Information Technology (Big Data and Analytics)

The Bachelor of Information Technology (Big Data and Analytics) at Federation University Australia is a comprehensive degree designed to equip students with the essential skills and knowledge necessary to excel in the rapidly evolving field of data science and analytics. This program focuses on providing a strong foundation in information technology, with a specialized emphasis on big data management, data analysis, and the application of advanced analytical tools and techniques. Throughout the course, students will learn about the principles of data collection, storage, and processing, as well as how to interpret complex datasets to derive meaningful insights that support decision-making processes across various industries.

The curriculum integrates theoretical understanding with practical skills, ensuring students are adept at using contemporary data analysis software and programming languages such as Python, R, and SQL. Students will explore topics including database systems, data warehousing, machine learning, data visualization, and cloud computing, preparing them for the challenges of big data environments. The program also emphasizes the ethical considerations and privacy issues associated with data handling, fostering responsible and secure data practices.

Collaborative projects and industry placements are integral components of the degree, providing real-world experience and opportunities to work on live projects alongside professionals. This approach not only enhances technical proficiency but also develops critical thinking, problem-solving, and communication skills vital for a successful career in data analytics. Graduates of this program are well-positioned for employment in a wide range of sectors including finance, healthcare, government, technology, and retail, where data-driven decision-making is fundamental.

By combining core information technology education with specialized training in big data and analytics, the Bachelor of Information Technology (Big Data and Analytics) at Federation University Australia aims to produce highly skilled graduates who can effectively analyze large datasets, generate insights, and contribute to organizational success in an increasingly digital world. The program is suitable for students passionate about technology, data, and innovation, seeking a career at the forefront of the data revolution.

This System holds Professional Level accreditation with the Australian Computer Society (ACS). Students can be awarded the SAS? Undergraduate joint certification application in Statistics Analytics and Visualization on successful conclusion of these necessary courses.

• Year 12 - Prerequisites Units 3 and 4: a study score of at least 20 in any English
• ATAR. Non Year 12 - Past higher education studies with results at a pass degree, for example any'single areas of study', or effective completion of a tertiary preparatory program such as the Federation University Foundation Access Studies Program (FAST)
• Successful completion of a related VET qualification at Certificate III level or higher
• Applicants that haven't completed secondary education, or undertaken any TAFE or university documents should include a personal statement outlining all relevant experience to fortify their application. Academic IELTS using an Overall score of 6.0, with no band less than 5.5equal.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Funding options for the Bachelor of Information Technology (Big Data and Analytics) at Federation University Australia include a range of scholarships, government funding schemes, and external financial aid opportunities. Domestic students enrolled in this program may be eligible for Commonwealth-supported places, which significantly reduce tuition costs compared to full fee-paying options. Eligible students can apply for HELP (Higher Education Loan Program) loans, including FEE-HELP, to cover tuition fees on a deferred basis, repaid through the taxation system after graduation once income exceeds the repayment threshold. International students are required to pay full tuition fees upfront or through a payment plan; however, they may explore scholarship opportunities offered specifically for international students by Federation University Australia or external organizations. The university offers various scholarships based on academic achievement, financial need, or demographic criteria, which can substantially offset study costs. These scholarships are competitive and require an application submission typically at or before enrollment. Additionally, students are encouraged to seek external funding sources such as government grants, industry sponsorships, or scholarships from private foundations that support studies in information technology and data analytics. Employment during studies is also a viable option, with part-time work available on or near campus, and some programs offer industry placements that may include stipends or financial support. The university provides financial counseling services to assist students in planning their financing options throughout their course of study. Overall, students have multiple avenues to fund their education, from government-supported loans and subsidies to scholarships and employment opportunities, ensuring that financial barriers are minimized for eligible students pursuing their degree in Big Data and Analytics.

The Bachelor of Information Technology (Big Data and Analytics) at Federation University Australia is a specialized undergraduate program designed to equip students with the skills and knowledge necessary to analyze large data sets and derive meaningful insights. The program focuses on the rapidly growing field of big data, covering core areas such as data mining, machine learning, data visualization, and statistical analysis. It prepares graduates for careers in data science, business intelligence, and information analysis, where the ability to handle vast amounts of data and extract value is crucial.

Throughout the course, students engage in practical projects and industry placements that provide real-world experience in handling big data environments. The curriculum emphasizes both technical proficiency and strategic thinking, enabling graduates to develop and implement data-driven solutions for complex problems across various sectors such as healthcare, finance, government, and technology. Additionally, the program covers essential topics such as database management systems, programming languages like Python and R, cloud computing platforms, and ethical considerations in data handling.

Federation University’s approach combines theoretical foundations with practical skills, ensuring students are well-prepared to meet current industry demands. The program also offers opportunities for interdisciplinary learning and collaboration with industry partners, enhancing employability upon graduation. Graduates of this degree are positioned to pursue roles such as data analyst, data scientist, business analyst, or big data engineer.

The program is designed to be completed over three years of full-time study. Entry requirements typically include a relevant high school certificate or equivalent qualification, with proficiency in mathematics recommended. The university supports diverse learning needs through flexible study options and various support services. Upon graduating, students receive an industry-recognized qualification that aligns with the dynamic and expanding field of big data analytics.