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Doctor of Philosophy in Information Technology
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Course Outline
10 sections
1. Big Data Analytics
90 mins
9 topics
Introduction to Big Data Analytics
Data Collection and Preprocessing
Data Storage and Management
Data Mining and Machine Learning
Data Visualization
2. IT Project Management
100 mins
10 topics
Introduction to IT Project Management
Project Initiation in IT Projects
Scope Management in IT Projects
Time Management Techniques in IT Projects
Cost Management in IT Projects
3. Research Methods in IT
90 mins
9 topics
Introduction to Research Methods in IT
Research Design in IT
Data Collection Methods in IT Research
Sampling Techniques in IT Research
Data Analysis in IT Research
4. Advanced Database Systems
80 mins
8 topics
Database Query Optimization
Advanced Transaction Management
Data Warehousing and Business Intelligence
NoSQL Databases
Advanced Data Security and Privacy
5. Cybersecurity and Data Privacy
90 mins
9 topics
Introduction to Cybersecurity
Cyber Threat Landscape
Security Frameworks and Standards
Data Encryption and Cryptography
Network Security
6. Machine Learning and Artificial Intelligence
90 mins
9 topics
Introduction to Machine Learning
Linear Regression
Classification Algorithms
Clustering Algorithms
Neural Networks
7. Cloud Computing Technologies
80 mins
8 topics
Introduction to Cloud Computing
Cloud Deployment Models
Cloud Infrastructure Components
Cloud Security and Compliance
Cloud Service Providers
8. Information Systems Management
100 mins
10 topics
Introduction to Information Systems Management
Types of Information Systems
Strategic Role of Information Systems
Information Systems Planning and Development
Information Security and Risk Management
9. Emerging Technologies in IT
70 mins
7 topics
Introduction to Emerging Technologies
Artificial Intelligence (AI) and Machine Learning
Internet of Things (IoT) and Smart Devices
Blockchain Technology
Cloud Computing and Edge Computing
10. Thesis Research and Writing
90 mins
9 topics
Understanding the Research Process
Formulating a Thesis Statement
Conducting Literature Reviews
Research Methodologies
Data Collection and Analysis