Postgraduate Diploma in Applied Data Science
Computer Science
A course by
UC Online
Fast-track your career with a broad and practical understanding of data science principles and applications. This fully online Postgraduate Diploma will equip you with skills in identifying and describing data trends using statistics and specialised software to enhance productivity.
Online study
Flexible online learning from anywhere
It will take a total of 1 year
This course requires 37 hours per week
Core skills this course teaches
Apply data science principles and technical software tools
Graduates will be able to use statistical and computational methods, including specialised software, to identify and describe data trends.
Develop analytical and problem-solving skills for data-rich challenges
Students gain in-demand analytical skills to extract insights from complex datasets and support strong decision-making.
Implement scalable computing methods and manage big data
What You're Signing Up For
The Postgraduate Diploma in Applied Data Science is designed for graduates wanting advanced knowledge in data science to advance or pivot their careers. The fully online programme includes courses in statistics, programming, big data analytics, natural language processing, data mining, and the ethical and project management dimensions of working with data. Graduates are equipped to identify, interpret, and communicate trends in data to support decision-making across sectors.
Course Content
- Introduction to Data Science
- Computer Programming (Python)
- Data Management and Database Systems
- Scalable Data Science and Distributed Computing
- Big Data Methods and Decision Making
- Texts, Discourses and Data (Natural Language Processing & Digital Humanities)
- Data Mining (Classification, Regression, Clustering, Association)
- Data Ethics (Autonomy, Wellbeing, Justice, Confidentiality, Data Sovereignty)
- Project Management Fundamentals
What you need to know first
A university degree in a relevant area (e.g. biological sciences, computer science, digital humanities, economics, environmental science, finance, geography, geology, mathematics, physics, psychology, statistics, or related)
What sort of industry will this job lead to
Data Science
Information Technology
Government
Finance
Market Research
Agriculture
Transport
