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The Master of Analytics at Auckland University of Technology is a comprehensive program that equips students with the skills and knowledge to analyze and interpret complex data sets. The program covers a wide range of topics, including machine learning, data visualization, statistical modeling, and data mining. Students will learn how to apply analytical techniques to real-world problems and gain practical experience through collaborative projects with industry partners. With a strong focus on practical application, this program is ideal for those looking to pursue a career in data analysis or transition from other fields such as statistics, computer science, or engineering.
Students will have access to state-of-the-art facilities and tools, including cutting-edge software and hardware, as well as support from experienced lecturers and researchers. The program is designed to be flexible, with a range of elective courses available to allow students to tailor their studies to their interests and career goals. Additionally, students will have the opportunity to participate in internships or collaborative projects with industry partners, providing valuable practical experience and networking opportunities.
Auckland University of Technology is an ideal location for studying analytics due to its strong focus on innovation and technology. The university has a range of research centers and institutes dedicated to data science and analytics, as well as a vibrant tech community with many opportunities for collaboration and networking. With a beautiful campus located in the heart of Auckland, students will have access to all the city has to offer while still enjoying the benefits of a smaller, more personalized learning environment.
There is global demand for professionals with strong analytics skills who can help organisations meet the increasing challenges of organising, storing and manipulating huge quantities of data. The Master of Analytics addresses this demand.
It provides you with the mathematical, statistical and computational skills for large-scale data modelling. It caters for students from a variety of disciplines, as well as professionals already working in the industry. Through your studies you develop advanced analytics and database skills as well as an understanding of the latest theory, tools and techniques for statistical modelling and mathematical simulation.
Relevant bachelor’s degree in mathematical sciences (or equivalent) with a B grade average in courses at level 7 or above
20 Hours of Work permit weekly for international students.
You complete a range of courses, as well as a research project on a topic of your interest. Depending on your choice of courses, you could qualify for a Statistical Analysis System (SAS) Joint Certificate in Advanced Analytics.
To qualify for the Master of Analytics, you must complete 180 points.
Data Mining and Machine Learning
Data Warehousing and Big Data
STEM Research Methods
Mathematical Modelling and Simulation
Advanced Topic in Analytics
Optimisation and Operations Research
Health Analytics
Geocomputation
Bioinformatics
Advanced Financial Modelling and Analytics
Multivariate Analysis
Official Statistics
Computational Mathematics and Statistics
Research Project
IELTS (Academic) 6.5 overall with all bands 6.0 or higher; or equivalent
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