Graduate Diploma of Data Science

Graduate Diploma

Modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions, resulting in high demand for data scientists.

Key details

Degree Type

Graduate Diploma

Course Code

S677

About this course

M

odern organisations are

placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic

decisions, resulting in high demand for data scientists.

This course equips you with the essential

skills and knowledge

to meet this demand and excel an area of high job growth.

The Graduate Diploma of Data Science covers modern data science concepts, statistical data analysis, descriptive analytics and machine learning to equip you with the theory, methodologies, techniques and tools of modern data science.

Through this course, you will develop

the ability to confidently work with any type of data, to identify trends, make predictions, draw conclusions, drive innovations, make decisions and share information that influences people. This course gives you essential skills in data analytics, enabling you to discover insights and support decision-making across a range of industries.

Career pathways

Graduates of this course are prepared for professional employment across all sectors as data science specialists. Professionals with a solid knowledge in data science and strong skills for analysing and interpreting data in today's data-rich economy are in high demand and may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.

Course structure

To complete the Graduate Diploma of Data Science students must attain 8 credit points.

The course is structured in two parts:

Part a: Fundamental Data Analytics Studies (4 credit points)
Part b: Core Data Science Studies (4 credit points)
DAI001 Academic Integrity Module (0-credit point compulsory unit).

Depending upon prior qualifications and/or experience, you may receive credit for Part a.

4

Fundamental data analytics units

4

Core data science units

8

Total

Credit for prior study or work

The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.

You can also refer to the Recognition of prior learning system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Deakin University.

79.2%

Overall satisfaction

80.8%

Skill scale

65.2%

Teaching scale

88.8%

Employed full-time

$110k

Average salary

Data source