Data Science

The Bachelor of Data Science at Queensland University of Technology is a comprehensive undergraduate program designed to equip students with the essential skills and knowledge required to extract meaningful insights from complex data sets. This degree program combines the core principles of computer science, statistics, and domain-specific knowledge to prepare graduates for the rapidly evolving field of data science. Throughout the course, students will engage with a diverse curriculum that covers data analytics, machine learning, data visualization, programming languages such as Python and R, and database management. The program emphasizes practical experience through industry projects, internships, and collaborative research, ensuring that graduates are well-prepared for the workforce. Students will learn how to collect, analyze, interpret, and communicate data-driven insights to solve real-world problems across various sectors including business, healthcare, government, and technology. The program also offers opportunities for specialization in areas such as artificial intelligence, big data, and data engineering, depending on student interest. With cutting-edge labs and state-of-the-art technology, students gain hands-on experience in managing large-scale data systems and implementing analytical solutions. The Bachelor of Data Science aims to develop not only technical expertise but also critical thinking, problem-solving skills, and ethical considerations related to data privacy and security. Graduates of this program will be prepared for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst, among others. The Queensland University of Technology’s strong industry connections and focus on employability ensure that students are meeting the demands of the modern data-driven economy. Upon completion of the degree, graduates will be equipped to contribute effectively to data-related challenges and innovations across various organizations and sectors, driving informed decision-making and technological advancement.

The Bachelor of Data Science at Queensland University of Technology (QUT) offers a comprehensive and innovative curriculum designed to equip students with the skills and knowledge necessary to excel in the rapidly growing field of data analysis and interpretation. This program provides a strong foundation in statistical methods, computer science, and domain-specific knowledge, enabling graduates to turn complex data into actionable insights across various industries such as healthcare, finance, government, and technology.

Throughout the course, students will engage with core topics including data management, programming, machine learning, data visualization, and ethical considerations in data use. The program emphasizes practical, hands-on learning through industry projects, internships, and collaborative activities, ensuring that students gain real-world experience and develop critical problem-solving skills. The curriculum is structured to progressively build expertise, starting with foundational mathematics and programming, advancing to more complex topics like predictive analytics, big data technologies, and artificial intelligence.

The program also focuses on developing strong communication skills, enabling graduates to effectively present findings and influence decision-making processes within organizations. Students learn to work with various data tools and software such as R, Python, SQL, and Tableau, preparing them for employment in diverse sectors.

QUT’s Bachelor of Data Science encourages an interdisciplinary approach, integrating knowledge from computer science, statistics, and domain-specific fields to solve complex data-driven problems. The program aims to produce graduates who are not only technically proficient but also ethically aware, capable of managing data responsibly and understanding the societal implications of their work.

Graduates of this program will be well-positioned for careers as data scientists, data analysts, business intelligence analysts, machine learning engineers, and other roles involved in the data lifecycle. With access to QUT’s strong industry connections and support services, students are prepared to meet the demands of the evolving data economy and contribute to innovative solutions that impact business, government, and society at large.

• English, or Literature, or English and Literature Extension, or English as an Additional Language (Units 3 & 4, C)
• Mathematical Methods (Units 3 & 4, C).QUT Offer Guarantee: If you attain an ATAR/QUT selection status of 87.00 or higher (including any alterations ) and fulfilled all the entry requirements, you're guaranteed an offer with this class.

The Queensland University of Technology offers various financing options for students enrolled in the Bachelor of Data Science program. Tuition fees for domestic students are regulated by the Australian government, and as of the latest academic year, domestic students can expect to pay approximately AUD 9,000 to AUD 11,000 per year for undergraduate programs. International students' tuition fees are higher, typically ranging from AUD 35,000 to AUD 40,000 annually. These fees cover coursework, access to university facilities, and certain student support services.

Students have access to a range of financial assistance programs, including Commonwealth-supported places for domestic students, enabling eligible students to pay a subsidized amount of their tuition fees, significantly reducing the financial burden. Additionally, students can apply for government loans such as HELP (Higher Education Loan Program), which allows the deferral of tuition fees until income reaches a specified threshold after graduation. The QUT offers scholarships based on academic merit, financial need, or community service, which can significantly offset tuition costs and living expenses. These scholarships are available at various levels of study and are highly competitive.

Students are encouraged to explore external funding options, including bursaries, grants, and sponsorships from private organizations and industry partners. Many students also finance their studies through part-time employment, with QUT providing resources and job assistance services to help students find suitable work opportunities both on and off campus.

Living costs in Brisbane, where QUT is located, are an important consideration, with estimates suggesting approximately AUD 19,000 to AUD 24,000 per year for accommodation, food, transportation, health insurance, and personal expenses. Students should budget accordingly and consider their financial situation when planning their studies abroad or domestically.

For students planning their finances, it is recommended to consult the official QUT website or contact the university’s admissions and financial aid offices to obtain the most current and tailored information regarding tuition fees, scholarships, and available funding options. The university also provides financial planning workshops and advisory services aimed at helping students manage their budgets effectively throughout their course of study.

The Bachelor of Data Science at Queensland University of Technology (QUT) is a comprehensive undergraduate program designed to equip students with the essential skills and knowledge required to analyze and interpret complex data sets. The program combines theoretical foundations in mathematics, statistics, and computer science with practical applications in data analysis, machine learning, and artificial intelligence. Students will learn how to apply their skills across various industries, including finance, healthcare, marketing, and government, addressing real-world problems with data-driven solutions. The curriculum emphasizes programming languages such as Python and R, data management techniques, and visualization tools to communicate insights effectively. Throughout the course, students will undertake hands-on projects, internships, and collaborative tasks to enhance their technical expertise and teamwork skills. The program prepares graduates for careers as data analysts, data scientists, business intelligence analysts, and analytics consultants. It aims to develop critical thinking, problem-solving abilities, and ethical considerations related to data handling and privacy. The program is designed to keep pace with the rapidly evolving technology landscape, offering opportunities for specialization in areas like artificial intelligence, big data, and predictive analytics. Graduates of the Bachelor of Data Science will be well-positioned to contribute to digital transformation initiatives and help organizations leverage data as a strategic asset. The program's strong industry connections and focus on real-world applications ensure that students gain valuable insights and networking opportunities, facilitating their transition into the workforce upon graduation.