DLC HD in Artificial Intelligence and Data Science
Specialised programme in data analysis, machine learning, and intelligent systems. Covers Python, statistics, neural networks, big data, and ethical AI. Hands-on projects with real-world datasets prepare you for high-demand roles.
4
Semesters
16
Units
2
Intakes/Year
2 Years
Full time
Program Overview
Master AI, Machine Learning & Data Science
The curriculum includes Python programming, statistical analysis, data visualization, machine learning algorithms, neural networks, big data technologies, and artificial intelligence applications. Students learn how to collect, process, and analyse large datasets to extract meaningful insights and support decision-making processes.
Data Analysis
Probability, statistics, and data visualization.
Machine Learning
Supervised, unsupervised, and deep learning.
AI Applications
NLP, neural networks, and intelligent systems.
Capstone Project
End-to-end AI-based project.
Programme Information
Key Details
Academic Information
- Programme: DLC Higher Diploma in Artificial Intelligence and Data Science
- Qualification Level: Higher Diploma
- Academic Duration: 2 Years (Full-time)
- Total Units: 16
- Semesters: 4
Delivery Mode
- Onsite Physical Learning
- Practical lab sessions and project-based assignments
- Real-world dataset analysis and AI application development
- English Medium
Modules Structure
Academic Modules
A strong emphasis is placed on practical learning through lab sessions and project-based assignments. Learners are required to develop predictive models, build AI applications, and work with real-world datasets.
1st Semester:
- Programming
- Probability and Statistics
- Networking
- Database Design and Development
2nd Semester:
- Introductions to Data Science
- Computer System Architecture
- OOP
- Discrete Mathematics for AI
3rd Semester:
- AI and Applications
- Machine Learning
- Advanced Programming for Data Analysis
- Data Structures and Algorithms
4th Semester:
- Advanced ML
- Natural Language Processing
- Neural Network and Deep Learning
- Capstone AI based Project
Ethics & Career
Responsible AI & Professional Pathways
Ethical Considerations
- Data Privacy – Understanding and implementing data protection principles.
- Algorithmic Bias – Identifying and mitigating bias in AI systems.
- Responsible AI – Ethical use of artificial intelligence technologies.
Career Opportunities
- Data Analyst – Extract insights from complex datasets.
- AI Developer – Build intelligent applications and systems.
- Machine Learning Engineer Assistant – Support ML model development.
- Business Intelligence Analyst – Drive data-informed decision making.
- Further Studies – Foundation for advanced AI, data science, and computing degrees.
Assessment Structure
Academic Assessments
Internal Assessments
Continuous Assignments
Lab Sessions & Practical Work
Project-Based Assignments
Capstone Project
Qualification Grading
Unit Grading
Overall Qualification
Higher Diploma
External Moderation
DLC Quality Assurance
Program Fees
Investment in Your Future
Admissions
Entry Qualifications & Eligibility
Admissions Open Now!
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