1. PROP103 - Property Analytics
Develops abilities in sourcing and analysing relevant property data to inform investment and development decisions. Applies the use of a geographic information system (GIS) and cashflow model to a practical, small-scale residential project.
This course introduces students to the decision-making framework for property investment. By the end of this course, students will be able to source, evaluate and present property-specific data using various platforms in order to make informed investments. Concepts and techniques introduced in the course will be supplemented with hands-on workshops guiding students through application of investment and development decisions for a real-world residential project. Students will develop skills in property data analysis using geographic information systems (GIS), cash flow modelling, forecasting and data visualisation. At the conclusion of the course, students will be introduced to recent innovations in property technology (PropTech), the role of technology in decision making and entrepreneurial opportunities in the property sector.
By the end of this course, students will be able to:
1. Develop an understanding of cash flow model capable of informing property investment decision
2. Learn and use GIS to solve property-specific problems
3. Research, analyse and communicate investment decision for a residential property
4. Understand basic techniques of forecasting property incomes and values
5. Become familiar with recent developments in property technology (PropTech)
6. Gain awareness of data relevant for property investment
This course introduces students to the decision-making framework for property investment. By the end of this course, students will be able to source, evaluate and present property-specific data using various platforms in order to make informed investments. Concepts and techniques introduced in the course will be supplemented with hands-on workshops guiding students through application of investment and development decisions for a real-world residential project. Students will develop skills in property data analysis using geographic information systems (GIS), cash flow modelling, forecasting and data visualisation. At the conclusion of the course, students will be introduced to recent innovations in property technology (PropTech), the role of technology in decision making and entrepreneurial opportunities in the property sector.
By the end of this course, students will be able to:
1. Develop an understanding of cash flow model capable of informing property investment decision
2. Learn and use GIS to solve property-specific problems
3. Research, analyse and communicate investment decision for a residential property
4. Understand basic techniques of forecasting property incomes and values
5. Become familiar with recent developments in property technology (PropTech)
6. Gain awareness of data relevant for property investment
2. PROP384 - Property Technology and Analytics
Develops capabilities in applying analytical tools and technologies to the analysis of issues to enhance understanding of property markets and support effective decision-making.
The world is changing fast, PropTech and data analytics are shaping the future of property markets. The first portion of this course will provide learners with some tools to apply proptech-enabled solutions to solve property markets problems, such as ARGUS Financial Analysis, Geographic Information System (GIS), Machine Learning and Simulations. The second portion will guide learners to a practical understanding of digital innovation and entrepreneurship.
By the end of this course, students will be able to:
The world is changing fast, PropTech and data analytics are shaping the future of property markets. The first portion of this course will provide learners with some tools to apply proptech-enabled solutions to solve property markets problems, such as ARGUS Financial Analysis, Geographic Information System (GIS), Machine Learning and Simulations. The second portion will guide learners to a practical understanding of digital innovation and entrepreneurship.
By the end of this course, students will be able to:
- Critically apply spatial data analytics, machine learning and simulations in property markets problems
- Understand and explore the relationship between digital innovation and entrepreneurship
- Critically evaluate the relationship between digital innovation, sharing economy and property markets
- Understand and critically explore proptech-enabled solutions to solve problems