Master of Agricultural Science
The Master of Agricultural Science program at the University of Wester...
Bachelor of Science in Data Science
Albany, Perth (Crawley campus)
INTAKE: Jul & Feb
Program Overview
The Bachelor of Science in Data Science program at the University of Western Australia (UWA) offers students a comprehensive education in the field of data science, combining elements of computer science, statistics, and domain-specific knowledge. This program equips students with the skills and knowledge needed to analyze large datasets, extract insights, and make data-driven decisions across various industries.
Curriculum: The curriculum of the Bachelor of Science in Data Science program at UWA is designed to provide students with a strong foundation in data science principles, techniques, and tools. Students study core subjects such as data analysis, machine learning, data visualization, programming, and database management. The curriculum also includes elective courses that allow students to specialize in areas such as big data analytics, business intelligence, data mining, or artificial intelligence.
Research Focus: Research is a central focus of the Bachelor of Science in Data Science program at UWA, with opportunities for students to engage in research projects, independent study, and collaborative research initiatives with faculty members. Faculty members conduct research in diverse areas of data science, including predictive modeling, data mining, deep learning, natural language processing, and data ethics. Students have opportunities to participate in research projects, apply cutting-edge techniques, and contribute to advancements in the field of data science.
Industry Engagement: UWA emphasizes industry engagement to provide students with practical experiences and connections that enhance their understanding of data science in real-world settings. Through internships, industry placements, research partnerships, and industry-sponsored projects, students have opportunities to gain hands-on experience, work on real-world projects, and network with professionals in industries such as finance, healthcare, marketing, and technology. Industry engagement helps students develop practical skills, gain industry insights, and explore career opportunities in data-driven fields.
Global Perspective: The Bachelor of Science in Data Science program at UWA fosters a global perspective, recognizing the global nature of data-driven industries and the importance of international collaboration in addressing global challenges. Students explore global issues such as data privacy, cybersecurity, and ethical considerations in data science. International study opportunities, exchange programs, and collaborations with global institutions further enrich students' global experiences and perspectives, preparing them to work in diverse cultural and international data science environments.
Location
Albany, Perth (Crawley campus)
Score
IELTS 6.5
Tuition Fee
AUD 43300
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 80% 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 82 with a minimum of 18 in each section.
- PTE (Pearson Test of English): Overall score of 65 with a minimum of 65 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.
The University of Western Australia (UWA) offers a range of scholarships to assist students with the cost of their education. These scholarships are available for both domestic and international students and cover a variety of disciplines.
UWA International Achievement Scholarship: This scholarship is awarded to high-achieving international students who are enrolled in an undergraduate or postgraduate course at UWA. The scholarship covers 50% of the tuition fee for up to one year.
UWA Global Excellence Scholarship: This scholarship is awarded to high-achieving international students who are enrolled in an undergraduate or postgraduate course at UWA. The scholarship covers up to AUD 45,000 over three years.
UWA Fogarty Foundation Scholarship: This scholarship is awarded to Western Australian students who have demonstrated academic excellence and leadership potential. The scholarship covers the full cost of tuition fees, accommodation, and an allowance for living expenses.
UWA Research Training Program Scholarship: This scholarship is awarded to domestic and international students who are enrolled in a research degree at UWA. The scholarship covers tuition fees and provides a stipend to assist with living expenses.
UWA Indigenous Scholarship: This scholarship is awarded to Indigenous Australian students who are enrolled in an undergraduate or postgraduate course at UWA. The scholarship covers the full cost of tuition fees and provides an allowance for living expenses.
UWA Sports Scholarship: This scholarship is awarded to students who demonstrate outstanding sporting ability and potential. The scholarship covers the full cost of tuition fees and provides an allowance for living expenses.
UWA Music Scholarships: These scholarships are awarded to students who demonstrate outstanding musical ability and potential. The scholarships cover the full cost of tuition fees and provide an allowance for living expenses.
Graduates of the Bachelor of Science in Data Science program at the University of Western Australia (UWA) are equipped with highly sought-after skills in data analysis, machine learning, and statistical modeling, making them valuable assets across various industries.
Data Scientist: Graduates can work as data scientists, leveraging their expertise in data analysis, statistical modeling, and machine learning to extract insights from large datasets and inform decision-making processes. They may work for tech companies, financial institutions, healthcare organizations, or government agencies, solving complex problems and driving business innovation.
Data Analyst: Graduates can pursue careers as data analysts, analyzing data to identify trends, patterns, and correlations that provide valuable insights for organizations. They may work in industries such as marketing, finance, or retail, helping companies optimize strategies, improve performance, and enhance customer experiences through data-driven decision-making.
Machine Learning Engineer: Graduates with expertise in machine learning can work as machine learning engineers, developing algorithms and models that enable computers to learn from data and make predictions or decisions. They may work on projects such as natural language processing, image recognition, or recommendation systems, applying machine learning techniques to solve real-world problems.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, transforming data into actionable insights that drive business strategy and performance. They may design and develop data visualizations, dashboards, and reports that help organizations monitor key metrics, identify opportunities, and make informed decisions to achieve their goals.
Big Data Engineer: Graduates can pursue careers as big data engineers, designing and managing systems that process and analyze large volumes of data efficiently. They may work with technologies such as Hadoop, Spark, or NoSQL databases, building scalable data pipelines and infrastructure to support organizations' data-driven initiatives.
Data Engineer: Graduates can work as data engineers, designing, building, and maintaining data infrastructure and systems that support data analysis and decision-making. They may work with technologies such as SQL, ETL (extract, transform, load) processes, and data warehouses, ensuring data quality, reliability, and accessibility for users and applications.
Quantitative Analyst: Graduates can work as quantitative analysts, using mathematical and statistical techniques to analyze financial data, model risk, and develop trading strategies for financial institutions. They may work in areas such as algorithmic trading, quantitative research, or risk management, applying quantitative methods to optimize investment decisions and manage financial risks.
Research Scientist: Graduates interested in advancing the field of data science can pursue careers as research scientists, conducting research and development in areas such as machine learning, artificial intelligence, or data ethics. They may work in academia, research institutions, or corporate research labs, contributing to scientific discovery and technological innovation in data science.
Consultant: Graduates can work as data science consultants, providing strategic advice, technical expertise, and project management services to organizations seeking to leverage data for competitive advantage. They may work for consulting firms, technology companies, or as independent contractors, helping clients develop data-driven strategies, implement analytics solutions, and optimize business processes.
Entrepreneur: Graduates with entrepreneurial aspirations can start their own data-driven businesses, developing innovative products, services, or solutions that address market needs or solve societal challenges. They may launch startups, build data-driven platforms, or develop analytics tools that help businesses make better decisions and drive growth.
