Bachelor Of Information Technology (Artificial Intelligence & Data Science)

Shape the future with Artificial Intelligence and Data Science

Award granted

Bachelor Degree (Pass)

Course code

CRS1401743

Delivery location

Dandenong

International

Not available for International students

Length

Full Time, 3 years. Part Time, 6 years.

Start dates

1 March, 26 July

• Read more about this course

  Course structure
  
  To complete the Bachelor of Information Technology (AI & Data Science) you must complete the 24 subjects in the Bachelor.
  
  The Bachelor of Information Technology (AI & Data Science) will require completion of 288 credit points composed of:
  • 15 core information technology subjects (180 credit points)
  • 6 core specialisation subjects (72 credit points)
  • 3 elective subjects (36 credit points)
  
  Indicative workload
  
  As an IT student, your weekly workload for each subject you enrol in is approximately 9 hours per week. This is made up of a 3-hour class (delivered hybrid) plus 6-hours personal study time. For example, if you were to study full-time, the weekly workload for this course would be 36 hours.
  
  What You'll Learn:
  Throughout the course, you will learn to:
  
  • Collect, clean, manage and analyse complex datasets
  • Develop machine learning models and AI-driven applications
  • Apply programming, statistical and data science techniques
  • Create data visualisations and communicate meaningful insights
  • Use technologies and industry-standard tools
  • Apply ethical, responsible and secure practices when working with data and AI
  • Collaborate on industry-relevant projects and solve real-world problems
  
  How You'll Learn
  
  You'll gain hands-on experience through a hybrid learning model, combining:
  • Practical Labs: Develop job-ready skills through hands-on experiences with industry-standard tools and technologies. Analyse real-world datasets, build intelligent AI solutions, and apply data science techniques to solve complex business and societal challenges.
  • Applied Assessments: Showcase your capabilities through industry-relevant projects including data exploration and visualisation, machine learning and AI model development, predictive analytics, business intelligence solutions, and professional technical reporting.
  
  Required Resources
  
  Resource
  Internet, Computer and Webcam
  
  Requirement
  Students require internet access and competent computer skills in order to craft and submit assessment tasks, maintain lines of communication, and avail themselves of online resources as required.

• Timetable

  Flexible hybrid learning model with dedicated on-campus sessions at Dandenong and convenient online classes via Zoom.

• Learning outcomes

  1. Synthesise and apply discipline-specific principles, methods and theories of information technology.
  2. Formulate research-informed solutions to real-world problems in information technology.
  3. Exemplify the technical and communication skills required to work in diverse information technology contexts both individually and as part of a group.
  4. Negotiate and integrate ethical and social issues into professional practice.
  5. Critically reflect on your own professional practice.

• Subjects - Year one

  Database FundamentalsITS103

  Semester one
  

  This subject provides students with a solid understanding of database concepts, design principles, and practical skills required for effective database management. Students will explore the fundamental components of databases, data modelling techniques, and the SQL language to design, query, and manage relational databases.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Introduction to Cyber SecurityITS104

  Semester one
  

  Introduction to Cyber Security provides students with a comprehensive overview of the principles, technologies, and practices related to cyber security. Students will develop a foundational understanding of the threats, vulnerabilities, and countermeasures used to protect computer systems, networks, and data from cyber-attacks.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Information SystemsITS101

  Semester one
  

  This subject provides students with a foundational understanding of information systems and their role in organisations. Students will explore the basic concepts, components, and processes involved in information systems, gaining knowledge of how information is collected, stored, processed, and utilised to support business operations.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Programming EnvironmentITS102

  Semester one
  

  This subject focuses on providing students with a solid foundation in programming languages, development environments, and tools. Students will learn to use various programming tools and gain practical experience in developing software solutions using industry-standard practices and methodologies.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  System and Network AdministrationITS203

  Semester two
  

  This subject focuses on the practical application of cyber security principles and techniques. Students will develop hands-on skills and knowledge to protect computer systems, networks, and data from cyber threats. They will learn about real-world scenarios, industry best practices, and relevant tools used in cyber security operations.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Math Foundations for ComputingITS202

  Semester two
  

  This subject provides students with a foundational understanding of algorithms and their applications in the field of cyber security. Students will explore various algorithmic techniques and learn how they are used to solve security-related problems, analyse data, and detect patterns in cyber systems.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Web Technologies and Full-Stack FundamentalsITS204

  Semester two
  

  Intermediate Programming builds upon the foundational programming skills and knowledge acquired in introductory programming courses. Students will further enhance their programming proficiency and problem-solving abilities by exploring advanced programming concepts and techniques. They will develop skills in writing modular and efficient code while working on real-world programming projects.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Inside Information TechnologyITS201

  Semester two
  

  This subject is designed to provide students with an in-depth understanding of database management concepts, techniques, and technologies. Students will explore advanced topics in database design, administration, and optimisation.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

