Module manager: Aritad Choicharoon
Email: A.Choicharoon@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2025/26
This module is not approved as an Elective
This module aims to introduce students to key concepts in business analytics, with a special emphasis on common areas of application. It also explores the links between the behavioural (decision science) perspective on decision support and the management science/business analytics perspective.
Upon completion of this module students will be able to:
- Critically evaluate decision science and business analytics perspectives on organisational decision support and identify and explore their complementarity
- Explore and comment on the emerging role of ‘big data’
- Display familiarity with major areas of application of business analytics
- Apply accurately a range of the key methods employed in business analytic approaches to problem solving
Upon completion of this module students will be able to:
Transferable
- Apply accurately in different environments problem formulation and solving skills
Indicative content
Introduction to Business Analytics; Analytics on Spreadsheets; Visualizing and Exploring Data; Probability Distributions and Data Modelling; Clustering; Network Graphing; Linear Optimization; Applications of Linear Optimization; Optimization Models with Uncertainty; Decision Analysis; Big Data Systems, Analytics using R.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| e-Lecture | 10 | 1.5 | 0 |
| Lecture | 5 | 1.5 | 7.5 |
| Seminar | 10 | 1.5 | 15 |
| Independent online learning hours | 15 | ||
| Private study hours | 112.5 | ||
| Total Contact hours | 22.5 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Students will be provided with flipped material to build on the theory and practical material learned in the previous week. This will be supplemented by seminars in which students will be instructed by teaching staff to engage with the practical material that underpin the theory.
The innovative content on this flagship module includes interactive quizzes that provide instantaneous written formative feedback. There will also be opportunities for receiving formative feedback during the seminars and drop-in workshops.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | 3,000 words | 100 |
| Total percentage (Assessment Coursework) | 100 | |
The resit for this module will be 100% by assessed coursework.
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