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HE Unit Template
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Advanced Data Science Project 2
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DATSC5002 - Advanced Data Science Project 2
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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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Engineering
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Institute of Innovation, Science & Sustainability
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Engineering
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Postgraduate - Coursework
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30
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010199
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Mathematical Sciences, n.e.c.
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010199 - Mathematical Sciences, n.e.c.
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<a href="http://www.federation.edu.au/locate/unit/datsc5002">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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Advanced
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<p>This course is intended to be taken in sequence with DATSC5001 and will build upon that course. You will continue to develop the knowledge and skills needed to undertake a data science research project. During the course, you will be employing a combination of theoretical, analytical and computing skills relevant to your field of advanced study. You will produce a final written thesis (or other suitable form of written work) and present your findings in front of a peer-based audience.</p>
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<p>•Analysis of results<br>
•Creative and critical thinking<br>
•Preparation of a research thesis<br>
•Producing research paper out of a research thesis</p>
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Semester
Semester
0200
Year
Year
2027
Current Year
2026
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Handbook
DATSC5002 - Advanced Data Science Project 2
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DATSC5002 - Advanced Data Science Project 2
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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 course is intended to be taken in sequence with DATSC5001 and will build upon that course. You will continue to develop the knowledge and skills needed to undertake a data science research project. During the course, you will be employing a combination of theoretical, analytical and computing skills relevant to your field of advanced study. You will produce a final written thesis (or other suitable form of written work) and present your findings in front of a peer-based audience.</p>
Unit content
<p>•Analysis of results<br> •Creative and critical thinking<br> •Preparation of a research thesis<br> •Producing research paper out of a research thesis</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
30
EFTSL:
0.25
Field of education:
010199 - Mathematical Sciences, 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/datsc5002">View unit fees</a>
Requisites
Prerequisite
<p>must have completed "<a href="/ords/r/curriculum/catalogue/course?p6_code=ITECH5500" target="_blank">ITECH5500</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>Critically analyse the concepts underlying research in data science.</p>
K2
<p>Justify how to approach and undertake a research project at an advanced level.</p>
K3
<p>Systematically apply critical thinking to research design and investigation.</p>
S1
<p>Apply advanced level mathematics, statistics and predictive modelling techniues to gain insights, predict behaviours and generate value from data.</p>
S2
<p>Communicate the outcomes of their research to peers through written and verbal means.</p>
S3
<p>Critically review and synthesize research literature.</p>
S4
<p>Construct appropriate research methodologies, evaluate their limitations and formulate recommendations for future research.</p>
A1
<p>Critically assess and synthesize information from statistical data analysis.</p>
A2
<p>Produce a major piece of written work through a thesis (and other formats), commensurate with the discipline and field of research.</p>
A3
<p>Critique existing regression and multivariate methods in literature and recomend improvements, where appropriate, to create new knowledge.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>A short presentation in the early weeks of the semester on the progress made thus far in the research project.</p>
<p>Presentation</p>
<p>5 - 15%</p>
K1, K2, S2, S3, A1
3
<p>Final thesis/research paper to be submitted to the supervisor for examination. Note thesis/paper will be examined by at least one independent reviewer.</p>
<p>Production of a dissertation</p>
<p>70 - 80%</p>
K1, K2, S1, S2, S3, S4, A1, A2, A3
4
<p>Final presentation to assess your ability to orally communicate major technical concepts, important findings and potential future work/s underlying your project in a logical and clear manner.</p>
<p>Presentation</p>
<p>10 - 20%</p>
K1, K2, K3, S2, S4, A1, A3
Supplementary assessment available:
No
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
30
EFTSL:
0.25
Field of education:
010199 - Mathematical Sciences, 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/datsc5002">View unit fees</a>
Additional information
Cards Section - Non Research
Add Info Static Text
Internal reference: DATSC5002 - U2.1