Overview
Students learn to analyze, interpret, and leverage large datasets to solve complex problems across a variety of sectors, including technology, healthcare, finance, and public policy. The program combines coursework in mathematics, statistics, computer science, and domain-specific electives to create well-rounded, adaptable data science professionals ready to meet the demands of an ever-evolving field.
Key facts
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What you'll learn
The degree offers a structured curriculum that balances foundational knowledge with hands-on experience. Core courses include Introduction to Data Science, Probability and Statistics, Machine Learning, Data Visualization, and Database Systems. In addition, students have the opportunity to specialize through electives in areas like Artificial Intelligence, Business Analytics, and Bioinformatics, tailoring their learning to their career goals. The program also includes a capstone project, where students apply their skills to real-world datasets, collaborating with industry or academic partners to solve meaningful problems.
Upcoming webinar
The 2024 Annual Data Science Summit brings together industry leaders, researchers, and professionals to discuss the latest advancements and applications in AI, machine learning, and data analytics.
View the eventTestimonials
Emily S., Class of 2023
Take actionThe Data Science program gave me invaluable hands-on experience with real datasets and cutting-edge tools. The skills I gained have directly translated into my role as a Data Analyst, where I’m making a real impact every day.
Emily S., Class of 2023
Jacob T., Class of 2022
Through the program's collaborative projects and mentorship opportunities, I was able to build confidence and form connections with industry professionals. This experience prepared me well for my current role as a Machine Learning Engineer.
Jacob T., Class of 2022
Careers
Graduates with a Bachelor of Science in Data Science can pursue a wide array of careers across industries that rely on data-driven insights. Common roles include Data Analyst, Data Scientist, and Machine Learning Engineer, where professionals analyze and model data to inform business strategies. Other paths include Data Engineer and Database Administrator, focusing on building and maintaining data infrastructure, and Business Intelligence Analyst and Marketing Data Analyst, where they apply insights to improve business operations and target audiences. Data science skills are in demand in sectors like finance, healthcare, technology, and retail, offering diverse opportunities for graduates.
Why study with us
Graduates of the Bachelor of Science in Data Science program are prepared for a variety of roles, such as data analyst, data engineer, machine learning specialist, and business intelligence analyst. With a strong foundation in both analytical thinking and technical skills, alumni find opportunities across diverse industries, leveraging data insights to drive strategic decision-making and innovation.
Learning experience
Fees & scholarships
Fees
Please visit the Programs and Courses website for information about fees.
View fees View fees for advanced programScholarships
Financial support of up to $5,000 per year to cover tuition and educational expenses, reducing the financial burden for dedicated students.
Exclusive access to mentorship, networking events, and leadership training designed to foster personal growth and career development.
Key people
William Smith
Professor Mark Evans has a background in statistics and data engineering, with over a decade of experience working in the tech sector before transitioning to academia. His expertise lies in big data infrastructure and predictive modeling, which he incorporates into his teaching to bridge theory and practice.
Susan Barney
Dr. Sarah Lee is an experienced data scientist with over 15 years in academia and industry. With a Ph.D. in Computer Science, her research focuses on machine learning applications in healthcare and public policy.
Susan's profileProgram administrators
Convenor
Dr. Laura Martinez brings over 12 years of experience in data science and a deep commitment to academic excellence to her role as Program Convenor. With a Ph.D. in Data Analytics, Dr. Martinez specializes in predictive modeling and data ethics, focusing on the responsible use of data in decision-making.
Submit requestHow to apply
Understand the entry requirements
- Check domestic admission dates on the ANU Study website.
- Check admission requirements and deadlines for this degree on the Handbook website. Read the requirements carefully to make sure you understand them.
- You must also meet the University's English language admission requirements.
Gather supporting documents
If you graduated from an Australian university, UAC will be able to access your results in most cases. However, you may be asked to provide transcripts or other documentation, so it is a good idea to prepare your records just in case.
You can still apply before you complete your bachelor degree if you are in your final year, and you must advise UAC in your application. You may need to provide a copy of your academic transcript directly to UAC as soon as you complete your degree. UAC will provide instructions during the application process.
Understand the entry requirements
- Check domestic admission dates on the ANU Study website.
- Check admission requirements and deadlines for this degree on the Handbook website. Read the requirements carefully to make sure you understand them.
- You must also meet the University's English language admission requirements.
Gather supporting documents
If you graduated from an Australian university, UAC will be able to access your results in most cases. However, you may be asked to provide transcripts or other documentation, so it is a good idea to prepare your records just in case.
You can still apply before you complete your bachelor degree if you are in your final year, and you must advise UAC in your application. You may need to provide a copy of your academic transcript directly to UAC as soon as you complete your degree. UAC will provide instructions during the application process.