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Ulster University: Digital Construction Analytics and BIM
| Institution | Ulster University |
|---|---|
| Department | Belfast Campus |
| Web | https://www.ulster.ac.uk |
| Study type | Taught |
MSc
Summary
This MSc in Digital Construction is the perfect course if you are passionate about discovering how the advanced digital technologies and BIM have transformed AEC industry, and understanding how Data Analytics can improve the management of construction projects.
This stimulating course will develop your research and analytical skills, and provide you with advanced learning in digital transformation modelling and practices. You will explore Digital Construction Technologies, Management, Strategies; Building Information Modelling; and the fundamentals of Data Analytics.
Unlike other similar courses in the field, the key features of our course can be described by: the inclusion of Data Analytics modules; the strong link with industry to help you engage with project environments in order to provide digital solutions for real industry problems; and you will be also taught by published academics who will enhance your learning experience with research-led teaching. This MSc course provides an excellent foundation for further study, as well as a gateway to a wide range of employment opportunities.
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Belfast York Street Belfast BT15 1ED |
Master of Science - MSc (PG)
Summary
The area of Digital Construction and Building Information Modelling (BIM) is expanding in the construction industry, and new roles have been created recently (e.g. BIM manager, Information manager) which need special skills that this course will help learners to develop. 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 offers a unique opportunity for all Built Environment-related graduates to study at Masters level and to develop skills relevant to their employment locally and/or internationally.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | At least 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. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
The area of Digital Construction and Building Information Modelling (BIM) is expanding in the construction industry, and new roles have been created recently (e.g. BIM manager, Information manager) which need special skills that this course will help learners to develop. 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 offers a unique opportunity for all Built Environment-related graduates to study at Masters level and to develop skills relevant to their employment locally and/or internationally.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | At least 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. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
The area of Digital Construction and Building Information Modelling (BIM) is expanding in the construction industry, and new roles have been created recently (e.g. BIM manager, Information manager) which need special skills that this course will help learners to develop. 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 offers a unique opportunity for all Built Environment-related graduates to study at Masters level and to develop skills relevant to their employment locally and/or internationally.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | At least 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. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
The area of Digital Construction and Building Information Modelling (BIM) is expanding in the construction industry, and new roles have been created recently (e.g. BIM manager, Information manager) which need special skills that this course will help learners to develop. 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 offers a unique opportunity for all Built Environment-related graduates to study at Masters level and to develop skills relevant to their employment locally and/or internationally.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | At least 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. |
| Location | Belfast York Street Belfast BT15 1ED |
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