Master of Business
The Master of Business (MBus) program at The University of Queensland is designed to eq...
Master of Data Science
St Lucia
INTAKE: Jul & Feb
Program Overview
The University of Queensland, located in Brisbane, Australia, offers a prestigious Master of Data Science program. This program is designed to equip students with the knowledge and skills necessary to excel in the dynamic and data-driven field of data science.
Curriculum: The Master of Data Science program at the University of Queensland provides a comprehensive curriculum that covers a wide range of topics in data science and analytics. Students engage in courses related to statistical analysis, machine learning, data visualization, and data mining.The curriculum is designed to provide a strong foundation in both theoretical and practical aspects of data science. Students have access to state-of-the-art data analytics tools and software, allowing them to work with real-world datasets and gain hands-on experience in data manipulation and analysis.
Research Focus: Research is a central component of the program, aligning with the University of Queensland's commitment to research excellence. Students have the opportunity to engage in research projects that explore cutting-edge areas within data science, including artificial intelligence, predictive modeling, and data-driven decision-making.Participating in research activities enables students to develop critical analytical and problem-solving skills while contributing to advancements in data science. Graduates often continue to make significant contributions to the field through research in academia, data-driven industries, research institutions, or government agencies.
Industry Engagement: The University of Queensland's Master of Data Science program maintains strong connections with industry leaders, data-driven companies, and technology organizations. These partnerships provide students with valuable exposure to industry standards, internships, and guest lectures from experienced data scientists.Students benefit from industry engagement by working on real-world data projects, collaborating with industry experts, and gaining insights into the practical applications of data science. This exposure not only enhances students' employability but also empowers them to address complex data challenges in various sectors.
Global Perspective: Data science is a globally relevant field, with data-driven insights and solutions applicable across industries and borders. The program encourages students to adopt a global perspective by facilitating international data science projects, research collaborations, and participation in global data science conferences.Graduates emerge with a profound understanding of the global nature of data challenges and the need for international collaboration. They are prepared for careers that may involve working on international data projects, engaging with diverse datasets, and addressing global data-driven problems.
Location
St Lucia
Score
IELTS 6.5
Tuition Fee
AUD 51200
Postgraduate Entry Requirements:
Academic Requirements: To be eligible for postgraduate programs at UQ, international students generally need to have completed a relevant undergraduate degree with a minimum academic achievement of 65% or above. Some programs may have specific prerequisites or higher academic requirements, so applicants should verify the entry criteria for their intended course.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: An overall score of 87 is generally accepted, with minimum section scores of 19 for listening, 19 for reading, 21 for writing, and 19 for speaking.
- PTE: A minimum overall score of 64 is typically expected, with a minimum score of 60 in each section.
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.
The University of Queensland (UQ) is fostering a diverse and inclusive academic community by offering a range of scholarships to support international students pursuing their higher education goals. These scholarships are designed to recognize and reward academic excellence, promote cultural diversity, and alleviate the financial burden of studying abroad.
UQ International Scholarships: UQ offers a variety of scholarships specifically tailored for international students. These scholarships are typically awarded based on academic merit, and eligibility criteria may vary depending on the specific scholarship program. These scholarships can provide financial support to cover tuition fees, living expenses, and other study-related costs.
Destination Australia Scholarship: UQ participates in the Australian Government's Destination Australia Scholarship program, which aims to attract and support international and domestic students to study in regional Australia. This scholarship provides financial assistance to international students studying at UQ's regional campuses, such as UQ Gatton.
Australia Awards Scholarships: UQ also hosts students who receive Australia Awards Scholarships, which are funded by the Australian government and aim to promote development and strengthen ties between Australia and participating countries. These scholarships cover tuition fees, living allowances, and other support.
External Scholarships and Sponsorships: UQ encourages international students to explore external scholarship opportunities and sponsorships that may be available through government agencies, private organizations, or foundations in their home countries.The university provides support and information to assist students in applying for external funding sources.
Research Scholarships: For international students pursuing research-based postgraduate programs (e.g., Ph.D. or research master's degrees), UQ offers a range of research scholarships that cover tuition fees and provide a living allowance. These scholarships are often awarded based on academic merit and research potential.
Graduates of the University of Queensland's Master of Data Science program are highly sought after in the rapidly evolving field of data science and analytics.
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Data Scientist: Data scientists analyze large datasets to extract valuable insights, develop predictive models, and make data-driven decisions for organizations.
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Machine Learning Engineer: Machine learning engineers design and implement machine learning algorithms and models for applications such as recommendation systems and image recognition.
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Data Analyst: Data analysts focus on collecting, cleaning, and interpreting data to provide actionable insights and support decision-making.
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Business Intelligence Analyst: Business intelligence analysts use data to generate reports, dashboards, and visualizations that aid in strategic planning and performance monitoring.
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Data Engineer: Data engineers build and maintain data pipelines, ensuring that data is collected, stored, and accessible for analysis.
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Quantitative Analyst (Quant): Quants work in finance, using data and mathematical models to inform investment strategies and risk management.
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Artificial Intelligence (AI) Researcher: AI researchers explore advanced AI techniques, including natural language processing and computer vision, to develop AI solutions.
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Data Consultant: Data consultants offer expertise in data analysis and provide guidance to organizations on data strategy and implementation.
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Chief Data Officer (CDO): CDOs lead data strategy within organizations, overseeing data governance, analytics, and data-driven decision-making.
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Academic Researcher/Professor: Some graduates choose academic careers, conducting research in data science and teaching the next generation of data scientists.
