Master of Accounting
The Master of Accounting program at Flinders University is designed to prepare students...
Master of Data Science
Tonsley Festival, Plaza CBD
INTAKE: Mar & Jul
Program Overview
The Master of Data Science program at Flinders University is a cutting-edge and comprehensive degree designed to equip students with the knowledge and skills essential for a successful career in the dynamic field of data science.
Curriculum: Flinders University offers a well-structured and contemporary curriculum for the Master of Data Science program. The coursework covers a wide spectrum of subjects, including data analysis, machine learning, statistical modeling, and data-driven decision-making. The curriculum is carefully designed to provide students with the expertise and competencies required to excel in the field of data science. It is regularly updated to incorporate the latest advancements in data science, ensuring that graduates are well-prepared to address the evolving challenges in this field.
Research Focus: Flinders University is dedicated to promoting research excellence, and this focus extends to the Master of Data Science program. Students have the opportunity to engage in research projects and collaborate with experienced faculty members who are actively involved in data science research initiatives. This research-oriented approach allows students to gain valuable insights and practical experience, contributing to the advancement of data science knowledge and practice.
Industry Engagement: The university maintains strong connections with businesses, data science firms, and research institutions, providing students with valuable opportunities for industry engagement. The Master of Data Science program offers practical experiences, internships, and the chance to work on real-world data science projects, ensuring that students gain hands-on experience and exposure to actual data-driven decision-making settings. This engagement not only enhances students' understanding of the field but also significantly increases their employability upon graduation.
Global Perspective: Flinders University recognizes the global importance of data science. The Master of Data Science program places a strong emphasis on developing a global perspective. Students are exposed to international best practices in data science, cross-cultural perspectives on data-driven decision-making, and global trends in data science applications. This exposure ensures that graduates are well-prepared to work on complex data science projects and address a wide range of data-related challenges worldwide.
Location
Tonsley Festival, Plaza CBD
Score
IELTS 6.5
Tuition Fee
AUD 35500
Postgraduate Entry Requirements
Academic Qualifications: Applicants should hold a relevant bachelor's degree or equivalent qualification with a minimum academic performance equivalent to 65% or above in their home country's grading system. Specific entry requirements may vary by program, so it's essential to review the requirements for your chosen course.
English Language Proficiency:
- IELTS: An overall score of 6.5 or 7.0, with a minimum score of 6.0 in each band.
- TOEFL: An overall score of 72, with no band scores less than 18.
- PTE: An overall score of 50, with a minimum of 50 in each communicative skill.
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.
Flinders University is recognizing and rewarding the academic excellence and achievements of international students. The university offers a variety of scholarships and financial aid opportunities to help ease the financial burden of pursuing higher education in Australia.
- Flinders University Scholarship for International Students: This scholarship is available to international students pursuing undergraduate or postgraduate coursework programs. It offers a partial tuition fee waiver, making education more accessible.
- Australia Awards Scholarships: These scholarships are offered in collaboration with the Australian government and are aimed at students from participating countries in the Asia-Pacific region. They provide financial support for undergraduate and postgraduate studies.
- Flinders Foundation Scholarship: This scholarship is dedicated to supporting high-achieving students across various fields of study. It covers a portion of the tuition fees for international students.
- Flinders Humanitarian Scholarship Fund: Designed to assist refugees and humanitarian entrants, this scholarship provides financial support to cover tuition fees and contribute to living expenses.
- Flinders Pro Vice-Chancellor International Excellence Scholarship: This scholarship is awarded to high-achieving international students pursuing postgraduate coursework programs. It offers a substantial tuition fee reduction.
- Endeavour Scholarships and Fellowships: These scholarships are funded by the Australian government and are available to international students for study, research, or professional development in Australia. They cover a range of academic fields.
- Country-specific Scholarships: Flinders University offers scholarships tailored to students from specific countries or regions. These scholarships may include tuition fee waivers or financial support.
- Faculty-specific Scholarships: Some faculties and departments within Flinders University offer scholarships to international students pursuing degrees in particular fields of study. These scholarships may include financial assistance and academic support.
Upon successful completion of the Master of Data Science program at Flinders University, graduates have a wide array of career options 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 extract valuable insights and drive informed business decisions.
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Machine Learning Engineer: Those with expertise in data science can become machine learning engineers, developing and implementing machine learning models and algorithms.
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Big Data Analyst: Graduates may choose roles as big data analysts, focusing on processing and analyzing large volumes of data to uncover patterns and trends.
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Data Science Consultant: Those interested in consulting can work as data science consultants, helping organizations leverage data for strategic advantage and decision-making.
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Chief Data Officer: Graduates can aspire to become Chief Data Officers, responsible for an organization's data strategy, governance, and data-driven decision-making processes.
