AIR TRANSPORT MARKET ANALYSIS AND FORECASTING - 2022/3
Module code: MANM331
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice during the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
This module provides students with knowledge and skills in conducting air transport market analysis and performing traffic forecasts.
Hospitality, Tourism & Events Management
ITANI Nadine (Hosp & Tour)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: N853
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 115
Lecture Hours: 24
Seminar Hours: 11
Prerequisites / Co-requisites
Indicative content includes:
- Introduction to air traffic forecasting
- Air travel demand
- Trend analysis
- Time series analysis
- Forecasting new routes
- Market share forecasts
- Long term forecasts
- Econometric modelling
- Airline forecasting
- Airport forecasting workshop
- Evaluating forecasting results
|Assessment type||Unit of assessment||Weighting|
|Coursework||INDIVIDUAL ASSIGNMENT (4000 WORDS)||100|
The assessment strategy is aimed at giving students the opportunity to gradually build up their knowledge and understanding of air transport market analysis and forecasting and is designed to allow students to evidence their achievement of the learning outcomes. The assessment comprises an individual assignment.
Thus, the summative assessment for this module consists of:
In the first part of the individual assignment, students are examined based on critically reviewing the literature, theories and techniques related to air transport market analysis and forecasting.
In the second part of the individual assignment, students are assessed by their ability to apply the knowledge their learnt from this module to a real airline or airport case to perform the market analysis and forecasting
This report has a target word count limit of 4000 words.
Formative assessment and feedback
During the first seminar, the assignments and the feedback process is explained
Feedback is also provided during and after in-class discussions
As the seminars are built around topic-specific group exercises, students do not only benefit from lecture’s feedback but also receive peer evaluations
A pre-assignment feedback session is an integral part of this module. During this session, students work in groups on a task which reflects the report requirements and receive feedback on their work
Further, as part of the formative feedback, students are provided with good and bad practice examples and in group discussion will discuss the key components of good reports and less good reports
Once marking is completed, students are able to access a report online which contains detailed generic feedback as well as a breakdown of marks. This enables students to assess their own performance compared to their peer students
Students receive written feedback together with their returned reports. Apart from comments on the assignment, a formal sheet outlines students’ strengths, areas for improvements and suggestions on how to improve students’ performance for other assignments.
A post-assignment feedback session is designed to help students to fully understand the feedback given.
- To provide students with knowledge and skills in conducting air transport market analysis.
- To equip students with both quantitative and qualitative techniques in performing traffic forecasts including forecasting new routes.
|1||Appraise key factors affecting demand for air travel;||KCT|
|2||Collect data and select the most appropriate model to produce a traffic forecast;||KCT|
|3||Evaluate forecasting methods and interpret the results with confidence;||KCT|
|4||Appraise and critique the work of other practitioners and specialists;||CPT|
|5||Communicate effectively, in written form, the research work produced;||KPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The teaching and learning strategy is designed to provide a framework of contemporary knowledge and theories supported by examples from industry. The current issues and debates will be highlighted so that the students are able to apply critical thinking to the literature. The teaching and learning methods are based on a series of lectures and, where appropriate case studies and guest lectures.
The learning and teaching methods include:
- Lectures (2 hours x 12 sessions)
- Seminars and/or class discussion (1 hours x 11 sessions)
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MANM331
Programmes this module appears in
|Air Transport Management MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.