Master of Project Management
The Master of Project Management offered by Swinburne University is a ...
Master of Data Science
Hawthorn
INTAKE: Jul & Feb
Program Overview
The Master of Data Science program at Swinburne University is an exceptional academic offering meticulously designed to provide students with the knowledge and skills necessary to excel in the field of data science. This program is recognized for its emphasis on producing future leaders in the industry through a comprehensive and contemporary curriculum.
Curriculum: The curriculum of the Master of Data Science at Swinburne University is thoughtfully crafted to offer a well-rounded educational experience. Students engage with a diverse range of subjects, covering fundamental data science principles, statistical analysis, machine learning, data visualization, and emerging trends in the field. The program seamlessly integrates theory with practical, hands-on projects, ensuring that graduates are equipped to address the real-world challenges of data science.
Research Focus: Swinburne University maintains a strong research excellence, and this extends to the Master of Data Science program. Students have access to cutting-edge research facilities and resources, enabling them to participate in innovative research projects aimed at addressing real challenges in the field of data science. This research emphasis fosters critical thinking skills and allows students to contribute to advancements in the field.
Industry Engagement: A hallmark of the program is its substantial emphasis on industry engagement. Swinburne University has established extensive partnerships with key players in the data science sector. These collaborations provide students with valuable opportunities for internships, cooperative work placements, and industry-led projects, ensuring that graduates are well-connected and prepared to make an immediate impact in the field.
Global Perspective: In an era of global interconnectedness, a global perspective is essential for success. Swinburne University values diversity and provides students with a global outlook through international collaborations and study abroad programs. The Master of Data Science program encourages students to explore international data science practices and trends, preparing them to work effectively in a global context.
Location
Hawthorn
Score
IELTS 6.5
Tuition Fee
AUD 38600
Postgraduate Entry Requirements:
Academic Qualifications: Swinburne University typically requires a minimum of 65% and above in the qualifying examination for postgraduate programs.
English Language Proficiency:
- IELTS: Overall score of 6.5 or 7.0, with a minimum score of 6.
- TOEFL: Overall score of 79, with minimum section scores of listening 12, reading 13, writing 20, and speaking 18.
- PTE: Overall score of 58, with a minimum score of 50.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Swinburne University offers a range of scholarships designed to assist international students in achieving their educational goals. These scholarships are awarded based on various criteria, including academic merit, financial need, and specific areas of study.
- Swinburne International Excellence Scholarship: This merit-based scholarship recognizes outstanding academic achievements. It provides financial support to high-achieving international students pursuing undergraduate or postgraduate degrees.
- Swinburne Sports Excellence Scholarship: Aimed at supporting talented athletes, this scholarship assists international students who excel in sports while pursuing their academic studies at Swinburne.
- Swinburne Student Achievement Award: Recognizing not only academic achievements but also contributions to the community, this scholarship provides financial support and acknowledges a holistic approach to personal growth and success.
- Government Scholarships: Swinburne University collaborates with various governments and organizations worldwide to provide scholarships and sponsorships for international students from specific countries. These opportunities vary by nation and are offered in conjunction with external partners.
Graduates of the Master of Data Science program at Swinburne University are well-prepared to pursue a wide range of rewarding career opportunities in the field of data science.
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Data Scientist: Graduates can work as data scientists, responsible for collecting, analyzing, and interpreting data to drive data-driven decisions.
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Machine Learning Engineer: Machine learning engineers specialize in developing machine learning algorithms and models for predictive analysis.
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Data Analyst: Data analysts focus on analyzing data and presenting insights to assist organizations in making informed decisions.
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Business Intelligence Analyst: These professionals help businesses by turning data into actionable intelligence for strategic planning.
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Big Data Engineer: Big data engineers work on managing and analyzing large datasets, often using big data technologies and tools.
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Data Science Consultant: Graduates can choose careers as data science consultants, offering expertise to businesses in leveraging data for competitive advantage.
