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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Masters
Major
Applied Statistics | Mathematical (Theoretical) Statistics | Statistics
Area of study
Mathematics and Statistics
Timing
Full time
Course Language
English
About Program

Program Overview


The program emphasizes practical application, industry-relevant tools, and real-world experience through an applied analytics project. Graduates are prepared for careers as data scientists, analysts, and other professionals in various industries.

Program Outline


Degree Overview:

This program focuses on the practical application of data analysis techniques in a variety of industries, empowering organizations with a competitive advantage through informed decision-making.


Objectives:

  • Develop students' technical ability and competence in devising data-driven solutions.
  • Equip graduates with the skills to manage and analyze large datasets using various statistical and computational tools.
  • Train students to communicate their findings effectively and compellingly to a business audience.
  • Provide students with real-world experience through an applied analytics project in collaboration with an organization.

Description:

The MAnalyt is a 12-18 month program (full-time) or up to 5 years (part-time) that equips students with the skills to understand, analyze, and interpret complex data. The program emphasizes practical application with a focus on industry-relevant tools and techniques. Students learn to use a variety of software tools, including Python, R, and SAS, to analyze data, build models, and draw meaningful conclusions.


Outline:


Structure:

The MAnalyt program is structured into two parts:

  • Part One: Covers foundational concepts in data analysis, including data mining, statistics, and econometrics.
  • Part Two: Consists of an applied analytics project where students work with an external organization to solve a real-world problem using their acquired skills.

Course Schedule:

The program offers courses in a variety of areas, including:

  • Part One:
  • Data Mastery: Scripting, Databases, and Data Privacy
  • Multivariate Analysis for Big Data
  • Practical Data Mining
  • Applied Econometric Methods
  • Part Two:
  • Applied Analytics Project (60 credits)
  • Applied Analytics Project Part 1 (30 credits)
  • Applied Analytics Project Part 2 (30 credits)
  • Students choose 60 credits from a list of specialization courses in areas such as business or health.

Individual Modules:

  • Multivariate Analysis for Big Data: Covers research methods for analyzing large datasets, including data visualization and factor analysis.
  • Practical Data Mining: Provides a hands-on approach to data mining techniques, including data exploration and model building.
  • Applied Econometric Methods: Focuses on the specification, estimation, and validation of econometric models for analysis and forecasting.

Part Two:

  • Applied Analytics Project: Requires students to apply their skills to a real-world problem in collaboration with an external organization.
  • Specialization Courses: Depending on their chosen specialization, students take a combination of electives to deepen their knowledge and skills in a specific area.

Assessment:

The MAnalyt program uses a variety of assessment methods, including:

  • Assignments: Assessments may include essays, reports, data analysis projects, and presentations.
  • Exams: Some courses may include written or online exams.
  • Participation: Active participation in class discussions and activities may contribute to the overall assessment.
  • Project: The applied analytics project in part two is a significant component of the assessment, requiring students to demonstrate their ability to apply their knowledge and skills to a real-world problem.

Teaching:

The MAnalyt program is delivered by experienced faculty members with expertise in data analysis and related fields. The teaching approach emphasizes a combination of lectures, tutorials, and practical workshops.


Teaching Methods:

  • Lectures: Provide students with an overview of key concepts and theories.
  • Tutorials: Offer smaller group sessions for problem-solving and application of concepts.
  • Workshops: Provide hands-on experience with data analysis tools and techniques.

Faculty:

The program is taught by a team of experienced academics and industry professionals with expertise in data analysis, statistics, econometrics, and related fields.


Careers:

Graduates of the MAnalyt program are equipped with the skills and knowledge to pursue a variety of careers in various industries. Some potential career paths include:

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Statistician
  • Econometrician
  • Market Research Analyst
  • Quantitative Analyst
  • Financial Analyst
  • Business Intelligence Analyst

Other:

  • The program is offered on-campus in Auckland, New Zealand, as well as online and through PSB Academy in Singapore.
  • Massey University is ranked in the top 5% of global business schools by AACSB International.
  • Graduates receive a globally recognized SAS certification.
  • Students can also complete optional internships or research projects.
  • The program focuses on developing students' communication skills to effectively present their findings to a business audience.
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About University
PhD
Masters
Bachelors
Diploma

Massey University of New Zealand - Te Kunenga ki Pūrehuroa


Overview:

Massey University is a research-led university in New Zealand, known for its excellence in innovation and the creation of new knowledge. It offers a wide range of academic programs and support services to students.


Services Offered:

Massey University provides a variety of support services to students, including: *


Academic support:

Guidance and resources for academic success. *

Student life services:

Support for personal well-being, career development, and social engagement. *

Māori @ Massey:

Dedicated services and resources for Māori students. *

Pacific Massey:

Support and resources for Pacific students.


Key Reasons to Study There:

    Research-led institution:

    Massey University is known for its strong research focus and commitment to innovation.

    Diverse student body:

    The university welcomes students from various backgrounds and cultures.

    Supportive environment:

    Massey provides a range of services and resources to help students succeed.

Other:

    Distance and online study:

    Massey offers a wide range of distance and online study options.

    Alumni network:

    The university has a strong alumni network that provides support and connections for graduates.

Total programs
164
Average ranking globally
#495
Average ranking in the country
#3
Admission Requirements

Entry Requirements


Domestic Students (including EU home students)


#Bachelor's Degree

  • Applicants must have a bachelor's degree in a relevant subject with a minimum B- grade average in the higher-level courses.
  • Applicants without a relevant bachelor's degree may be considered if they have at least two years of relevant work experience in a professional field.
  • #Official Transcripts
  • All applicants must provide official transcripts for all studies undertaken at universities other than Massey University.
  • #Current CV
  • Applicants must provide a current CV highlighting relevant work experience with statistical software.

International Students (outside the EU)


#Bachelor's Degree

  • International applicants must have a bachelor's degree in a relevant subject with a minimum B- grade average in the higher-level courses.
  • Applicants without a relevant bachelor's degree may be considered if they have at least two years of relevant work experience in a professional field.
  • #Official Transcripts
  • All international applicants must provide official transcripts for all studies undertaken at universities outside of New Zealand.
  • #English Language Proficiency
  • International applicants must meet Massey University's English language standards.

English Language Proficiency Requirements:

  • IELTS: Overall score of 6.5 with no band score below 6.0
  • TOEFL: Internet-based test (iBT) score of 90 with no score below 20 in any section
  • Pearson Test of English (Academic): Overall score of 62 with no score below 59 in any section
  • Cambridge English: Advanced (CAE) with a score of 176, or Proficiency (CPE) with a score of 180
  • Applicants who do not meet the standard entry requirements may be considered on a case-by-case basis.
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