate in Engineering Analytics / Digital Construction Analytics aims to enable those working in the engineering, built environment and construction sectors to advance their careers by gaining new skills in the challenging and rewarding area of Analytics by providing practitioners from a range of engineering and construction backgrounds with the skills and knowledge necessary for development of their careers while strongly contributing to their employers, to their sector, and to society.

This unique programme offers learners the opportunity to customise their learning journey around a Core Analytics Module Stack which can be supplemented with modules from across TU Dublin's level 9 portfolio. The programme is designed for blended and flexible delivery to support the needs of industry-active professionals and to enable the achievement of personal and employer-related goals.

Career Opportunities

Please click on the link below to see information on career opportunities.

https://sites.google.com/dit.ie/digitalconstengineeranalytics/potential-graduate-destinations

Timetable Info

Content will mostly be delivered asynchronously (i.e. no requirement for simultaneous online access for lecturers and students) with synchronous delivery varying between evenings and mid-mornings by majority agreement with the class group.

Delivery Location

Online and on the Bolton Street campus

Delivery Notes

Blended

Students will be required to own or have access to a laptop capable of running the software required for their chosen set of modules. Students who also take BIM-related modules will need equipment meeting current Autodesk standard specifications (Value spec: https://knowledge.autodesk.com/support/revit-products/learn-explore/caas/sfdcarticles/sfdcarticles/System-requirements-for-Autodesk-Revit-2021-products.html).

RPL Information

RPL information is available at: https://tudublin.ie/study/part-time/how-to-apply/recognition-of-prior-learning/

Application Procedures

Non-native English speakers will be required to produce evidence of their English capabilities according to TU Dublin's English Language Requirements policies: http://www.dit.ie/studyatdit/undergraduate/entryrequirements/englishlanguagerequirements/

In exceptional cases, English language assessments may be possible.

All applications must be made via this springboardcourses.ie website

All accompanying documentation must be submitted at the time of application. Failure to supply all required materials will disqualify candidates from consideration.

Please read all requirements carefully.

Media
Postgraduate Certificate in Digital Construction Analytics / Engineering Analytics

Programme handbook contain full information about the programme, its structure, options, outcomes, resources & facilities. The link is to the current 2021 version but will be updated shortly for the cohort commencing in January 2022

https://sites.google.com/dit.ie/digitalconstengineeranalytics