Data Science
Master of Data Science and Innovation
Learning Mode
Full Time
Duration
2 Years
Start date
March, July
Qualification
Master Degree (AQF Level 9)
Fees
AUD 47,320
Location
City Campus (Sydney)
About the Course
The Master of Data Science and Innovation (MDSI) at the University of Technology Sydney (UTS) is a unique and highly interdisciplinary postgraduate program designed for professionals seeking to become leaders in the data-driven economy. This distinctive degree goes beyond traditional data science, blending advanced analytical and computational skills with critical thinking, creativity, and an innovation mindset. You will learn to not only extract insights from complex data but also to innovate new solutions, products, and services, and communicate findings effectively to diverse stakeholders.
The program integrates cutting-edge topics such as machine learning, artificial intelligence, big data technologies, and data Visualisation with design thinking, creativity, and ethical considerations in data governance. You will engage in hands-on, project-based learning, often in collaboration with industry partners, addressing real-world challenges. Taught by a diverse faculty spanning data scientists, designers, social scientists, and business experts, the UTS MDSI prepares you to be a versatile, ethical, and innovative data professional capable of driving significant change in any organisation.
Career prospects
Graduates of the Master of Data Science and Innovation from UTS are exceptionally well-positioned for high-demand, strategic roles across a vast array of industries, including technology, consulting, finance, healthcare, media, government, and research. This innovative qualification prepares you for specialist and leadership positions that require both deep analytical skills and the ability to drive innovation. You will be sought after for roles that transform data into actionable strategies and create new value in a rapidly evolving global landscape.
Why choose Data Science and Innovation at UTS?
Industry Connected
Blend data science with creativity, innovation, and communication to design impactful, user-centred data solutions.
Global Opportunities
Solve real-world data challenges through collaborative industry projects, building a strong, experience-rich portfolio.
Professional Accreditation
Gain hands-on experience using AI, big data, and machine learning in modern, high-tech learning environments.
Course Overview
The Master of Data Science and Innovation (C07096) at UTS is a 72-credit point (1.5-year full-time equivalent) or 96-credit point (2-year full-time equivalent) postgraduate degree. This innovative program is designed to develop highly skilled data professionals who can leverage data not just for analysis, but for driving innovation and strategic decision-making.
The course structure typically includes:
- Core Data Science Foundations: Units covering advanced statistics, machine learning, data management, and programming for data science.
- Innovation and Design Thinking: Unique subjects focusing on creative problem-solving, design thinking methodologies, data storytelling, and the ethical implications of data.
- Electives/Specializations: Opportunities to choose electives in areas such as artificial intelligence, big data engineering, advanced analytics, or specific industry applications.
- Capstone Project: A significant, often industry-linked, capstone project where students apply their integrated data science and innovation skills to a complex real-world problem.
This program fosters a unique blend of analytical rigor and creative thinking, preparing graduates for leadership in data-driven innovation.
Course Duration
Length of the course
- 1.5 years full-time (72 credit points) for applicants with a Bachelor’s degree in a cognate discipline with strong relevant experience, or a Graduate Certificate/Diploma in a relevant field.
- 2 years full-time (96 credit points) for applicants with a Bachelor’s degree (non-cognate) or less relevant experience, requiring foundational subjects.
- Part-time options are available (duration varies).
Mode of Study for international students:
- Full-time enrolment is generally required for international students to comply with visa regulations.
Course Curriculum
The Master of Data Science and Innovation curriculum at UTS is designed to progressively build advanced data science capabilities while integrating a strong focus on innovation and real-world application.
- Core Data Science & Analytical Techniques This segment covers the essential technical foundations. Units typically include: Data Science Fundamentals, Machine Learning, Advanced Analytics and Modelling, and Data Management and Programming. These units provide the computational and statistical bedrock.
- Innovation, Design & Communication Unique to this program, these units focus on translating data insights into actionable strategies. Topics might include: Design Thinking for Data Science, Data Visualisation and Storytelling, Ethical AI and Data Governance, and Creative Problem Solving.
- Electives and Capstone Project Students can choose electives to deepen their expertise in areas like AI, Big Data Infrastructure, or specific industry applications. The program culminates in a significant Capstone Project, often in collaboration with industry, where students apply their full skillset to a complex data-driven innovation challenge.
Admission Requirements
Entry Criteria
- Academic qualifications Applicants must have successfully completed a Bachelor’s degree (or equivalent qualification) from a recognised university.
- For 1.5-year (72 cp) entry: A Bachelor’s degree in a relevant discipline (e.g., IT, Business, Economics, Engineering, Science, Health) with a credit average (WAM 65% or equivalent) and/or at least one year of relevant professional work experience. Alternatively, completion of a UTS Graduate Certificate in a relevant field.
- For 2-year (96 cp) entry: A Bachelor’s degree in any discipline from a recognised university, or equivalent.
- Non-Academic Requirements:
- A personal statement outlining motivation for the course, relevant experience, and career aspirations.
- A CV/resume detailing academic and professional experience.
- Interview may be required in some cases.
Language Proficiency
- English language requirements (e.g., IELTS, TOEFL) For international applicants, demonstrated proficiency in English is mandatory. This is typically evidenced by:
- IELTS Academic: Overall band score of 6.5, with no band less than 6.0.
- TOEFL iBT: Minimum score of 79, with specific minimum scores for listening (16), reading (13), speaking (18), and writing (21).
- PTE Academic: Overall score of 58, with no communicative skill score less than 50.
Fees and Funding
Tuition Fees:
- AUD 47,320 (Postgraduate – per 1 year full-time for international students).
Scholarships and Bursaries: UTS offers a range of scholarships and financial aid opportunities to support eligible students in their Master of Data Science and Innovation studies. These include:
- UTS International Scholarships: Various scholarships for high-achieving international students across different disciplines.
- Faculty of Engineering and IT Scholarships: Specific scholarships for students demonstrating academic excellence or leadership potential in IT and data science.
- Research Scholarships: Opportunities for students undertaking research components or higher degrees by research (PhD pathways).
- Various other bursaries and support schemes are available, designed to assist students with their study costs and enhance their educational experience.
Career Opportunities
Graduates of UTS’s Master of Data Science and Innovation are uniquely positioned for leadership and specialist roles that require both deep analytical skills and a strong innovation mindset. Their interdisciplinary training makes them highly versatile across various sectors.
Common career paths include: Data Scientist, Lead Data Analyst, Innovation Manager (Data-driven), Machine Learning Engineer, AI Strategist, Business Intelligence Developer, Data Product Manager, Analytics Consultant, Data Ethicist, or Chief Data Officer. These roles span technology giants, consulting firms, financial services, healthcare, government, research institutions, media, and startups, offering highly impactful and rewarding career trajectories both in Australia and internationally.
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