Bachelor of Information Technology,
Specialisation in Business and Data Analytics

CRICOS Course Code: 114970B

In today’s digital economy, organisations generate enormous volumes of data – but the real competitive advantage comes from professionals who know how to turn that data into insight and strategic decisions

The Business and Data Analytics Specialisation within the Bachelor of Information Technology prepares students to bridge the gap between technology and business decision-making. Students develop the technical, analytical, and strategic skills required to transform complex data into actionable insights that drive organisational performance.

This specialisation combines strong foundations in data analytics, statistics, and information systems with advanced subjects focused on business intelligence, predictive analytics, and decision support systems. Students learn how organisations use data to improve efficiency, identify opportunities, and solve real-world business challenges.

Graduates from this specialisation are equipped to work in roles where technology, analytics, and business strategy intersect.

AQF level : 7

SHEA’s partnership with the Australian Computer Society (ACS) allows each student free membership to ACS. Each student will have access to over 35000 learning resources, 400 professional events, the chance to be professionally mentored and access to insights into the tech industry.

The course has been designed to be a 3-year full-time or equivalent part-time course comprised of 22 core subjects, including the choice of 2 electives in the final year of study. The academic year is comprised of three trimesters each of 12 weeks duration with a typical full-time delivery format of three subjects in trimester one, three subjects in trimester two and two subjects in trimester three.

Graduates of the Bachelor of IT will be able to:
CLO1	Appraise technical and theoretical concepts and frameworks to manage IT problems and challenges ethically and sustainably
CLO2	Critically review, analyse, and synthesise IT knowledge, methodologies, and approaches to support innovation and competitive advantage
CLO3	Communicate relevant knowledge and ideas effectively and efficiently to a range of audiences.
CLO4	Demonstrate initiative and informed judgement in IT planning, problem-solving and decision making.
CLO5	Apply a broad understanding of IT knowledge and technical skills with depth in some areas to solve real-world lT problems.
CLO6	Work in collaboration with others to adapt knowledge and skills in diverse contexts through responsible and accountable IT professional practice.

Graduates specialising in Business and Data Analytics can pursue careers such as:

Data Analyst
Business Intelligence Analyst
Data Analytics Consultant
Business Systems Analyst
Digital Strategy Analyst
Data-Driven Product Manager
Decision Support Analyst

These roles are increasingly critical across industries including finance, healthcare, government, technology, logistics, and consulting.

The mode of delivery is face-to-face, supported by SHEA’s Learning Management System for access to subject-specific learning resources and information, including submitting assessments. Moodle will be the LMS for delivering the learning strategy to engage interactively with students using the digital tools anytime and anywhere to augment their classroom experience.

The assessment types in the course are predominantly authentic assessments with some traditional assessments for knowledge-based subjects in the first year:

Problem-based tasks (either individually or team)
Case studies
Presentations
Report
Peer and self-assessment (moderated)
Quizzes (used well can keep students engaged, formative assessment because quizzes are easy to administer and provide feedback)
Project (individual and in teams)

The subjects highlighted below show the pathway for a specialisation in artificial intelligence

Subject code	Subject title
Year 1
Trimester 1
ITOP501	Computing Systems Fundamentals
PROF502	Ethics and the IT Professional
SCTY503	Cybersecurity Concepts
Trimester 2
PROG504	Programming Principles
PROF505	Analytical and Critical Thinking
DATM506	Statistics and Linear Algebra
Trimester 3
DATM507	Introduction to Databases
DATM508	Network Communications
Year 2
Trimester 4
ITOP601	Enterprise Architecture
PROG602	Web and mobile application development
DATM603	Data Analytics for Business Applications
Trimester 5
DATM604	Data Science and Visualisation
DATM605	Data Structures and Algorithms
SYSP606	Systems Analysis and Design
Trimester 6
ITMG607	Integrated Systems Technology and Cloud Computing
PROF608	Contemporary Topics in IT
Year 3
Trimester 7
PRMG701	Project Management
HCEV702	User Experience Design
Elective 1 Refer to Table of Electives below
Trimester 8
DATM703	Digitisation and Big Data
NTAS704	Network Solutions
PROF709	The IT Professional (Capstone Part A)
Trimester 9
PROF710	The IT Professional (Capstone Part B)
Elective 2 Refer to Table of Electives below
Total	144
Choose two electives from the following list:
Applied Predictive Analytics for Business
Business Intelligence & Decision Support Systems

ADMISSION REQUIREMENTS

Mode of Delivery

On Campus

We focus on learning and teaching delivery method where students will be required to engage in the subject content prior to classes and tutorials so that the face-to-face engagement can be used to develop higher-order skills such as interpersonal skills and teamwork.

On campus
A mix of online tools through the Learning Management System to subject-specific learning resources and information including submitting assessments
Out-of-class activities to engage students throughout their course.

CREDIT FOR PRIOR LEARNING

Skyline Higher Education Australia (SHEA) grants credit towards a course of study on the basis of prior learning, whether from formal studies or professional work experience to ensure that students commence study at a level appropriate to their prior learning experiences so that they are not required to repeat prior learning. For more information please visit SHEA’s Credit For Prior Learning Policy and Articulations