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Bachelor of Data Science and Analytics
Wollongong
INTAKE: February
Program Overview
The Bachelor of Data Science and Analytics program at the University of Wollongong (UOW) equips students with the skills and knowledge to harness the power of data in today's digital world. This program blends computer science, statistics, and domain-specific knowledge to analyze large datasets, extract meaningful insights, and drive data-driven decision-making across industries. Students learn cutting-edge techniques in data mining, machine learning, data visualization, and predictive analytics.
Curriculum: The curriculum of the Bachelor of Data Science and Analytics at UOW covers foundational courses in mathematics, statistics, programming languages (such as Python and R), and database management. Advanced topics include artificial intelligence, big data technologies, data ethics, and cloud computing. Practical projects and case studies allow students to apply theoretical knowledge to real-world datasets, preparing them for careers in data science and analytics.
Research Focus: UOW emphasizes research within the Bachelor of Data Science and Analytics program, encouraging students to explore innovative research projects. Research areas include computational statistics, natural language processing, image and video analytics, and cybersecurity analytics. Students have opportunities to collaborate with faculty on research initiatives, enhancing their analytical skills and contributing to advancements in data science.
Industry Engagement: The university fosters strong industry engagement through partnerships with leading tech companies, financial institutions, healthcare providers, and government agencies. Industry collaborations offer students internships, work placements, and access to industry mentors. Guest lectures by industry experts and workshops on industry-relevant tools and technologies ensure that students are well-prepared for careers in data-driven industries.
Global Perspective: With a global perspective integrated into its curriculum, UOW prepares students to address global challenges in data science and analytics. The program includes modules on global data privacy laws, ethical considerations in data analytics, and cross-cultural applications of data-driven strategies. Students may participate in international study tours, exchange programs, or collaborative research projects with global partners, gaining exposure to diverse data ecosystems and cultural perspectives.
Location
Wollongong
Score
IELTS 6
Tuition Fee
AUD 35568
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% 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 86 with a minimum of 22 in each section.
- PTE (Pearson Test of English): Overall score of 62 with a minimum of 54 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 Wollongong (UOW) in Australia is dedicated to fostering a diverse and inclusive academic community. To support international students in achieving their educational goals, UOW offers a range of scholarships tailored to various criteria and fields of study.
Vice-Chancellor's Academic Achievement Scholarship: This scholarship is offered to high-achieving international students who are commencing their undergraduate or postgraduate degree at the University of Wollongong.
University of Wollongong Australia Awards Scholarship: The Australia Awards Scholarship is a highly competitive program that provides financial assistance to high-achieving students from developing countries to study at UOW. Applicants must be citizens of an eligible participating country and be applying for a UOW full-time undergraduate or postgraduate program.
Bradman Foundation Scholarship: Named in honor of cricket legend Sir Donald Bradman, this scholarship supports students with exceptional sporting talent and academic abilities. International students must have a strong academic record and display outstanding skills in cricket or other sports to be eligible.
UOW Destination Australia Scholarships: The Destination Australia Scholarships are funded by the Australian Government and aim to support international students studying in regional areas, including Wollongong. UOW offers these scholarships to enhance the educational experience of students in regional campuses.
Graduating with a Bachelor of Data Science and Analytics from the University of Wollongong (UOW) opens doors to diverse and high-demand career opportunities in data-driven industries.
Data Scientist: Graduates can pursue careers as data scientists, analyzing complex datasets to extract valuable insights and inform business decisions. They apply statistical models, machine learning algorithms, and data visualization techniques to solve problems in fields such as finance, healthcare, marketing, and technology.
Business Intelligence Analyst: Graduates may work as business intelligence analysts, transforming raw data into actionable business intelligence. They design and develop dashboards, reports, and data visualizations to help organizations monitor performance, identify trends, and optimize operations.
Data Engineer: Graduates can become data engineers, responsible for designing, building, and maintaining data pipelines and infrastructure. They ensure efficient data acquisition, storage, and processing to support data-driven applications and analytics platforms within organizations.
Machine Learning Engineer: Graduates interested in artificial intelligence (AI) can work as machine learning engineers, developing and deploying machine learning models. They collaborate with data scientists to implement algorithms that automate decision-making processes and improve predictive accuracy.
Quantitative Analyst (Quant): Graduates with strong mathematical and statistical skills can pursue careers as quants in finance and investment firms. They develop algorithms and quantitative models to analyze financial data, assess investment risks, and optimize trading strategies.
Data Analyst: Graduates may work as data analysts, focusing on descriptive analytics to interpret data trends, generate reports, and provide insights to support business operations and strategic planning.
Big Data Consultant: Graduates can work as consultants, advising organizations on big data strategies, technologies, and implementations. They help businesses leverage large volumes of data to drive innovation, improve efficiency, and gain competitive advantage in their respective industries.
