MSc Engineering Analytics / Digital Construction Analytics

at TU Dublin

Core Analytics Module Stack - Stage 1

• Introduction to Analytics for Engineering & Built Environment
• Advanced Data Analytics for Engineering & Built Environment
• Machine Learning for Engineering & Built Environment

Other Core Modules - Stage 3

• Research Methods
• Capstone Experience with Agile Project Management (Minor) or Capstone Experience with Agile Project Management (Major)

 
Elective Modules - Selection - Stages 1 or 2 depending on availability

• Cloud Computing for Engineering & Built Environment
• Data Analysis using Matlab
• Hetrogeneous Computing Architectures
• Introduction to Programming
• Internet of Things Analytics for Smart Cities and Cognitive Buildings 
• Meshless Simulation Methods and Applications
• Software Production
• Statistical Analysis for Engineers
• Virtual & Augmented Reality Applications for Engineering & Built Environment
• Work-Based Learning & Applied Research
   

An "applied" stream of the programme is also available where students undertake 35 credits of taught modules plus 55 credits of a major Capstone Experience. This stream enables students to focus intensively upon the solution of an industry-based problem or problems while also developing significant research capability, potentially preparing candidates for transfer to level 10 PhD studies.

An NFQ level 8 Bachelor Degree with 2.2 award or equivalent, or a level 7 ordinary degree plus 5 years relevant experience. Applicants may be required to attend interview or to produce an ePortfolio of relevant evidence. Applicants are required to produce evidence of the minimum English language proficiency requirement for overseas applicants i.e. a minimum score of 6.0 in IELTS or equivalent.

Fees for International students - £13,500