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Master of Data Science

Burwood - Melbourne

 

INTAKE: Mar, Jul & Nov

Program Overview

Deakin University's Master of Data Science program is meticulously designed to provide students with advanced knowledge and practical skills in data science. It offers a comprehensive understanding of data analytics, data visualization, machine learning, and big data technologies.

Curriculum: The program's curriculum is thoughtfully structured to cover a wide range of advanced topics in data science. Students delve into areas such as statistical analysis, data mining, predictive modeling, and data-driven decision-making. The program also includes hands-on projects, enabling students to apply their learning to real-world data challenges.

Research Focus: Deakin University is renowned for its strong research culture, and this ethos is seamlessly integrated into the Master of Data Science program. Students have the opportunity to engage in research projects related to data science, collaborate with faculty on cutting-edge research, and stay at the forefront of developments in the field. This research component enhances students' problem-solving skills and research expertise while keeping them updated with emerging trends in data science.

Industry Engagement: Deakin's program places a strong emphasis on industry engagement, providing students with invaluable exposure to the field of data science. The university collaborates with data-driven companies, technology firms, and data scientists, offering opportunities for internships, practical experience, and networking. This practical exposure is vital in preparing students for influential roles in data science, whether in data analytics, machine learning, or business intelligence.

Global Perspective: In the field of data science, a global perspective is essential. The Master of Data Science program at Deakin University prepares students to work with data on a global scale, adapt to different data contexts, and understand the importance of data-driven decision-making in a globalized world. It also offers opportunities for international study experiences and collaborations with global leaders in data science.

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Location

Burwood - Melbourne

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Score

IELTS 6.5

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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. 

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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 program at Deakin University, graduates are well-prepared to pursue various career options in the field of data science.

  1. Data Scientist: Graduates can work as data scientists, using their expertise to analyze data, develop insights, and make data-driven decisions.

  2. Machine Learning Engineer: Students may choose to work as machine learning engineers, focusing on developing machine learning algorithms and models.

  3. Business Intelligence Analyst: In this role, individuals analyze data to provide insights that inform business strategies and decision-making.

  4. Data Analyst: Graduates can become data analysts, specializing in the interpretation and visualization of data.

  5. Big Data Engineer: In the realm of big data, individuals manage and analyze large datasets, often in real-time.

  6. Data Consultant: Students may work as data consultants, helping organizations optimize their data management and analytics.

  7. Quantitative Analyst: In the realm of finance, individuals apply data analysis to inform investment decisions.

  8. Research Scientist: Graduates may become research scientists, using data science in scientific research and experimentation.

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