Why Bachelor of Information Technology?
Data analysts are puzzle-solvers – they explore, identify and uncover interesting patterns to create a complete picture. With 328.7 million terabytes of data created each day, data analysts with the skills to transform this into useable insights are in high demand across all sectors.
Our Bachelor of Information Technology majoring in Data Analytics covers new trends in data and the latest industry developments. You’ll focus on the lifecycle of data and explore different analytical tools and techniques used by data analysts.
Whether your interests lie in analysing social media trends, optimising supply chains, or improving healthcare outcomes – you’ll graduate with the expertise to change the way companies do business.
Overview
Our Bachelor of Information Technology majoring in Data Analytics provides you with a strong foundation in IT knowledge and principles, before introducing specialist courses in data analytics in your second year.
You will develop a strong understanding of IT concepts and systems and gain in-depth knowledge in data analytics, programming, data mining, data visualisation, database administration and statistics.
Deeply practical, you’ll put these skills to work on a major project in your final year – collaborating with industry professionals to deliver a solution for a client.
You’ll graduate with the skills to harness the power of data and provide valuable insights for businesses. Be prepared for a world of opportunities as a data analyst in various industries.
Key features
Master principles and concepts in data mining using programming languages and tools to extract value from company data. - Learn about the latest scientific advancements and data trends to increase your employability.
- Apply the data lifecycle from creation to analysis to solve real business problems.
- Gain proficiency in Python and undertaking predictive analytics on large datasets to advise policy makers and customers.
- Collaborate with industry professionals through an internship or project.
What you'll learn
This degree will set you up for a rewarding career investigating big data and its potential. First, you’ll develop core knowledge of IT principles and practices, equipping you with a solid set of skills transferable to a range of tech careers. You’ll learn about programming and data concepts and gain an in-depth understanding of data governance and privacy.
In your second and third year, you’ll explore topics in artificial intelligence for business, behavioural analytics and data taming and prediction – broadening your scope in modern analytics strategies.
Your final year will see you building important industry relationships through a capstone project. You might collaborate on a real industry business challenge and use your expertise to devise a strategy addressing an issue and providing a solution for the client.
Building professional relationships is an important part of this degree. You may also undertake an internship with an Adelaide University industry partner in your second or third year as an elective course.
Assessments for this degree include programming exercises, essays, exams, oral and supervised tests.
You’ll be able to complete the majority of first year common courses and second year courses at either our Adelaide City or Mawson Lakes Campus with some potential cross-campus study required. Throughout your degree, you’ll gain access to cutting-edge facilities across both campus locations to enhance your overall learning experience.
Majors
Did you know that you can also choose a Bachelor of Information Technology with a major in one of the following:
What courses you'll study
Complete 144 units comprising:
- 66 units for all Core courses, and
- Either:
- 48 units for one Major from Majors, or
- 48 units for Discipline courses, and
- 12 to 24 units from Work integrated learning, and
- 6 to 18 units for Electives
Complete 66 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
|
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
|
|
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
|
|
Course name
Business for IT Professionals
|
Course code
COMP3006
|
Units
6
|
|
|
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
|
|
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
|
|
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
|
|
Course name
Cloud Platforms
|
Course code
INFO2004
|
Units
6
|
|
|
Course name
Agile Development and User Experience
|
Course code
INFO2006
|
Units
6
|
|
|
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
|
|
Course name
Unstructured Data
|
Course code
INFO3003
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
 |
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
|
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
|
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
| Semester 2 | |||
|
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
|
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
|
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Unstructured Data
|
Course code
INFO3003
|
Units
6
|
|
Course name
Cloud Platforms
|
Course code
INFO2004
|
Units
6
|
|
Course name
Data Skills for Scientists
|
Course code
STAT1000
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
Course name
Agile Development and User Experience
|
Course code
INFO2006
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
| Year 3 | |||
| Semester 1 | |||
|
Course name
Behavioural Analytics and Customisation
|
Course code
COMP1010
|
Units
6
|
|
Course name
Data Governance and Privacy
|
Course code
COMP3005
|
Units
6
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
Course name
Artificial Intelligence for Business
|
Course code
ARTI3001
|
Units
6
|
| Semester 2 | |||
|
Course name
Business for IT Professionals
|
Course code
COMP3006
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
Complete 48 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Artificial Intelligence for Business
|
Course code
ARTI3001
|
Units
6
|
|
|
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
|
|
Course name
Behavioural Analytics and Customisation
|
Course code
COMP1010
|
Units
6
|
|
|
Course name
Data Governance and Privacy
|
Course code
COMP3005
|
Units
6
|
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Data Skills for Scientists
|
Course code
STAT1000
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
|
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
|
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
| Semester 2 | |||
|
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
