Module manager: Panagiotis Stamolampros
Email: p.stamolampros@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2025/26
This module is not approved as an Elective
This module aims to provide students with a thorough overall grasp of modern business analytic tools and their applications to business management.
Upon completion of this module students will be able to:
- Explore and subsequently critically evaluate the role of data and data analysis in modern business management (with special emphasis on data mining and forecasting)
- Identify, explore and appraise the links between quantitative analysis and behavioural insights
Upon completion of this module students will be able to:
Transferable
- Apply accurately in different environments problem formulation and solving skills
Indicative Content
Predictive Analytics; Visual Analytics; Forecasting, Econometrics and Time Series; Model Management and Monitoring; Text Analytics; Analytics for Microsoft Office; Simulations; Advanced R programming; Survival Analysis.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 10 | 1.5 | 15 |
| Seminar | 10 | 1.5 | 15 |
| Private study hours | 120 | ||
| Total Contact hours | 30 | ||
| Total hours (100hr per 10 credits) | 150 | ||
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.
Via regular class or online exercises and feedback on performance both in class and through completion of examples.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) (S2) | 3.0 Hrs Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 30/04/2025
Errors, omissions, failed links etc should be notified to the Catalogue Team