Master of Business (Accounting)
The Master of Business (Accounting) program at Griffith University equips students with...
Bachelor of Science / Bachelor of Data Science
Gold Coast Campus, Nathan Campus
INTAKE: March
Program Overview
Griffith University's Bachelor of Science/Bachelor of Data Science program is a unique and interdisciplinary degree that combines the foundational knowledge of science with the advanced skills of data science. This dual-degree program offers students an innovative approach to understanding complex scientific concepts while equipping them with the tools and techniques to analyze and interpret large datasets. Students in this program gain a comprehensive understanding of both scientific principles and data analysis methodologies, preparing them for a wide range of careers in various industries where data-driven decision-making is essential.
Curriculum: The curriculum of the Bachelor of Science/Bachelor of Data Science program is designed to provide students with a solid foundation in scientific disciplines such as biology, chemistry, physics, mathematics, and computer science, while also focusing on the specialized skills required for data analysis. Core courses cover topics such as scientific inquiry, statistical analysis, programming languages, data visualization, and machine learning. Students have the flexibility to tailor their studies through elective courses in areas such as environmental science, health science, finance, or business analytics. The program emphasizes hands-on learning through laboratory work, projects, and internships, allowing students to apply their knowledge to real-world problems and gain practical experience in data analysis techniques.
Research Focus: Research is a central component of the Bachelor of Science/Bachelor of Data Science program, with opportunities for students to engage in research projects that explore scientific phenomena and utilize data science methodologies. Students have the opportunity to work with faculty mentors on research initiatives in fields such as biomedical research, environmental monitoring, climate science, and business analytics. Through research-focused coursework, independent study projects, and collaborative research partnerships with industry and academic partners, students develop critical thinking skills, research methodologies, and analytical techniques that prepare them for graduate studies or professional careers in research and development.
Industry Engagement: Griffith University places a strong emphasis on industry engagement within the Bachelor of Science/Bachelor of Data Science program, providing students with opportunities to gain practical experience and establish connections with professionals in scientific and data-driven industries. The university has partnerships with research institutions, government agencies, consulting firms, and technology companies, offering students internships, work placements, and industry-sponsored projects. Through these industry engagements, students have the opportunity to apply their knowledge and skills in real-world settings, gain hands-on experience with data analysis tools and technologies, and build professional networks that enhance their career prospects in scientific and data-driven fields.
Global Perspective: With campuses located in culturally diverse and globally connected cities such as Brisbane and Gold Coast, Griffith University offers Bachelor of Science/Bachelor of Data Science students a global perspective on science and data-driven innovation. The program encourages students to explore global challenges such as public health, environmental sustainability, economic development, and social inequality. Through international study opportunities, exchange programs, and collaborative research projects with international partners, students have the opportunity to gain cross-cultural insights, collaborate with researchers from around the world, and contribute to global efforts to address pressing issues through scientific inquiry and data analysis.
Location
Gold Coast Campus, Nathan Campus
Score
IELTS 6.5
Tuition Fee
AUD 39000
Undergraduate Entry Requirements
Application Fee: AUD $50
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 79 with a minimum of 16 in each section.
- PTE (Pearson Test of English): Overall score of 58 with a minimum of 50 in each section.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
Griffith University offers a range of scholarships to support and encourage students in their academic journey. These scholarships recognize excellence, provide financial assistance, and promote diversity and inclusion.
Griffith Remarkable Scholarship: This prestigious scholarship is awarded to exceptional students who have demonstrated outstanding academic achievements, leadership skills, and community involvement. The scholarship covers 50% of tuition fees for the duration of the undergraduate or postgraduate program.
Griffith International Student Excellence Scholarship: This scholarship is designed to support high-achieving international students enrolling in undergraduate or postgraduate coursework programs at Griffith University. The scholarship provides a 25% tuition fee reduction for the duration of the program.
Griffith Sports Excellence Scholarship: This scholarship recognizes talented athletes who have achieved a high level of sporting excellence. It offers financial support and academic flexibility to assist student-athletes in balancing their sporting and academic.
Equity Scholarships: Griffith University offers a range of equity scholarships to support students from disadvantaged backgrounds, including financial hardship, Indigenous Australians, students with disabilities, and regional and rural students. These scholarships provide financial assistance and additional support services.
International Student Support Scholarship: This scholarship is aimed at supporting international students who may be facing financial difficulties during their studies. It provides a one-time payment to assist with living expenses.
Griffith Honours College Scholarship: This scholarship is available to high-achieving students who have been accepted into the Griffith Honours College program. It provides financial assistance and access to exclusive academic and professional development opportunities.
Graduates of Griffith University's Bachelor of Science/Bachelor of Data Science program are equipped with a unique blend of scientific knowledge and data analytics skills, positioning them for diverse and promising career opportunities in various industries where data-driven decision-making is crucial.
Data Scientist/Analyst: With their combined expertise in science and data science, graduates can pursue roles as data scientists or analysts. They analyze large datasets using statistical techniques, machine learning algorithms, and data visualization tools to extract insights and inform decision-making processes. Data scientists work across industries such as healthcare, finance, e-commerce, and marketing, helping organizations leverage data to solve complex problems, optimize processes, and drive innovation.
Research Scientist: Graduates can embark on careers as research scientists, utilizing their scientific background and data analysis skills to conduct research and experiments in fields such as biology, chemistry, physics, or environmental science. They design experiments, collect and analyze data, and interpret results to advance scientific knowledge and contribute to discoveries in their respective fields. Research scientists work in academic institutions, government agencies, pharmaceutical companies, and research laboratories.
Environmental Data Analyst: For graduates interested in environmental science, a career as an environmental data analyst is a viable option. They analyze environmental data to assess the impact of human activities on ecosystems, monitor environmental indicators, and develop strategies for conservation and sustainability. Environmental data analysts work for environmental agencies, consulting firms, non-profit organizations, and government agencies, supporting initiatives related to climate change, biodiversity conservation, and environmental management.
Healthcare Data Analyst: In the healthcare sector, graduates can work as healthcare data analysts, analyzing patient data, clinical trials, and healthcare outcomes to improve patient care and operational efficiency. They use data analysis techniques to identify trends, predict disease outbreaks, and evaluate the effectiveness of treatments and interventions. Healthcare data analysts work in hospitals, research institutions, insurance companies, and healthcare technology firms, contributing to initiatives such as personalized medicine, population health management, and healthcare quality improvement.
Business Intelligence Analyst: Graduates may pursue careers as business intelligence analysts, helping organizations make data-driven decisions to achieve their business objectives. They analyze business data, market trends, and consumer behavior to provide insights that inform strategic planning, marketing campaigns, and product development. Business intelligence analysts work in diverse industries such as finance, retail, telecommunications, and manufacturing, supporting decision-makers with actionable insights derived from data analysis.
Machine Learning Engineer: With their expertise in data science and programming, graduates can work as machine learning engineers, developing algorithms and models that enable computers to learn from data and make predictions or decisions autonomously. They design and implement machine learning solutions for tasks such as image recognition, natural language processing, and predictive analytics. Machine learning engineers work for technology companies, research laboratories, and startups, driving innovation in artificial intelligence and machine learning applications.
