Data Science and Innovation

The Bachelor of Data Science and Innovation at the University of Technology Sydney is a comprehensive undergraduate program designed to equip students with the essential skills and knowledge needed to thrive in the rapidly evolving world of data-driven decision making. This interdisciplinary degree combines core concepts of data analysis, computer science, statistics, and innovative problem-solving methodologies to prepare graduates for diverse careers in data science, analytics, and technological innovation. Throughout the program, students will gain proficiency in programming languages such as Python and R, develop a deep understanding of data management and visualization techniques, and learn how to extract actionable insights from complex datasets. The curriculum emphasizes practical experience through industry placements, real-world projects, and collaborative initiatives, fostering an applied learning environment that addresses contemporary challenges in various sectors including finance, healthcare, government, and commerce. Students will also explore emerging areas such as artificial intelligence, machine learning, and ethical considerations in data science, ensuring they stay at the forefront of technological advancements. The program is designed to cultivate critical thinking, innovative problem-solving, and effective communication skills, enabling graduates to contribute meaningfully to their fields and to society. With access to state-of-the-art facilities and strong links to industry partners, students are well-positioned to build a network in the tech community and secure employment upon graduation. Upon completion of the Bachelor of Data Science and Innovation, graduates will be prepared to pursue careers as data analysts, data engineers, business intelligence experts, or further study in specialized postgraduate programs. The university’s commitment to research-informed teaching and industry collaboration ensures that students receive an education that is both current and relevant. Overall, this program aims to develop versatile, innovative, and ethically responsible data professionals capable of leading the digital transformation across various industries.

Year 1

• Data Science for Innovation
• Statistical Thinking for Data Science
• Data, Algorithms and Meaning
• Select 12 credit points from the following:
• Electives (Data Science and Innovation)
• iLab 1

Year 2

• Project Managing Data Driven Solutions
• Data Visualisation and Narratives
• Data Driven Decision Making
• Select 12 credit points from the following:
• Electives (Data Science and Innovation)
• iLab 2

• Successful completion of at least one full-time year at bachelor's degree level at a recognised university or tertiary institution.
• Previous qualifications should be in one of the following areas: mathematical sciences; computer science; physics and astronomy; engineering; accounting; banking, finance and related fields; economics and econometrics. If academic qualifications are not in these fields, the applicant must provide evidence of prior learning and demonstrated capability with quantitative data skills, key mathematical concepts and programming experience.
• A minimum of three years professional/industry experience or a demonstrated equivalent is also required.
• The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184
• Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

AUSTRALIA AWARDS SCHOLARSHIPS

Managed by the Australian Government‘s Department of Foreign Affairs and Trade (DFAT), these scholarships help students gain tertiary qualifications that will allow them to contribute to the development needs of their home countries.

ENDEAVOUR POSTGRADUATE SCHOLARSHIPS

Funded by the Department of Education and Training, Endeavour Postgraduate Scholarships offer funding for highachieving international students who have been accepted to study a Master’s or PhD at UTS. You must gain admission to UTS before applying for this scholarship and must be from a partner country with links to the Endeavour Program.

UTS INTERNATIONAL ACADEMIC EXCELLENCE SCHOLARSHIP

UTS International is offering scholarships for commencing international students enrolling in postgraduate coursework programs in 2016. These are awarded solely on
the basis of academic merit. All international students commencing a postgraduate coursework program in 2016 will be automatically considered for these scholarships. They are valued at A$2,000, to be credited towards the first semester’s tuition fees.

The Bachelor of Science in Data Science and Innovation at the University of Technology Sydney (UTS) is a comprehensive undergraduate program designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of data science. This program focuses on providing a solid foundation in data analytics, computational methods, and innovative problem-solving techniques. Throughout the course, students engage with a curriculum that combines theoretical understanding with practical application, enabling them to analyze complex data sets, develop algorithms, and utilize emerging technologies such as machine learning and artificial intelligence.

The program emphasizes a multidisciplinary approach, integrating principles from computer science, statistics, and business to prepare graduates for diverse roles across industries. Students will gain hands-on experience through project-based learning, internships, and collaborations with industry partners, ensuring they are workplace-ready upon graduation. The curriculum also addresses ethical considerations in data use, privacy concerns, and the societal impacts of data-driven decision-making, reflecting UTS’s commitment to responsible innovation.

Graduate opportunities include careers in data analysis, data engineering, AI development, consulting, and innovation management. UTS maintains strong connections with industry leaders, providing students with networking opportunities and exposure to real-world challenges. The program is designed to adapt to technological advances, incorporating the latest tools and methodologies. Overall, the Bachelor of Science in Data Science and Innovation at UTS aims to produce versatile professionals capable of leading data-driven initiatives and driving innovation in a data-centric world.