Overview:
- Credits:
- 5.0
- Level:
- 3
- Semester:
- Semester Two
- Subject:
- Management Information Systems
- School:
- Business
- Coordinator:
- Dr David Fagan
MIS30140 Business Analytics Project
Academic Year 2017/2018
This is an applied module which allows students address a small realistic business problem using business analytics. Students will complete a review of the literature to understand the problem and what others have done to solve the problem. Students will define a specific problem and select an appropriate business analytics technique such as regression or linear programming to solve the problem.This module will be delivered using an enquiry based learning (EBL) approach. The Business Analytics Problem will be framed and scoped during the EBL contact sessions. Data Sources and solution approaches will be explored with the student deciding and justifying their final choice.
There is no final exam. 100% of the marks are awarded for three continuous assessment components. Students submit a management report, the code and data used to solve the problem and make an oral presentation on their project.
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Curricular information is subject to change
Learning Outcomes:
On successful completion of this module students will be able to
1. Demonstrate a capacity to identify a business analytics problem and relate it to problems described in the literature;
2. Specify a business analytics problem in a mathematical/statistical modelling framework;
3. Select and implement an appropriate business analytics methodology to solve the problem;
4. Analyse and present the results of the solution with justifiable recommendations.
| Student Effort Type | Hours |
|---|---|
| Lectures | 24 |
| Specified Learning Activities | 36 |
| Autonomous Student Learning | 60 |
| Total | 120 |
Requirements, Exclusions and Recommendations
Learning Requirements:MIS 20010 Business Analytics and SBUS10050 Data Analysis or equivalent
Learning Recommendations:Student should have met learning outcomes in introductory statistical concepts such as regression and mathematical modelling concepts such as linear programming.
Module Requisites and Incompatibles
Pre-Requisite:MIS10060 - Introduction to Bus Analytics, MIS20010 - Business Analytics, SBUS10050 - Data Analysis Decision Makers
Co-Requisite:
MIS30040 - Analytics Modelling
Additional Information:
Pre requisites: SBUS10050 or MIS10060 AND MIS20010 or MIS30040
| Description | % of Final Grade | Timing |
|---|---|---|
| Continuous Assessment: Management Report | 50 |
Throughout the Trimester |
| Continuous Assessment: Project Implementation | 25 |
Throughout the Trimester |
| Continuous Assessment: Presentation | 25 |
Throughout the Trimester |
Compensation
This module is not passable by compensation
Resit Opportunities
In-semester assessment
Remediation
If you fail this module you may repeat the module in a semester when the module is taught.
| Name | Role |
|---|---|
| Dr Michael Fenton | Lecturer / Co-Lecturer |
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