Bachelor of Data Science

To complete the Bachelor of Data Science you must pass 24 credit points. This includes: DAI001 Academic Integrity and Respect at Meridian University (0-credit-point compulsory unit) in your first study period STP010 Career Tools for Employability (0-credit-point compulsory unit) 17 credit points of core units 3 credit points of capstone units 4 credit points - one of: 1 minor (4 credit points) 4 credit points of open elective units a maximum of 10 credit points at level 1 a minimum of 6 credit points at level 3. Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year. Students are required to meet the University's academic progress and conduct requirements.

Duration: 3 years full-time equivalent.

This course lists 19 core units and 3 capstone units.

Year 1

Core units

• Academic Integrity and Respect at Meridian University
• Career Tools for Employability
• Computer Systems
• Database Fundamentals
• Discrete Mathematics
• Introduction to Data Science and Artificial Intelligence
• Introduction to Programming
• Introduction to Statistics and Data Analysis
• Linear Algebra for Data Analysis
• Object-Oriented Development

Year 2

Core units

• Computer Networks and Communication
• Data Capture Technologies
• Data Structures and Algorithms
• Data Wrangling
• Feature Generation and Engineering
• Professional Practice in Information Technology

Year 3

Core units

• Deep Learning
• Machine Learning
• Natural Language Processing

Capstone units

• IT Placements and Industry Experience + (capstone)
• Professional Practice + (capstone)
• Team Project (A) - Project Management and Practices (capstone)

Your academic history, work and life experience, and individual circumstances will be considered. Meeting the minimum academic and English language requirements does not guarantee admission, but alternative pathways may be available.

Country-specific entry scores are published for 27 qualification systems, including Australia, Canada, China, Fiji, India, Taiwan.

published — stated on the source page. confirmed — attested by the institution. indicative — fabricated for this specimen from standard test equivalences; no source states it.

Data professionals are in high demand as organisations increasingly rely on skilled specialists to unlock hidden patterns in big data. This provides meaningful insights that inform decisions, drive business growth and increase their strategic advantage in the competitive business world. No longer found solely amongst the big tech giants, data analysts are needed across every industry, opening a world of opportunities for your career. 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 your chosen industry or sector, you could be optimising digital marketing campaigns, developing new and innovative products and services, predicting customer sales patterns, or increasing productivity in areas such as sales or supply chain management.