Bachelors of Science(Chemistry) / Data Science

4 Years On Campus Bachelors Program

Griffith University Gold Coast Campus

Program Overview

The Bachelor of Science (Chemistry)/Bachelor of Data Science at Griffith University Gold Coast combines rigorous scientific training with advanced data analysis and computational skills, preparing you for careers at the intersection of science and technology. It’s ideal for students who are curious about chemical processes and eager to apply data-driven solutions to real-world problems in research, industry, and technology sectors.

Curriculum structure

Year 1:
In the first year, you’ll build a solid foundation in chemistry and data science. Core chemistry units like Chemistry 1A and Chemistry 1B introduce molecular principles and laboratory techniques, while data science units such as Introduction to Programming and Foundations of Data Science teach you coding basics and data handling. This combination develops your analytical thinking and problem-solving skills from the start.

Year 2:
Your second year deepens your chemistry knowledge with units like Analytical Chemistry and Organic Chemistry, while data science courses such as Data Analytics and Statistics for Data Science teach you to extract insights from complex datasets. You’ll engage in practical lab work and computing projects, learning how to integrate scientific methods with data-driven decision making.

Year 3:
In the third year, you’ll explore advanced chemistry topics, including Physical Chemistry and Chemical Analysis, while your data science studies include units like Machine Learning and Database Systems. This year emphasizes applying computational techniques to chemical research problems, often through team projects and hands-on assignments that mimic real-world scenarios.

Year 4:
The final year focuses on capstone projects and specialised electives, such as Environmental Chemistry, Predictive Analytics, and Big Data in Science. You’ll undertake research-based or industry-linked projects, synthesising your chemistry knowledge with data science skills to solve complex scientific and technological challenges.

Focus areas (in a string):

Chemistry fundamentals, laboratory techniques, analytical chemistry, data analytics, programming, machine learning, statistical modelling

Learning outcomes (in a string):

Ability to perform chemical experiments, interpret scientific data, apply computational and statistical techniques, integrate chemistry with data science solutions, develop problem-solving and analytical skills

Professional alignment (accreditation):

The chemistry component meets national scientific education standards, while the data science component aligns with industry expectations for computational, statistical, and analytical expertise.

Reputation (employability rankings):

Griffith University is globally recognised for its interdisciplinary programs, ranking #268 in the QS World University Rankings 2026, reflecting strong graduate employability and industry relevance.

Experiential Learning (Research, Projects, Internships etc.)

At Griffith University’s Bachelor of Science (Chemistry)/Bachelor of Data Science on the Gold Coast, students gain hands-on experience that bridges chemistry and data analysis. You’ll work in modern chemistry laboratories equipped with analytical instruments while also accessing computing facilities for data science, machine learning, and programming projects. The program integrates practical, project-based learning, internships, and team collaborations to ensure you graduate with both scientific expertise and advanced data-handling skills.

Opportunities for practical experience include:

Work-Integrated Learning (WIL) and internships: Engage in industry placements, research projects, and internships that allow you to apply chemistry and data science skills in real-world contexts.
Laboratories and research facilities: Access state-of-the-art chemistry labs for hands-on experiments and analysis, and computing labs for coding, statistical modelling, and big data projects.
Digital tools and software: Use professional software for data analysis, machine learning (Python, R), database management, and chemical modelling to simulate experiments or process scientific data.
Collaborative team projects: Participate in group projects that mimic industry scenarios, developing problem-solving, communication, and project management skills.
Libraries and learning support: Griffith’s Gold Coast campus libraries provide access to extensive scientific journals, databases, and data science resources, supporting both research and coursework.
Capstone and research-linked projects: In later years, students undertake projects that integrate chemistry and data science, often in collaboration with industry or research partners.

Progression & Future Opportunities

Graduates of the Bachelor of Science (Chemistry)/Bachelor of Data Science from Griffith University Gold Coast are well-prepared for careers that require both scientific insight and advanced data analytics skills. Typical roles include data analyst, chemical data scientist, research analyst, and business intelligence consultant, reflecting the degree’s unique interdisciplinary training. This combination equips you to enter diverse industries and adapt to emerging opportunities in science, technology, and data-driven decision making:

Career support services: Griffith’s Careers and Employability Service offers tailored career coaching, résumé building, interview preparation, networking opportunities, and access to job platforms like Griffith CareerHub, helping students translate their interdisciplinary skills into employment.
Employment prospects and salary: Graduates with skills in chemistry and data science are in demand, with early-career salaries typically ranging from AUD 65,000–75,000 depending on the industry and location.
University–industry partnerships: Griffith maintains strong links with industry, providing opportunities for internships, WIL projects, and research collaborations with companies in analytics, IT, chemical manufacturing, and scientific research.
Long-term accreditation value: The degree meets Australia’s national quality standards for both science and data science education, ensuring your qualifications are recognised and respected across professional sectors.
Graduation outcomes: You will graduate with practical laboratory skills, data analysis expertise, and experience in real-world projects, making you highly employable across multiple industries.

Further Academic Progression:
After completing this degree, students can pursue postgraduate studies such as a Master of Data Science, Master of Analytics, or research-focused programs in chemistry or computational sciences. These pathways enable further specialisation, leadership opportunities, or roles in research, consultancy, and advanced technical positions, enhancing career flexibility and growth potential.