Master of Data Science and Innovation (MDSI), University of Technology, Sydney

Sydney- Aus, New South Wales - Aus

24 Months

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About this course

The Master of Data Science and Innovation at UTS is a world-leading program designed to equip students with the skills to transform practice using analytics. It takes a transdisciplinary approach, blending insights from diverse fields and integrating industry experiences, real projects, and self-directed study. The course aims to develop your ability to handle descriptive, predictive, and prescriptive analytics ethically and human-centredly. Delivered through a mix of online and face-to-face sessions at UTS's advanced facilities, the program emphasizes practical engagement with data sets and projects to ensure relevance. It responds to the dramatic growth of data across industries, fostering expertise in transforming practices through analytics and innovation, making it highly suited to meet the increasing global demand for data science skills.

Why this course is highly recommended

The program is highly recommended because it prepares students for the significant global demand for data science skills driven by the rapid growth of data across industries. Its industry-engaged curriculum, real-world projects, and focus on soft skills like critical thinking, collaboration, and leadership make graduates highly employable in a variety of sectors. The flexible delivery modes and opportunities for industry partnerships provide a practical, relevant education that aligns with current market needs.

Specialisation

This course offers a broad, transdisciplinary approach to data science and innovation, combining insights from various fields and industry partnerships to ensure a practical, real-world focus.

Course fees

Application fees

25.43L

1st year tuition fees

25.43L

Living cost

Degree requirements

Students must complete 96 credit points, which include 40 credit points of compulsory subjects such as Data Science for Innovation, Statistical Thinking for Data Science, Machine Learning Algorithms and Applications, and Data Visualisation and Narratives. The remaining 56 credit points are electives, with the course offered over two years full-time or four years part-time.

English language test

TOEFL

DUOLINGO

PTE

IELTS

6.5

Career prospects

Graduates of this course can expect a variety of roles, including Big Data Analyst, Data and Insights Manager, Data Scientist, Machine Learning Engineer, and Research Analyst. The demand for data science professionals is rising, with predictions of an 11% increase in jobs over five years. The skills gained open opportunities across industries, emphasizing data-driven decision making, innovation, and leadership in transforming practices.

FAQs

What are the admission requirements?

Applicants need an Australian bachelor's degree or equivalent with a minimum GPA of 4/7, or relevant work experience, or a relevant discipline with additional professional experience. Recognition of prior study may reduce course duration.

What is the tuition fee for domestic students?

The indicative total tuition fee for domestic students in 2025 is $71,371 Australian dollars, with the first-year fee around $34,900.