<<

MIS30150 ICT For Strategic Decision Making

MIS30150 ICT For Strategic Decision Making

Module Coordinator Matt Glowatz [email protected] http://www.linkedin.com/in/mattglowatz

When? Semester Two

Credits 5 ECTS

General Structure One 1 hour lecture per week One 1 hour workshop per week (Bloomberg Laboratory) 16 hours online learning throughout the semester

Module Description

Today’s managers are faced with the challenge crafting and implementing timely and accurate strategic decisions utilising both offline and online data, information and knowledge. In doing so, it is essential that managers make optimal use of Information and Communications Technologies (ICT) for data collection and analysis.

This applied module investigates and discusses strategic decision making utilising ICT. Combining industry standard data collection and analytics tools, such as the Bloomberg Infrastructure, will gain important insights into sectors, industries and companies in order to draft strategic investment ideas and recommendations.

Another substantial part of this module requires students to complete an online published by .

Learning Outcomes

On successfully completion of the module, students should be able to

(i) Demonstrate a deep understanding of the major issues surrounding decision making.

(ii) Utilise and become proficient using online data collection tools for strategic decision making.

(iii) Evaluate and discuss organisations’ market performance utilising Bloomberg’s infrastructure.

(iv) Investigate and apply strategic decision making theories through an online simulation.

Matt Glowatz [email protected] 1 MIS30150 ICT For Strategic Decision Making

Workload

Lectures 12 hours Computer Aided Lab 12 hours Online Learning 16 hours Specified Learning Activities 24 hours Autonomous Learning 36 hours

Prior Learning No prior learning required, however, students should have a genuine interest in the fields of Data and , Decision Making Science and Management

Requirements, Exclusions None

Assessment

This module is assessed combining both individual and group assignment components as outlined below:

Essay (Individual. Strategic Decision Making Online Simulation (Harvard) 30% Online Practical Examination (Bloomberg - BMC) 20% Group Project: Business Analysis Project 30% Essay (Individual: Big Data Project Case Study Analysis) 30%

Learning Outcome Assessment Component

Essay Demonstrate a deep understanding of the major issues surrounding strategic Online Practical Examination management decision making. Big Data Project

Online Practical Examination Utilise and become proficient using online data collection tools for strategic decision Group Project: Business Analysis Project making.

Group Project: Business Analysis Project Evaluate and discuss an organisation’s market performance utilising Bloomberg’s infrastructure.

Investigate and apply strategic decision Essay: Harvard Business School Online making theories through an online simulation Simulation

Matt Glowatz [email protected] 2 MIS30150 ICT For Strategic Decision Making

Resits and Remediation

Students who fail this module are required to sit a repeat examination.

Tentative Module Planner

Week Topic

Week 1 Introduction to strategic decision making in the context of Information and Communications Technologies (ICT)

Week 2 Decision Science and , Bloomberg Infrastructure

Week 3 ICT for Decision Making, Bloomberg Infrastructure

Week 4 Management Decision Making using ICT, Bloomberg Infrastructure

Week 5 Bloomberg Infrastructure

Week 6 Harvard Business Online Simulation

Week 7 Harvard Business Online Simulation

Mid-Term Break No lectures

Week 8 Designing and implementing data and business analytics-related initiatives

Week 9 Ethical and legal issues in the context of collecting and utilising data for decision making

Week 10 Project Presentations and Discussion

Week 11 Emerging Trends and Future Outlook

Week 12 Module Review, Exam Preview

Recommended Readings

Readings and study materials for this module will be made available on Blackboard.

Matt Glowatz [email protected] 3