Information Communications Technologies (ICT)
Data Science Essentials
Data Science Essentials is a short course designed to introduce foundational data science concepts, analytical thinking, and modern data-driven decision-making skills.
This Data Science Essentials short course develops practical knowledge in data analysis, statistics, Python-based processing, and introductory artificial intelligence applications. Learners build the confidence to interpret data, extract insights, and apply structured analytical approaches in real-world organisational contexts.
The programme supports progression into data analytics, artificial intelligence, business intelligence, and broader technology-enabled roles across multiple industries.
Programme Summary
Programme Name
Data Science Essentials
Programme Type
Short Learning Programme
Entry Requirements
Open Entry
Credits
Non-credit Bearing
Duration
Up to 11 months (self-paced)
Programme Summary
Programme Name
Data Science Essentials
Programme Type
Short Learning Programme
Entry Requirements
Open Entry
Credits
Non-credit Bearing
Duration
Up to 11 months (self-paced)
All modules are compulsory and must be passed.
- CompTIA A+
- Networking Essentials
- Introduction to Data Science
- Data Analytics Essentials
- Data Science Essentials with Python
- CompTIA DataX
Learners complete formative and summative assessments aligned to each module. Formative assessments support learning progression and skill development. Final results are based on summative assessment performance.
Learners may elect to sit for international CompTIA, DataX and Cisco certification examinations in addition to the Short Learning Programme requirements at Boston City Campus. Examination fees are excluded and charged at cost.
Certification requirements, module names, and examination codes are subject to change at the discretion of CompTIA and Cisco.
Depending on module selection and external certification pathways, learners may obtain internationally recognised credentials from CompTIA and Cisco.
Learners are encouraged to consider additional Short Learning Programmes in Artificial Intelligence, Cybersecurity, Networking, and related information technology fields to broaden their data science capability.
This programme also supports progression into advanced analytics, machine learning, and AI-focused short learning pathways, strengthening readiness for specialised technology environments.