ECONOMETRICS AND DATA ANALYTICS

Overview

In this subject, you will enhance your proficiency in quantitative data analysis while acquiring quantitative techniques commonly used in business. These skills will enable you to effectively address critical research inquiries and make informed strategic choices. The curriculum encompasses various topics like time-series modelling and panel data analysis. Moreover, you will delve into the realm of data mining and machine learning, acquiring hands-on experience with software tools. This subject will provide you with the expertise and competence to apply econometrics and data analytics techniques in academic research and business scenarios.

Portfolio

Office of the Provost

School

Subject coordinator

Rui Xue

Subject type

Research

Year level

Year Level 5 - Masters

AQF level

Level 9 – Masters Degree by Research

Available as elective

Available to study abroad / exchange students

Capstone subject
Capstones provide students with a way of integrating and applying knowledge and skills gained throughout their course.

Academic progress review - Schedule A subject

Subject instances

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Career ready

Work based learning (placement):No

Graduate capabilities

COMMUNICATION - Communicating and Influencing

COMMUNICATION - Digital Capability

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

PERSONAL AND PROFESSIONAL - Adaptability and Self-Management

PERSONAL AND PROFESSIONAL - Ethical and Social Responsibility

Subject intended learning outcomes

On successful completion you will be able to:

Apply appropriate and various quantitative data analysis techniques using software tools

Communicate the methods and results of the utilised quantitative approaches in a professional manner

Appraise different quantitative data analysis techniques and justify the selection of techniques for addressing research questions in business

Learning activities

Workshops, readings, discussions and assessment items.

Requisite rules

Prerequisite: Students must be admitted in LMBR or subject coordinators approval

Handbook