Postgraduate Diploma in Applied Data Science
Info Systems
A course by
UC Online
Fast-track your career with a broad and practical understanding of data science principles and applications. The Postgraduate Diploma in Applied Data Science from UC Online equips you with the ability to identify and describe data trends using statistics and specialised software for improved decision-making and productivity.
NZ$10,574
inc GST
Enquire about international pricing
Core skills this course teaches
Analyse and describe data trends
Graduates will be able to identify, describe, and interpret trends in data using statistics and specialised software tools.
Apply data science methods
Develop and apply a range of data science methods and concepts to real world and complex datasets.
About This Course
This programme is designed to provide graduates with a broad understanding of applied data science, encompassing the core principles, key methodologies, and practical skills needed to analyse, interpret, manage, and utilise data effectively in varied organisational and research contexts. Learners study foundational and advanced modules in data science, statistical learning, big data, data management, programming, and ethics, with options to tailor through electives. The course is delivered online or on-campus, with flexible study options to suit work-life commitments. It targets those wanting to upskill or pivot into data science, accommodating candidates from a broad range of undergraduate backgrounds.
Course Content
- Introduction to Data Science (DATA401): statistical concepts and applications to complex systems
- Computer Programming (COSC480): Python programming, data structures, OOP, file processing, project work
- Data Management (MBIS623): databases, data management issues and systems in organisations
- Scalable Data Science (DATA420): computational methods, big data, distributed computing
- Data Mining (STAT462): classification, regression, clustering, statistical learning, random forests, SVM
- Big Data (STAT448): access, exploration and investigation of big data, applications in decision making
- Texts, Discourses and Data (DIGI405): digital humanities/social science applications, text analysis, corpus linguistics, topic modelling, supervised classification
- Elective options: Computational Social Choice (DATA415); Data Ethics (PHIL426); Core Concepts in Project Management (PMGT451); other options in security, management, and leadership
Entry Requirements
Build towards these roles
Data ScientistData AnalystBusiness Intelligence AnalystData EngineerProject Manager
Build skills in these industries
Information TechnologyFinanceGovernment
