Master of Finance
The Master of Finance program at Deakin University is renowned for its holistic approac...
Bachelor of Data Science
Burwood (Melbourne)
INTAKE: Mar & Jul
Program Overview
The Bachelor of Data Science program at Deakin University is designed to equip students with the skills and knowledge needed to thrive in the rapidly evolving field of data science. This interdisciplinary program integrates concepts from computer science, mathematics, statistics, and business to prepare graduates for careers in data analysis, artificial intelligence, machine learning, and data-driven decision-making across various industries.
Curriculum: The curriculum of the Bachelor of Data Science covers core topics such as programming languages (Python, R), data mining, statistical modeling, database systems, and big data analytics. Students also explore advanced topics such as machine learning, deep learning, data visualization, and cloud computing. The program emphasizes hands-on learning through practical projects, case studies, and industry-relevant assignments, ensuring graduates are proficient in applying theoretical knowledge to real-world data challenges.
Research Focus: Deakin University fosters a strong research focus within the Bachelor of Data Science program, with opportunities for students to engage in research projects alongside faculty members and industry partners. Research areas include predictive modeling, data ethics, cybersecurity, and applications of artificial intelligence in various domains. Students benefit from access to state-of-the-art research facilities and collaborative opportunities that enhance their research skills and contribute to innovations in data science.
Industry Engagement: The university maintains robust connections with industry leaders and organizations involved in data analytics, technology, finance, healthcare, and more. Industry partnerships provide students with internship opportunities, guest lectures from industry experts, and practical experiences that bridge the gap between academia and the workplace. These collaborations ensure that the curriculum remains relevant to industry needs, and graduates are well-prepared to meet the demands of the job market in data-intensive industries.
Global Perspective: Deakin University promotes a global perspective in the Bachelor of Data Science program by addressing global data challenges, cultural considerations in data analytics, and international collaborations. Students are encouraged to participate in global study tours, international research collaborations, or exchange programs to gain insights into global data trends, practices, and regulatory frameworks. This global outlook prepares graduates to work in diverse cultural and international settings, contributing to global data-driven initiatives and innovation.
Location
Burwood (Melbourne)
Score
IELTS 6
Tuition Fee
AUD 38600
Undergraduate Entry Requirements
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 6.0 in each component.
- TOEFL: Overall score of 79 with a minimum of 21 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.
Deakin University provides an array of scholarships designed to recognize and reward academic excellence, leadership potential, and specific fields of study.
Deakin International Scholarship: This scholarship is available to high-achieving international students applying for undergraduate and postgraduate coursework programs. It provides a partial tuition fee waiver, making Deakin's quality education more affordable.
Deakin Vice-Chancellor's International Scholarship: This scholarship is awarded to exceptional international students who have demonstrated academic excellence. It covers a significant portion of tuition fees, enhancing the value of a Deakin education.
Deakin STEM Scholarship: For students pursuing science, technology, engineering, or mathematics (STEM) programs, this scholarship recognizes and rewards their dedication to these fields. It provides financial support to help students achieve their STEM-related academic goals.
Regional Scholarships: Deakin University is supporting students from specific regions, including South Asia, Southeast Asia, Latin America, and the Middle East. These regional scholarships provide financial assistance to students from these areas to enhance their educational experience at Deakin.
Faculty-specific Scholarships: Deakin offers scholarships tailored to different faculties and areas of study, such as business, health, and arts and education. These scholarships are designed to reward academic excellence and dedication to specific fields.
Sports Scholarships: Deakin recognizes the value of sports and provides scholarships to talented athletes who wish to balance their education with competitive sports.
Graduates of Deakin University’s Bachelor of Data Science program are well-prepared to pursue diverse and high-demand career paths in the rapidly growing field of data science and analytics. This program equips students with the skills and knowledge needed to harness the power of data to drive decision-making, innovation, and business strategies across various industries.
Data Scientist: Data scientists analyze large datasets using statistical methods, machine learning algorithms, and programming languages to extract meaningful insights and patterns. They work in sectors such as finance, healthcare, e-commerce, and technology to inform business strategies, optimize operations, and develop predictive models.
Machine Learning Engineer: Machine learning engineers design, implement, and deploy machine learning algorithms and models that enable systems to learn from data and make autonomous decisions. They collaborate with data scientists and software developers to build scalable machine learning solutions for applications like recommendation systems and autonomous vehicles.
Business Intelligence Analyst: Business intelligence analysts transform complex data into actionable insights that support strategic business decisions. They design and maintain data dashboards, conduct data visualizations, and perform statistical analysis to help organizations improve efficiency, identify market trends, and enhance competitive advantage.
Data Engineer: Data engineers build and maintain the infrastructure and pipelines necessary to collect, process, and store large volumes of data. They design databases, optimize data workflows, and ensure data quality and reliability to support data-driven applications and analytics initiatives within organizations.
Data Analyst: Data analysts interpret data to identify trends, patterns, and correlations that inform operational and strategic decisions. They use statistical tools, data visualization techniques, and domain knowledge to provide insights into customer behavior, market trends, and operational efficiencies across industries such as marketing, finance, and healthcare.
Quantitative Analyst (Quant): Quants develop mathematical models and algorithms to analyze financial markets, risk management strategies, and investment opportunities. They work for financial institutions, hedge funds, and investment firms to leverage data-driven insights for trading, portfolio optimization, and financial forecasting.
Big Data Architect: Big data architects design and manage the architecture of large-scale data systems that process and store massive volumes of structured and unstructured data. They implement scalable solutions using technologies like Hadoop, Spark, and cloud platforms to support real-time analytics and business intelligence initiatives.
Data Privacy and Security Specialist: Data privacy and security specialists ensure compliance with data protection regulations and safeguard sensitive information from unauthorized access and breaches. They develop security protocols, conduct audits, and educate organizations on best practices for data governance and cybersecurity.
Research Scientist: Research scientists conduct applied research in data science, exploring advanced topics such as artificial intelligence, natural language processing, and computer vision. They contribute to academic research, collaborate with industry partners on innovation projects, and publish findings that advance the field of data science.
Consultant/Data Strategy Analyst: Data strategy analysts and consultants advise organizations on data-driven strategies, helping them harness data to achieve business objectives, improve operational efficiency, and innovate. They assess data maturity, develop roadmaps for digital transformation, and provide recommendations for implementing data governance frameworks.
