Master of Medical Engineering Med Devices and Technologies
The University of Auckland, New Zealand, offers a cutting-edge Master of Medical Engine...
Master of Data Science
Auckland
INTAKE: Jul & Feb
Program Overview
The Master of Data Science program at the University of Auckland is designed to equip students with comprehensive knowledge and skills in data analysis, statistical modeling, machine learning, and data visualization. It focuses on preparing individuals for careers in the rapidly evolving field of data science by offering a blend of theoretical foundations and practical applications.
Curriculum: The curriculum covers a wide array of subjects, including data mining, statistical analysis, big data technologies, programming languages (such as Python and R), data visualization techniques, and machine learning algorithms. Students engage in hands-on projects, case studies, and real-world data sets to gain practical experience.
Research Focus: The program emphasizes research methodologies and encourages students to delve into data-driven research projects. Students have the opportunity to explore diverse research areas within data science, contributing to advancements in fields like healthcare, finance, marketing, and artificial intelligence.
Industry Engagement: Collaborations with industry partners, internships, and industry-related projects provide students with practical exposure. The program fosters connections with businesses, allowing students to work on real-world problems, gain industry insights, and develop solutions applicable to various sectors.
Global Perspective: The Master of Data Science program integrates a global perspective by incorporating case studies, discussions, and projects that explore data challenges and trends on a global scale. Students engage with diverse datasets and learn to address global issues using data-driven approaches.
Location
Auckland
Score
IELTS 6.5
Tuition Fee
NZD 48386
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.
Completing a Master of Data Science at the University of Auckland opens up diverse and promising career opportunities in various industries.
Data Scientist: Graduates can work as data scientists, employing analytical skills to interpret complex data sets, develop models, and derive actionable insights to drive decision-making processes.
Data Analyst: Roles as data analysts involve collecting, cleaning, and analyzing data to identify trends, patterns, and correlations that aid organizations in making strategic decisions.
Machine Learning Engineer: Graduates proficient in machine learning algorithms and artificial intelligence techniques can pursue roles as machine learning engineers, developing algorithms and models to enable machines to learn and make predictions.
Business Intelligence Analyst: Opportunities exist as business intelligence analysts, responsible for transforming data into meaningful information, assisting organizations in making informed business decisions.
Data Engineer: Graduates may work as data engineers, responsible for designing, constructing, and maintaining the infrastructure required for data generation, storage, and retrieval.
Big Data Analyst: Roles as big data analysts involve handling large volumes of complex data, utilizing technologies to extract valuable insights for organizations.
Statistical Analyst: Opportunities as statistical analysts exist, focusing on statistical modeling, hypothesis testing, and predictive analytics to solve business problems.
Research Scientist: Graduates interested in academia or research can contribute to the advancement of data science by working as research scientists in academic institutions or research organizations.
Consultant: Roles as data consultants involve advising organizations on data strategies, helping them leverage data effectively for business growth and optimization.
Healthcare Data Analyst: Opportunities exist in healthcare sectors, analyzing health data to improve patient care, operational efficiency, and medical research.
