Courses & Units
Data Analytics for Cyber Security ZAT119
Introduction
In this unit you will learn how to interpret and analyse cyber security data. You will use methodologies and reporting techniques which are useful for strengthening information and network security and proposing changes. Specifically, you will learn about cyber security data; the techniques for identifying different vulnerabilities; and how data-driven decision-making techniques can be used to inform and report on purpose driven countermeasures. This unit also introduces learning through practice by exposing you to authentic learning experiences. These experiences are placed at the centre of learning and assessment, so you have the opportunity to develop the skills, knowledge and behaviours necessary to respond to industry, community and/or global needs. You will be introduced to: - a range of methods, tools, techniques and approaches to practice - principles and perspectives such as values, ethics, empathy and leadership in real world scenarios - reflection and deliberative thinking as a means of developing knowledge, skills, attitudes and aspirations - ways of understanding problems and developing solutions through active inquiry.
Summary
| Unit name | Data Analytics for Cyber Security |
|---|---|
| Unit code | ZAT119 |
| Credit points | 12.5 |
| College/School | College of Business & Economics University College |
| Discipline | Applied Design, Science and Technology |
| Coordinator | Mr Lachlan Hardy |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Online | Semester 1 | Off-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 1 | 20/2/2023 | 21/3/2023 | 10/4/2023 | 28/5/2023 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Analyse the role and purpose of data for cyber security
- Explain how data analytics is applied in the cyber security industry
- Apply analytical cyber security processes to address industry challenges
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 020305 | $1,037.00 | $1,037.00 | not applicable | $2,522.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
ZAT201|ZAT213Teaching
| Teaching Pattern | Two hour tutorials weeks 1 - 3 and 5 – 9 and 10 - 12 |
|---|---|
| Assessment | AT1: Cybersecurity Dashboard (Microsoft Excel) (25%)|AT3: Data driven decision making (35%)|AT2: Network Data Analysis using Wireshark (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.