single degree

Master of Applied Data Analytics

A single 1.5 year graduate degree offered by the ANU College of Engineering and Computer Science

MADATAN
  • Length 1.5 year full-time
  • Minimum 72 Units
First year student? There’s more information about enrolling in your degree.
  • Mode of delivery
    • In Person
  • Field of Education
    • Mathematical Sciences not else
  • Academic contact
  • Length 1.5 year full-time
  • Minimum 72 Units
First year student? There’s more information about enrolling in your degree.
  • Mode of delivery
    • In Person
  • Field of Education
    • Mathematical Sciences not else
  • Academic contact

Program Requirements

The Master of Applied Data Analytics requires the completion of 72 units, which must consist of:


42 units from completion of the following compulsory courses:

COMP8410 Data Mining

COMP8430 Data Wrangling

SOCR8201 Introduction to Social Science Methods and Types of Data

SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy

STAT6039 Principles of Mathematical Statistics

STAT7026 Graphical Data Analysis

STAT7055 Introductory Statistics for Business and Finance

6 units from completion of courses from the following list:

COMP6240 Relational Databases

COMP7240 Introduction to Database Concepts

6 units from completion of courses from the following list:

COMP1040 The Craft of Computing

COMP6730 Programming for Scientists

COMP7230 Introduction to Programming for Data Scientists

6 units from completion of courses from the following list:

STAT6038 Regression Modelling

STAT7001 Applied Statistics 

 12 units from completion of courses from any of the following lists:

Computer Science

COMP6490 Document Analysis

COMP8420 Bio-inspired Computing: Applications and Interfaces

COMP8600 Introduction to Statistical Machine Learning

Social Science

SOCR8082 Social Research Practice

SOCR8006 Online Research Methods

SOCR8203 Advanced Techniques in the Creation of Social Science Data

SOCR8204 Advanced Social Science Approaches to Inform Policy Development and Service Delivery

Statistical Data Analysis

STAT7016 Introduction to Bayesian Data Analysis 

STAT7030 Generalised Linear Models

STAT7040 Statistical Learning

STAT8002 Applied Time Series Analysis

Study Options

Year 1 48 units COMP6730 Programming for Scientists 6 units COMP6240 Relational Databases 6 units STAT7055 Introductory Statistics for Business and Finance 6 units SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy 6 units
COMP8430 Data Wrangling 6 units STAT6039 Principles of Mathematical Statistics 6 units SOCR8201 Introduction to Social Science Methods and Types of Data 6 units STAT7026 Graphical Data Analysis 6 units
Year 2 COMP8410 Data Mining 6 units STAT6038 Regression Modelling 6 units Stage 3 Elective Course 6 Units Stage 3 Elective Course 6 units

Admission Requirements

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

A Bachelor degree with Honours or international equivalent with a minimum GPA of 5.0/7.0

Or a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, plus at least 3 years of relevant work experience. 


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.

 

Cognate Disciplines

Actuarial Studies, Anthropology, Computer Science, Criminology, Demography/Population Studies, Engineering, Epidemiology/Public Health, Finance, Information Technology, Maths, Physics, Political Science, Psychology, Sociology, Statistics.


Academic achievement & English language proficiency

The minimum academic requirement for full entry and enrolment is a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0 (if supplemented with 3 years of relevant work experience).

Applicants will be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree (or equivalent) used for admission purposes.

If required, ranking may further be confirmed on the basis of:

° a GPA ('GPA2') calculated on semesters 4 & 5 of a three year OR semesters 6 & 7 of a four year, Bachelor degree used for admission purposes; and

° demonstrating higher-level English language proficiency.

Prior to enrolment at ANU, all students who gain entry must submit their awarded Bachelor degree (or equivalent), to confirm minimum requirements were met.


Diversity factors

As Australia’s national university, ANU is a global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from across the nation and the globe.

Assessment of Qualifications

Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met. Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au

ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications

Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.


Application for course credits

Applicants who have completed a degree in a cognate discipline from a recognised university may be eligible to receive coursework credit towards this degree, in line with the ANU Coursework Award Rules.

Cognate Disciplines

Actuarial Studies, Anthropology, Computer Science, Criminology, Demography/Population Studies, Engineering, Epidemiology/Public Health, Finance, Information Technology, Maths, Physics, Political Science, Psychology, Sociology, Statistics.

Annual indicative fee for domestic students
$32,256.00

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

Annual indicative fee for international students
$45,864.00

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

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 will be taught in intensive blended mode with students expected to be enrolled part-time.

Career Options

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

Learning Outcomes

  1. Select, adapt, apply, and communicate advanced data analytics methods and techniques;
  2. Apply data analytics to decision making about policy, business and service delivery;
  3. Examine current issues in data analytics using leading-edge research and practices in the field;
  4. Demonstrate strong cognitive, technical, and communication skills to work independently and collaboratively to collect, process, interpret and communicate the outcomes of data analytics problems; and
  5. Communicate complex data analytics outcomes to diverse audiences.

Inherent Requirements

Information on inherent requirements is currently not available for this program.

Academic Advice

Important things to keep in mind when planning your enrolment

The following links enable students to download a recommended enrolment pattern for their individual situation: domestic or international; online or on-campus.

Students should note that these patterns are strictly advisory. They are designed to help students navigate the degree by taking account of factors such as pre-requisites (what order students have to take some courses in) and scheduling constraints (some courses occur more frequently than others). Students are free to vary these patterns, but the College cannot guarantee that a student who diverges from the recommended pattern will be able to complete the program in the minimum time.


Please consult the  CECS MADA page for detailed info about fees, tuition sponsorships, courses, FAQ etc   https://cecs.anu.edu.au/study/dataanalytics

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