courses

4321

18 September 2017 24 April 2024
Monash University

Postgraduate - Course

Students who commenced study in 2015 should refer to this course entry for direction on the requirements; to check which units are currently available for enrolment, refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course.

print version

This course entry applies to students commencing this course in 2015 and should be read in conjunction with information provided in the 'Faculty information' section of this Handbook by the Faculty of Information Technology.

Course code4321
Managing facultyInformation Technology
Abbreviated titleGradDipDataSc
Total credit points required48
Standard duration of study (years)1.4 years PT

Students have a maximum of four years to complete this course.

Study mode and location

This course is taught online.

Admission, fee and application details http://www.monash.edu/study/coursefinder/course/4321
Contact details

Telephone: 1300 652 134; email: admissions.online@monash.edu

Notes

  • This course is not available to international students who are holders of an Australian student visa, for study onshore in Australia. However holders of some other categories of Australian visas living in Australia, and students studying off-campus by distance learning (where this option is available) and living outside of Australia, may be eligible for this course.
  • Unit codes that are not linked to their entry in the Handbook are not available for study in the current year.

  • This course is not available to international students who are holders of an Australian student visa, for study onshore in Australia. However holders of some other categories of Australian visas living in Australia, and international students living outside of Australia, may be eligible for this course.

Description

This course prepares graduates for a career in data science. It provides students with tertiary qualifications with the knowledge and skills needed to deal effectively with data analytics but also in the areas of data management and data processing. The course covers statistical and exploratory analysis, data formats and languages, processing of massive data sets, and management of data and its role and impact in an organisation and community.

Outcomes

These course outcomes are aligned with the Australian Qualifications Framework level 8, the Bologna Cycle 1 and Monash Graduate AttributesAustralian Qualifications Framework level 8, the Bologna Cycle 1 and Monash Graduate Attributes (http://monash.edu/pubs/handbooks/alignmentofoutcomes.html).

Upon successful completion of this course it is expected that graduates will be able to:

(1.) interpret and analyse the lifecycle of data through an organisation including collection, storage, management, processing, analytics, presentation and visualisation

(2.) apply the major theories, techniques, standards and tools in the field of data analytics and data exploration to real-world data driven problems

(3.) plan a data science project on a new application area using knowledge of the data lifecycle and analytics process and available tools

(4.) investigate, analyse, document and communicate the core issues and requirements in developing data analytics capability in an organisation, and their role in addressing organisational processes

(5.) demonstrate an understanding of data science to a level of depth and sophistication consistent with senior professional practice

(6.) review and evaluate data science projects

(7.) anticipate and work with ethical and legal issues and norms in privacy and security, and other areas of community impact with regards the practice of data science.

Structure

This course consists of eight graduate-level units.

Requirements

Students complete:

(a.) two core units (12 points)

  • FIT5145 Introduction to data science
  • FIT5146 Data curation and management

(b.) six elective units from the below list (36 points)

Award(s)

Graduate Diploma In Data Science