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This course introduces big data capabilities with threat intelligence to help detect, analyse and alleviate insider threats and targeted attacks from external bad actors and persistent cyber threats. It comprises several IT areas, including data analytics methods for identifying security issues in data, packet analysis for insider threats, network package and DDoS attack analysis from external threats and other intelligent technologies that derive cybersecurity issues from data.
Data Analytics for Cybersecurity Foundations introduces participants to the significance and language of data analytics in cybersecurity and the most common approach to standard process for data analytics. It offers practice in the foundations of data analytics of cybersecurity - identifying security risks, threats and vulnerabilities to the corporate computer and networks.
This microcredential aligns with the 2 credit point subject, Data Analytics in Cyber Security (411180) in the Graduate Certificate in Professional Practice (C11298), Graduate Diploma of Professional Practice (C06136), Master of Professional Practice (C04404), Graduate Certificate in Technology (C11301), Graduate Diploma in Technology (C06137) and Master of Technology (C04406).
This microcredential may qualify for recognition of prior learning at this and other institutions.
This microcredential is suitable for professionals from a wide range of sectors and backgrounds who are new to the field of data analytics and cybersecurity.
UTS microcredentials are developed for professionals with a capacity to undertake postgraduate tertiary education.
Full price: $1,595.00 (GST-free)*
*Price subject to change. Please check price at time of purchase.
During this microcredential, you will meet and work with a dedicated course facilitator who will support your learning and engagement with the teaching resources designed by the lead academic and team of experts, in the Faculty of Engineering and IT.
This course is structured into four modules. Each module comprises self-study materials and facilitated online sessions. The modules and key topics covered are:
Module 1 - Introduction to data analytics for cyber security
Module 2 - Fundamental data analytics using Python
Module 3 - Packet analysis for security
Module 4 - Network package analysis and DDoS attacks
The course is delivered in a scheduled format over ten weeks.
Each week (during weeks 1 to 8) you will participate in an online session where you will have the chance to apply what you've learned, ask questions and hear from other participants who are taking the course with you. The workshops are led by the course facilitator.
Weeks nine and ten are planned to give you time to complete the final assignment, with support and scheduled Q&A sessions provided.
This course includes weekly, live, one-hour online tutorials and one-hour weekly Q&A sessions facilitated by an expert UTS academic, supporting self-study and online learning activities.
Case studies of real-world applications illustrate applications of key tools and techniques. The workshop sessions focus on hands-on activities and examples. Regular formative quizzes throughout the microcredential will allow participants to gauge their progress.
Upon successful completion of this course, you will be able to apply data analytics to investigate cybersecurity datasets.
The graded assessment task is an individually written assessment on data exploration and analysis. This assignment includes reflection on individual practical work on data exploration and analysis (pre-processing and transformation) for cybersecurity, with artefacts (screenshots/outputs) of the practical work to be submitted in the report.
Length: 2,000 words
|Avg 5 hrs p/w|
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