Master of Science in Smart Sustainable Infrastructure

Overview

The Master of Science in Smart Sustainable Infrastructure (MSSI) is a postgraduate programme designed to provide substantial knowledge and advanced skills to graduates and professionals from engineering, science, technology, and related disciplines. The programme offers professionals opportunities to update, enhance, and expand their knowledge and competencies in sustainable infrastructure while integrating Artificial Intelligence into relevant aspects of infrastructure planning, design, management, and decision-making.

The programme is application and industry-driven, enabling participants to add value directly to their organisations and the industry by integrating sustainable infrastructure principles, emerging technologies, and AI-driven approaches. It draws on contributions from experienced academics, industry practitioners, and professional experts, providing participants with practical insights and exposure to current practices and challenges in sustainable infrastructure.

The programme comprises 43 credits, including 11 taught courses (33 credits) and a Master Project (10 credits). It is designed to accommodate both working professionals and full-time students, with a minimum study duration of 1½ years for full-time study and 2 years for part-time study.

With its AI-infused and multidisciplinary curriculum, MSSI prepares graduates to contribute effectively to the transformation of infrastructure towards a smarter, more sustainable, resilient, and digitally enabled future. Graduates are well positioned for career advancement in engineering, infrastructure management, sustainability, consultancy, digital transformation, research and innovation, and leadership roles across relevant industries and organisations

Programme Educational Objectives

This programme aims at providing rooms for knowledge advancement to graduate and professional of Bachelor of Engineering, Technology or Science backgrounds, be it those with vast working experience or those who recently graduated. This programme is specifically designed to ensure that the graduate is kept up-to-date with the current development of sustainable infrastructure in enhancing knowledge and skills in their career.  The objectives of this programme include producing graduates who are able to:

Leading the field of smart sustainable infrastructure based on knowledge, innovation and the capability to continuously integrate relevant artificial intelligence (AI).
Communicate effectively and demonstrate professional leadership in organizations while committing to the development of smart sustainable infrastructure that benefits society.
Practice professional ethics in carrying out responsibilities, demonstrate sensitivity to societal and environmental needs, and adapt to global changes and technological advancements in the field of smart sustainable infrastructure.
Learning Outcomes

At the end of the programmed students are able to:

Integrate in-depth relevant knowledge of professional practices and artificial intelligence (AI) capabilities for the benefit of related smart sustainable infrastructure disciplines. (Knowledge & Understanding)
Critically analyze problems related to smart sustainable infrastructure using appropriate techniques, skills, and AI technologies. (Cognitive Skills)
Apply comprehensive practical knowledge and skills and perform scientific research in smart sustainable infrastructure, including AI applications. (Practical skills)
Collaborate and connect with various parties in the learning and work community in an ethical and professional manner using digital technologies, AI applications, and various information and media tools. (Interpersonal Skills)
Communicate effectively in oral and written forms within scientific, industrial, and general communities, including conveying technical information related to AI and smart sustainable infrastructure. (Communication Skills)
Adapt applications, systems, and AI technologies to address problems using various appropriate digital technologies and software in smart sustainable infrastructure. (Digital Skills)
Solve problems by applying quantitative and qualitative methods, as well as mathematical and AI-driven data analytics techniques in smart sustainable infrastructure. (Numeracy Skills)
Demonstrate professional leadership in solving smart sustainable infrastructure challenges by leveraging AI technologies and innovative approaches in various situations. (Leadership, Autonomy & Responsibility)
Adapt contemporary knowledge and AI technologies in smart sustainable infrastructure for effective and data-driven information management. (Personal Skills)
Analyze and identify entrepreneurial opportunities in smart sustainable infrastructure development by applying digital innovations and AI technologies. (Entrepreneurial Skills)
Practice professional ethics in smart sustainable infrastructure work while ensuring compliance with environmental and societal needs in the AI-driven era. (Ethics & Professional Skills)

Detailed requirements of Master of Science (Sustainable Infrastructure) programme.

Entry Requirements

The normal requirement for admission to the programme is a four-year bachelor degree recognized by the university in either engineering or sciences.

Graduates of the Master of Science in Smart Sustainable Infrastructure (MSSI) are equipped to pursue professional and leadership careers in the rapidly evolving smart, sustainable and AI-enabled infrastructure sector.

Smart & Sustainable Infrastructure • Infrastructure Asset Management • Digital Engineering & BIM • Smart City & Urban Infrastructure • AI & Data Analytics for Infrastructure • Intelligent Asset Management • Intelligent Transportation • Water & Environmental Infrastructure • Project & Facility Management • Research & Innovation

Future-ready expertise for smarter, greener and more resilient infrastructure.

Programmes Fees

The mainstream programme fees for a bachelor’s degree in engineering or sciences offered by the university.

Quick Facts!

Industry-Focused
AI-Infused
Package 1 : 1.5 Years
Package 2 : 2 Years
Credit Hours : 46

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