• Subjects - Year two

  Cyber AlgorithmsITS302

  Semester one
  

  This subject introduces students to critical thinking, informal logic, and the foundations of formal logic. Its purpose is to provide students with the basic tools of analytical reasoning, to enable a wide variety of career and study choices. In addition, this course introduces discrete mathematics and facilitates the presentation of mathematical thinking in both succinct written form and mathematical notation.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Foundations of Data Science and AIITS301

  Semester one
  

  This subject provides students with knowledge and professional skills to administer network servers. Students learn to manage resources, including server performance. They also gain capabilities for providing access to reliable information and services in a networked server environment. This subject also develops skills to be able to identify and diagnose possible problems and troubleshoot computer network administration systems using both Windows and Linux operating systems.
  This practical "hands-on" subject will teach the essential skills of installing, using, and supporting operating systems and its administrative features.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Object Oriented ProgrammingITS303

  Semester one
  

  The subject focuses on designing and developing software systems that meet user requirements. Within this context of designing systems, students will undertake activities including requirement analysis; system modelling; architectural design, and validation.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Software Engineering and Project ManagementITS401

  Semester two
  

  Data Analytics introduces the statistical principles used to make decisions where there is variability in numerical data. It examines the contemporary software packages used to solve problems, and to communicate data that informs conclusions and supports strategic decision making.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Data Acquisition and WranglingITI304

  Semester two
  

  This subject examines the construction and workings of a range of algorithms and data structures. Students analyse the effectiveness of each data structure and algorithm for specific problems and category of problems. They also implement a wide range of structures, and algorithms studies in programs.
  It includes data structures for implementing containers, linear structures, tree structures, and hash tables. Algorithms for the insertion and deletion of elements, and algorithms for searching and sorting out these structures are also examined where appropriate. Graphs and graph algorithms are also examined.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Big Data Management and AnalyticsITI402

  Semester two
  

  This subject examines the foundations and implementation of database systems. It also introduces scripting skills and elementary programming techniques. It includes both theoretical precepts and the practical implementation of databases required by organisations. Students study the rudiments of information storage and management through the conceptual modelling of a client's requirements. Students are introduced to data normalisation techniques and tools such as SQL as well as practical issues related to security and common hacking attacks.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Visual Analytics and StorytellingITI403

  Semester two
  

  In this subject, students study the design and development of mobile application software. They study basic programming skills for application in a professional mobile applications development environment; there is a focus on usability and apps that both solve real-world problems and are for entertainment purposes.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

• Subjects - Year three

  Industry Engagement 1ITS501

  Semester one
  

  This subject introduces students to project management principles, the role of a project manager, and the roles of the project team. Students examine project management methodologies, and the key activities required to initiate and plan a project in collaboration with a commercial enterprise. The subject focuses on the initiation and planning stages of a project as well as the tools and techniques required for its successful implementation.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Introduction to Machine LearningITI404

  Semester one
  

  This subject examines the computational data science of machine learning as applicable to science, technology, the social sciences and medicine. It examines its use in products such as banner ad selection, email spam filtering, and social media newsfeeds. Students study how machine learning determines accurate, computationally efficient, interpretable and robust inferences from data. Students will examine its origins in artificial intelligence from early complex predictive models that emphasised computation through to recent developments where machine learning has grown more accessible to the public with the adoption of Generative AI and curated datasets.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Threat Intelligence and Security AnalyticsITS502

  Semester one
  

  The subject builds practical skills in cyber threat intelligence and security analytics, with a strong emphasis on using machine learning methods to detect, investigate, and respond to cyber threats. Students learn how to turn threat intelligence into actionable security work by using popular knowledge base of attacker behaviours and techniques. Students also learn how to detect threats from event records by using case study, like query-based hunting capability that uses the Kusto Query Language. The subject covers malware analysis using machine learning, anomaly detection, and how attackers may try to deceive machine learning systems, with a strong focus on sound evaluation and responsible handling of privacy and ethical issues.

  Assessment method:A combination of online quizzes, practical laboratory activities, critical thinking and problem solving exercises, individual and group projects, presentations, and examinations.

  Elective 1ELECT01

  Semester one
  

  Students can choose any subject from our Bachelor of Business (Leadership and Management), Bachelor of Engineering Technology or Bachelor of Information Technology (Cyber Security).

  Assessment method:A combination of online quizzes, practical laboratory activities, critical thinking and problem solving exercises, individual and group projects, presentations, and examinations.

  Advanced Artificial IntelligenceITI602

  Semester two
  

  This course introduces the discipline of artificial intelligence (AI). The student will explore diverse application domains where problems can benefit from AI solutions. You will develop conceptual understanding of major AI methods and know when and where to use them. In practical components, you will implement simple AI algorithms.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Industry Engagement 2ITS601

  Semester two
  

  Building on Industry Engagement 1, students examine strategies for identifying the milestones and actions required to manage an IT project in a commercial enterprise. Students examine the effective stakeholder management and collaboration skills required to work as part of a team in a commercial environment.

