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    Master of Applied Data Analytics
    Go to Australian National University
    Australian National University

    Master of Applied Data Analytics

    Australian National University

    Australian National University

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    Australia, Canberra

    University RankQS Ranking
    30

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    097058B

    Credit point

    72 Points

    Campuses

    Main Site

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines25-Feb-2026
    Apply to this program

    Go to the official application for the university

    Duration 1.5 year(s)
    Tuition Fee
    AUD 53,700  / year(s)
    Next Intake 25-Feb-2026

    Master of Applied Data Analytics

    About

    Please note that some of the courses specified in the Master of Applied Data Analytics program will not be offered in intensive mode in 2024 and depending on enrolments may not be offered in intensive mode in 2025 either. Students will need to complete the approved alternative courses listed below on-campus, in standard semester schedules, that may include in-person examinations and tutorials.

    COMP8910 Data Mining (Intensive) replaced with COMP8410

    COMP8930 Data Wrangling (intensive) replaced with COMP8430

    COMP7240 Introduction to Database Concepts (intensive) replaced with COMP6240

    COMP7230 Introduction to Programming for Data Scientists (intensive) replaced with COMP6730

    COMP6990 Document Analysis (intensive) replaced with COMP6490

    COMP8920 Neural Networks, Deep Learning and Bio-inspired Computing (intensive) replaced with COMP8420


    The Master of Applied Data Analytics is a 1.5 year full-time (or equivalent part-time) degree that provides students with:

    • Exposure to best practice in data analytics.
    • Cutting edge courses in areas of relevance to data analytics practitioners.
    • An opportunity to deepen knowledge in one of the three areas of computation, statistics, or social science.
    • Professional development for practicing data analytics professionals.
    • The opportunity to undertake research of professional relevance.

    The program is taught in semester mode, and for domestic students the program is also offered in intensive blended mode. Students studying in intensive blended mode are expected to be enrolled part-time. The intensive blended course delivery mode is designed to suit working students who take leave from work (or other commitments) to attend an intensive 1 week of full time learning on campus in the middle of the course, and study remotely for the rest of the course. The intensive blended course delivery mode comprises: 4 weeks of online study, 1 full time week of face to face learning on campus, followed by a further 4 weeks of online study.

    Disciplines

    College of Engineering Computing & Cybernetics

    Requirements

    Entry Requirements

    Admission Requirements

    Applicants must present one of the following:

  • A Bachelor degree with Honours or international equivalent with a minimum GPA of 5.0/7.0
  • A Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, plus at least 3 years of relevant work experience
  • The GPA for a Bachelor program will be calculated from (i) a completed Bachelor degree using all grades and/or (ii) a completed Bachelor degree using all grades other than those from the last semester (or equivalent study period) of the Bachelor degree. The higher of the two calculations will be used as the basis for admission.

    Ranking and English Language Proficiency: At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry.

    In line with the University's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors. Applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes. If required, ranking may further be confirmed on the basis of:

  • a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes; and/or
  • demonstrating higher-level English language proficiency
  • Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.

    Further information: English language admission requirements and post-admission support

    Career

    Career Options

    ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.

    We have graduated remarkable people from every part of our continent, our region and all walks of life.

    Fee Information

    Tuition Fee

    AUD 53,700 

    Application Fee

    AUD  
    Australian National University

    Master of Applied Data Analytics

    Australian National University

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    Australia,

    Canberra

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