Bachelor of Science in Artificial Intelligence | Units, Syllabus & Study Materials - YNetStudyHub
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Bachelor of Science in Artificial Intelligence Verified Syllabus

Master Bachelor of Science in Artificial Intelligence with structured academic semester units, topic lecture notes, past examinations, CATs, and interactive 24/7 AI tutor support on YNetStudyHub.

10 Semester Units 229 Curriculum Topics 4 Years Commission for University Education (CUE) Aligned 24/7 AI Tutor Enabled
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10 Units
229 Syllabus Topics
4 Years Duration
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Course Units & Curriculum 10 Units

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AI In Business
8 Topics
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1 AI Applications in Marketing and Sales
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2 AI for Customer Relationship Management (CRM)
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3 AI in Supply Chain Management
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4 Ethics and Bias in AI
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5 Future Trends in AI and Business
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6 Implementing AI Strategies in Business
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7 Introduction to AI in Business Free Preview
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8 Types of AI Technologies in Business
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1 AI in Finance
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2 AI in Healthcare
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3 Computer Vision
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4 Ethical Considerations in AI
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5 Future Trends in Artificial Intelligence
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6 Introduction to Artificial Intelligence Free Preview
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7 Machine Learning Algorithms
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8 Natural Language Processing
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9 Robotics and Automation
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1 Convolutional Neural Networks (CNNs)
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2 Ethical Considerations in Computer Vision
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3 Face Recognition and Biometrics
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4 Image Captioning and Visual Question Answering
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5 Image Processing Fundamentals
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6 Image Segmentation
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7 Introduction to Computer Vision Free Preview
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8 Object Detection and Recognition
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9 Object Tracking
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10 Transfer Learning in Computer Vision
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1 Activation Functions
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2 Artificial Neural Networks
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3 Backpropagation
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4 Convolutional Neural Networks (CNNs)
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5 Convolutional Neural Networks (CNNs)
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6 Convolutional Neural Networks (CNNs)
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7 Deep Reinforcement Learning
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8 Deep Reinforcement Learning
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9 Ethical Considerations in Deep Learning
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10 Ethical Considerations in Deep Learning
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11 Ethical Considerations in Deep Learning
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12 Future Trends in Deep Learning
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13 Future Trends in Deep Learning
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14 Generative Adversarial Networks (GANs)
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15 Generative Adversarial Networks (GANs)
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16 Generative Adversarial Networks (GANs)
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17 Introduction to Deep Learning Free Preview
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18 Introduction to Deep Learning
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19 Introduction to Deep Learning
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20 Loss Functions
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21 Neural Networks
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22 Neural Networks
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23 Optimization Techniques in Deep Learning
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24 Recurrent Neural Networks (RNNs)
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25 Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
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26 Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
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27 Training Deep Learning Models
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28 Transfer Learning
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29 Transfer Learning
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30 Transfer Learning and Fine-Tuning
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1 Accountability and Transparency in AI
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2 AI and Job Displacement
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3 Autonomous AI Systems and Moral Decision-Making
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4 Autonomous Systems and Ethical Decision-Making
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5 Bias and Fairness in AI
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6 Bias and Fairness in AI
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7 Bias and Fairness in AI
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8 Ethical Considerations in AI Research
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9 Ethical Design and Development of AI Systems
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10 Ethical Dilemmas in AI
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11 Ethical Frameworks for AI
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12 Ethical Frameworks in AI
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13 Ethical Frameworks in Artificial Intelligence
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14 Ethical Implications of AI in Healthcare
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15 Future of AI Ethics
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16 Global Perspectives on AI Ethics
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17 Global Perspectives on AI Ethics
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18 Global Perspectives on AI Ethics
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19 Human Values and AI
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20 Introduction to Artificial Intelligence
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21 Introduction to Artificial Intelligence (AI) and Ethics
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22 Introduction to Ethics in Artificial Intelligence Free Preview
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23 Privacy and Data Protection in AI
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24 Privacy and Data Protection in AI
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25 Privacy and Data Protection in AI
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26 Transparency and Accountability in AI
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27 Transparency and Accountability in AI
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1 AI and Robotics
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2 AI Ethics and Bias
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3 AI in Business
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4 AI in Business
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5 AI in Healthcare
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6 AI in Healthcare
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7 AI in Healthcare
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8 AI in Robotics
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9 AI in Robotics
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10 Computer Vision
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11 Computer Vision
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12 Computer Vision
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13 Deep Learning
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14 Ethics and Bias in AI
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15 Ethics and Implications of AI
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16 Future Trends in Artificial Intelligence
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17 History of Artificial Intelligence
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18 Machine Learning
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19 Machine Learning Basics
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20 Machine Learning Fundamentals
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21 Natural Language Processing (NLP)
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22 Natural Language Processing (NLP)
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23 Natural Language Processing (NLP)
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24 Overview of Artificial Intelligence
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25 The Future of Artificial Intelligence
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26 Types of Artificial Intelligence
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27 Types of Artificial Intelligence
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28 Types of Artificial Intelligence
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29 What is Artificial Intelligence? Free Preview
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30 What is Artificial Intelligence?
