Professional Certificate in Applied Analytics

University of Melbourne

About

The Professional Certificate in Applied Analytics comprises two of the core subjects in the Master of Applied Analytics.

It provides a strong base for students wishing to understand analytics technology and how it may be applied across professional disciplines.Students who complete the Professional Certificate have the option of proceeding to the Graduate Certificate in Applied Analytics which will involve completion of a further two subjects or the Master of Applied Analytics which will involve completion of a further four subjects plus a Capstone project.

Credit will be granted towards Graduate Certificate or Master’s for the subjects completed in the Professional Certificate.All subjects are undertaken online providing students with flexibility in where and when they study.

Students will be expected to actively participate in discussions and collaborations with their peers and teachers.As most students in this course will be full-time professionals, enrolment is currently offered on a part-time basis only, requiring students to complete one subject per eight-week term, over an academic year of four terms.

The course will typically be completed over 6 months part time.

Structure

Course structure

The course comprises two compulsory subjects:

  • MAST90130 Critical Thinking with Analytics must be completed first
  • MGMT90248 Analytics and Society must be completed second

Entry requirements

Entry requirements

1. In order to be considered for entry, applicants must have completed:

  • a bachelor honours degree or equivalent in a cognate area; or
  • a three-year undergraduate qualification and at least 50 credit points, or equivalent, of graduate study in a cognate area; or
  • a three-year undergraduate qualification in a cognate area and at least two years of documented, relevant work experience; or
  • a minimum of eight years documented, relevant work experience; and
  • a personal statement.

Meeting these requirements does not guarantee selection.

2. In ranking applications, the Selection Committee will consider:

  • prior academic performance; and if relevant
  • the work experience; and
  • the personal statement.

3. The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.

4. Applicants are required to satisfy the university’s English language requirements for graduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the academic board, performance band 6.5 is required.

Notes:

(a) Cognate area refers to one of i) Health, ii) Psychology, iii) Urban design/architecture/built environment iv) Education

Inherent requirements (core participation requirements)

The Professional Certificate of Applied Analytics welcomes applications from students with disabilities. It is University and degree policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student’s participation in the degree.

The Professional Certificate of Applied Analytics requires all students to enrol in subjects where they will require:

  1. The ability to use a computer, including read material on screen, to a competent standard;
  2. The ability to read, analyse and comprehend complex scenarios involving the use of analytics;
  3. The ability to actively and safely contribute in online activities;
  4. The ability to work independently and as a part of a group;
  5. The ability to clearly and independently communicate orally a knowledge and application of
  6. analytics principles and critically evaluate these principles;
  7. The ability to clearly and independently communicate in writing a knowledge and application of analytics principles

Students must possess behavioural and social attributes that enable them to participate in a complex learning environment. Students are required to take responsibility for their own participation and learning. They also contribute to the learning of other students in collaborative learning environments, demonstrating interpersonal skills and an understanding of the needs of other students. Assessment may include the outcomes of tasks completed in collaboration with other students. There may be additional inherent academic requirements for some subjects, and these requirements are listed within the description of the requirements for each of these subjects.

Students who feel their disability will impact on meeting this requirement are encouraged to discuss this matter with the relevant Subject Coordinator and the Disability Liaison Unit: http://www.services.unimelb.edu.au/disability/

Learning outcomes

Intended learning outcomes

Upon completion of the course, students should be able to:

  • demonstrate an understanding of suitable analytics techniques for a variety of real-world scenarios
  • analyse proposals for the application of analytics solutions to real-world operational and strategic issues
  • identify potential ethical issues in the application of an analytics approach, or solution, to a real-world scenario
  • understand the various components that need to be completed for an overall real-world analytics solution.

Institution