Master of Architectural Science (Research)
Victoria University of Wellington, based in New Zealand, offers a comprehensive Master ...
Master of Data Science
Wellington
INTAKE: February
Program Overview
Victoria University of Wellington, located in New Zealand's capital, offers a comprehensive Master of Data Science program designed to equip students with advanced skills in data analysis, machine learning, and statistical methods. This postgraduate degree is structured to meet the demands of the evolving field of data science.
Curriculum: The curriculum of the Master of Data Science at Victoria University of Wellington integrates a blend of theoretical foundations and practical applications. Students delve into core subjects such as data mining, statistical modeling, machine learning, data visualization, and big data analytics. Additionally, the program emphasizes the utilization of programming languages like Python, R, and SQL for data manipulation and analysis. Students also engage in projects and case studies to gain hands-on experience and develop problem-solving abilities in real-world scenarios.
Research Focus: Victoria University of Wellington fosters a research-intensive environment within its Master of Data Science program. Faculty members are actively involved in cutting-edge research across various domains within data science, including but not limited to natural language processing, computer vision, predictive modeling, and data ethics. Students have the opportunity to collaborate on research projects, contributing to advancements in the field and gaining valuable insights from ongoing research initiatives.
Industry Engagement: The university maintains strong ties with industry partners, offering students ample opportunities for practical experience and industry exposure. Through partnerships with leading companies and organizations, students can participate in internships, industry projects, and networking events. This engagement provides a bridge between academic learning and real-world applications, preparing graduates to excel in diverse professional settings within the data science industry.
Global Perspective: Victoria University of Wellington prides itself on its global outlook and diverse student body. The Master of Data Science program attracts students from various cultural backgrounds, fostering a dynamic and multicultural learning environment. Additionally, the university has collaborative agreements and exchange programs with international institutions, allowing students to gain a global perspective and expand their networks in the field of data science on a global scale.
Location
Wellington
Score
IELTS 6.5
Tuition Fee
NZD 42050
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 of the Master of Data Science program at Victoria University of Wellington are well-equipped with in-demand skills, positioning them for various rewarding career paths in the rapidly evolving field of data science.
Data Scientist/Analyst: With a solid foundation in data analysis, machine learning, and statistical modeling, graduates can pursue roles as data scientists or analysts. They work on collecting, processing, and interpreting complex data sets to derive valuable insights, aiding in informed decision-making for businesses and organizations.
Machine Learning Engineer: Proficiency in machine learning techniques and algorithms allows graduates to delve into roles as machine learning engineers. They develop and implement machine learning models and systems that drive automation and intelligence in various applications, from recommendation systems to predictive analytics.
Business Intelligence (BI) Specialist: Skilled in data visualization and analytics, graduates can excel as BI specialists, helping organizations transform raw data into actionable insights. They design dashboards and reports, enabling businesses to make data-driven decisions for enhanced performance.
Data Engineer: Proficiency in big data technologies and database management prepares graduates for roles as data engineers. They are responsible for building and maintaining data infrastructure, ensuring efficient data collection, storage, and retrieval for analysis.
AI Researcher/Scientist: For those inclined towards research, opportunities exist as AI researchers or scientists. Graduates can contribute to advancing artificial intelligence through research initiatives, working on developing innovative algorithms and applications.
Consultant/Advisor: Equipped with a diverse skill set, graduates can work as data science consultants or advisors, offering expertise to organizations seeking guidance on leveraging data for strategic planning, optimization, and growth.
Entrepreneur/Startup Founder: Armed with comprehensive knowledge in data science, graduates might venture into entrepreneurship, founding startups centered around innovative data-driven solutions or products.
Public Sector/Data Governance Roles: Opportunities also exist in the public sector or data governance roles where graduates contribute to policy-making, data ethics, and ensuring responsible use of data in governmental or regulatory bodies.
