Master of TESOL and Applied Linguistics (Extension)
The Master of TESOL and Applied Linguistics (Extension) program at UTS is a prestigious...
Bachelor of Engineering Science in Data
Sydney
INTAKE: February
Program Overview
The Bachelor of Engineering Science in Data program at UTS is designed to equip students with the knowledge and skills required to work at the intersection of engineering principles and data science. This program integrates foundational engineering concepts with cutting-edge data analytics techniques, preparing graduates for careers in data-driven industries such as technology, finance, healthcare, and more.
Curriculum: The curriculum of the Bachelor of Engineering Science in Data program includes core courses in mathematics, statistics, computer science, and engineering fundamentals. Students study topics such as data analysis, machine learning, artificial intelligence, data visualization, database systems, and software development. The program emphasizes hands-on learning through practical projects, industry placements, and access to state-of-the-art data analytics tools and technologies.
Research Focus: UTS emphasizes a research-focused approach within the Bachelor of Engineering Science in Data program. Students have opportunities to engage in research projects that explore advanced topics in data science, including big data analytics, predictive modeling, data-driven decision-making, and optimization algorithms. Research activities are integrated into coursework, allowing students to apply theoretical knowledge to real-world data challenges.
Industry Engagement: The program fosters strong ties with industry partners including technology companies, financial institutions, healthcare organizations, and government agencies. Through internships, industry placements, and collaborative projects, students gain practical experience and insights into professional practices in data engineering and analytics. This industry engagement enhances students' employability and prepares them for leadership roles in data-driven industries.
Global Perspective: UTS promotes a global perspective within the Bachelor of Engineering Science in Data program through international collaborations, study abroad opportunities, and partnerships with global technology firms. Students have the opportunity to study international trends in data science, participate in global hackathons and data competitions, and collaborate with peers from diverse cultural and academic backgrounds. This global exposure prepares graduates to work in multinational corporations, research institutions, or start-ups with global operations.
Location
Sydney
Score
IELTS 6.5
Tuition Fee
AUD 48020
Undergraduate Entry Requirements
Application Fee: AUD $50
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 93 with a minimum of 21 in each section.
- PTE (Pearson Test of English): Overall score of 64 with a minimum of 50 in each section.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
The University of Technology Sydney (UTS) offers a range of scholarships and grants to assist students with the cost of their education. These scholarships are available to both domestic and international students and cover a range of academic fields.
UTS President's Scholarship: This is a prestigious scholarship that is awarded to high-achieving students. The scholarship covers the full tuition fees for the duration of the recipient's course.
UTS Global Ambassador Scholarship: This scholarship is available to both undergraduate and postgraduate international students who demonstrate academic excellence and a commitment to promoting UTS overseas. The scholarship covers 50% of the recipient's tuition fees.
UTS Women in Engineering and IT Scholarship: This scholarship is available to female students who are enrolled in an engineering or IT course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees and living expenses.
UTS Business School Scholarship: This scholarship is available to both domestic and international students who are enrolled in a business course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees.
UTS Graduate School of Health Scholarship: This scholarship is available to both domestic and international students who are enrolled in a health course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees.
UTS Faculty of Law Equity Scholarship: This scholarship is available to both domestic and international students who are enrolled in a law course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees and living expenses.
Graduates of the Bachelor of Engineering Science in Data program from UTS are equipped with a strong foundation in engineering principles and advanced skills in data science and analytics. This combination prepares them for diverse career opportunities in industries that rely heavily on data-driven decision-making and technology innovation.
Data Engineer: Graduates can work as data engineers, responsible for designing, constructing, and maintaining data pipelines and infrastructure. They ensure the efficient collection, storage, and integration of data from various sources to support analytics and business intelligence.
Data Analyst: Those with a focus on data analysis can pursue careers as data analysts, interpreting complex data sets to extract actionable insights and inform business strategies. They use statistical techniques, data visualization tools, and programming languages to analyze trends, patterns, and correlations in data.
Machine Learning Engineer: Graduates interested in artificial intelligence and machine learning can work as machine learning engineers, developing algorithms and models to automate data analysis and prediction tasks. They apply machine learning techniques to improve decision-making processes and optimize system performance.
Business Intelligence Developer: Graduates may specialize as business intelligence developers, designing and implementing data warehousing solutions and dashboards for business reporting and analytics. They collaborate with stakeholders to identify data requirements and deliver actionable business insights.
Big Data Architect: Those with a focus on scalable data solutions can work as big data architects, designing architectures and frameworks to process, store, and analyze large volumes of structured and unstructured data. They ensure data security, scalability, and performance in big data environments.
Data Scientist: Graduates can pursue roles as data scientists, leveraging statistical analysis, machine learning, and programming skills to uncover patterns, build predictive models, and solve complex business problems. They work across various domains including finance, healthcare, marketing, and e-commerce.
Data Consultant: Those with strong communication and analytical skills can work as data consultants, advising organizations on data strategy, governance, and implementation. They help clients leverage data assets to drive operational efficiencies, improve decision-making, and achieve business objectives.
AI Ethics Specialist: With a focus on ethical considerations in AI and data use, graduates can work as AI ethics specialists, ensuring responsible and ethical deployment of AI technologies. They develop policies, guidelines, and frameworks to mitigate risks and promote fairness, accountability, and transparency in AI applications.
