Master of TESOL and Applied Linguistics (Extension)
The Master of TESOL and Applied Linguistics (Extension) program at UTS is a prestigious...
City Campus - Sydney
INTAKE: Jul, Feb & Nov
The Master of Data Science and Innovation program at UTS is a shining example of excellence in education and research. It offers a comprehensive, dynamic, and advanced learning experience, blending theoretical knowledge, practical training, and research initiatives to ensure that students are well-prepared to meet the challenges and opportunities in data science and innovation.
Curriculum: The curriculum of this program is meticulously designed to provide students with a deep understanding of data science and innovation. It covers a wide range of subjects, including data analysis, machine learning, data visualization, design thinking, and entrepreneurial skills. Students have access to state-of-the-art data analytics tools and technology, enabling them to gain hands-on experience in solving real-world problems. The program emphasizes the integration of theoretical knowledge with practical application, ensuring that graduates are well-prepared for the complexities of the data-driven and innovation-focused industries.
Research Focus: The Master of Data Science and Innovation program at UTS places a strong emphasis on research, motivating students to engage in advanced research projects. Students often collaborate with distinguished faculty members on research endeavors, contributing to the advancement of data science and innovation as academic disciplines. This research-driven approach enriches students' academic experience and equips them with the skills necessary to innovate and adapt in the ever-changing world of data and innovation.
Industry Engagement: The program maintains strong connections with the technology and innovation industry, ensuring students benefit from real-world insights and experiences. Leading professionals from the tech and innovation sectors actively contribute to the curriculum, offering guest lectures and participating in industry-focused projects. This industry engagement keeps students updated with the latest industry trends and challenges, while also providing networking opportunities and potential career prospects.
Global Perspective: The Master of Data Science and Innovation program at UTS is designed to provide a global perspective. The curriculum often addresses international data science and innovation issues and challenges, preparing students for careers that transcend geographical boundaries. UTS fosters a diverse and inclusive learning environment that attracts students from around the world, enhancing the global perspective of the program.
City Campus - Sydney
IELTS 6.5
AUD 42960
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at UTS are generally required to hold a bachelor's degree or equivalent with a minimum score of 60% or above. However, specific program requirements may vary.
English Language Proficiency:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Graduates of the Master of Data Science and Innovation program at UTS are well-prepared for a wide range of career options in the fields of data science and innovation.
Data Scientist: Graduates can work as data scientists, utilizing their analytical and machine learning skills to extract valuable insights from data.
Innovation Consultant: With a focus on design thinking and innovation, graduates can help organizations develop innovative products and strategies.
Entrepreneur: Graduates with entrepreneurial skills can start their own data-driven businesses and technology startups.
Product Manager: For those interested in technology, graduates can manage the development of data-centric products and services.
Technology Analyst: Graduates can analyze and assess emerging technologies and their impact on businesses and industries.