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.
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.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.