Program Overview

Introduction to the BSc (Hons) in Urban Informatics and Smart Cities

The BSc (Hons) in Urban Informatics and Smart Cities programme is designed to address the challenges of global cities related to rapid urbanisation. The main objective of this programme is to educate students on the principles and theories of urban science and equip them with practical skills in urban analytics.

Programme Overview

The programme enables students to leverage emerging urban big data technologies and values to better understand and serve smart cities. Upon completion, students will be able to:

• Apply appropriate mathematical and computing skills to solve problems and analyse data
• Comprehend and apply the concepts and theories of geomatics and smart cities
• Understand geomatics and smart city technologies and apply them appropriately
• Integrate various geomatics and smart city technologies to solve problems in a professional, timely, and cost-effective manner
• Carry out and manage geomatics and smart city projects
• Work with and supervise others in accordance with and in compliance with societys legal, ethical, and professional standards
• Respond to advances in geomatics and related technologies as part of their lifelong learning

Programme Details

Programme Code and Mode of Study

The programme code is JS3130, and the mode of study is full-time.

Normal Duration and Programme Intake

The normal duration of the programme is 4 years, with a combined intake of 327 students for programmes JS3004, JS3211, JS3791, JS3789, JS3214, JS3739, JS3375, and JS3130.

Fund Type and Credits Required for Graduation

The programme is government-funded, and students are required to complete 120 credits (plus 1 credit for industrial safety training and non-credit bearing summer training) to graduate.

Programme Leadership

The programme leader for the BSc (Hons) in Urban Informatics and Smart Cities is Prof. ZHUGE Cheng-xiang, Tony, PhD. The deputy programme leader is Prof. YIN Tiangang, BSc, MEng, PhD.

Aims and Characteristics

The aims of the programme are based on the philosophy that graduates must be able to cope with rapidly changing market conditions and demands of their future professions in urban informatics and smart cities. The programme maintains close links with professional bodies and invites industry experts to give guest lectures to students.

Secondary Major in AI and Data Analytics

A secondary major in AI and Data Analytics (AIDA) is available to students, which is competitive and subject to different credit requirements for graduation.

Admission and Graduation

Students will be awarded one of the following degrees upon successful completion of the graduation requirements:

• BSc (Hons) in Land Surveying and Geo-Informatics
• BSc (Hons) in Urban Informatics and Smart Cities

Students are subject to further assessment criteria, such as students choice, GPA, and interview performance, for their selection of degrees/majors at the end of Year One.