Program start date | Application deadline |
2024-02-26 | - |
2024-07-15 | - |
2025-03-03 | - |
2025-07-21 | - |
Program Overview
The Master of Professional Studies (MProfStuds) from the University of Auckland is a postgraduate degree designed to enhance knowledge and professional practice in various fields. It offers specializations in Data Science, Digital Security, Education, and Mathematics Education. The program consists of advanced coursework, research projects, and potential dissertations, equipping graduates with advanced skills and expertise in their chosen fields.
Program Outline
Master of Professional Studies (MProfStuds) - University of Auckland
Degree Overview:
The MProfStuds is a postgraduate degree designed to enhance your knowledge and professional practice in your chosen field. It's particularly well-suited for individuals who already hold a Master's degree and are looking to expand their expertise. This program offers specializations in:
- Data Science
- Digital Security
- Education
- Food Safety (Currently suspended)
- Mathematics Education
Objectives:
- Deepen your existing knowledge and skills within your chosen specialization.
- Develop advanced research and analytical abilities.
- Equip yourself to critically engage with contemporary issues in your field.
- Enhance your professional expertise and marketability.
Program Description:
- The MProfStuds consists of 120 points, typically completed in one year full-time or up to two years part-time for a research master's and one year full-time or up to four years part-time for a taught master's program.
- It involves advanced coursework in your chosen specialization.
- Depending on your specialization, you may complete a dissertation.
Outline:
Structure:
The MProfStuds comprises of various components depending on your chosen specialization and study mode:
- Taught Masters (120 points):
- Advanced coursework in your chosen specialization
- Potential dissertation requirement
- May include electives
- Research papers and presentations
- Research Masters (120 points):
- Extensive research project/thesis with a clear focus and research question
- Literature review and theoretical framework development
- Data analysis and interpretation
- Thesis writing and defense
- Presenting your research in seminars or conferences
Program Content:
The specific content will vary based on your chosen specialization:
- Data Science: Covers advanced techniques and applications of data science, including machine learning, data visualization, and predictive modeling.
- Digital Security: Focuses on protecting networks and systems from cyber threats and breaches, covering cryptography, security auditing, and ethical hacking.
- Education: Addresses various aspects of education, including curriculum development, assessment techniques, and educational leadership.
Assessment:
Assessment methods may include:
- Written assignments and essays
- Research projects and reports
- Dissertation or thesis (for research masters)
- Presentations and seminars
- Examinations (written or oral)
Assessment criteria will focus on:
- Critical thinking and analysis
- Knowledge and understanding of subject matter
- Research skills and methodology
- Communication and presentation ability