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: Jul & Feb
Program Overview
The Bachelor of Engineering (Honours) in Data at the University of Technology Sydney (UTS) is designed to equip students with comprehensive knowledge and practical skills in data science and engineering. It aims to prepare graduates for careers in a rapidly evolving industry where data-driven decision-making is crucial. The program emphasizes a blend of theoretical foundations and hands-on experience, ensuring graduates are proficient in applying data science techniques to solve real-world problems.
Curriculum: The curriculum of the Bachelor of Engineering (Honours) Data program at UTS is structured to cover core principles of data analysis, machine learning, statistics, and computer science. Students delve into subjects such as data visualization, big data technologies, data mining, and predictive modeling. The program includes practical workshops, industry projects, and opportunities for internships, enabling students to gain practical experience and develop professional skills sought after by employers in various sectors.
Research Focus: UTS emphasizes a strong research focus within the Bachelor of Engineering (Honours) Data program, encouraging students to engage in cutting-edge research projects. Faculty members at UTS are involved in interdisciplinary research areas such as artificial intelligence, data analytics, and computational methods, providing students with opportunities to participate in research initiatives that address contemporary challenges in the field of data science.
Industry Engagement: The program at UTS fosters strong ties with industry through partnerships and collaborations. Students benefit from guest lectures by industry experts, internships with leading organizations, and industry-sponsored projects. These connections not only enhance the learning experience but also ensure that graduates are well-prepared to meet the demands of the industry upon graduation. UTS's location in Sydney, a major hub for technology and innovation, further facilitates industry engagement opportunities for students.
Global Perspective: With a commitment to global education, UTS offers a Bachelor of Engineering (Honours) Data program that incorporates a global perspective. Students have the opportunity to participate in international study tours, exchange programs with partner universities worldwide, and cross-cultural learning experiences. This global outlook prepares graduates to work in diverse multicultural environments and tackle global challenges using data-driven approaches.
Location
Sydney
Score
IELTS 6.5
Tuition Fee
AUD 50000
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 the University of Technology Sydney (UTS) are well-prepared for a range of exciting career opportunities in the rapidly expanding field of data science and engineering.
Data Scientist/Analyst: Graduates can work as data scientists or analysts, where they apply their skills in statistical analysis, machine learning, and data mining to derive insights and solutions from complex datasets. They may work in various industries such as finance, healthcare, retail, and technology.
Big Data Engineer: With expertise in big data technologies and infrastructure, graduates can pursue careers as big data engineers. They design, build, and maintain large-scale data processing systems that handle vast amounts of information efficiently.
Machine Learning Engineer: Specializing in machine learning, graduates can become machine learning engineers who develop algorithms and models that enable computers to learn from data and make predictions or decisions autonomously.
Business Intelligence (BI) Developer: BI developers create data-driven solutions to help organizations make informed decisions. They design and implement BI tools, dashboards, and reports that enable stakeholders to visualize and understand complex data.
Data Consultant: Graduates can work as data consultants, providing strategic advice to organizations on how to leverage data effectively to achieve business objectives. They may collaborate with clients to develop data-driven strategies and solutions.
AI Specialist: With a focus on artificial intelligence (AI), graduates can specialize in developing AI applications and systems that mimic human intelligence. They may work on projects ranging from natural language processing to computer vision.
Data Engineer: Data engineers design and maintain the infrastructure required for data generation, storage, and processing. They build pipelines and frameworks that ensure data is accessible and usable for analysis and decision-making.
Research Scientist: Those interested in advancing the field of data science can pursue roles as research scientists. They conduct innovative research, publish findings in academic journals, and contribute to the development of new theories, algorithms, and methodologies.
Cybersecurity Analyst: Graduates with a focus on data security and privacy can work as cybersecurity analysts. They protect organizations' data assets by identifying and mitigating potential threats and vulnerabilities using data analysis techniques.
Quantitative Analyst (Quant): In finance and investment sectors, graduates can become quants who use mathematical models and data analysis to evaluate financial risks, optimize investment strategies, and develop trading algorithms.
