Master of Applied Technologies - Data analytics

Manukau

INTAKE: Jul & Feb

Program Overview

The Master of Applied Technologies in Data Analytics program at Manukau Institute of Technology (MIT) in New Zealand is designed to equip students with advanced skills and knowledge in data analytics, catering to the increasing demand for professionals in this rapidly evolving field. The program focuses on practical applications and industry relevance.

Curriculum: MIT's Master of Applied Technologies in Data Analytics offers a comprehensive curriculum covering various aspects of data analytics, including data mining, machine learning, statistical analysis, data visualization, big data technologies, and predictive modeling. The curriculum balances theoretical foundations with hands-on practical experience, preparing students to address real-world data challenges.

Research Focus: The program emphasizes a research-oriented approach, encouraging students to engage in applied research projects related to data analytics. Students delve into data-driven research methodologies, explore emerging trends, and contribute to innovative solutions within the field. The research focus fosters critical thinking and problem-solving skills essential for data analytics professionals.

Industry Engagement: MIT ensures strong industry connections through collaborations, guest lectures, and industry-led projects. Students have opportunities to work on real industry problems, gaining practical insights and experiences. The program's industry partnerships facilitate internships, networking, and potential employment pathways, bridging the gap between academia and industry demands.

Global Perspective: The Master of Applied Technologies in Data Analytics program integrates a global perspective by addressing international best practices, industry standards, and global applications of data analytics. It may incorporate case studies from diverse cultural contexts, preparing students to work in multinational settings and understand global data trends and challenges.

Location

Manukau

Score

IELTS 6.5

Tuition Fee

NZD 32500

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 65% 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 79 with no individual section below 21.
PTE: Overall score of 59, 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.

Manukau Institute of Technology (MIT) offers several scholarships to support international students pursuing their academic goals.

International Student Excellence Scholarship: MIT provides merit-based scholarships for high-achieving international students who demonstrate academic excellence. These scholarships aim to reward exceptional academic performance and may cover a portion of tuition fees.

MIT Foundation Pathway Scholarship: This scholarship is designed for international students enrolling in foundation programs at MIT. It assists students in their preparatory studies by offering financial support towards tuition fees.

English Language Scholarships: MIT offers scholarships specifically tailored for international students undertaking English language programs. These scholarships aim to support students in improving their English proficiency before commencing their main academic courses.

Country-Specific Scholarships: The institute may provide scholarships targeting students from specific countries or regions, aiming to encourage cultural diversity and academic excellence among international students.

External Scholarship Opportunities: MIT also assists international students in accessing external scholarship opportunities offered by government entities, organizations, or foundations in New Zealand or their home countries. The institute supports students in identifying and applying for these external funding sources.

Graduates of Manukau Institute of Technology's (MIT) Master of Applied Technologies in Data Analytics program are well-equipped with sought-after skills and expertise that open doors to diverse and rewarding career paths in the thriving field of data analytics.

Data Scientist: Graduates can pursue roles as data scientists, applying statistical analysis, machine learning, and data mining techniques to extract insights from large datasets and drive data-informed decision-making.

Business Intelligence Analyst: Opportunities exist for graduates to work as business intelligence analysts, interpreting data, creating reports, and providing valuable insights to support strategic business decisions within organizations.

Data Engineer: Graduates can specialize as data engineers, managing, and optimizing data pipelines, databases, and data architecture to ensure efficient data collection, storage, and retrieval.

Machine Learning Engineer: With expertise in machine learning, graduates can work on developing algorithms, building predictive models, and implementing machine learning solutions in various industries.

Data Analytics Consultant: Graduates may offer consultancy services, advising organizations on data strategies, optimizing data processes, and recommending solutions to enhance their data-driven capabilities.

Database Administrator: Opportunities exist in database administration roles, overseeing databases, ensuring data security, and implementing efficient data storage and retrieval systems.

Data Visualization Specialist: Graduates can specialize in data visualization, creating compelling visual representations of data to facilitate easier understanding and decision-making for organizations.

Research Scientist: For those inclined toward research, careers in research institutions or academia involve conducting data-driven research, contributing to the development of new methodologies, and exploring innovative applications of data analytics.

Cybersecurity Analyst (with additional cybersecurity skills): Graduates with a focus on cybersecurity can work as cybersecurity analysts, protecting data assets, identifying threats, and ensuring data security measures are in place.

Healthcare Analyst (with healthcare-related expertise): Those with an interest in healthcare analytics can pursue roles analyzing healthcare data, identifying patterns, and assisting in improving healthcare outcomes through data-driven insights.