Master of Medical Engineering Med Devices and Technologies
The University of Auckland, New Zealand, offers a cutting-edge Master of Medical Engine...
Master of Professional Studies - Data Science (Research)
Auckland, Epsom
INTAKE: Jul & Feb
Program Overview
The Master of Professional Studies in Data Science (Research) program at the University of Auckland is tailored for individuals seeking expertise in data science research methodologies and practices. It aims to develop professionals capable of utilizing data analytics and research techniques to derive insights and solutions from large datasets across various industries.
Curriculum: The program's curriculum is structured to cover advanced topics in data science. Courses include machine learning, data mining, statistical analysis, big data analytics, data visualization, and research methodologies. The curriculum integrates theoretical knowledge with practical applications to prepare students for real-world data science challenges.
Research Focus: Central to the program is its emphasis on research. Students engage in rigorous research projects focusing on data science under the mentorship of experienced faculty members. They delve into cutting-edge research topics, conduct data-driven studies, and contribute to the advancement of data science methodologies.
Industry Engagement: The University of Auckland emphasizes industry engagement by providing opportunities for students to apply data science concepts and methodologies in real-world settings. Partnerships with industry leaders, internships, or research projects with organizations enable students to gain practical experience and address industry-specific challenges.
Global Perspective: While focusing on data science practices, the program integrates a global perspective. It explores international trends, case studies, and best practices in data science applications across different regions, preparing graduates to work in a globally connected data-driven environment.
Location
Auckland, Epsom
Score
IELTS 7
Tuition Fee
NZD 38273
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs usually need a bachelor's degree or an equivalent qualification from a recognized institution. The entry requirement may specify a minimum score of 60% or higher in the previous academic degree.
English Language Proficiency:
- IELTS: Overall score of 6.5 or 7.0, with no band below 6.
- TOEFL: Overall score of 90 with no individual section below 21.
- PTE: Overall score of 58, with a minimum of 50 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 is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Auckland offers various scholarships specifically designed to support and encourage international students in their academic pursuits. These scholarships aim to attract high-achieving students from around the world and provide financial assistance to help them achieve their educational goals at the university.
Merit-Based Scholarships: The University of Auckland offers merit-based scholarships recognizing academic excellence. These scholarships are awarded to students with outstanding academic achievements in their previous studies, supporting them throughout their undergraduate or postgraduate programs.
Need-Based Grants: For students facing financial challenges, the university provides need-based grants to assist with tuition fees or living expenses. These grants aim to ensure that deserving students have the opportunity to pursue their education without financial constraints.
Research Scholarships: The university also offers research scholarships for international students interested in pursuing research-based programs. These scholarships support students engaged in innovative research projects and contribute to the university's academic research endeavors.
Country-Specific Awards: Additionally, the University of Auckland provides scholarships specifically designated for students from certain countries. These awards aim to promote cultural diversity and international collaboration by attracting students from diverse geographical backgrounds.
Graduates from the Master of Professional Studies in Data Science (Research) program at the University of Auckland possess versatile skills highly sought after in today's data-driven industries.
Data Scientist/Analyst: Graduates can pursue roles as data scientists or analysts, leveraging their expertise in statistical analysis, machine learning, and data visualization to extract insights from complex datasets and drive data-informed decision-making.
Business Intelligence Analyst/Consultant: With their skills in data analysis and interpretation, graduates can work as business intelligence analysts or consultants, helping organizations translate data into actionable strategies for growth and development.
Machine Learning Engineer/Researcher: Proficient in machine learning algorithms, graduates can explore roles as machine learning engineers or researchers, contributing to the development of innovative algorithms and models for predictive analytics or artificial intelligence applications.
Data Engineer/Architect: They can pursue careers as data engineers or architects, responsible for designing and implementing data infrastructure, ensuring efficient data storage, integration, and accessibility.
Big Data Analyst/Specialist: Graduates may opt for roles as big data analysts or specialists, handling large-scale datasets and implementing technologies for data storage, processing, and analysis.
Data Visualization Specialist: With skills in data visualization tools, graduates can become data visualization specialists, creating compelling visual representations of data to facilitate easier comprehension and decision-making.
Research Scientist in Data Science: For those inclined towards research, graduates can explore roles as research scientists, contributing to advancements in data science methodologies, algorithms, or applications.
Predictive Modeler/Analytics Manager: They can work as predictive modelers or analytics managers, developing predictive models and overseeing analytics teams to derive insights that guide strategic decisions.
Data Science Consultant/Advisor: Graduates can provide consultancy services, offering expert guidance on data science strategies, methodologies, and implementation to various industries.
Healthcare Data Analyst/Informatics Specialist: In the healthcare sector, graduates can work as data analysts or informatics specialists, utilizing data-driven insights to improve patient care, operational efficiency, and medical research.
