Real-world experience and project-based learning are crucial for students and help develop the lifelong skills they used to succeed. Giving students a chance to test their activities before learning to serve is optimum. The department of CS at NFC-IET organizes different field trips and industrial tours for the students to broaden their practical knowledge. In addition to this, students avail themselves of the opportunities to serve as internees at different renowned institutes and departments, such as PITB, Software houses, and multinational companies.
Computer Science is the study of Computer and computational systems. Unlike electrical and computer engineers, computer scientists deal mostly with software systems, this includes their theory, design, development, and application.
Principal areas of study within computer science include artificial intelligence, big data analytics, computer networks, and their security, database systems, human-computer interaction, computer graphics and image processing, numerical analysis, the theory of programming languages, software engineering, bioinformatics, and theory of computing.
If you have studied computer science, you will have gained many technical and non-technical skills that are highly valued by employers, from leadership to programming. The increasing scope of computer science means you have plenty of choices in a wide range of highly specialized areas. These include financial organizations, management consultancy firms, software houses, communication companies, data warehouse centers, multinational companies, government agencies, universities, hospitals, etc.
The department of Computer Science missions by pursuing the follwing Objectives:
- To teach students lifelong learning skills, which will allow them to successfully adapt to evolving technologies throughout their professional career.
- To prepare students for employment and advanced studies.
- To teach students effective teamwork, communication, and interpersonal skills
- To continue to pursue a high level of research productivity.