Master of Applied Technologies-Computing in Cybersecurity and Networking
The Master of Applied Technologies - Computing in Cybersecurity and Networking program ...
Master of Applied Technologies-Computing in Data Analytics and Intelligence
Mt Albert
INTAKE: Jul & Feb
Program Overview
The Master of Applied Technologies - Computing in Data Analytics and Intelligence program at Unitec Institute of Technology aims to equip students with advanced skills and knowledge necessary to thrive in the field of data analytics and intelligence.
Curriculum: The curriculum covers a wide spectrum of subjects encompassing data mining, machine learning, statistical analysis, big data technologies, data visualization, and predictive analytics. It emphasizes the utilization of various tools and techniques to extract actionable insights from data sets.
Research Focus: The program encourages research initiatives, allowing students to delve into diverse areas of data analytics and intelligence. Research topics may include artificial intelligence, natural language processing, pattern recognition, predictive modeling, and ethical considerations in data analysis.
Industry Engagement: Unitec Institute of Technology fosters strong ties with industry partners, providing students with opportunities for internships, industry projects, and collaborations with organizations specializing in data analytics and intelligence. This engagement ensures practical exposure and experiences aligned with industry requirements.
Global Perspective: The Master's program integrates a global perspective, exploring international trends in data analytics, diverse applications of data intelligence across cultures and industries, and the ethical implications of global data usage.
Location
Mt Albert
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 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 79 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.
Unitec Institute of Technology offers various scholarships to support the academic endeavors of international students. These scholarships aim to recognize academic excellence, promote diversity, and assist students in their educational pursuits.
Merit-Based Scholarships: Awarded to students with outstanding academic achievements, these scholarships often consider GPA, achievements, or academic potential.
Need-Based Scholarships: Aimed at assisting students with financial need, these scholarships provide support to those facing economic challenges.
Subject-Specific Scholarships: Offered to students excelling in specific fields or disciplines, encouraging excellence and innovation in those areas.
Diversity Scholarships: Intended to promote diversity and inclusivity, these scholarships encourage applications from students of diverse backgrounds, cultures, or regions.
Graduating with a Master of Applied Technologies - Computing in Data Analytics and Intelligence from Unitec Institute of Technology can lead to various career opportunities in the burgeoning field of data analytics and intelligence.
Data Scientist/Analyst: Professionals can work as data scientists or analysts, utilizing statistical methods and machine learning techniques to extract insights and make data-driven decisions.
Business Intelligence Analyst: Graduates may pursue roles as business intelligence analysts, transforming complex data into actionable information to aid business strategies and decision-making.
Data Engineer: Individuals can specialize as data engineers, responsible for designing and managing data pipelines and infrastructure to support analytics processes.
Machine Learning Engineer: Professionals may focus on machine learning engineering, developing and implementing algorithms to enable computers to learn and make predictions from data.
Data Visualization Specialist: Graduates can work as data visualization specialists, creating visual representations of data to convey insights effectively to stakeholders.
Big Data Architect: Professionals may venture into roles as big data architects, designing systems to process and analyze massive volumes of data efficiently.
