These pages provide a brief introduction to your course, along with some recommended pre-reading. This pre-reading is intended to help you become familiar with topics of which make up the foundation of your course.
Your induction timetable will be shared in July/August, and your stream allocation will be confirmed on your Moodle pages closer to the start of the course.
The induction is a two-week period designed to help you get to know your fellow students, the Careers team, and academic faculty. It also includes the completion of the final stages of the student registration process.
During the induction, you will attend a number of course-related classes and take part in a variety of careers events including the Bayes MSc Careers Fair that typically has over 60 companies in attendance. These will be detailed in both your induction timetable and the careers event schedule
We look forward to welcoming you all in September.
Questions?
If you have any questions about the student experience at Bayes, who better to ask than one of our current MSc students? Our helpful Online Student Ambassadors will be happy to answer your queries.
Timetables
You should use the MyTimetable system to view your timetables. This system will be available later in the summer. Important: To help you generate an accurate timetable please read this quick guide on how to use the system first.
Pre-course reading
While there is no compulsory pre-course reading, you will receive access in July to preparatory materials covering mathematics, statistics, and an introduction to Python. Although optional, it is strongly recommended that you review the content on mathematics and statistics. If you would like to undertake some general background reading in preparation for your Term 1 Master’s course, the following materials are recommended.
International Commodity Trade
- Tamvakis, M. (2024). Commodity Economics, Accessed at Commodity Economics (google.com)
Shipping Economics
- Stopford, M. (2009). Shipping Economics. 3rd Edition, Routledge.
Accounting and Finance
- Atrill, P. and E. McLaney. (2019). Accounting and Finance for Non-Specialists. 11th Edition, Pearson.
- Atrill, P. and E. McLaney. (2018). Management Accounting for Decision Makers. 9th Edition, Pearson.
- Brealey, R., S. Myers and Allen (2019/20). Principles of Corporate Finance. 13th Edition, McGraw Hill.
Data Analytics for Shipping, Energy, Trade and Finance
- Anderson, D., Sweeney, D., Williams, T., Camm, J., Cohran, J., Fry, M., Ohlmann, J., Freeman, J., and Shoesmith, E. (2024). Statistics for Business and Economics. 6th Edition, Cengage.
Text Books
Information regarding full reading lists and core text will be included in the Student Handbook. Textbooks may be purchased from any good academic book shop. However, many of the textbooks are also available online through the university’s library.