Postgraduate Course: Research Methods in Energy (CMSE11325)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 15 |
ECTS Credits | 7.5 |
| Summary | This course aims to turn out students who are able to approach dissertations with all the necessary research methods training to address most energy finance issues as well as work in any organisation and have the skills and knowledge on the key areas to research and evaluate energy finance questions. |
| Course description |
This course has been created specifically for the MSc Energy Finance and Markets programme, reflecting the cross-disciplinary nature of the programme. Application of financial analysis to energy markets requires an understanding of statistics/econometrics as well as an understanding of the nature of energy commodity trading and investments. In addition to special focus on energy fundamentals forecasting, this course will provide students with applications and motivations for model building in modern finance as a whole. The course lectures will also be backed up by practical workshops/seminars with an econometrics software package; hence the material should be accessible for students with varied backgrounds. The skills developed on this course are transferrable and also very useful for student dissertations and further academic study.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2016/17, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
150
(
Lecture Hours 22,
Seminar/Tutorial Hours 6,
Summative Assessment Hours 32,
Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
87 )
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| Additional Information (Learning and Teaching) |
Pre-lecture preparations and studying for the Exam
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| Assessment (Further Info) |
Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Written Examination 70%
Coursework 30% |
| Feedback |
Summative marks will be returned on a published timetable, which has been made clear to students at the start of the academic year.
Feedback will comprise students interpreting concepts during lab sessions, coursework assessment Feedback and generic examination Feedback. |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Research Methods in Energy (CMSE11325) | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Define relevant research questions
- Identify, evaluate, select, justify and apply appropriate research methods to their chosen area of research, in order to ensure that the evidence generated, its analysis and the conclusions drawn from it are valid and reliable;
- Identify and critically evaluate literature in energy finance and economics and Present the findings of research in an academic manner;
- Define, illustrate and apply the major tools used by financial economists (correlation, regression and time series analysis) and link statistical and econometrics theory with empirical applications;
- Conduct empirical analysis with econometrics software packages such as EViews and apply common energy commodity pricing forecast techniques.
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Reading List
Brooks, C. (2008) Introductory Econometrics for Finance, Cambridge University Press: Cambridge
Cortinhas, C. and Black, K. (2012) Statistics for Business and Economics, John Wiley & Sons Ltd: Chichester |
Additional Information
| Graduate Attributes and Skills |
- Demonstration of advanced numeracy and quantitative skills;
- Demonstration of authoritative and advanced econometric software modelling skills;
- Demonstration of the ability to develop and test research questions/hypotheses within finance either as part of a group or individually;
- Engaging with new ideas and be able to detect false logic by leveraging available resources
- Effectively managing time and workload demands within a dynamic and challenging work environment |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Gbenga Ibikunle
Tel: (0131 6)51 5186
Email: Gbenga.Ibikunle@ed.ac.uk |
Course secretary | Miss Ashley Harper
Tel: (0131 6)51 5671
Email: Ashley.Harper@ed.ac.uk |
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