Master of Accounting
Macquarie University, located in Sydney, Australia, is renowned for its excellence in e...
North Ryde - Sydney
INTAKE: Jul & Feb
The Master of Data Science program at Macquarie University is tailored to meet the increasing demand for data professionals in today's data-driven world. This program offers a comprehensive curriculum that encompasses data analysis, machine learning, and statistical modeling, providing students with a strong foundation in data science principles and techniques.
Curriculum: Macquarie University's Master of Data Science program features a rigorous curriculum that covers essential topics in data science, including data preprocessing, data visualization, predictive modeling, and big data analytics. Students gain proficiency in using cutting-edge tools and programming languages.
Research Focus: The program places a significant emphasis on research, allowing students to engage in hands-on projects and research collaborations with faculty and industry partners. This research focus fosters critical thinking and problem-solving skills.
Industry Engagement: Macquarie University is committed to bridging the gap between academia and industry. The program offers opportunities for students to work on real-world projects, internships, and industry partnerships, enabling them to gain practical experience and establish valuable professional connections.
Global Perspective: With a diverse student body and a faculty composed of international experts, Macquarie University provides a global perspective on data science. Students benefit from exposure to diverse perspectives and global data challenges, enhancing their adaptability and marketability.
North Ryde - Sydney
IELTS 6.5
AUD 42600
Postgraduate Entry Requirements:
Academic Qualifications: Applicants are generally required to hold a bachelor's degree or its equivalent from a recognized institution. The minimum academic achievement for postgraduate admission is typically 65% or above, as evaluated by the university.
English Language Proficiency:
Students must provide:
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.
Macquarie University is providing opportunities to support students with their educational journey through various scholarship programs. These scholarships are designed to help students achieve their academic goals and alleviate financial stress.
Graduates of Macquarie University's Master of Data Science program are well-positioned for a wide range of career opportunities in the rapidly growing field of data science.
Data Scientist: Graduates can work as data scientists, leveraging their expertise in data analysis and machine learning to extract insights and make data-driven decisions for organizations.
Machine Learning Engineer: Those with a focus on machine learning can pursue roles as machine learning engineers, designing and implementing machine learning algorithms and models.
Data Analyst: Graduates can become data analysts, responsible for collecting, processing, and interpreting data to provide valuable insights for decision-making.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, helping organizations analyze data to improve business operations and strategies.
Data Engineer: Those with expertise in data engineering can pursue roles as data engineers, building and maintaining data pipelines and infrastructure.
AI Researcher: For those interested in research, the program provides a strong foundation for pursuing roles as AI researchers in academia, research institutions, or technology companies.