Digital Economy and Analysis
UndergraduateGRF-AFE1372024
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 13 weeks
- Start dates
- 4 Mar 2024
- Loan available
- HECS-HELP and FEE-HELP available
Digital Economy and Analysis
About this subject
After successfully completing this course you should be able to:
- Describe basic economics principles and techniques with application to the digital economy;
- Analyse the dynamic of the digital economy in relation to the implications, challenges and innovation opportunities it presents;
- Discern appropriate data analytic techniques and apply them to an innovative business context;
- Analyse data for decision making in applied and innovative business context.
ASSURANCE OF LEARNING
This course has been designed to collect data regarding your capacity to identify and critically analyse sources of data to inform evidenced based decision making.
- Basic economic concepts & digital economy
- How markets work in the digital economy?
- Information economics & digital economy
- Digital economy & structural change
- Digital economy, innovation & growth
- Data analysis, big data & digital economy
- Working with data
- Basic probability
- Estimation and testing of hypotheses
- Analysing relation between variables
- Basic forecasting
This course introduces students to the basic economic principles and techniques (both micro and macro) with particular applications to the digital economy. Understanding of these principles and techniques equip students with relevant foundational skills to analyse the dynamic of the digital economy in relation to the implications, opportunities and challenges it presents. With digital economy the world has also seen an exponential increase in the amount of data generated per second. When strategically managed and analysed, data transform into useful information for business decision making. As such, this course further equips students with basic data analytic skills in applied business context.
- Written Assignment (40%)
- Problem Solving Assignment - Computing 1 (30%)
- Problem Solving Assignment - Computing 2 (30%)
For textbook details check your university's handbook, website or learning management system (LMS).
With a network of campuses spanning three cities in South East Queensland, Griffith University is committed to progressive multidisciplinary teaching and research and a valuable online provider with Open Universities Australia. Already attracting students from over one hundred countries, Griffith's dedication to academic excellence is available across Australia through OUA.
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- QS Ranking 2024:
- 18
- Times Higher Education Ranking 2024:
- 20
Entry requirements
No entry requirements
Equivalent subjects
You should not enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:
GRF-AFE133 (Not currently available)
Additional requirements
- Equipment requirements - Audio/Visual equipment
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
Bachelor of Applied Financial Advice
UndergraduateGRF-AFA-DEG
UndergraduateGRF-BUS-DEG
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