Master of TESOL and Applied Linguistics (Extension)
The Master of TESOL and Applied Linguistics (Extension) program at UTS is a prestigious...
Bachelor of Engineering ( honours) Data
Sydney
INTAKE: Feb, Jul & Nov
Program Overview
The Bachelor of Engineering (Honours) Data program at UTS is designed to equip students with advanced skills in data analytics, machine learning, and data-driven decision-making. This interdisciplinary program integrates engineering principles with computer science and statistics, preparing graduates for careers in industries driven by data innovation, such as finance, healthcare, telecommunications, and beyond. Graduates are adept at leveraging big data to solve complex problems and drive organizational success.
Curriculum: The curriculum of the Bachelor of Engineering (Honours) Data program at UTS is comprehensive and practical, covering foundational courses in mathematics, programming, and data analysis. Advanced coursework includes topics in machine learning, data mining, artificial intelligence, cloud computing, and data visualization. Students engage in hands-on projects and case studies, applying theoretical knowledge to real-world data sets and developing analytical skills essential for data engineering roles.
Research Focus: UTS emphasizes a strong research focus within the Bachelor of Engineering (Honours) Data program. Students have opportunities to participate in research projects led by faculty members who are experts in data science, machine learning algorithms, and predictive analytics. Research initiatives span various domains, including cybersecurity, healthcare informatics, smart cities, and financial modeling, encouraging students to innovate and contribute to advancements in data-driven technologies.
Industry Engagement: The Bachelor of Engineering (Honours) Data program at UTS maintains strong ties with industry partners to ensure curriculum relevance and enhance students' employability. Industry engagement initiatives include guest lectures by data scientists and industry experts, internship opportunities with leading tech companies and startups, and collaborative projects that address real-world data challenges. These interactions provide students with practical insights into industry practices, emerging technologies, and job market demands in data engineering and analytics.
Global Perspective: UTS promotes a global perspective throughout the Bachelor of Engineering (Honours) Data program. International collaborations, exchange programs, and partnerships with global tech companies allow students to gain exposure to diverse data practices, cultural contexts, and global market trends. This global outlook enhances students' adaptability, cross-cultural communication skills, and understanding of international data regulations and ethical considerations, preparing them for roles in multinational corporations or global data-driven initiatives.
Location
Sydney
Score
IELTS 6.5
Tuition Fee
AUD 46494
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 (Honours) Data program from UTS are well-equipped with advanced skills in data analytics, machine learning, and data engineering, making them highly sought-after in various industries that rely on data-driven insights.
Data Scientist: Data scientists analyze complex data sets to uncover patterns, trends, and insights that drive business decisions and strategy. They utilize statistical techniques, machine learning algorithms, and programming languages to extract valuable information from data.
Machine Learning Engineer: Machine learning engineers design, implement, and deploy machine learning models and algorithms. They work on projects such as predictive modeling, natural language processing, and computer vision to develop intelligent systems and automate processes.
Data Engineer: Data engineers design and build data pipelines, data warehouses, and databases to collect, store, and organize large volumes of structured and unstructured data. They ensure data quality, reliability, and accessibility for analytics and business intelligence purposes.
Business Intelligence Analyst: Business intelligence analysts transform data into actionable insights for business stakeholders. They create reports, dashboards, and visualizations to monitor key performance indicators (KPIs), identify trends, and support data-driven decision-making across departments.
Data Analyst: Data analysts interpret data to identify trends, patterns, and correlations that provide valuable insights into business operations, customer behavior, and market trends. They use statistical analysis and data visualization tools to present findings and recommendations to stakeholders.
Big Data Consultant: Big data consultants advise organizations on implementing and optimizing big data solutions. They assess infrastructure requirements, recommend appropriate technologies, and develop strategies for managing and analyzing large-scale data sets effectively.
Cybersecurity Analyst (Data Focus): Cybersecurity analysts with a data focus specialize in analyzing data to detect and respond to cyber threats and incidents. They use data analysis techniques to identify vulnerabilities, assess risks, and implement security measures to protect organizational data assets.
Research Scientist (Data Science): Graduates interested in research can pursue careers as research scientists specializing in data science. They work on advancing machine learning algorithms, developing new data analysis methods, and conducting research in areas such as artificial intelligence and computational biology.
