Master of Finance
The Master of Finance program at Deakin University is renowned for its holistic approac...
Master of Data Science (Professional)
Burwood - Melbourne
INTAKE: Mar & Jul
Program Overview
Deakin University's Master of Data Science (Professional) program is tailored to equip students with advanced knowledge and practical skills in data science. It provides a comprehensive understanding of data analysis, machine learning, data visualization, and the application of data science in various industries.
Curriculum: The curriculum of the program is meticulously designed to cover a wide array of topics in data science. Students delve into areas such as data mining, statistical analysis, programming in languages like Python, and big data technologies. The program also includes practical projects, allowing students to work on real-world data science challenges.
Research Focus: Deakin University is known for its strong research culture, and this is integrated into the Master of Data Science (Professional) program. Students have the opportunity to engage in research projects, collaborate with faculty, and explore the latest developments in data science. This research component enhances students' critical thinking skills and equips them with the latest insights in the field.
Industry Engagement: Deakin's program places a strong emphasis on industry engagement, providing students with invaluable exposure to the data science sector. The university collaborates with tech companies, data-driven organizations, and experts in the field, offering opportunities for internships, practical experience, and networking. This practical exposure is essential in preparing students for data science careers.
Global Perspective: In the data science field, a global perspective is crucial. The Master of Data Science (Professional) program at Deakin University prepares students to work in diverse, multicultural settings and consider international aspects of data analysis. It also offers opportunities for international study experiences and collaborations with global data science leaders.
Location
Burwood - Melbourne
Score
IELTS 6.5
Tuition Fee
AUD 36400
Postgraduate Entry Requirements:
Academic Qualifications: To apply for postgraduate programs at Deakin, international students are generally required to have achieved a minimum of 60% or equivalent in their prior academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0, with no individual band score lower than 6.
- TOEFL: An overall score of 79, with a minimum of 16 in listening and reading, 21 in writing, and 18 in speaking.
- PTE: Overall score of 58, with a minimum of 50 in all communicative skills.
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.
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.
- Deakin Alumni Postgraduate Bursary: This bursary supports Deakin alumni who wish to pursue postgraduate studies at the university. It offers a tuition fee reduction, making advanced education more accessible.
- 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.
Upon successfully completing the Master of Data Science (Professional) program at Deakin University, graduates are well-prepared to pursue various career options in the field of data science.
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Data Scientist: Graduates can become data scientists, using data to provide insights and solutions to organizations.
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Machine Learning Engineer: Students may choose to work as machine learning engineers, developing and implementing machine learning models and algorithms.
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Data Analyst: The program equips students to work as data analysts, focusing on data interpretation and visualization to support decision-making.
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Business Intelligence Analyst: Graduates can pursue careers as business intelligence analysts, providing data-driven insights to drive business strategies.
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Data Engineer: Students can work as data engineers, responsible for data collection, storage, and data pipeline development.
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AI Specialist: The program prepares students for roles as AI specialists, focusing on artificial intelligence applications and solutions.
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Big Data Consultant: Graduates may choose to work as big data consultants, advising organizations on handling and analyzing large datasets.
