Certificate in Data Science
Programme Overview
The Certificate in Data Science is designed to provide learners with a strong foundation in data analysis, statistical thinking, data preparation, and intelligent decision-making using modern digital tools. The programme introduces core concepts in data science, including programming for data work, exploratory analysis, machine learning, big data, and ethical data use.
In Trimester 1, learners build foundational knowledge in data science, Python programming, data cleaning, exploratory analysis, and statistical methods. In Trimester 2, the programme advances into machine learning, data visualisation, big data analytics, deep learning, and ethical data mining. This structure supports both academic progression and practical readiness for data-driven environments.
Entry Requirements
A minimum of 3 Ordinary Level passes or recognised prior experience in Data Science.
Year 1 • Trimester 1
5 Modules| Code | Description | Credit |
|---|---|---|
| DS1101 | Introduction to Data Science | 12 |
| DS1102 | Python Programming for Data Science | 12 |
| DS1103 | Data Wrangling and Cleaning | 12 |
| DS1104 | Exploratory Data Analysis | 12 |
| DS1105 | Statistical Methods for Data Science | 12 |
Year 1 • Trimester 2
5 Modules| Code | Description | Credit |
|---|---|---|
| DS1106 | Machine Learning Fundamentals | 12 |
| DS1107 | Data Visualization and Communication | 12 |
| DS1108 | Big Data Analytics | 12 |
| DS1109 | Deep Learning and Neural Networks | 12 |
| DS1110 | Data Mining and Ethical Data Science | 12 |