Master of Professional Accounting – Master of Business Administration
The Master of Professional Accounting – Master of Business Administration program...
Brisbane, Cairns
INTAKE: Jan, Mar, May, Jul, Sep & Oct
The Master of Data Science (Professional) program at James Cook University is a prestigious qualification designed to prepare students for leadership roles in the dynamic and data-driven field of data science. This program offers a range of notable features, including its curriculum, research emphasis, industry engagement, and global perspective.
Curriculum: The program's curriculum is thoughtfully structured to provide students with a solid understanding of data science, analytics, and its real-world applications. It covers a wide range of subjects, including data mining, machine learning, statistical analysis, big data technologies, and data visualization. The curriculum is designed to equip students with the skills and knowledge required for data science leadership roles.
Research Focus: James Cook University places a strong emphasis on research, and this extends to the Master of Data Science (Professional) program. Students have the opportunity to engage in research projects that delve into various aspects of data analysis, predictive modeling, and data-driven decision-making. This research focus cultivates students' critical thinking skills and equips them to make informed decisions and contribute to the ongoing development of the data science field.
Industry Engagement: A standout feature of this program is its strong connection with the data science and analytics sectors. JCU collaborates with data-driven companies, tech firms, and research organizations. Students benefit from internships, industry placements, practical experience, and guest lectures by industry professionals, ensuring they gain a deep understanding of real-world data challenges and opportunities. This industry-oriented approach prepares graduates for leadership roles in various data science and analytics organizations.
Global Perspective: Recognizing the importance of a global outlook in data science, James Cook University integrates international insights into the program. Students are encouraged to appreciate the global dynamics of data analytics, preparing them for careers that may involve international data collaborations and working with diverse datasets. JCU also offers opportunities for international research collaborations, exposure to global data challenges, and the chance to work with international data sets.
Brisbane, Cairns
IELTS 6.5
AUD 34960
Postgraduate Entry Requirements
Academic Qualifications: International students seeking admission to postgraduate programs at JCU are generally required to have a minimum of 60% or above in their prior academic qualifications. Specific programs may have varying entry requirements based on academic background and program specialization.
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.
JCU is supporting international students in their pursuit of higher education. The university offers various scholarships designed to assist eligible students in achieving their academic and career goals.
Graduates of the Master of Data Science (Professional) program at James Cook University have a wide array of career options available to them.
Data Scientist: Data scientists use their skills to extract valuable insights from data and make data-driven decisions.
Machine Learning Engineer: These professionals develop and implement machine learning models and algorithms.
Data Analyst: Data analysts focus on collecting, analyzing, and visualizing data to support business decisions.
Business Intelligence Analyst: Business intelligence analysts create data dashboards and reports to aid in business decision-making.
Big Data Engineer: Big data engineers work with large datasets, managing and optimizing data storage and processing.
Data Science Consultant: Graduates can provide consulting services to organizations looking to leverage data science for business growth.
Quantitative Analyst (Quant): Quants work in finance and use data analysis for financial modeling and risk management.
Data Science Researcher: Research roles in academia or industry involve advancing the field through new methodologies and techniques.
Chief Data Officer (CDO): Some graduates may reach executive-level positions overseeing data strategies and governance.
Database Administrator: Database administrators manage and maintain an organization's databases and data systems.
Data Visualization Specialist: These professionals create visual representations of data to facilitate understanding and decision-making.
Healthcare Data Analyst: Graduates can work in the healthcare sector, analyzing patient data and improving healthcare outcomes.
Environmental Data Scientist: Environmental data scientists use data to address environmental challenges, such as climate change and resource management.
Social Media Data Analyst: These analysts focus on analyzing data from social media platforms to inform marketing and engagement strategies.
Cybersecurity Analyst: Cybersecurity analysts use data to detect and prevent security threats and breaches.