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HE Unit Template
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Real Time Analytics
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ITECH7407 - Real Time Analytics
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20250100
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Course
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2.1
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2026-09-10
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2026-09-10
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Information Technology
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Institute of Innovation, Science & Sustainability
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Information Technology
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Postgraduate - Coursework
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15
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.125
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029999
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Information Technology, n.e.c.
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029999 - Information Technology, n.e.c.
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<a href="http://www.federation.edu.au/locate/unit/itech7407">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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Masters Degree
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<p>This unit builds upon previous units to cover the principles, methodologies, applications and management of real time big data sets, including related data analytical methods, as used in enterprise environments. You will engage in researching a business case, applying predictive and real time analytics to big data sets to achieve meaningful insights into data in rapidly changing environments.</p>
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<p>Real time systems and technologies.<br>
Big data basics.<br>
Industry examples of big data.<br>
Big data technologies.<br>
Information management.<br>
Business analytics.<br>
Real time analytics.<br>
Security, compliance, auditing and protection of big data.<br>
New trends in the area of real time analytics.</p>
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<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
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Semester
Semester
0200
Year
Year
2027
Current Year
2026
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ITECH7407 - Real Time Analytics
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ITECH7407 - Real Time Analytics
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Semester
Semester 1
Semester 2
Summer Semester
Year
2027
2026
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Overview
Key information
Requisites
Learning outcomes
Assessment
Parent Region
Overview
Unit description
<p>This unit builds upon previous units to cover the principles, methodologies, applications and management of real time big data sets, including related data analytical methods, as used in enterprise environments. You will engage in researching a business case, applying predictive and real time analytics to big data sets to achieve meaningful insights into data in rapidly changing environments.</p>
Unit content
<p>Real time systems and technologies.<br> Big data basics.<br> Industry examples of big data.<br> Big data technologies.<br> Information management.<br> Business analytics.<br> Real time analytics.<br> Security, compliance, auditing and protection of big data.<br> New trends in the area of real time analytics.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
029999 - Information Technology, n.e.c.
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech7407">View unit fees</a>
Requisites
Prerequisite
<p>must have completed "<a href="/ords/r/curriculum/catalogue/course?p6_code=ITECH5402" target="_blank">ITECH5402</a>"</p>
Corequisite
None
Exclusion
None
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Examine the principles, methodologies and applications of real time systems in diverse domains.</p>
K2
<p>Identify and explain the architectural components of real time systems.</p>
K3
<p>Communicate the key drivers for big data in terms of efficiency, productivity, revenue and profitability to global organisations.</p>
K4
<p>Distinguish and describe types of big data, and analyse its differences from other types of data.</p>
K5
<p>Investigate and critique various technologies used to support real time systems, big data analytics including mobile specific data.</p>
S1
<p>Integrate data warehouse and business intelligence techniques when using big data.</p>
S2
<p>Create flexible analytical models based on real time data, and use connectivity interfaces and tools for reporting purposes.</p>
S3
<p>Use real time performance analysis techniques to monitor data, and identify shifts or events occurring in data, as a basis for organisational decision making.</p>
A1
<p>Assess real-time big data systems for security, compliance, auditing, and protection.</p>
A2
<p>Evaluate and implement problem solving and decision making strategies to communicate solutions to organisational problems with key stakeholders, based on analysis of big data, in real time settings.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>As part of a team, apply advanced data analysis techniques to a real-world business case and associated complex dataset using a software tool. Review, select, and apply effective analysis techniques using designated software. Justify selections, with reference to the given business problem. Design a dashboard for key findings, and formulate meaningful and logical CEO recommendations. Align recommendations with operational and strategic objectives, justifying impacts on business processes and strategic positioning.</p>
<p>Assignment(s)</p>
<p>50% - 70 %</p>
K1, K2, K3, K4, K5, S1, S2, S3, A1, A2
2
<p>Following the case study analysis, present research findings to stakeholders in a simulated workplace context. Justify each recommendation comprehensively, demonstrating depth of understanding of how the proposed actions may positively impact business processes. Engage in self-reflection, documenting your learning journey, achievements, lessons learned, and other relevant aspects.</p>
<p>Presentation and self reflection</p>
<p>20% - 30%</p>
A1, A2
3
<p>Review and practice of skills and knowledge.</p>
<p>Quiz and test</p>
<p>10% - 20%</p>
K1, K2, K3, K4, S1, S2
Supplementary assessment available:
Yes
Supplementary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
029999 - Information Technology, n.e.c.
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech7407">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: ITECH7407 - U2.1