Bachelor of Engineering (Hons) Data Science Dip Prof Eng Prac

University of Technology, Sydney - City

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Overview

Data science engineers organise the collection, storage, transformation and delivery of data with the quality, security and reliability required by modern organisations to succeed in today’s data-driven world. The skill set of a data science engineer, or data engineer for short, is one of the broadest in the industry, encompassing data warehousing, 'extract-transform-load' (ETL) tools, distributed systems and machine learning. Data science engineers play pivotal roles in key sectors including finance, healthcare, e-commerce, transport, defence and media companies.

Also read the information for UTS Engineering and Information Technology.

Majors

Areas of study

Cybersecurity, data analytics and data science, machine learning, management of big data, software development.

Potential Career Outcomes

Career opportunities

Designing, building and managing data science infrastructure and pipelines for large organisations. Data analyst, machine learning engineer, software developer for big data systems, data security consultant. Graduates may also create data-driven start-up companies or pursue research.

ATAR & Selection Rank

The table below shows the ATAR and Selection Rank information for those offered places wholly or partly on the basis of ATAR in 2023.

ATAR-based offers only, across all offer rounds
ATAR
(excluding adjustment factors)
Selection Rank
(including adjustment factors)
Highest rank to receive an offer98.999.95
Median rank to receive an offer83.392.45
Lowest rank to receive an offer75.3588.3

<5 - Less than 5 ATAR-based offers were made

Admission Criteria

Please refer to the University of Technology, Sydney website for admission criteria information.

Course Seeker

This information is sourced from Course Seeker, a joint initiative between the Australian Government and the Tertiary Admission Centres. View more information on Course Seeker.


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