Master of Data Science Mid-Year Entry

Degree Type Masters by Coursework
Duration 2 years full-time
or part-time equiv.
SATAC Code 3CM203
CRICOS 094326M

This program provides the necessary skills for entering the world of big data and data science, an emerging area of necessity for many fields, including science, engineering, economics and digital humanities. The program will help students understand how data is changing our world, and how learners can apply data science techniques to drive changes in their organisation or area.

In the Master of Data Science, students undertake a specialised introductory program in their first semester, designed to address fundamental requirements in programming, mathematics and data science. Students then proceed with a program of courses tailored to their particular interest, building skill and knowledge in data science, as well as a significant project designed to combine skills developed across the program.
  • Entry Requirements

    Choose your applicant type to view the relevant admissions information for this program.
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    Domestic applicants

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    Admissions Transparency Data

    SATAC Code 3CM203
    Intake February and July
    Enquiries Future Students team
    Selection Criteria
    Graduate entry only

    Graduate Entry Bachelor degree or equivalent with a minimum GPA of 4.5.

    Advanced standing of 12 units may be granted to eligible applicants who have successfully completed the MicroMaster in Big Data program with a minimum overall score of 65 percent.

    Prerequisites University level Maths IB or equivalent.
    How to Apply
    SATAC Code: 3CM203

    International applicants

    Not an international applicant?

    Admissions Transparency Data

    CRICOS 094326M
    Intake February and July
    Selection Criteria
    English Language Requirements
    Australian Year 12 Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject
    English Tests accepted by the University of Adelaide
    IELTS Overall 6.5 Reading 6 Listening 6 Speaking 6 Writing 6
    TOEFL Overall 79 Reading 13 Listening 13 Speaking 18 Writing 21
    Pearsons Overall 58 Reading 50 Listening 50 Speaking 50 Writing 50
    Cambridge Overall 176 Reading 169 Listening 169 Speaking 169 Writing 169
    Qualifications that meet minimum English requirements A range of alternative qualifications may meet the University’s minimum English requirements
    Academic Entry Requirements
    Tertiary Qualifications Bachelor degree or equivalent with a minimum GPA of 4.5. Advanced standing of 12 units may be granted to eligible applicants who have successfully completed the MicroMaster in Big Data program with a minimum overall score of 65 percent.
    Prerequisites
    Australian Year 12 University level Maths IB or equivalent.
    International Qualifications University level Mathematics IB or equivalent
    How to Apply
  • Fees and Scholarships

    Choose your applicant type to view the relevant fees and scholarships information for this program.
    I am a:

    Domestic applicants

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    Annual tuition fees
    Australian Full-fee place: $34,500

    International applicants

    Not an international applicant?

    Annual tuition fees International student place: $40,000

    Scholarships

    These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.

    Find a Scholarship.

  • Careers

    Potential careers

    Business Consultant, Database Coordinator, Engineer, Financial Systems / Computer Analyst, Scientific Data Analyst, Systems Analyst, Information Analyst, Information Technologist, Information and Communications Technologist, Business Analyst, Business Data Analyst, Computer Scientist, Data Analyst

  • Study Overseas

    A Study Overseas Experience is an integral component to your academic journey at The University of Adelaide. The university is committed to offering its students the opportunity to study overseas through a range of degrees offered via Study Overseas, including student exchange, study tours, short study degrees, internships and placements. There are many exciting opportunities in Europe, Asia, the Americas, Africa, and Oceania ranging from a few weeks to a full academic year.

    To find Study Overseas opportunities available in your study area click Global Experiences.

  • Degree Structure

    The 48-unit master's program normally takes four semesters of full-time study. However, credit in core courses to the value of 12 units on account of successful completion of the MicroMasters in Big Data with a minimum overall score of 65 per cent, is possible. As part of the 48 units, students are required to undertake a research project, deliver a public presentation and write a report on their research. The project is normally completed over two consecutive semesters.

    Example Study Plan


    Please refer to the ECMS website for a study plan to guide your enrolment http://www.ecms.adelaide.edu.au/current-students/enrolment/study-plans/
    MASTER OF DATA SCIENCE
    Year 1 COMP SCI 7208 Programming & Computational Thinking for Data Science (6 units)
    MATHS 7103 Probability and Statistics (3 units)
    COMP SCI 7201 Algorithm & Data Structure Analysis (3 units)
    COMP SCI 7209 Big Data Analysis & Project (3 units)
    COMP SCI 7401 Introduction to Statistical Machine Learning (3 units)
    Elective (6 units)
    Year 2 

    Master of Data Science Research Project Part A (6 units)
    Master of Data Science Research Project Part B (6 units)
    COMP SCI 7405 Research Methods in Software Engineering (3 units)
    COMP SCI 7306 Mining Big Data (3 units)
    COMP SCI 7094 Distributed Databases and Data (3 units)
    Elective (3 uints)

    Elective Choices COMP SCI 7059 Artificial Intelligence (3 units)
    COMP SCI 7088 Systems Programming (3 units)
    COMP SCI 7305 Parallel and Distributed Computing (3 units)
    STATS 7004 Statistics Topic A (3 units)
    STATS 7014 Statistics Topic B (3 units)
    STATS 7016 Statistics Topic C (3 units)^
    STATS 7059 Mathematical Statistics (3 units)
    STATS 7054 Statistical Modelling (3 units)
    COMP SCI 7007 Specialised Programming (3 units)
    COMP SCI 7076 Distributed Systems (3 units)
    STATS 7008 Statistics Topic D (3 units)
    STATS 7069 Statistics Topic E (3 units)^
    STATS 7070 Statistics Topic F (3 units)^
    SSTATS 7056 Biostatistics (3 units)
    STATS 7057 Sampling Theory and Practice (3 units)^
    STATS 7058 Time Series (3 units)
    STATS 7107 Statistical Modelling and Inference (3 units)
    COMP SCI 7407 Advanced Algorithms (3 units)

    COURSE AVAILABILITY
    ^Check the course planner for course availability noting the availability of all courses is conditional on the availability of staff and facilities.

    Assessment

    Research project, written assignments, practical work and/or examinations.
  • Related Degrees

  • Further Information

    Further enquiries
    Phone: +61 8 8313 7335 (toll free 1800 061 459)

    The annual Open Day and Information Night events provide an excellent opportunity to see our campus, meet with academics, and discuss your study options.

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Last updated: Monday, 9 Jul 2018