| Program start date | Application deadline |
| 2024-07-15 | - |
| 2025-03-03 | - |
Program Overview
Offered in two formats, the program combines computer science and statistics, allowing students to tailor their learning to their interests. Graduates are highly sought-after in various industries, including technology, finance, and healthcare, and are well-prepared for further postgraduate study.
Program Outline
Master of Data Science (MDataSci) - The University of Auckland
Degree Overview:
The Master of Data Science (MDataSci) equips graduates with the skills and knowledge to transform data into actionable insights driving innovation. This program merges a robust foundation in computer science and statistics, enabling graduates to comprehend, process, and extract value from data effectively. The program fosters critical thinking and reflection, preparing graduates for professional success and further postgraduate study. The MDataSci is offered in two formats:
- 180-point taught masters: Emphasizes both computer science and statistics, ideal for students with backgrounds in both fields.
- 240-point taught masters: Focuses on either computer science or statistics, suitable for students with a strong background in one of these fields.
Outline:
Both program formats comprise a combination of core courses and electives, allowing students to tailor their learning to specific interests and career aspirations.
180-point taught masters:
- Core Courses (60 points):
- Big Data Management (COMPSCI 752)
- Datamining and Machine Learning (COMPSCI 760)
- Advanced Regression Methodology (STATS 763)
- Advanced Data Science Practice (STATS 769)
- Elective Courses (75 points):
- Students can choose from a wide range of electives in computer science, statistics, and related fields.
- Dissertation (45 points):
- Students conduct independent research and present their findings in a dissertation.
240-point taught masters:
- Core Courses (90 points):
- Fundamentals of Algorithmics (COMPSCI 717)
- Advanced Topics in Database Systems (COMPSCI 751)
- Advanced Machine Learning (COMPSCI 762)
- Computational Introduction to Statistics (STATS 707)
- Regression for Data Science (STATS 762)
- Statistical Learning for Data Science (STATS 765)
- Statistical Computing (STATS 782)
- Elective Courses (45 points):
- Students can choose from a wide range of electives in computer science, statistics, and related fields.
- Dissertation (45 points):
- Students conduct independent research and present their findings in a dissertation.
Assessment:
Assessment methods vary depending on the specific course but typically include a combination of:
- Assignments
- Exams
- Projects
- Presentations
- Participation
Teaching:
The program boasts a team of experienced and passionate faculty members who are experts in their respective fields. Teaching methods include:
- Lectures
- Tutorials
- Workshops
- Guest lectures
- Independent study The program also utilizes a blended learning approach, incorporating online resources and activities to enhance the learning experience.
Careers:
Graduates of the MDataSci program are highly sought-after in various industries, including:
- Technology
- Finance
- Healthcare
- Government
- Research Potential career paths include:
- Data scientist
- Data analyst
- Machine learning engineer
- Business intelligence analyst
- Data architect
Other:
- The 240-point taught masters is offered only in the March intake.
- The program is designed to provide students with the skills and knowledge necessary to succeed in the rapidly evolving field of data science.
- Graduates of the program are well-prepared for further postgraduate study in data science or related fields.
Conclusion
The Master of Data Science program at the University of Auckland offers a comprehensive and rigorous education in data science, equipping graduates with the skills and knowledge to thrive in the data-driven world. The program's flexible structure, expert faculty, and industry-relevant curriculum empower students to pursue their career aspirations and make a significant impact in the field of data science.
University of Auckland Summary
Overview:
The University of Auckland is New Zealand's leading university, renowned for its academic excellence and commitment to research. It offers a wide range of undergraduate and postgraduate programs across various disciplines.
