Graduate Certificate of Managerial Analytics

Unit Code: LEO5301

Description:

Digital transformation and disruption have made it increasingly important for managers to understand the applications of using data to make informed decisions. Managers must make complex decisions to enable organisational success. The abundance of data generated by organisations can be confronting for managers particularly on how to use data to make optimal decisions. This unit introduces a data analytics cycle to empower managers in using data to generate insights and execute decisions. Students will learn how fallacies in data can lead to the formulation of incorrect conclusions and potentially suboptimal decisions. This unit describes the importance of analysis and visualisation of data to make effective managerial decisions with reference to reports and dashboards.

Unit Code: LEO5303

Description:

Business intelligence and analytics applications and techniques enable organisations in making sense of vast amounts of data. Managers and analysts can benefit from applying analytical techniques for data to facilitate knowledge development for organisations and stakeholders. This unit will introduce students to the process of undertaking data transformation and analysis for the purpose of producing insights from the data to address real world problems. Students will understand from the analyst’s perspective and their toolkit on how to use modern tools (e.g. SQL, Excel, Power BI, Tableau) to run exploratory data analysis and statistical analyses. Results and outputs are then framed from a managerial perspective on how to communicate insights. The aim for students is to be able to apply analytical techniques to derive actionable insights using complex datasets.

Unit Code: LEO5302

Description:

The use of data and application of analytics is now ubiquitous in addressing various problems in the organisational and public domain. Despite the widespread use of data and analytics, there are issues and challenges that students should be aware of its utility for enacting change and for decision making purposes. This unit will provide an overview of contemporary issues surrounding the utility of data and analytics. Real-world case studies (e.g., Cambridge Analytica and others) will illustrate potential undesirable and unintended consequences for using analytics and data-driven technologies. Students will develop an understanding of the economic, legal, and ethical considerations when considering the use of analytics. Frameworks and models on data governance will be introduced for building accountability to maximise proper usage of analytics tools. The unit will explore the “dark side” of data analytics and artificial intelligence to enable students to make balanced judgments about the positive and negative consequences of using data for specific goals.

Unit Code: LEO5304

Description:

Different stakeholder groups in organisations rely on a range of reports and dashboards for operational and strategic decision-making needs. Engaging and relevant reports that communicate appropriate key performance indicator (KPI) information should be aligned to organisational strategy and objectives.

This unit will explore the stakeholder engagement and leadership skills necessary to drive adoption and usage of self-service reporting platforms. The unit will also introduce modern reporting and data management platforms used for implementing reporting solutions.

Students will develop an understanding of the optimal characteristics (e.g., accessibility, completeness) of a report and/or dashboard to support different levels of management in an organisational setting. Lastly, the unit will illuminate how reports and dashboards can enable visibility on performance measures to monitor progress towards an organisation’s strategy.

Unit Code: LEO5310

Description:

Contemporary analytics requires skills in data identification, exploration, and presentation. This unit develops basic skills in the use of SQL and R to clean and explore data. It then focuses on the use of R, as a programming language, for further manipulation and visualisation of complex data. Specifically, it promotes the use of R for development of dashboards, presentation slides and reports. It also provides instruction on the use of Generative AI to draft R code. Through the strategic application of these tools, commonly used throughout the data analytics cycle, the unit emphasises principles of information design in the exploration and visualisation of complex data, thereby improving the usability of analytical findings to support decision-making and address dynamic challenges. Examples will included as a foundation for students to develop their own application of data exploration and visualisation.

Unit Code: LEO5311

Description:

Quantitative data analysis lies at the centre of the data analytics cycle – the critical stage when data is transformed into findings and insights. This unit introduces the use of Microsoft Excel for statistical analysis and basic modelling methods. While covering a broad range of quantitative methods, it provides specific instruction on the use of confidence intervals, linear regression, and causality analysis to generate findings that can inform decisions across a wide range of applications. Examples from marketing, economics, accounting and related disciplines are included as a foundation for students to design and execute their own application of quantitative data analysis.

Unit Code: LEO5312

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

Data reporting and presentation plays a vital role in the data analytics cycle. This unit develops advanced skills in the use of Power BI for the exploration, analysis, and presentation of data for decision-making. Specifically, it focusses on transformation of raw data into a worked form for initial visualisation and descriptive analysis. It then moves through the data analytics cycle to provide instruction for intensive use of Power BI to generate reports and dashboards in alignment with stakeholder needs. Examples of analysis, visualisation and reporting using Power BI will be included as a foundation for students to design and execute their own application of reporting and presentation.

Unit Code: LEO5113

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

This unit is designed to provide you with the opportunity to put theory into practice in a business environment.

Unit Code: LEO5200

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

Monash University’s 2030 impact statement is committed to addressing the most pressing challenges of the future. This unit provides enterprising students with the opportunity to put theory into practice in response to global challenges.

Students will learn about and engage with three global challenges and develop a proposal that has the potential to change it.

Global challenges

• Climate change
• Geo-political security
• Thriving communities