IT Masters Big Data

Welcome to Big Data, a comprehensive 4-week course designed to provide you with a solid foundation in Big Data concepts, technologies, and applications. This course is perfect for IT professionals, data enthusiasts, and anyone interested in harnessing the power of Big Data.

Throughout the course, you will explore fundamental topics such as Big Data types and distributed computing. You will delve into the Big Data technology stack, understanding how virtualization and cloud technologies integrate within this ecosystem. The course also highlights the critical role of Big Data analytics in cybersecurity, covering essential techniques for threat detection, network monitoring, and security management through real-world case studies. Additionally, you will tackle the four main challenges of Big Data—Volume, Velocity, Variety, and Veracity—learning strategies to manage and overcome them.

Join us in this engaging and practical journey to unlock the potential of Big Data and drive innovation in your organisation.

Enrol Here

Use the form below to enrol in this short course, once submitted you will receive a signup email with login details for our learning site.

 

Course Schedule

 

In this topic we discuss some of the fundamental concepts of Big Data, including:

  • Big Data Fundamentals
  • Big Data Types
  • Distributed Computing

Webinar: Thursday 1 August 2024 7:30 PM (Sydney Time)

In this topic we will examine the various components of the Big Data Technology Stack. We will discuss how virtualization and “the cloud” fit within the Big Data environment. Topics include:

  • Big Data Technology Components
  • Virtualization
  • Big Data in the Cloud

Webinar: Thursday 8 August 2024 7:30 PM (Sydney Time)

In this topic, we will explore how Big Data analytics is leveraged to enhance cybersecurity. This includes detecting threats, monitoring networks, and improving overall security management. Topics include:

  • Introduction to Cybersecurity and Big Data
  • Real-time Network Monitoring and Anomaly Detection
  • Case Studies: Big Data in Cybersecurity
  • Tools and Techniques for Big Data Cybersecurity Analytics

Webinar: Thursday 15 August 2024 7:30 PM (Sydney Time)

In this topic we will examine the four main challenges with Big Data.

  • Volume: Storing and processing of huge amounts of data.
  • Velocity: Speed and rate of change of data that is in the “system”.
  • Variety: Types of data that is to be analysed.
  • Veracity: Ensuring integrity and quality of data.

Webinar: Thursday 22 August 2024 7:30 PM (Sydney Time)

 

  • Exam pass mark: 50%
  • Time limit: 1 hour
  • Attempts allowed: One
  • Format: 40 Multiple choice questions

Course Information

 

Who will present the webinars?

Matt Constable will be your facilitator for this short course.

Matt is a lifelong learner with degree qualifications in Computing, Psychology and Exercise Science, and Masters’ qualifications in Computer Security and Exercise Physiology. He is also currently pursuing a PhD in Sports Biomechanics. A 30-year veteran of the IT industry, he has extensive experience across a variety of areas including network engineering, cyber security, Voice over Internet Protocol (VoIP), contact centre and wireless technologies. He has been employed in various public and private sector enterprises as both a customer and an integrator/service provider. At various times, he has held professional level certifications with numerous vendors including Cisco, Juniper, Checkpoint, ISC2, Novell, Microsoft, SANS, F5 & Radware.

Matt has been an Adjunct Lecturer at Charles Sturt University since 2007, developing and teaching subjects in the IT Masters programs.

 

What is the aim of this short course?

This short course aims to provide students with an understanding of Big Data and its transformative impact on various sectors. Topics will explore the fundamental concepts, technological foundations, and real-world applications of Big Data analytics. By the end of the course, students will have gained some of the skills needed to utilise the power of Big Data to assist decision-making, enhance cybersecurity management practices, and address the challenges posed by large-scale data environments.

The course will blend theoretical knowledge with practical insights, leveraging tools like Splunk to illustrate key principles and techniques. Through a combination of online lectures, case studies, hands-on demonstrations, and a final exam, students will be ready to  apply Big Data analytics in their professional roles.

This course is relevant to professionals looking to expand their expertise in Cyber Security Fundamentals Subject (ITI581) which is a core foundation subject in the Master of Cyber Security. As well as subjects like:

 

What is included?

In addition to the weekly interactive webinars, you will be provided with suggested reading materials, audio lectures, an active discussion forum and a weekly activity to complete.

 

Is there a final exam?

Yes — the short course exam will be a timed, open-book exam that you will sit at your computer.

 

Do I get a completion certificate if I complete the course?

Yes — provided you receive a pass mark (50% or over) for course assessment, which comprises the exam and any available participation marks.

 

Are there any prerequisites for the course?

No — you can sit this short course all by itself, but if you’re new to the concepts listed in the course structure it may be beneficial to complete some of our other beginner level cyber security short courses first like IT Basics 1 or IT Basics 2.

 

Will the course qualify me for university credit?

Yes — successful completion of three or more of our short courses will qualify you for one credit for an industry elective subject in our postgraduate courses. Click here for further details.

 

Will I need to purchase any study materials to complete the course?

No — all essential materials will be supplied.

 

Will the webinars be recorded?

Yes — all webinars are recorded and you will be able to access them, and all other free course materials, by registering for the course.

 

Am I Eligible to Study
a Post Graduate Course?

Industry experience and previous studies all contribute towards your eligibility. You do not necessarily have to have an undergraduate degree to study.