About this course
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
|Award title||Professional Certificate in Applied Data Analytics|
|Year & campus||2021 — Parkville|
|Fees information||Subject EFTSL, level, discipline and census date|
|Study level & type||Graduate Coursework|
|Credit points||25 credit points|
|Duration||6 months part-time|
The Professional Certificate in Applied Data Analytics comprises two of the core subjects in the Master of Applied Data 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 Data Analytics which will involve completion of a further two subjects or the Master of Applied Data 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.
1. In order to be considered for entry, applicants must have completed:
- a bachelor honours degree or equivalent in a cognate area (Health, Psychology, Urban Design/Architecture/Built Environment or Education); or
- a three-year undergraduate qualification in a cognate area and at least two years of documented, relevant work experience; or
- a bachelor honours degree or equivalent and at least two years of documents, relevant work experience(no specialisation stream); 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: It is expected that students will already be familiar with basic concepts from statistics and probability.
Inherent requirements (core participation requirements)
The Professional Certificate of Applied Data 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 Data Analytics requires all students to enrol in subjects where they will require:
- The ability to use a computer, including read material on screen, to a competent standard;
- The ability to read, analyse and comprehend complex scenarios involving the use of analytics;
- The ability to actively and safely contribute in online activities;
- The ability to work independently and as a part of a group;
- The ability to clearly and independently communicate orally a knowledge and application of
analytics principles and critically evaluate these principles;
- 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/
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.
Students will be provided with the opportunity to practice and reinforce:
- high level written communication skills
- data manipulation and interpretation skills
- analytic, integration and problem-solving skills
- demonstration of competence in critical and conceptual thinking through report writing and online discussions.
- Academic Distinction Graduates will be exposed to evidence- and practice-based knowledge of analytics applied across disciplines. They will have begun to develop a basic level of skill designing and conducting analytics activities, and communicating with clients and stakeholders. Graduates will have begun to develop an aptitude for continued self-directed learning.
- Active Citizenship Graduates will have begun to develop strategies to contribute meaningfully to analytics thinking and practice in their professional and community contexts. They will be exposed to the existence of multiple sets of values, how those affect the use of analytics, and how to make the values conversation an explicit component of the application of analytics.
- Integrity and Self-Awareness Graduates will encounter professional standards and competencies for analytics practitioners. They will have begun to develop an understanding of the importance of critically reflecting on their analytics applications.
The course comprises two compulsory subjects:
- MAST90130 Critical Thinking with Analytics must be completed first
- MGMT90248 Analytics and Society must be completed second
|Code||Name||Study period||Credit Points|
|MAST90130||Critical Thinking with Analytics||
|MGMT90248||Analytics and Society||
Last updated: 11 February 2021