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HE Unit Template
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The Data-Driven Professional
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ITECH5207 - The Data-Driven Professional
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20250600
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Course
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Unit
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4.2
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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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020199
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Computer Science, n.e.c.
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020199 - Computer Science, n.e.c.
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<a href="http://www.federation.edu.au/locate/unit/itech5207">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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9
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Masters Degree
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Introductory
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<p>This unit provides the foundational knowledge and skills required to succeed in a professional career in which working with data and making data-driven decisions are critical. This unit provides an overview of topics that play fundamental roles across various subjects in data science and information technology including computational thinking. Topics to be covered include data types, data representation, data preparation, data processing and mining, data management, data exploration and visualisation, and ethical and professional consideration. Hands-on experience working with real-world data, techniques, and tools will prepare students for advanced units and enable students to start careers as data-driven professionals</p>
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<p>Topics may include:<br>
1. Introduction to data and data science<br>
2. Data types and representation<br>
3. Foundations of data-driven algorithms and programming<br>
4. Data collection, pre-processing, wrangling, and management<br>
5. Data analytics and visualisation<br>
6. Fundamentals of data mining<br>
7. Data science tools<br>
8. Communication, networking, teamwork, workplace dynamics<br>
9. Ethical decision-making</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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2027
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2026
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ITECH5207 - The Data-Driven Professional
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ITECH5207 - The Data-Driven Professional
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Semester 1
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Year
2027
2026
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Overview
Key information
Requisites
Learning outcomes
Assessment
Parent Region
Overview
Unit description
<p>This unit provides the foundational knowledge and skills required to succeed in a professional career in which working with data and making data-driven decisions are critical. This unit provides an overview of topics that play fundamental roles across various subjects in data science and information technology including computational thinking. Topics to be covered include data types, data representation, data preparation, data processing and mining, data management, data exploration and visualisation, and ethical and professional consideration. Hands-on experience working with real-world data, techniques, and tools will prepare students for advanced units and enable students to start careers as data-driven professionals</p>
Unit content
<p>Topics may include:<br> 1. Introduction to data and data science<br> 2. Data types and representation<br> 3. Foundations of data-driven algorithms and programming<br> 4. Data collection, pre-processing, wrangling, and management<br> 5. Data analytics and visualisation<br> 6. Fundamentals of data mining<br> 7. Data science tools<br> 8. Communication, networking, teamwork, workplace dynamics<br> 9. Ethical decision-making</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:
020199 - Computer Science, n.e.c.
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Summer Semester</strong><p>Melbourne City Campus (On Campus)</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/itech5207">View unit fees</a>
Requisites
Prerequisite
None
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>Interpret the principles of modern data science as well as data science lifecycle.</p>
K2
<p>Differentiate between the most common forms of data types, representations, algorithms, and data analysis approaches.</p>
K3
<p>Critique and apply a core collection of elementary techniques for data preparation, processing, management, exploration, and visualisation.</p>
K4
<p>Outline key ethics theories, methods of ethical analysis, and principles of professional conduct, including integrity systems and the ACS Code of Professional Conduct.</p>
K5
<p>Formulate ethical solutions for personal responsibilities and actions linked to new technologies, considering the moral basis of public policies.</p>
S1
<p>Demonstrate competent skills in using data science technology for solving complex problems at an appropriate level of difficulty</p>
S2
<p>Contrast and use data science software and tools.</p>
S3
<p>Implement any chosen data science solution and communicate the results effectively.</p>
S4
<p>Access, collate, manage, and interpret digital information, with consideration of security and privacy.</p>
S5
<p>Apply critical thinking and problem-solving skills in multidisciplinary situations considering professional norms and safety.</p>
A1
<p>Employ appropriate techniques and tools to process and analyse data, and communicate the results to an expert or general audience.</p>
A2
<p>Integrate data science principles, methods, techniques and tools covered in this unit to plan and execute a data-driven project.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Students will apply data science principles, methods, techniques and tools to design, implement and document solutions to simple problems.</p>
<p>Assignments and exercises</p>
<p>90%-95%</p>
K1, K2, K3, K4, K5, S1, S2, S3, S4, S5, A1, A2
3
<p>Complete laboratory activities and engage in in-class discussions synchronously or asynchronously as appropriate</p>
<p>Participation in laboratories</p>
<p>5%-10%</p>
K2, K3, K4, S1, S2, A1, A2
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:
020199 - Computer Science, n.e.c.
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Summer Semester</strong><p>Melbourne City Campus (On Campus)</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/itech5207">View unit fees</a>
Additional information
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Internal reference: ITECH5207 - U4.2