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1 Applications of Knowledge Representation and Reasoning
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2 Cognitive Models
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3 Description Logics
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4 Frames and Scripts
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5 Frames and Scripts
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6 Introduction to Knowledge Representation
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7 Introduction to Knowledge Representation and Reasoning Free Preview
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8 Introduction to Knowledge Representation and Reasoning
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9 Knowledge Graphs
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10 Knowledge Representation for Machine Learning
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11 Knowledge Representation in Natural Language Processing
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12 Knowledge Representation in Natural Language Processing
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13 Knowledge Representation in Natural Language Processing
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14 Logic-Based Knowledge Representation
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15 Logic-based Knowledge Representation
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16 Logic-Based Knowledge Representation
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17 Ontologies
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18 Ontologies
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19 Ontologies and Knowledge Graphs
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20 Probabilistic Reasoning
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21 Rule-Based Systems
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22 Rule-based Systems
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23 Rule-Based Systems
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24 Semantic Networks
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25 Semantic Networks
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26 Semantic Networks and Frames
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27 Uncertainty and Probabilistic Reasoning
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28 Uncertainty in Knowledge Representation
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Past examination papers for this unit are being compiled.
1 Chatbots and Conversational Agents
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2 Ethical and Social Implications of NLP
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3 Ethical Considerations in NLP
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4 Ethical Considerations in NLP
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5 Introduction to Natural Language Processing Free Preview
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6 Introduction to Natural Language Processing
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7 Introduction to Natural Language Processing
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8 Language Modeling
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9 Language Modeling and Word Embeddings
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10 Language Models in NLP
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11 Machine Translation
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12 Named Entity Recognition
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13 Named Entity Recognition
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14 Named Entity Recognition (NER)
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15 Natural Language Generation
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16 Preprocessing Text Data
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17 Sentiment Analysis
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18 Sentiment Analysis
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19 Sentiment Analysis
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20 Sequence-to-Sequence Models
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21 Sequence-to-Sequence Models
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22 Text Classification
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23 Text Classification
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24 Text Classification
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25 Text Generation
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26 Text Preprocessing in NLP
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27 Text Preprocessing in NLP
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28 Transformer Models
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29 Transformer Models
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30 Word Embeddings
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1 Applications of Reinforcement Learning
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2 Applications of Reinforcement Learning
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3 Deep Reinforcement Learning
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4 Deep Reinforcement Learning
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5 Deep Reinforcement Learning
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6 Exploration vs. Exploitation
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7 Exploration vs. Exploitation
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8 Exploration vs. Exploitation
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9 Introduction to Reinforcement Learning Free Preview
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10 Introduction to Reinforcement Learning
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11 Introduction to Reinforcement Learning
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12 Markov Decision Processes
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13 Markov Decision Processes (MDPs)
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14 Markov Decision Processes (MDPs)
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15 Multi-Armed Bandit Problem
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16 Multi-Armed Bandit Problems
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17 Multi-Armed Bandit Problems
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18 Policy Gradient Methods
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19 Policy Gradient Methods
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20 Policy Iteration and Value Iteration
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21 Q-Learning
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22 Q-Learning
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23 Q-Learning
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24 Reinforcement Learning Algorithms Comparison
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25 Reinforcement Learning in Practice
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26 Value Functions
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27 Value Functions and Bellman Equations
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Past examination papers for this unit are being compiled.
1 Applications of Robotics
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2 Artificial Intelligence in Robotics
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3 Emerging Trends in Robotics
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4 Ethical and Social Implications of Robotics
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5 Future Trends in Robotics
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6 History of Robotics Free Preview
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7 History of Robotics
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8 Introduction to Robotics
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9 Robot Components and Mechanics
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10 Robot Components and Sensors
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11 Robot Control Systems
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12 Robot Control Systems
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13 Robot End-Effectors and Grippers
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14 Robot Ethics and Social Implications
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15 Robot Ethics and Society
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16 Robot Kinematics and Dynamics
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17 Robot Kinematics and Dynamics
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18 Robot Programming
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19 Robot Programming
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20 Robot Programming
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21 Robot Vision and Image Processing
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22 Robot Vision and Perception
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23 Robotics Components
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24 Robotics in Healthcare
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25 Robotics in Manufacturing
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26 Robotics in Space Exploration
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27 Sensors and Perception in Robotics
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28 Types of Robots
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29 Types of Robots
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30 Types of Robots
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Past examination papers for this unit are being compiled.

Curriculum Architecture

This program is structured into comprehensive academic units combining theoretical foundations, analytical research, practical tutorials, and continuous assessments. Each unit is mapped to key learning outcomes aligned with higher education qualification frameworks.

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Career & Professional Trajectories

Graduates of Bachelor of Science in Artificial Intelligence are qualified for diverse professional opportunities across industry, public service, corporate consulting, research institutions, international organizations, and postgraduate specialization.

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