Bachelor of Data Science (Honours)

Program Overview

The Bachelor of Data Science (Honours) program provides a comprehensive understanding of the data lifecycle, equipping students with skills in data analysis, machine learning, and AI. Through a professional placement, industry collaborations, and a research project, students gain practical experience and specialize in an area of interest. Graduates are highly sought after in the rapidly growing field of data science, with career opportunities in various sectors.

Program Outline

Degree Overview:

Explore the entire lifecycle of data to develop a deep understanding of how information is used to generate insights that inform strategic business decisions in the Bachelor of Data Science (Honours). You’ll undertake a professional placement, work in teams with an industry partner to tackle authentic business challenges using real-world data sets, hone your skills through focused studies in an area that interests you most and complete a research project in your final year. Propel yourself into the thriving field of data science. You will study the latest data science trends, insights and emerging topics to ensure you graduate with a highly relevant skill-set that is sought-after by employers across the globe. Explore different analytical methods, tools and techniques as you learn key concepts and deep dive into advanced topics in machine learning, AI and predictive analytics. Want to hone your analytical skills for a rewarding career in data science? The Bachelor of Data Science (Honours) gives you ample opportunity to sharpen your skill set under the guidance and direction of our supportive teaching staff. You’ll explore fundamental concepts across maths, stats and programming at the beginning of the course, before diving into more advanced topics in data wrangling, capture and mining; machine learning; deep learning and AI. You’ll also have opportunities to undertake a professional placement as part of studies, work in teams with an industry partner to tackle authentic business challenges using real-world data sets as part of a capstone project, focus your studies towards the area that interests you most by undertaking minor studies in a topic of your choosing, and culminate your knowledge in your final year through completion of an honours research project.

Outline:

Course structure

To qualify for the award of Bachelor of Data Science (Honours) students must complete 32 credit points comprising:

• DAI001 Academic Integrity Module (0-credit point compulsory unit)
• SIT010 Safety Induction Program (0-credit point compulsory unit)
• STP010 Career Tools for Employability (0-credit point compulsory unit)
• seventeen (17) credit points of core units
• 3 credit points of Data Science capstone units
• 4 credit points of Data Science Research Training capstone units
• and one of:
• two minors (8 credit points)
• OR one minor (4 credit points), and four open elective units (4 credit points)
• level 1 - maximum of 10 credit points
• levels 2 and 3 - minimum of 14 credit points over both levels
• level 7 – minimum 4 credit points.

Careers:

Data analysts and scientists are ranked in the top ten fastest growing jobs globally, with a 30% growth predicted over the next 5 years. This courses provide you with the cutting-edge knowledge and hands-on experience to stand out in this booming industry. As a graduate, you will have the skills, knowledge and industry connections to build a varied and sustainable career as a data analyst, data scientist, business strategist, data engineer, data architect, data visualisation specialist, information analyst or reporting analyst in the public and private sectors. Depending on what industry or sector you choose to find employment, you could be optimising digital marketing campaigns, develop new and innovative products and services, predict customer sales patterns, or increase productivity in areas such as sales or supply chain management. Graduates from the Bachelor of Data Science (Honours) are highly sought-after by employers for their investigative, exploratory and lateral thinking approach to complex data challenges. By undertaking a focused research project in your final year of study, you will acquire advanced technical expertise in your chosen specialisation, as well as the skills to become a creative, solutions-driven professional in the dynamic and ever-evolving field of data science.