Data Science

Data Science at Queensland University of Technology offers a comprehensive and innovative program designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data analytics and computational science. This degree provides a multidisciplinary approach, combining foundational concepts in computer science, mathematics, and statistics with practical applications across diverse industries. Students will learn how to extract meaningful insights from large and complex datasets, develop predictive models, and utilize advanced tools and programming languages such as Python, R, and SQL. The program emphasizes hands-on learning through project-based coursework, internships, and collaborations with industry partners, ensuring graduates are ready to meet the demands of the modern data-driven economy. Students will explore core topics including data mining, machine learning, artificial intelligence, data visualization, and database management, while also gaining an understanding of ethical considerations and data privacy issues. The curriculum is designed to foster critical thinking, problem-solving skills, and innovation, preparing students for careers as data scientists, data analysts, machine learning engineers, and business intelligence specialists. With access to state-of-the-art laboratories and research centers, students have ample opportunities to engage in cutting-edge research and real-world projects. The program also offers pathways for further study, including honours and research degrees. Graduates of the Queensland University of Technology’s Data Science program will be well-positioned to contribute to various sectors such as finance, healthcare, government, marketing, and technology companies, where data-driven decision making is at the forefront. The university's strong industry links and supportive academic environment ensure students receive personalized mentorship and career guidance, fostering professional growth and success in the competitive global marketplace.

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 to succeed in the rapidly evolving field of data science. This program offers a blend of theoretical foundations and practical applications, ensuring graduates are well-prepared to analyze complex data sets, derive meaningful insights, and support data-driven decision-making across various industries. Throughout the course, students will explore topics such as statistical analysis, machine learning, programming, data visualization, and data management. The curriculum emphasizes hands-on experience through real-world projects, internships, and industry collaborations, fostering a deep understanding of current tools and techniques used in the profession. In addition to technical skills, students will develop critical thinking, problem-solving abilities, and effective communication skills to translate data insights into strategic business solutions. The program also covers ethical considerations and societal impacts of data usage, preparing students to handle data responsibly. By completing this degree, graduates will be competent in working with large data sets, employing algorithms to uncover patterns, building predictive models, and presenting data insights convincingly to diverse audiences. The Bachelor of Data Science at QUT is ideal for those interested in a challenging, dynamic career that combines technology, statistics, and business knowledge. With access to state-of-the-art laboratories, industry partnerships, and a vibrant academic community, students will gain a competitive edge in the growing global data economy. Upon graduation, students will be equipped to pursue careers in data analysis, data engineering, business intelligence, artificial intelligence, and more, contributing significantly to their chosen industries 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 (QUT) offers various options for financing studying a degree in Data Science. International students can explore scholarships such as the Asian Scholarships or QUTias Scholarships, which provide financial assistance based on academic merit and other criteria. Domestic students may benefit from government assistance programs including HECS-Help, which allows eligible students to defer their tuition fees through the Australian government. Additionally, they can apply for various scholarships offered directly by QUT, such as the QUT Vice-Chancellor’s Scholarship, aimed at outstanding students demonstrating academic excellence and leadership potential. Students are encouraged to explore external funding sources as well, including state and federal government grants or private organizations offering scholarships for students pursuing degrees in technology and data-related fields. Payment plans are also available for eligible students, enabling them to spread their tuition costs over manageable installments throughout the academic year. Part-time work opportunities are accessible for students, helping them to supplement their income while studying. QUT’s location in Brisbane provides access to numerous part-time employment options in the technology sector, retail, and other industries. International students should consider additional financial planning, including health cover and living expenses, which can be managed through student allowances or part-time work. The university maintains transparent information on tuition fees, which vary depending on the program level and student residency status. It is recommended that prospective students contact the university’s Student Financial Services for personalized advice on financing options and how to access available funding programs. Overall, studying Data Science at QUT is made more accessible through a combination of scholarships, government aid, internal payment plans, and part-time employment opportunities, all designed to support students financially throughout their educational journey.

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 to analyze and interpret complex data sets, develop algorithms, and apply data-driven solutions across various industries. The program emphasizes both theoretical foundations and practical applications, preparing graduates for careers in data analysis, artificial intelligence, machine learning, and business intelligence. Students engage with a curriculum that covers core areas such as statistics, computer programming, data management, and visualization, alongside advanced topics like predictive modeling and big data analytics. The program integrates hands-on learning through workshops, collaborative projects, and internships, enabling students to gain real-world experience and build professional networks. QUT’s strong industry connections facilitate opportunities for placements and industry projects that enhance employability. The program also promotes ethical considerations in data science, including privacy, security, and responsible data handling. Upon graduation, students are well-prepared for roles in various sectors including finance, healthcare, government, and technology companies. QUT supports students with modern facilities, access to emerging technologies, and dedicated academic support to foster innovation and critical thinking. The Bachelor of Data Science aims to produce versatile graduates capable of solving complex problems and contributing to technological advancements. The duration of the program is typically three years, full-time. Admission requirements generally include a solid background in mathematics and programming, with additional criteria set by QUT. Graduates of this program are often sought after by employers due to their strong analytical capabilities and practical experience gained during their studies.