Program Overview

Program Overview

The Bachelor of Data Science is a comprehensive undergraduate program designed to equip students with core skills in data science, including data wrangling and visualization, programming, data security, and applied artificial intelligence.

Description

Data is exponentially growing in its creation, and data scientists create and use various tools and frameworks to analyze patterns in data and communicate their findings to others. This program allows students to develop these core skills, enabling them to apply themselves across a range of professions, projects, and problems.

Program Learning Outcomes

Upon completion of this program, graduates will have:

• Expertise in a body of knowledge that spans data science, data analytics, data architecture, data engineering, and data wrangling.
• The ability to apply their learning and skills to create new understandings of the world and real-world issues.
• The tenacity to identify, draw upon, and manage resources to take a project from concept to completion.
• The perception to think critically and have keen insight and a broad perspective of the world to find solutions to complex problems.
• The responsiveness to work in many different environments, harness collective knowledge within local and global professional networks, communicate effectively, and work with people while having an appreciation of others.
• The integrity to apply their skills and knowledge of data science to the highest ethical standards responsibly and honestly.

Admission Requirements

Eligibility for admission to this program is based on applicants meeting the minimum selection rank or satisfying the requirements for an approved admission scheme. The University accepts a range of qualifications to determine eligibility for admission, including Australian or overseas senior secondary qualifications, prior tertiary studies, prior TAFE/VET studies, and completed enabling programs.

English Language Requirements

All applicants must demonstrate that they meet the University's English proficiency requirement. The overall minimum English language proficiency score is 6, with a sub-test minimum of 6.

Assumed Knowledge

Mathematics Advanced is assumed knowledge for this program.

Recommended Studies

HSC Mathematics Extension 1 or equivalent is recommended.

Professional Accreditation

The Bachelor of Data Science is provisionally accredited by the Australian Computer Society (ACS).

Program Requirements

The Bachelor of Data Science requires students to pass courses totaling 240 units, consisting of:

• 150 units of Core courses
• 10 units from the 1000 Level course list
• 10 units from the 2000 Level course list
• 10 units from the 3000 Level course list
• 60 units of Electives

Program Structure

Core Courses

Students must complete the following core courses:

• COMP1140: Database and Information Management
• MATH1110: Mathematics for Engineering, Science and Technology 1
• MATH1120: Mathematics for Engineering, Science and Technology 2
• MATH1510: Discrete Mathematics
• SENG1120: Data Structures
• STAT1100: Data Communication and Modelling
• STAT1300: Fundamentals of Statistics
• INFT2150: Business Analysis
• STAT2020: Predictive Analytics
• STAT2300: Statistical Inference
• COMP3260: Data Security
• COMP3330: Machine Intelligence
• COMP3340: Data Mining
• COMP3851A: Computing and Information Sciences Work Integrated Learning Part A
• COMP3851B: Computing and Information Sciences Work Integrated Learning Part B

Course Lists

Students must complete:

• 10 units from the 1000 Level course list, which includes:
  • INFT1004: Introduction to Programming
  • SENG1110: Object Oriented Programming
• 10 units from the 2000 Level course list, which includes:
  • COMP2230: Algorithms
  • INFT2031: Systems and Network Administration
  • STAT2000: Applied Statistics and Research Methods
• 10 units from the 3000 Level course list, which includes:
  • INFT3800: Professional Practice in IT
  • STAT3030: Generalised Linear Models
  • STAT3040: Forecasting with Linear Time Series Models

Electives

Students must complete 60 units of electives to fulfill the requirements of the program. Electives can be used to extend and complement core studies with more courses in the same field of study or from areas of interest.

Availability

The program is available in Semester 1 and Semester 2, with various delivery modes and attendance patterns.

AQF Level

The Bachelor of Data Science is a Level 7 Bachelor Degree.

Additional Handbook Information

• All students can access free academic skills and support provided by Academic Learning Support through the Pathways and Academic Learning Support Centre.
• Aboriginal and Torres Strait Islander students can draw on the assistance and support provided by the Indigenous Student Support and Development service through the Wollotuka Institute.
• Students can access a free suite of NUPrep preparation courses as well as Academic Learning Support through the Pathways and Academic Learning Support Centre.
• Credit transfer information is available on the University's credit website.
• International students will be provided with an orientation to familiarize them with the rules, expectations, facilities, and services offered by the University.

Study Areas

The program falls under the study areas of Computing, Maths, and Technology.

Units to Complete

The program requires students to complete 240 units.

College

The program is offered by the College of Engineering, Science and Environment.

Full-Time Duration

The full-time duration of the program is 3 years.

Maximum Time to Complete

The maximum time to complete the program is 8 years.

Term Type

The program is offered in semesters.

Locations of Offer

The program is offered at the Callaghan Campus.