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    Master of Data Science and Innovation
    Go to University of Technology Sydney
    University of Technology Sydney

    Master of Data Science and Innovation

    University of Technology Sydney

    University of Technology Sydney

    flag

    Australia, Sydney

    University RankQS Ranking
    88

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    084268K

    Campuses

    City campus

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines
    Apply to this program

    Go to the official application for the university

    Duration 2 year(s)
    Tuition Fee
    AUD 48,336  / year

    Master of Data Science and Innovation

    About

    Note

    Depending on qualifications and work experience, C04372 can be taken with either 2-year duration or 1.5-year duration. If you have relevant work experience, you may qualify for the accelerated version of the course with 1-year full time duration C04370.

    This course equips you with the essential knowledge and skills to tackle data science tasks for real-world business problems. You will perform descriptive, predictive, and prescriptive analytics from ethical and human-centered perspectives while exploring innovations in the field of data science. Choose this program for its unique transdisciplinary approach, blending diverse fields with practical industry experience. Stand out with skills in transforming practices through analytics. Gain expertise in data analysis, project management, and strategic implementation, all tailored to current market demands. Learn through a mix of online and in-person sessions at UTS's advanced facilities, enriched by industry partnerships. Engage with real-world data projects, ensuring your learning is relevant and applied. The surge in data across industries fuels a global demand for your future skills.

    The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

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    Requirements

    Entry Requirements

    Admission requirements

    Admission requirements

    To be eligible for admission to this course, applicants must meet the following criteria.

    Applicants must have one of the following:

    • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline with a minimum GPA of 4/7

    OR

    • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline AND A minimum of 2 years full-time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)

    OR

    • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a relevant discipline (listed below)

    Successful applicants who also meet the following criteria may be eligible for 24cp of recognition of prior learning, reducing the course duration from 2 years to 1.5 years:

    • a minimum GPA of 4/7 and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)

    OR

    • a minimum GPA of 4/7 and an academic qualification in a relevant discipline (listed below)

    OR

    • an academic qualification in a relevant discipline (listed below) and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)

    Applicants who do not meet the criteria above should consider applying for C06124 Graduate Diploma in Data Science and Innovation or C11274 Graduate Certificate in Data Science and Innovation.

    Relevant disciplines:

    Natural and Physical Sciences, Information Technology, Engineering and related technologies, Accounting, Business and Management, Sales and Marketing, Banking, Finance and related fields, Economics and Econometrics

    Relevant professional occupations (ANZCO classification):

    2241 Mathematical Science Professionals, 2243 Economists, 2244 Intelligence and Policy Analysts, 225112 Market Research Analyst, 225115 Digital Marketing Analyst, 26 ICT Professionals

    Supporting documentation to be submitted with the application

    For applicants who need to demonstrate work experience:

    • Curriculum Vitae AND Statement of service in one of the following formats:
      • A 'Statement of Service' provided by the employer
      • A completed 'UTS statement of service’ signed by the employer
      • A statutory declaration confirming work experience (for Australian Residents only)
      • An official letter from the applicant’s accountant or solicitor on their company letterhead confirming the applicant’s work experience or engagement with the business, duration of operations, and the nature of the business
      • A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)

    The English proficiency requirement for international students or local applicants with international qualifications is: IELTS Academic: 6.5 overall with a writing score of 6.0; or TOEFL iBT: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.

    Eligibility for admission does not guarantee offer of a place.

    International students

    Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

    To be eligible for admission to this course, applicants must meet the following criteria.

    Applicants must have one of the following:

    • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline with a minimum GPA of 4/7

    OR

    • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline AND A minimum of 2 years full-time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)

    OR

    • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a relevant discipline (listed below)

    Successful applicants who also meet the following criteria may be eligible for 24cp of recognition of prior learning, reducing the course duration from 2 years to 1.5 years:

    • a minimum GPA of 4/7 and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)

    OR

    • a minimum GPA of 4/7 and an academic qualification in a relevant discipline (listed below)

    OR

    • an academic qualification in a relevant discipline (listed below) and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)

    Applicants who do not meet the criteria above should consider applying for C06124 Graduate Diploma in Data Science and Innovation or C11274 Graduate Certificate in Data Science and Innovation.

    Relevant disciplines:

    Natural and Physical Sciences, Information Technology, Engineering and related technologies, Accounting, Business and Management, Sales and Marketing, Banking, Finance and related fields, Economics and Econometrics

    Relevant professional occupations (ANZCO classification):

    2241 Mathematical Science Professionals, 2243 Economists, 2244 Intelligence and Policy Analysts, 225112 Market Research Analyst, 225115 Digital Marketing Analyst, 26 ICT Professionals

    Supporting documentation to be submitted with the application

    For applicants who need to demonstrate work experience:

    • Curriculum Vitae AND Statement of service in one of the following formats:
      • A 'Statement of Service' provided by the employer
      • A completed 'UTS statement of service’ signed by the employer
      • A statutory declaration confirming work experience (for Australian Residents only)
      • An official letter from the applicant’s accountant or solicitor on their company letterhead confirming the applicant’s work experience or engagement with the business, duration of operations, and the nature of the business
      • A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)

    Eligibility for admission does not guarantee offer of a place.

    English Program Requirements

    UTS has English language proficiency requirements for all its courses for all students.

    Please check the requirements that apply to you.
    Note: These requirements may apply to you, even if you are not an international student.

    If you have previously studied in English, you may satisfy the UTS English language requirements in one of several ways. You must have:

    Career

    Careers

    Your future career

    Seek Australia predicts an 11% increase in data science jobs over the next five years.
    The future of employment in data science is filled with opportunities driven by an explosion and ever-increasing reliance on data. And data science is no longer confined to tech companies. As almost all industries race to adopt data-driven processes and decisions, those who can analyse data and lead data-driven transformations will be highly valued.
    A career in data science offers security, growth, diversity, and the chance to be on the cutting edge of global innovation.

    Career options

    • Big Data Analyst / Architect / Engineer
    • Data and Innovation Lead
    • Data and Insights Manager
    • Data Scientist
    • Data Visualiser
    • Data Warehouse Architect
    • Machine Learning Engineer
    • Research Analyst / Scientist
    • Systems Analyst

    Fee Information

    Tuition Fee

    AUD 48,336 

    Application Fee

    AUD  
    University of Technology Sydney

    Master of Data Science and Innovation

    University of Technology Sydney

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    Australia,

    Sydney

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