Handbook home
Advanced Data Analysis (ECOM90025)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | Semester 2 - Dual-Delivery |
---|---|
Fees | Look up fees |
This subject covers a range of statistical methods and computational approaches that are applicable in business and economics. This will include a review of data types and regression, and statistical methods for prediction, classification, and causal analysis.
Intended learning outcomes
On completion of this subject, students should be able to:
- Implement computational methods to prepare, explore and describe a range of types of data.
- Apply regression and extensions including trees, random forests and regularised estimation for computing and evaluating predictions.
- Apply and critique nonparametric regression methods for estimation and prediction.
- Apply and compare methods for statistical classification.
- Implement, compare, and critique simple econometric frameworks for causal analysis including experiments, matching and difference-in-differences.
Generic skills
- High level of development: written communication; application of theory to practice; interpretation and analysis; critical thinking; synthesis of data and other information; evaluation of data and other information; statistical reasoning; use of computer software.
- Moderate level of development: problem solving; accessing data and other information from a range of sources.
- Some level of development: oral communication; collaborative learning; receptiveness to alternative ideas.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90520 | Data Wrangling and Visualisation | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
AND
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM90001 | Basic Econometrics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
Corequisites
Non-allowed subjects
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Individual Assignment
| Week 4 | 10% |
Individual Assignment
| Week 8 | 15% |
Individual Assignment
| Week 12 | 15% |
24 hours Project (equivalent to 2000 words)
| During the examination period | 60% |
Last updated: 31 January 2024
Dates & times
- Semester 2
Principal coordinator Yong Song Mode of delivery Dual-Delivery (Parkville) Contact hours Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Applied Econometrics Course Master of Applied Econometrics (Enhanced) Course Master of Applied Econometrics - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024