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Digital Construction Analytics & BIM

Postgraduate
115385

The key special feature of this course refers to its structure as an integrated Digital Construction and Data Science course, enabling you to obtain advanced knowledge and analysis skills.

Award Name Degree - Masters at UK Level 7
NFQ Classification
Awarding Body Ulster University
NFQ Level
Award Name Postgraduate Diploma at UK Level 7
NFQ Classification
Awarding Body Ulster University
NFQ Level
Award Name Postgraduate Certificate at UK Level 7
NFQ Classification
Awarding Body Ulster University
NFQ Level
Award Name NFQ Classification Awarding Body NFQ Level
Degree - Masters at UK Level 7 Ulster University
Postgraduate Diploma at UK Level 7 Ulster University
Postgraduate Certificate at UK Level 7 Ulster University
Course Provider:
Location:
Belfast
Attendance Options:
Full time, Part time, Daytime
Qualification Letters:
MSc with Applied Research/MSc/PGDip/PGCert
Apply to:
Course provider

Entry Requirements

Standard entry conditions
To apply to our postgraduate taught programmes, you must meet the University’s General Entrance Requirements and any course-specific requirements.

Entry Requirements
Minimum 2:2 Honours degree (or equivalent) in Architecture, Engineering, Construction or other Built Environment related subject. Previous computer programming skills are not essential requirement. Applicants from other relevant backgrounds (e.g. Data Science and Computer Game) can be considered. Applicants must also provide evidence of English Qualification to the level that meets the University requirements.

Careers / Further progression

Career options
The area of Digital Construction and BIM is expanding in the market and new posts have been created recently in the industry (e.g. BIM manager, Information manager) which need special skills that the course will help learners to develop. These special skills become also essential for career progression. In addition to the construction related knowledge and skills obtained by studying this course, the Data Science knowledge and skills will reinforce the graduates’ abilities and capabilities; hence support their employability in relation to Information Management roles that become more mainstream in the industry. The course offers a unique opportunity for all Built Environment related graduates to study at Masters level and to develop skills applicable to their employment locally or internationally. The course strategy is designed to provide a balance between theory and practice with hands-on approach on solving real industry problems in collaboration with industry partners. This strategy will provide graduates with key critical thinking and analysis skills that are transferrable and applicable across a wide range of industry sectors. Graduates will be also equipped with the essential skills to pursue a PhD route on graduation if they wish to.

Course Web Page

Further information

Start Date: September 2024

Your Application
Application is through the University's online application system (see "Application Weblink").

The area of Digital Construction and Building Information Modelling (BIM) is expanding in the construction industry, and new roles have been created recently which need special skills. The key special feature of this course refers to its structure as an integrated Digital Construction and Data Science course, enabling you to obtain advanced knowledge and analysis skills. Additionally, you will learn to apply and manage the technologies and the new business practices in the field of built environment for effective and data-driven decision making, especially from a sustainability perspective.

Students will develop skills in several areas including:
• Building Information Modelling
• Digital Construction
• Data Science Foundations
• Business Intelligence
• Machine Learning and Data Modelling
• Research analysis and data interpretation techniques

The course is ideal for graduates of any Built Environment related subject.

For further course details please see "Course Web Page".

Year one
• Digital Construction: Technology, Strategy & Management
• Building Information Modelling
• Industry Project
• Business Intelligence and Analytics
• Data Validation and Visualisation
• Data Science Foundations

Optional Modules
• Research Design and Dissertation
• Research Methods and Project

Year two
Optional Module
• Applied Research (Digital Construction)

Contacts
Support with admissions and entry requirements UK, ROI & EU admissions@ulster.ac.uk

Support with admissions and entry requirements International (excluding EU) global@ulster.ac.uk

Support with course information Professor
Ibrahim Motawa
+44 (0)28 9536 7614
i.motawa@ulster.ac.uk

Course Provider:
Location:
Belfast
Attendance Options:
Full time, Part time, Daytime
Qualification Letters:
MSc with Applied Research/MSc/PGDip/PGCert
Apply to:
Course provider