Services Offered:
The University provides a comprehensive range of services for students, including:
Student Services Online:
A platform for accessing various student-related services.Class Search:
A tool for finding and enrolling in courses.Canvas:
An online learning platform for accessing course materials and submitting assignments.Concur:
A system for managing travel and expenses.Student Email:
A dedicated email account for communication with the university.MyCDES+ (job board):
A platform for students to find job opportunities.Course Outlines:
Detailed descriptions of course content and requirements.Learning Essentials:
Resources to support student learning.Libraries and Learning Services:
Access to extensive library resources and support services.Our People:
A directory of university staff and researchers.Forms, Policies and Guidelines:
Information on university policies and procedures.Campus Card:
A multi-purpose card for accessing campus facilities and services.Enrol in Courses:
Information on the enrollment process.Postgraduate Students:
Specific resources and support for postgraduate students.Summer School:
Information on summer school programs.Graduation:
Information on graduation requirements and ceremonies.AskAuckland:
An online help and support center.Student Hubs:
Physical locations on campus for student support and advice.Student IT Hub:
Support for IT-related issues.Student Health and Counselling:
Services for student well-being.Be Well:
Resources for promoting student health and well-being.Harassment, Bullying, Sexual Assault and Other Violence:
Information on reporting and support services.Complaints and Incidents:
Information on reporting complaints and incidents.Career Development and Employability Services (CDES):
Support for career planning and job searching.Ratonga Hauātanga Tauira | Student Disability Services (SDS):
Support for students with disabilities.Rainbow Support:
Resources and support for LGBTQ+ students.Covid-19 Information for Our Community:
Updates and information on COVID-19.Emergency Information:
Contact information and safety guidelines for emergencies.Report Concerns, Incidents and Hazards:
Information on reporting safety concerns.Health and Safety Topics:
Information on health and safety policies and procedures.Student Life and Campus Experience:
The University of Auckland offers a vibrant and diverse campus experience, with opportunities for students to:
Live in Auckland:
Experience the city's cultural attractions and amenities.Join Clubs and Societies:
Engage in extracurricular activities and meet like-minded individuals.Attend Events:
Participate in a variety of events and activities on campus.Experience Māori and Pacific Life:
Engage with the university's strong Māori and Pacific communities.Key Reasons to Study There:
Top-ranked University:
The University of Auckland is consistently ranked among the top universities in New Zealand and Oceania.World-class Research:
The university is a leading center for research, with a strong focus on innovation and impact.Diverse and Inclusive Community:
The university values diversity and inclusion, creating a welcoming environment for students from all backgrounds.Excellent Student Support:
The university provides comprehensive support services to help students succeed.Vibrant Campus Life:
The university offers a dynamic and engaging campus experience with a wide range of activities and opportunities.Academic Programs:
The University of Auckland offers a wide range of academic programs, including:
Arts:
Business School:
Creative Arts and Industries:
Education and Social Work:
Engineering:
Law:
Medical and Health Sciences:
Science:
Domestic Students:
- Bachelor of Science in Data Science:
- Grade Point Average (GPA) of 4.0 or higher in 75 points above Stage II from the University of Auckland.
- Bachelor of Science with a major in Computer Science and a major in Statistics:
- GPA of 4.0 or higher in 75 points above Stage II from the University of Auckland.
- Bachelor of Science in a similar field:
- GPA of 4.0 in 75 points at Stage III or above.
International Students:
- Undergraduate Science Degree:
- Grade Point Equivalent (GPE) of 4.0 from a recognized university.
- Relevant discipline, such as data science, computer science, or statistics, with a minimum of 30% of the degree focusing on relevant courses.
Language Proficiency Requirements:
- IELTS Academic: Overall score of 6.5 with no band lower than 6.0.
- Other English Language tests: Equivalent scores accepted.
Additional Requirements:
- Applicants may be required to submit a personal statement, curriculum vitae, and letters of recommendation.
- International students may need to provide evidence of financial support.
Note:
- These are the minimum requirements advertised for the 2024 intake.
- Requirements may change for future intakes.
- The program offers two options: 180-point taught and 240-point taught.
- The 180-point option requires a background in both computer science and statistics.
- The 240-point option is suitable for students with a strong background in either computer science or statistics.
- Both options require completion of a dissertation. Applicants should carefully review the requirements and ensure they meet the criteria before applying.
