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Bachelor of Data Science(NBDS)

Victoria University

Duration

3 Years

Fee

N/A

Level

Bachelor

Next Intake

TBA

Entry Score

N/A

Course Information

Country

Australia

Duration

3 Years

Level

Bachelor

Fee

N/A

Disciplines

Information Technology

University

Victoria University

Australia

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Eligibility Requirements

Minimum entry criteria include:

English-language requirements


academic requirements.

Your work and life experience will also be considered.

To find specific entry requirements for this course, please select the section below that is most relevant to you.

Meeting the minimum entry criteria does not guarantee entry into this course.


Scholarship Opportunities

Scholarship information not available

Career Opportunities

The Bachelor of Data Science at VU can help you launch a career perfectly aligned to industry demand.

Potential roles include:
data analyst
data scientist
data analysis specialist
data engineer
data consultant
data systems developer
information security analyst
data visualisation specialist
reporting analyst
AI scientist
AI engineer
business intelligence (BI) analyst
Business intelligence specialist
market intelligence manager
data warehouse architect
statistician
mobile/web/cloud software developer.

Course Structure

To attain the award of Bachelor of Data Science students will be required to complete

288 credit points of core units.


Units
Year 1, Semester 1

Web Development and CMS
Unit code: NIT1101 | Credits: 12


Introduction to Programming
Unit code: NIT1102 | Credits: 12


Communication and Information Management
Unit code: NIT1103 | Credits: 12


Computer Networks
Unit code: NIT1104 | Credits: 12


Year 1, Semester 2
Introduction to Database Systems
Unit code: NIT1201 | Credits: 12


Operating Systems
Unit code: NIT1202 | Credits: 12


Introduction to Project Management
Unit code: NIT1203 | Credits: 12


Web Application and Server Management
Unit code: NIT1204 | Credits: 12


Year 2, Semester 1
Object Oriented Programming
Unit code: NIT2112 | Credits: 12


Cloud Application Development
Unit code: NIT2113 | Credits: 12


Fundamentals of Data Science
Unit code: NIT2151 | Credits: 12


Introduction to ICT Management
Unit code: NIT2171 | Credits: 12


Year 2, Semester 2
IT Profession and Ethics
Unit code: NIT2201 | Credits: 12


Software Engineering
Unit code: NIT2213 | Credits: 12


Big Data
Unit code: NIT2202 | Credits: 12


Machine Learning and Data Mining
Unit code: NIT2251 | Credits: 12


Year 3, Semester 1
Online Business System Development
Unit code: NIT3114 | Credits: 12


Predictive Analysis
Unit code: NIT3151 | Credits: 12


IT Capstone Project 1
Unit code: NIT3003 | Credits: 12


ICT Business Analytics and Data Visualisation
Unit code: NIT3171 | Credits: 12


Year 3, Semester 2
Mobile Application Development
Unit code: NIT3213 | Credits: 12


Data Analytics for Cyber Security
Unit code: NIT3202 | Credits: 12


Advanced Data Science
Unit code: NIT3251 | Credits: 12


IT Capstone Project 2
Unit code: NIT3004 | Credits: 12

Key Features

No key features available

About the Course

This data science degree will teach you how to analyze large amounts of data and produce insights to address challenging issues using specialized computational and statistical methods. In order to satisfy the high need for data science workers, these are essential 21st century abilities.

With practical tools, real-world datasets, and industry-focused methodologies, you will gain a thorough understanding of data management, data mining, deep learning, and decision-making. In order to handle a variety of real-world issues, you will gain knowledge on how to manipulate, analyze, visualize, forecast, and uncover insights in data during your studies.