About Our Faculty

The Faculty of Technology is at the forefront of applied technology education, combining theoretical knowledge with hands-on practical experience. Our programs are designed in close collaboration with industry partners to ensure graduates are ready for the challenges of tomorrow's technology landscape.

Our Mission

To educate the next generation of technology professionals through innovative, practice-oriented programs that bridge the gap between academic learning and industry application.

What Sets Us Apart

Industry Partnerships

Direct collaboration with leading tech companies for curriculum development and internship opportunities.

State-of-the-Art Labs

Modern facilities equipped with the latest technology for hands-on learning and research.

Research Excellence

Active research programs in emerging technologies, contributing to scientific advancement.

Practical Learning

Project-based curriculum with real-world applications and industry challenges.

Programs Offered

Applied Computer Science (BSc)

Comprehensive program covering software engineering, cybersecurity, and data systems with multiple specialization tracks.

Specializations:
  • Cybersecurity
  • Software Engineering
  • Data Science
  • Cloud Computing

Information Technology (BSc)

Focus on IT infrastructure, system administration, and enterprise technology solutions.

Specializations:
  • Network Administration
  • System Integration
  • IT Management

Applied AI & Machine Learning (MSc)

Advanced program for students looking to specialize in artificial intelligence and machine learning applications.

Focus Areas:
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Robotics

Research Areas

Our faculty conducts cutting-edge research in collaboration with industry and other academic institutions:

Cybersecurity & Privacy

Advanced threat detection, blockchain security, and privacy-preserving technologies.

Artificial Intelligence

Machine learning applications, computer vision, and intelligent systems.

Internet of Things

Smart city technologies, industrial IoT, and edge computing solutions.

Software Engineering

DevOps practices, software architecture, and quality assurance methodologies.

Data Science & Analytics

Big data processing, predictive analytics, and business intelligence.

Cloud Computing

Distributed systems, microservices architecture, and serverless computing.