6B056E - Applied Real Estate Valuation 01 Sep 2026 - 31 Jul 2032 | Version 0
Associated Module Information
| Module Code: | 6B056E | ||
|---|---|---|---|
| Module Title: | Applied Real Estate Valuation | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Built and Sustainable Environment | ||
| Faculty Sub Group: | Built Environment | ||
| Module Leader: | Bowen Yan | ||
| Module Team: | Adam Collins, Thomas Lambourne, Shane Galvin | ||
| First Intended Intake: | SEP 2026 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 6 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100218 - real estate | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Jul 2032 |
Module Aims
The main aims of the module are:
Aim 1. To introduce students to the core concepts, evidence sources and analytical processes that underpin the formation of real estate value, including comparison, measurement, valuation bases, required returns and yields.
Aim 2. To develop students’ ability to interpret, analyse and apply market data through comparison, CoStar searching, pricing evidence, and the legal foundations of estates in land as part of the valuation process.
Aim 3. To equip students with the financial, mathematical and practical skills required to apply traditional direct and indirect valuation methods, and to understand and construct discounted cash flow models for real estate appraisal.
Content Summary
This module introduces students to the core principles, evidence, and analytical techniques that underpin real estate valuation. It begins by developing an understanding of how market data, comparison, measurement and valuation bases inform the assessment of property value, before exploring how pricing, required returns and yields shape investment decision-making. Students examine the valuation process in detail, including the role of comparable evidence, CoStar data sourcing and the legal foundations of estates on land.
Building on this foundation, the module introduces the five traditional valuation methods, covering both direct and indirect approaches, and then progresses to contemporary discounted cash flow (DCF) techniques. Students learn how discount rates, growth, depreciation, lease events, and exit values interact within investment models. Through practical workshops and applied exercises, the module equips students with the numerical, analytical, and professional skills needed to interpret market evidence and apply valuation methods confidently in real estate practice.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Practical classes and workshops | 24 |
| Groupwork | 12 |
| Seminar | 12 |
| Active/Simulation based | 6 |
| Formative Assessment - Scheduled | 2 |
| Formative Assessment - Independent | 16 |
| Summative Assessment | 60 |
| Direct Study | 24 |
| Independent Study | 144 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Explain how property characteristics, comparable evidence, valuation bases, required returns, yields and estates in land contribute to the formation of real estate value, and interpret how these factors inform the valuation process. |
| LO2 | Apply financial and mathematical principles to implement traditional direct and indirect valuation methods and construct discounted cash flow models, explaining how cash flows, discount rates, growth, depreciation and lease events affect real estate investment appraisal. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Synchronous Onsite Practical Assessment | Simulation (Onsite) | Individual Asynchronous | 120 | N/A | 40 | No | 40 |
| Asynchronous Assessment | Report | Individual | 0 | 3000 | 60 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Simulation (Onsite) | ✔ | ✔ | |
| Report | ✔ | ✔ | |