|
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
|
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Unstructured Data
|
Course code
INFO3003
|
Units
6
|
|
Course name
Cloud Platforms
|
Course code
INFO2004
|
Units
6
|
|
Course name
Data Skills for Scientists
|
Course code
STAT1000
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
Course name
Agile Development and User Experience
|
Course code
INFO2006
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
| Year 3 | |||
| Semester 1 | |||
|
Course name
Behavioural Analytics and Customisation
|
Course code
COMP1010
|
Units
6
|
|
Course name
Data Governance and Privacy
|
Course code
COMP3005
|
Units
6
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
Course name
Artificial Intelligence for Business
|
Course code
ARTI3001
|
Units
6
|
| Semester 2 | |||
|
Course name
Business for IT Professionals
|
Course code
COMP3006
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
Complete 12 to 24 units from the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
ICT Capstone Project 1
|
Course code
INFO3901
|
Units
6
|
|
|
Course name
ICT Capstone Project 2
|
Course code
INFO3902
|
Units
6
|
|
|
Course name
ICT Internship 1
|
Course code
COMP4901
|
Units
6
|
|
|
Course name
ICT Internship 2
|
Course code
COMP4902
|
Units
12
|
|
|
Course name
ICT Internship 3
|
Course code
COMP4903
|
Units
18
|
|
|
Course name
ICT Internship 4
|
Course code
COMP4904
|
Units
24
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
|
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
|
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
| Semester 2 | |||
|
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
|
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
|
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Unstructured Data
|
Course code
INFO3003
|
Units
6
|
|
Course name
Cloud Platforms
|
Course code
INFO2004
|
Units
6
|
|
Course name
Data Skills for Scientists
|
Course code
STAT1000
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
Course name
Agile Development and User Experience
|
Course code
INFO2006
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
| Year 3 | |||
| Semester 1 | |||
|
Course name
Behavioural Analytics and Customisation
|
Course code
COMP1010
|
Units
6
|
|
Course name
Data Governance and Privacy
|
Course code
COMP3005
|
Units
6
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
Course name
Artificial Intelligence for Business
|
Course code
ARTI3001
|
Units
6
|
| Semester 2 | |||
|
Course name
Business for IT Professionals
|
Course code
COMP3006
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
Complete 6 to 18 units comprising:
- 6 to 18 units from University-wide electives
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
|
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
|
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
| Semester 2 | |||
|
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
|
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
|
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Unstructured Data
|
Course code
INFO3003
|
Units
6
|
|
Course name
Cloud Platforms
|
Course code
INFO2004
|
Units
6
|
|
Course name
Data Skills for Scientists
|
Course code
STAT1000
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
Course name
Agile Development and User Experience
|
Course code
INFO2006
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
| Year 3 | |||
| Semester 1 | |||
|
Course name
Behavioural Analytics and Customisation
|
Course code
COMP1010
|
Units
6
|
|
Course name
Data Governance and Privacy
|
Course code
COMP3005
|
Units
6
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
Course name
Artificial Intelligence for Business
|
Course code
ARTI3001
|
Units
6
|
| Semester 2 | |||
|
Course name
Business for IT Professionals
|
Course code
COMP3006
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
Career outcomes
Data is everywhere. The need for experts that can capture, analyse and make sense of the huge volumes of data being produced spans all industry sectors – from finance and healthcare to retail, education and entertainment.
You might help health care organisations gather and analyse data to predict the spread and impact of disease – maybe you’ll even predict the next pandemic. You could apply data analytics concepts to assist retail businesses better understand their customers’ behaviour and develop their next big product. Or perhaps you’ll work in entertainment, using data to help companies like Netflix recommend shows to users and decide which productions to greenlight.
IT and data analytics specialists can be found applying their knowledge and skills in a wide range of industries. Roles include:
- Data analyst
- Business data strategist
- Data visualiser
- Information analyst
- Reporting analyst.
Industry trends
As global digitisation advances at a rapid pace, a range of new roles and skills-sets are in high demand. It's predicted that employment opportunities for data analysts in Australia will grow by nearly 28% by 2028 – making it one of the nation’s most promising employment markets (Seek, 2022).
In the last decade, the amount of data created, captured, copied and consumed in the world increased by 5,000% (Forbes, 2021).
Accreditation
This program is provisionally accredited by the Australian Computer Society (ACS).
Graduates are eligible for membership with the ACS and are recognised internationally through the Seoul Accord.
Ready to apply?
Please note that a non-refundable application fee of AUD$150 applies for every application submitted to Adelaide University.
Your study experience and support
Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.
You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.
Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.
Student services
We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:
- Career advice and mentoring services
- Personal counselling
- LGBTQIA+ support
- Academic support
- Fees and finance help
- Security services
- Accommodation services
- Common rooms
- Prayer rooms.
You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.
Your campus
You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.
Study hours
Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.
Assessment
During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:
- Case studies
- Essays and assignments
- Examinations
- Group projects
- Internships and placements
- Practicals
- Presentations
- Reports and project documentations
- Research projects
- Workplace and classroom contributions.