  Assessment method:Can include a combination of online quizzes, tutorial exercises, individual and/or group assignments, and exams.

  Elective 2ELECT02

  Semester two
  

  Students can choose any subject from our Bachelor of Business (Leadership and Management), Bachelor of Engineering Technology or Bachelor of Information Technology (Cyber Security).

  Assessment method:A combination of online quizzes, practical laboratory activities, critical thinking and problem solving exercises, individual and group projects, presentations, and examinations.

• Admission requirements

  Applicants with recent secondary education (within the past two years)
  • Completion of Australian Year 12 or equivalent (no minimum ATAR required).
  
  Applicants with vocational education and training (VET) study A completed Certificate IV or above
  Students entering with a completed Diploma will enter the second year of the Degree.
  
  Applicants with higher education study
  • A complete or incomplete higher education qualification
  
  Applicants with work and life experience
  • A minimum of 3 years full-time (or part-time equivalent) work experience in a relevant industry
  • Have short course or work-based learning, or other applicable life experience.
  
  Inherent Requirements
  
  Purpose
  
  Inherent course requirements are the essential components of a course that are required to support participation, learning, assessment, and demonstration of the learning outcomes. They reflect the core
  abilities, knowledge, skills, and professional behaviours necessary to successfully complete the course.
  
  Scope
  These inherent course requirements apply to all students enrolled in the course, across all modes of delivery (on‑campus, online, blended), and all learning, assessment, simulated, and work‑integrated learning
  environments, including placements where applicable.
  
  Inherent course requirements are distinct from Academic, English language and Course specific admission requirements.
  
  Reasonable Adjustments and Equity Statement
  Chisholm Institute is committed to inclusive education and equitable participation. Students may meet inherent course requirements with reasonable adjustments, provided such adjustments do not compromise
  academic integrity, fundamentally alter learning outcomes, or undermine professional, safety, or accreditation standards. Students are encouraged to engage early with Chisholm Equitable Learning and Disability Support to discuss adjustment needs.
  
  Our 'How to meet the inherent requirements' document provides further guidance on meeting these requirements. This document can be downloaded from the course description above.

  Inherent requirements

  Our inherent requirements are a guide to help you decide if a course is right for you.

  If you are a student with a disability, long-term illness, mental health condition or are a primary carer of an individual with a disability, you can apply for support through our Equitable Learning and Disability Support team.

  Reasonable Adjustments
  Students with a disability or health condition are encouraged to contact Chisholm’s accessibility or student support service. Reasonable adjustments to support full and equal participation are available but must not compromise the academic integrity or safety standards of the course.
  Acknowledgement
  Students are required to review and consider their understanding and ability to meet the inherent requirements of the course at the point of enrolment and prior to undertaking placement.
  
  Students must have access to a computer/laptop and the internet to support personal study time.

• Practical placement

  Across two third year subjects, students will participate in work integrated learning, where you will examine strategies for identifying the milestones and actions required to manage an IT project in a commercial enterprise.

• Course pathways

  Nationally recognised training	Certificate IV In Information Technology	Diploma of Information Technology	Certificate IV in Cyber Security	Bachelor Of Information Technology (Artificial Intelligence & Data Science)
  Possible job outcome	help desk officer support web designer network support technician	IT Security Analyst	cyber security specialist	applications developer Data Scientist analyst programmer analyst business analyst

• Fees

  Commonwealth Supported Place (CSP)
  Total Course Cost $17,640
  
  Total course cost is indicative based upon the 2027 fee schedule. Any increase in fees for subsequent years is not included in this value.
  Please refer to the 2027 Schedule of CSP Fees PDF for the fee per unit breakdown.
  
  Full Fee Paying Place
  
  Total course cost is $50,616.
  
  Total course cost is indicative based upon the 2027 tuition fee. Any increase in fees for subsequent years is not included in this value. Indicative annual tuition fees of $16, 872. Indicative fees are based upon a student enrolling in 100% full time study load and does not reflect if subjects are repeated or advanced standing is granted.

• Help with fees

  FEE-HELP for full-fee paying students

  At Chisholm, you can get a FEE-HELP loan to help you pay for all or part of the tuition fees for this degree course. Find out more about using FEE-HELP to study now and pay later.

  HECS-HELP for Commonwealth Supported Place students

  HECS-HELP is a loan from the Australian Government that you can use to pay your student contribution amount. Find out more about using HECS-HELP to study now and pay later.

  Please refer to the 2026 Schedule of CSP Fees for the fee per unit breakdown.

• Advanced standing

  Your current skills, knowledge and experience can help you get a qualification.

  Find out about skills recognition and RPL for certificate to advanced diploma courses.

  Find out about advanced standing for graduate certificate and bachelor degree courses.

This course is accredited by the Tertiary Education Quality and Standards Agency (TEQSA) and aligned to Australian Qualification Framework (AQF) Level 7.