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BSc IT Program

Introduction to the BSc IT Program by Dr. Homi Bhabha University

 

Course Descriptions

Our BSc in Information Technology program is designed to provide students with a solid foundation in IT principles, practices, and technologies. The program covers a wide range of topics, ensuring that graduates are well-equipped to meet the demands of the industry.

Core Courses

  • Programming Fundamentals Dive into the world of programming with courses that cover languages such as Python, Java, and C++. Learn the basics of coding, algorithm design, and problem-solving techniques.
  • Database Management Systems: Understand the principles of database design, development, and management. This course covers SQL, data modelling, and database administration, ensuring that students can handle complex data-driven applications.
  • Network and Security: Explore the intricacies of computer networks and cybersecurity. Learn about network architecture, protocols, and security measures to protect data and systems from threats.
  • Software Engineering: Gain insights into the software development lifecycle, from requirements gathering to design, implementation, testing, and maintenance. This course emphasizes best practices and methodologies used in the industry.

Elective Courses

  • Web Development: Learn to create dynamic and responsive websites using HTML, CSS, JavaScript, and modern frameworks. This course covers both front-end and back-end development, equipping students with full-stack development skills.
  • Mobile Application Development: Delve into the world of mobile apps with courses on Android and iOS development. Understand the principles of mobile UX/UI design, app development, and deployment.
  • Cloud Computing: Explore cloud technologies and services, including AWS, Azure, and Google Cloud. Learn about cloud infrastructure, deployment models, and how to build scalable and efficient cloud-based solutions
  • Artificial Intelligence and Machine Learning: Get introduced to AI and ML concepts, algorithms, and applications. This course covers data analysis, neural networks, and real-world applications of AI.

Course includes:

  • Course Duration: 3-6 Months

  • Mode: Offline/Online

  • Live Project: Training/Intership Assistance Available

  • Certifications: Yes

  • Language: English

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