These pages provide you with a brief introduction to your course, and some suggested pre-reading. This pre-reading is recommended to ensure you are comfortable with topics which make up the foundation of your course. You will receive your induction timetable in July/August and your streams will be confirmed on your Moodle pages closer to the time.
Your induction is a two-week compulsory period where you will get acquainted with your fellow students, the careers team and course faculty, through various in-person and online sessions. It also involves completion of the final stages of the student registration process.
Throughout your induction you will receive a number of classes related to your course as well as a range of careers events. These events will be included in your induction timetable as well as in the careers event timetable.
We look forward to welcoming you all in September.
Timetables
You should use the MyTimetable system to view your timetables. Your timetable will be available later this summer. Important: To help you generate an accurate timetable please read this quick guide on how to use the system first.
Pre-study modules
Please note that access to the online pre-study modules will be available to all students who are holding an unconditional offer for MSc Business Analytics and have logged into the online registration system. You will receive an email from the Admissions team on how to access the pre-study modules in August.
Three bespoke pre-courses are available only to MSc in Business Analytics students. The modules are:
- Python Programming
- R Programming
- Professional Ethics and Good Academic Practice
The content of these pre-courses is available on our online platform. In addition, several in-house and online synchronous Python and R Programming tutorials are available during the induction period, and further tutorials are available in October. Such hands-on tutorials are delivered via learning-by-doing approach, and thus, students are expected to have their very own machine during these tutorials.
Python Programming
Short description
This pre-study module is a gentle introduction to programming in Python that assumes no prior programming knowledge on the part of students.
What is expected to achieve?
At the end of the module, students should be able to: i) understand and use the built-in Python objects; ii) design and operate control flows in Python; iii) manage Python environments; iv) create data pipelines; v) carry out fundamental operating system tasks with Python.
How could this module help me during my studies at Bayes?
Throughout the program, MSc in Business Analytics students must implement analytical models in Python. Applied Deep Learning, Data Visualisation, Digital Technologies and Value Creation, and Network Analytics are the core Business Analytics modules that would require Python implementations.
R Programming
Short description
This pre-study module is a gentle introduction to R programming that assumes no prior programming knowledge on the part of students.
What is expected to achieve?
At the end of the module, students should be able to have a first-hand experience programming skills useful in computational machine learning and computational statistics.
How could this module help me during my studies at Bayes?
Throughout the program, MSc in Business Analytics students must implement analytical models in R. Analytics Methods for Business, and Machine Learning are the core Business Analytics modules that would require R implementations.
Professional Ethics and Good Academic Practice
Short description
This pre-study module aims to cultivate your awareness of some key ethical issues prevalent in data analysis and statistics, in particular those issues emerging in the applications of modern data science.
How could this module help me during my studies at Bayes?
You will develop your awareness of what constitutes good academic practice and learn how to properly reference your work and avoid issues such as plagiarism and poor scholarship in your work.
Questions?
If you have any questions about the student experience on one of our MSc degrees, who better to ask than one of our current MSc students? Our helpful Online Student Ambassadors will be happy to answer your queries.