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

Master Master 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 149 Curriculum Topics 2 Years Commission for University Education (CUE) Aligned 24/7 AI Tutor Enabled
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10 Units
149 Syllabus Topics
2 Years Duration
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Course Units & Curriculum 10 Units

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AI Applications And Case Studies
8 Topics
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1 AI in Finance
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2 AI in Healthcare
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3 AI in Marketing
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4 AI in Transportation
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5 Case Study: Amazon's Recommendation System
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6 Case Study: DeepMind's AlphaGo
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7 Case Study: IBM Watson in Healthcare
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8 Introduction to AI Applications Free Preview
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1 Accountability and Responsibility in AI
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2 Bias in AI
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3 Ethical Decision-Making in AI
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4 Ethical Principles in AI
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5 Fairness in AI
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6 Introduction to AI Ethics Free Preview
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7 Privacy and Data Protection in AI
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8 Regulatory Frameworks for AI Ethics
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1 Collaborative Research Practices in AI
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2 Data Collection Techniques in AI Research
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3 Ethical Considerations in AI Research
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4 Experimental Design in AI Research
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5 Introduction to AI Research Methods Free Preview
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6 Literature Review in AI Research
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7 Mixed-Methods Approach in AI Research
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8 Qualitative Research Methods in AI
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9 Quantitative Research Methods in AI
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10 Research Reproducibility and Transparency in AI
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1 Choosing a Capstone Project Topic Free Preview
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2 Conducting Literature Review for Capstone Project
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3 Creating Visual Aids and Presentations
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4 Data Collection and Analysis Methods
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5 Developing a Capstone Project Proposal
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6 Final Presentation and Defense
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7 Peer Review and Feedback
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8 Writing the Capstone Project Report
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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 Artificial Neural Networks (ANN)
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2 Case Studies in Deep Learning
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3 Convolutional Neural Networks (CNN)
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4 Ethical Considerations in Deep Learning
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5 Generative Adversarial Networks (GANs)
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6 Introduction to Deep Learning Free Preview
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7 Optimization Techniques in Deep Learning
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8 Recurrent Neural Networks (RNN)
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9 Regularization and Dropout in Neural Networks
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10 Transfer Learning and Fine-Tuning
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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 Data Preprocessing
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2 Ethical Considerations in Machine Learning
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3 Introduction to Machine Learning Free Preview
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4 Model Deployment and Monitoring
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5 Model Evaluation and Selection
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6 Neural Networks and Deep Learning
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7 Supervised Learning
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8 Unsupervised Learning
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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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Past examination papers for this unit are being compiled.
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.

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 Master 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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