Master of Architectural Science (Research)
Victoria University of Wellington, based in New Zealand, offers a comprehensive Master ...
Master of Science - Data Science
Wellington
INTAKE: Jul & Feb
Program Overview
Victoria University of Wellington offers a comprehensive Master of Science program specializing in Data Science, blending coursework and research through a thesis. This program is designed to equip students with the theoretical knowledge, practical skills, and research expertise required in the rapidly evolving field of data science.
Curriculum: The Master of Science in Data Science program at Victoria University of Wellington offers a well-structured curriculum encompassing a range of courses. These cover foundational topics such as statistical analysis, machine learning, data mining, big data technologies, data visualization, and ethics in data science. The coursework is designed to provide students with a solid understanding of both theoretical concepts and practical applications in the field.
Research Focus: Central to the program is the integration of research methodologies into the curriculum. Students engage in a thesis project, allowing them to conduct in-depth research on a specialized area within data science. This research focus enables students to explore emerging trends, address industry challenges, and contribute to the advancement of data science through their original research.
Industry Engagement: Victoria University of Wellington fosters strong ties with the industry, providing students with opportunities for industry engagement. Partnerships with leading tech companies, research institutions, and governmental organizations facilitate internships, collaborative projects, and guest lectures. This industry engagement ensures students gain practical exposure, relevant experience, and insights into real-world applications of data science.
Global Perspective: The Master of Science in Data Science program emphasizes a global perspective in understanding data science methodologies and applications. The curriculum integrates international case studies, explores global trends in data science, and encourages participation in global research collaborations or exchange programs. This global approach broadens students' perspectives and exposes them to diverse methodologies used in data science across different regions.
Location
Wellington
Score
IELTS 6.5
Tuition Fee
NZD 40450
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 20.
- 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.
Victoria University of Wellington offers a variety of scholarships and financial aid options specifically designed to support international students pursuing their academic endeavors. These scholarships are aimed at assisting students in covering tuition fees, living expenses, and other costs associated with studying in New Zealand.
International Scholarships: The university provides a range of merit-based scholarships for outstanding international students entering undergraduate, postgraduate, and doctoral programs. These scholarships often consider academic achievements, leadership qualities, and community involvement.
Faculty-Specific Scholarships: Several faculties within the university offer their own scholarships tailored to specific fields of study. These awards recognize excellence in particular disciplines and may support international students pursuing degrees within those faculties.
Research Grants and Fellowships: For postgraduate students engaging in research, Victoria University offers research grants and fellowships to support their projects. These grants can cover research expenses, conference participation, or living stipends during the research period.
Study Abroad and Exchange Scholarships: International students participating in study abroad or exchange programs facilitated by Victoria University can access scholarships to assist with travel expenses, accommodation, and other study-related costs during their exchange period.
Government and External Scholarships: Additionally, international students may be eligible for scholarships offered by the New Zealand government, international organizations, and external funding bodies. These scholarships often have specific eligibility criteria and application procedures.
Graduates from Victoria University of Wellington's Master of Science in Data Science program possess a versatile skill set, enabling them to pursue diverse and in-demand career pathways within the field.
Data Scientist/Analyst: Many graduates secure roles as data scientists or analysts in various industries such as technology, finance, healthcare, marketing, and more. They analyze complex datasets, derive insights, build predictive models, and provide actionable recommendations to drive business strategies and decision-making.
Machine Learning Engineer: With expertise in machine learning algorithms and techniques, graduates may opt for roles as machine learning engineers. They develop and deploy machine learning models, work on automation, and contribute to the creation of intelligent systems across industries.
Big Data Architect/Engineer: Some graduates specialize in big data infrastructure and architecture. They design, build, and manage big data solutions, ensuring scalability, efficiency, and security of data systems within organizations.
Data Consultant/Advisor: Graduates may work as data consultants or advisors, offering expertise to organizations seeking guidance in leveraging data effectively. They help companies optimize their data strategies, implement best practices, and identify opportunities for growth through data-driven insights.
Research Scientist in Data Science: For those inclined towards research, careers in academia or research institutions await. Graduates can pursue roles as research scientists, delving into advanced studies, exploring new methodologies, and contributing to the evolving field of data science.
Business Intelligence (BI) Analyst/Developer: Individuals with a penchant for translating data into actionable insights may choose careers as BI analysts or developers. They design and implement BI solutions, creating reports, dashboards, and visualizations to assist organizations in data-driven decision-making.
Data Governance and Compliance Specialist: Some graduates focus on ensuring data integrity, privacy, and compliance within organizations. They work as data governance specialists, setting policies, managing risks, and ensuring adherence to regulations in handling data.
Startup Entrepreneur/Innovator: Entrepreneurial graduates may venture into starting their own data-driven startups or innovate within established companies. They identify niche opportunities, develop innovative products, or offer specialized data-related services.
