Digital Construction Analytics and BIM MSc

Program Overview

The MSc in Digital Construction Analytics and BIM at Ulster University equips students with advanced knowledge of digital construction technologies, BIM, and data analytics. This program combines expertise from the Belfast School of Architecture & Built Environment and the School of Computing, Engineering & Intelligent Systems, offering a comprehensive curriculum that addresses the needs of construction professionals in the digital age. Graduates are prepared for careers as BIM Managers, Information Managers, Data Analysts, Construction Project Managers, and Research Scientists.

Program Outline

Objectives:

• Equip students with the knowledge and skills to utilize digital technologies and BIM in the AEC industry.
• Enhance students' understanding of the digital construction environment.
• Develop students' research and analytical skills in data analytics.
• Foster graduates capable of tackling the complex challenges facing the AEC industry.

Program Description:

This unique program combines expertise from the Belfast School of Architecture & Built Environment and the School of Computing, Engineering & Intelligent Systems, offering a comprehensive curriculum addressing the needs of construction professionals in the digital age.

Outline:

Program Content:

• Digital Construction Technologies and Strategies
• Research Methods and Dissertation
• Industry Project

Program Structure:

• Full-time, one-year program
• Three semesters, with three modules in each semester
• Combination of class-based, computer-lab, and group work sessions
• Approximately 36 hours of self-directed study per week in addition to 9 hours of staff contact time

Course Schedule:

• Semester 1:
• Digital Construction: Technology, Strategy & Management
• Industry Project
• Semester 2:
• Business Intelligence and Analytics
• Data Validation and Visualisation
• Data Science Foundations
• Research Design and Dissertation (optional)
• Research Methods and Project (optional)
• Semester 3:
• Applied Research (Digital Construction) (optional)

Module Descriptions:

• Digital Construction: Technology, Strategy & Management: Explores digital construction concepts, technologies, BIM, and data analytics in the context of addressing AEC industry challenges.
• Building Information Modelling: In-depth study of BIM concepts, processes, protocols, enabling technologies, strengths, weaknesses, opportunities, and threats associated with its adoption in AEC projects.
• Industry Project: Collaborative project with industry partners to develop solutions for real-world construction problems using digital tools and processes.
• Business Intelligence and Analytics: Explores the role of business intelligence and analytics in turning data into valuable information, including ethical considerations and consent issues.
• Data Science Foundations: Introduces key data science concepts, tools, programming techniques, and statistical approaches for data analysis.
• Research Design and Dissertation: Independent research project on a chosen topic related to Digital Construction in the AEC industry.
• Research Methods and Project: Provides a broad understanding of research methods and techniques applicable to any research context.
• Applied Research (Digital Construction): Optional module focusing on an in-depth research project in the field of Digital Construction.

Assessment:

• Coursework (e.g., essays, reports, presentations, simulations)
• Class tests
• Project-based assessments
• Industry project presentations
• Research dissertation (if applicable)

Assessment Criteria:

• Clear identification of marking criteria for each assessment
• Emphasis on demonstrating knowledge and understanding of course concepts
• Encouraging interaction with peers and the course team
• Timely feedback provided on all assessments

Teaching:

• Lectures
• Computer-lab sessions
• Group work
• Industry professionals' guest lectures
• Project-driven and inquiry-based learning approaches
• Hands-on experience with contemporary research projects
• Collaborative learning environment
• Digital Learning tools and platforms

Faculty:

• Published academics and experts in Digital Construction, BIM, and Data Analytics
• Industry professionals with real-world experience
• Dedicated to providing research-led teaching and offering personalized support

Careers:

Career Options:

• BIM Manager
• Data Analyst
• Construction Project Manager
• Research Scientist
• Academic positions

Employability Skills:

• Advanced knowledge of digital construction technologies and BIM
• Strong data analytics skills
• Critical thinking and problem-solving abilities
• Communication and collaboration skills
• Project management experience
• Research skills

Other:

• Program aligns with the UN Sustainable Development Goals.
• Strong industry links and collaboration.
• Emphasis on equipping students with the theoretical and practical knowledge needed to put learning into practice.
• Diverse student body from around the world.
• Opportunities for further study or employment in the global AEC industry.