Group presentation to panel

1 - Oral assessment and presentation - 50

Exam

2 - Written exam - 50

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The module covers a range of analytical and financial principles, and their application to key issues in real estate investment research, developed through hands-on models. The issues covered are flexible to take in topical themes in the industry but are closely linked to investment decision making. Illustrative topics include constructing hurdle rates, assessing quantitative and judgemental forecasts in real estate, fair pricing, risk adjusted metrics, tokenisation, waterfall structures in real estate and impact investing. The module also provides training to ARGUS (valuation software) and Python.

Feedback is provided in a number of ways throughout your module. This includes feedback you receive during teaching from both peers and lecturers and that provided for formative assessment. Following an assessment, you will be given your marks and feedback in line with the assessment regulations and policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. <a href='https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations'>https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations</a>

This module will support the development of all the graduate attributes. Your module leader will provide you with information about how your learning, teaching and assessment activities support your development of these attributes. The graduate attributes are: - Always learning - Engaged in the world - Technical and digital - Connected Professional - Creating Impact

Directed Asynchronous - 

In-Person - 

Self-directed - 

Applied Quantitative Analysis for Real Estate

Real Estate Modelling and Forecasting

Real Estate Investment

SMM684 - Strategy & Innovation: Financial Analytics, AI and Social Impact 

SMM684-PRD2-PER-ALV1

You will engage in a blended learning approach, combining traditional lectures to provide theoretical foundations with hands-on computing workshops to develop practical skills.

Contact hours are designed to be flexible and are delivered using a variety of methods to help you learn in the most effective way. A proportion of the core content may be delivered online and additional support materials and content will also be made available through Moodle.

Strategy & Innovation: Financial Analytics, AI and Social Impact 

Knowledge

Critically assess industry views and financial projections. 

Skills

Advise on the broader real estate investment environment  

Apply a range of methods to study practical problems.  

Expertise in advanced financial techniques to tackle complex and highly practical issues in the real estate investment field.  

Values and attitudes

Reflect on the use of applied financial analysis.

Demonstrate effective use of financial techniques in spreadsheets.  

Produce presentations and reports to a professional standard. 

Work independently from data collection to problem solving and interpretations. 

Apply financial and statistical techniques required in real estate investment. 

Use of advanced financial analysis methods.  

Improve skills in data acquisition, handling and analysis through statistical software and spreadsheets. 