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Big Data and Cloud Computing unit (KIT318)

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Location: Melbourne Study Centre, Hobart, Launceston, Online

Introduction

In recent years, the rise of internet technologies and digital tools in daily life has led to a huge increase in data, known as Big Data. Traditional methods cannot manage this data, so new high-performance and distributed systems like clusters, clouds, MapReduce, and stream computing have been created. The aim of this unit is to give students basic knowledge and understanding of Big Data and distributed computing systems and applications, especially in the context of the Cloud. In other words, the unit will prepare students with the skills needed to build new applications that are scalable, efficient, and able to process Big Data. The key topics are data preparation and exploratory analysis, basics of parallel and distributed systems, Big Data platforms and programming, and basics of cloud computing. The unit will also explain how common cloud infrastructure is changing with these technologies and what future trends may look like.

Summary

Unit name Big Data and Cloud Computing
Unit code KIT318
Credit points 12.5
College/School Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator Doctor Wenli Yang
Available as an elective? Yes
Delivered By University of Tasmania
Level Advanced

Availability

Location Study period Attendance options Available to
Melbourne Study Centre Semester 1 This unit is available through on-campus delivery Available to International Students
Hobart Semester 1 This unit is available through on-campus delivery Available to International Students Available to Domestic Students
Launceston Semester 1 This unit is available through on-campus delivery Available to International Students Available to Domestic Students
Online Semester 1 This unit is available through off-campus delivery Available to International Students Available to Domestic Students
  • Key:
  • This unit is available through on-campus delivery On-campus
  • This unit is available through off-campus delivery Off-Campus
  • Available to International Students International students
  • Available to Domestic 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 22/2/2026 16/3/2026 19/4/2026 13/6/2026

* 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 2026 are indicative and subject to change. Finalised census dates for 2026 will be available from the 1st October 2025. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Analyse the problems and challenges associated with various datasets, and prepare to apply suitable methods and tools for data processing, analysis, and interpretation.
  • Adapt emerging Big Data and cloud technologies to support the building of solutions and applications.
  • Design high-performance and cloud applications to support scalable services.

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
029999 $1,192.00 $1,192.00 not applicable $2,919.00
  • Available as a Commonwealth Supported Place
  • HECS-HELP is available on this unit, depending on your eligibility3
  • FEE-HELP is available on this unit, depending on your eligibility4

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 UniConnect 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

Prerequisites

KIT107

Teaching

Teaching Pattern

On-Campus Melbourne and Sydney teaching arrangements may differ and will be advised by your teaching team.
Online teaching arrangements may differ and will be advised by your teaching team.

On-Campus enrolments in Hobart and Launceston: 

  • Lectures: 2 hrs/week
  • Tutorials: 2 hrs/week  (from week 1)
  • Self-study: 2 hrs/week (on average)

For this unit, students are expected to attend lectures and tutorial/lab classes, and to keep up to date with MyLO content.

AssessmentLab Test 1 (20%)|Lab Test 2 (25%)|Tutorial tasks (25%)|Cloud and Big Data Based Processing System (30%)
TimetableView 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.

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.