Module BUSI4R115: Data Analytics for Strategic Decision-Making

Department: Management and Marketing

BUSI4R115: Data Analytics for Strategic Decision-Making

Prerequisites

• None

Corequisites

• None

Excluded Combination of Modules

• None

Aims

• To provide an appreciation of predictive and prescriptive business-analytics techniques.
• To provide knowledge of, and ability to apply, a range of predictive and prescriptive business-analytics techniques.
• To implement predictive and prescriptive business-analytics models using appropriate software.
• To show how business analytics can help companies to make better decisions.
• To provide knowledge of, and ability to apply, storytelling with data to promote data-driven decision-making.

Content

• Predictive techniques such as simulation, queueing models, and Data Envelopment Analysis (DEA).
• Prescriptive techniques such as decision analysis and linear optimisation.

Learning Outcomes

• By the end of the module students should:
• Have in-depth knowledge of a range of predictive and prescriptive business-analytics techniques and be able to apply them critically to management problems.
• Have an understanding of the applicability and limitations of predictive and prescriptive business-analytics techniques;

• By the end of the module students should be able to:
• Implement predictive and prescriptive business-analytics models using appropriate software packages;
• Interpret the results of predictive and prescriptive business analytics models and their relevance for companies;
• Choose appropriate business-analytics techniques for some key management problems.

• Effective written communication skills
• Oral presentation
• Planning, organising and time-management skills
• Problem solving and analytical skills
• Sourcing appropriate data and evaluating evidence
• Interpreting and using data
• Selecting appropriate modes of communication
• Making effective use of communication and information technology
• Storytelling with data

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• This module will be delivered jointly by the Department of Computer Science and the Business School
• Learning outcomes are met through classroom-based workshops, supported by online resources. The workshops consist of a combination of taught input, computer practical sessions, groupwork, case studies and discussion. Online resources provide preparatory material for the workshops – typically consisting of directed reading and video content.
• The formative assessment consists of classroom-based exercises involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module.
• The summative assessments are an individual video presentation and an individual business analytics project. Both assessments are designed to test the ability to formulate a problem, apply appropriate business-analytics techniques to analyse it, and critically interpret the results obtained.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

The formative assessment consists of classroom-based exercises involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module. Oral and written feedback will be given on a group and/or individual basis as appropriate.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University