Graduate Certificate of Professional Data Analytics [Bootcamp] | Courses | Swinburne University

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Please Note: This course will not be taking applications for 2023. You may wish to consider Swinburne Online.

Prime yourself for career success in a high growth area with our data analytics course developed in collaboration with Tableau. Gain a much sought-after analytics skillset in our bootcamp delivery which fast-tracks your learning, with no prior IT background required.

In a world where data is increasingly complex, businesses that have the skills to harness data-driven insights are better-positioned to succeed. In this course you will develop a broad knowledge of the data management lifecycle and understand the power of data-driven decision making with access to software support from Tableau. You will complete projects co-designed with industry that present real-world challenges, giving you the opportunity to hone your skills in a professional framework.

Upon graduation, you will be ready to work as a data analyst across a range of industries, by taking data in its raw form and transforming it into actionable business insights. You will also be prepared to pursue advanced education in data analysis.

Commonwealth-Supported Places are available for this course – enquire today to find out if you’re eligible.

Duration

6 months full-time

Study modes

Full-time,
Part-time

Course information in detail

- Course detail, course structure and units of study.

Course description

The Graduate Certificate of Professional Analytics has been designed for students who wish to develop their knowledge of data analytics by getting an understanding of the challenges, techniques and tools of the data management lifecycle. Students will develop skills in relation to managing, interpreting, visualising and deriving knowledge from small to medium-sized data sets, allowing them to take on a variety of roles in data-driven decision making.

Course structure

To qualify for the award of Graduate Certificate of Professional Analytics students must complete 50 credit points comprising:

Four (4) core units of study

Volume of Learning

The Graduate Certificate of Professional Analytics consists of a total of 4 units (50 credit points). Units normally carry 12.5 credit points (cps). In each standard teaching period, four (4) units normally constitute a full-time load of 50 credit points and two (2) units normally constitute a part-time load of 25 credit points. The Volume of Learning for the Graduate Certificate of Professional Analytics is typically 6 months of full time study or equivalent

Maximum Academic Credit

The maximum level of credit that can be granted for the Graduate Certificate of Professional Analytics is 25 credit points (normally two units).

Units of study

BUS60017 Organisational Growth and Innovation Capstone Project *

COS60012 Data Analytics with Python

COS60013 Data Science Using Python *

INF60018 Data Analytics for Business

* Outcome units - matched exemptions are generally not granted for higher education outcome units.

Careers and graduate outcomes

- Career opportunities, course aims and objectives and graduate skills.

Career opportunities

This course provides graduates with knowledge and skills allowing them to undertake semi-professional work in the field of data analytics, and as a pathway for further learning. The Graduate Certificate of Professional Analytics provides graduates from non-IT backgrounds a path to move into a career as a data analyst.

Aims and objectives

The Graduate Certificate is designed to provide an accessible learning pathway for individuals to accelerate their career in high job growth fields, and provides opportunities for working professionals to cross-skill or upskill.

Additionally, in the context of high unemployment due to the pandemic, it provides displaced workers with an entry point to emerging technology fields to future proof their careers.

Most importantly, each unit within the course is driven by learners completing projects which have been co-designed with Employer Partners

These projects reflect real-world business challenges, relevant to leading digital companies. In completing these projects, learners will develop:

Theoretical knowledge and understanding required to solve the problem at hand;
Technical skills and experience with key technologies so as to be able to complete the project;
Enterprise skills and digital literacy required to effectively transition into the workplace in a business / data analyst role;
A project portfolio which can be utilised to showcase their skills and understanding as they seek meaningful job and career outcomes.

Graduate skills

On successful completion of this Course students will be able to:

#	Description
CLO1	Rationalise problem analysis and decision-making methodologies to identify, design and implement solutions to industry relevant problems with intellectual independence
CLO2	Advise and implement analytics techniques in diverse contexts
CLO3	Exhibit effective use of industry tools for data and information communication
CLO4	Exhibit effective use of Python to perform advanced data analysis and visualisation

The Swinburne experience

- Study abroad.

Study abroad opportunities

Prime yourself for career success in a high growth area with this data analytics course. Develop a broad knowledge of the data management lifecycle and understand the power of data-driven decision making.

Get to know the challenges, techniques and tools of data analytics, and learn how to manage, interpret, visualise and derive knowledge from small to medium-sized data sets. Boost your digital literacy through the development of technical skills and experience using key technologies, with no prior IT background required.

You will complete projects co-designed by industry partners that present real-world challenges, giving you the opportunity to hone your skills in a professional framework. These projects go towards forming a portfolio, which will showcase your skills to future employers in the business analytics sphere.

Upon graduation, you will be prepared to pursue further education in data analysis or employment as a data analyst across a range of industries.

Pathways and scholarships

- Credit transfer, recognition of prior learning and scholarships.

Scholarships

At Swinburne scholarships are about providing opportunity, promoting equity and recognising excellence and achievement. Scholarships are available for both commencing and current students. Find out more about scholarships.

Credit

Credit is granted in recognition of previous study and/or experience and allows students to gain advanced standing towards their course. Applicants are assessed on a case-by-case basis. Learn more about credit.

Recognition of Prior Learning

Recognition of Prior Learning (RPL) allows students to gain credit (advanced standing) towards their course in recognition of skills and knowledge gained through work experience, life experience and/or formal training. Applicants are assessed on a case-by-case basis. Learn more about RPL.

Course fees and requirements

- Entry requirements and non-year 12 entry.

Entry requirements

Applicants are required to have completed:

A recognised bachelor degree OR
Two years equivalent full-time related professional experience* OR
Three to five years equivalent full-time relevant experience that includes computer literacy OR
Partially completed related tertiary qualification from AQF 6 and less than two years work experience

* Relevant experience includes eg. data analytics, digital roles, researcher, product or delivery roles, technology roles.

How to apply

Find out more about how to apply.