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Students
Tuition Fee
NZD 5,001
Per course
Start Date
Medium of studying
Fully Online
Duration
12 months
Program Facts
Program Details
Degree
Diploma
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
NZD 5,001
Intakes
Program start dateApplication deadline
2024-07-15-
About Program

Program Overview


This two-semester program in Data Science equips graduates with skills in data management, predictive modeling, and algorithm development. It emphasizes hands-on learning and prepares students for careers as data scientists, analysts, and engineers in various industries. The program is designed for graduates with a background in Computer Science or Statistics and offers a pathway to the Master of Data Science program.

Program Outline


Outline:


Program Content:

  • The program focuses on data science, including data management, predictive modelling, and algorithm development.
  • It aims to meet the growing demand for data scientists and equip graduates with relevant skills and knowledge.
  • Students will be able to apply principles and practices from various data science fields to solve real-world problems.

Program Structure:

  • The program consists of two semesters, each with a duration of 12 weeks.
  • Each semester offers one course, resulting in a total of two courses.
  • Completion of the program takes as little as two semesters.

Course Schedule:

  • Semester 1: DATASCI 709 Data Management
  • Semester 2: STATS 709 Predictive Modelling (for Computer Science background) or COMPSCI 717 Fundamentals of Algorithmics (for Statistics background)
  • Utilizing R and SQL, students learn real-world applications of data management concepts.

STATS 709 Predictive Modelling:

  • Provides an advanced introduction to statistics and data analysis, followed by modern predictive modelling techniques and machine learning.

COMPSCI 717 Fundamentals of Algorithmics:

  • Focuses on algorithm design techniques like greedy algorithms, divide-and-conquer, and dynamic programming.
  • Explores data structures for efficient algorithm implementation.
  • Teaches essential tools for algorithm analysis, including worst- and average-case analysis of space and time.

Assessment:


Assessment Methods:

  • The program employs various assessment methods to evaluate student learning outcomes.
  • These may include assignments, exams, projects, presentations, and participation.

Assessment Criteria:

  • Students are assessed based on their understanding of data science concepts, ability to apply them in practical scenarios, and critical thinking skills.
  • Other factors like communication skills and teamwork may also be considered.

Teaching:


Teaching Methods:

  • The program utilizes diverse teaching methods to cater to different learning styles.
  • This may include lectures, tutorials, workshops, guest lectures, and online resources.

Faculty:

  • The program is taught by experienced and qualified faculty with expertise in data science, statistics, and computer science.

Unique Approaches:

  • The program emphasizes hands-on learning through practical exercises and projects.
  • It provides opportunities for students to collaborate and network with peers and industry professionals.

Careers:


Career Paths:

  • The program prepares graduates for diverse career paths in data science and related fields.
  • Possible career options include data scientist, data analyst, business intelligence analyst, statistician, and machine learning engineer.

Opportunities and Outcomes:

  • Graduates will be equipped with the necessary skills and knowledge to pursue rewarding careers in the rapidly growing data science industry.
  • They will be able to contribute to various industries and sectors, including healthcare, finance, marketing, and technology.

Other:

  • The program is specifically designed for graduates with a background in either Computer Science or Statistics.
  • It provides a direct pathway to the Master of Data Science program for those who wish to further advance their studies.
  • Entry requirements include a Bachelor's degree with a GPA of 4.0 or higher in 75 points above Stage II in the relevant field.
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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:

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Total programs
228
Average ranking globally
#156
Average ranking in the country
#1
Admission Requirements

Entry Requirements:


Academic Requirements:


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