BUSA2001
10 units
2000 level
Course handbook
Description
Big Data Analytics is regarded as one of the important emerging technologies in different fields of business including accounting, economics, finance, marketing, and management. Big data refers to data sets with large sizes that are beyond the ability of traditional data management software tools. While traditional data processing technologies are inadequate, practical knowledge addressing challenges of huge or complex data handling in terms of their analysis, transformation, visualisation and prediction is paramount in businesses. This course introduces students to various massive data sets that can be structured, semi-structured, or unstructured and sourced from multi-media, social media, cloud platforms, web, IoT and traditional economic and business databases. Students will apply data mining and natural language processing tools to these big data to gain business insights such as hidden patterns, untold facts, unknown correlations, market trends, and customer preferences. Big data from social media and financial statements now play a significant role in extracting information for making informed business decisions related to understanding customer behaviours and financial investments. Case studies on big data analytics will be utilised to design and communicate concepts and techniques used in business decision making.
Availability2024 Course Timetables
Newcastle City Precinct
- Semester 2 - 2024
Learning outcomes
On successful completion of the course students will be able to:
1. Discuss and evaluate fundamental concepts and principles in big data analytics.
2. Discuss the key concepts, benefits, and challenges of big data analytics.
3. Demonstrate skills in processing and utilising social media data and finance data.
4. Critically evaluate data sources, data sets, and inferences made from big data analytics.
Content
The topics in this course include:
- Understanding context of big data
- Principles of big data analytics
- Collecting and processing social media data
- Collecting and processing financial data
- Inferences made from big data analytics
Assumed knowledge
BUSA1001 Introduction to Business Information Systems
Assessment items
Case Study / Problem Based Learning: Case study - Methods of Data Analytics in an area of business
Written Assignment: Data Cleansing and Processing in an area of business
Formal Examination: Final Exam
Contact hours
Semester 2 - 2024 - Newcastle City Precinct
Lecture-1
- Face to Face On Campus 1 hour(s) per week(s) for 13 week(s) starting in week 1
Workshop-1
- Face to Face On Campus 2 hour(s) per week(s) for 12 week(s) starting in week 2
Course outline
Course outline not yet available.
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.