Department of Computer Science and Engineering Education

The Department of Computer Science and Engineering Education (DCSEE) offers a wide range of programs, including Ph.D., M.Tech and PG Diploma courses in various specialized areas. These programs are designed to equip students and researchers with advanced knowledge and practical skills to address current and emerging challenges in the field of Computer Science and Engineering.

Ph.D. Program:

The department actively engaged in cutting-edge research in the areas such as Artificial Intelligence & Machine Learning, Deep Learning, Cyber Security, Big Data Analytics, Quantum Computing, Image Processing, Medical Image Processing, Computer Vision, Real-time Image and Video Analysis, Internet of Things (IoT), Network Security, Secure routing, Secure Data Communications in Cloud, Cryptography, Blockchain Technology, Social Network Analysis, Recommendation System, e-learning, e-business, e-Healthcare, Smart Agriculture, and engineering education. Doctoral candidates engage in both theoretical and application-oriented research aligned with national and global challenges.

M.Tech. IN COMPUTER SCIENCE AND ENGINEERING (BIGDATA ANALYTICS)

The M.Tech in Computer Science and Engineering (Big Data Analytics) programme is crucial for equipping the working professionals with the specialized skills required to manage, process, and extract valuable insights from the exponential growth of big data. This postgraduate programme emphasizes sustainable solutions on Big Data with the special consideration of major emerging fields such as System Security, Healthcare, Social Network and Business Analysis. This course covers essential topics including Data Analytics, Decision-Making using ML, Deep learning, Image and Speech Recognition, Text Mining and Analysis using natural language processing, Advanced AI, Distributed Computing, Cloud Computing, Cyber security, Information Security and AI in applications, ensuring that learners are equipped with a comprehensive skill set to thrive in the industry. It prepares graduates for high-demand roles such as Data Scientists, Big Data Engineers, Machine Learning Engineers, and Business Intelligence Analysts, enabling them to lead data-driven initiatives in the era of digital transformation

POST GRADUATE DIPLOMA IN ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI & ML) – (ONE YEAR):

This program trains the graduates as per the current market demand and make the professionals as skilled professionals in the domains of various emerging areas including healthcare, finance, security, e-business, agriculture, and education. This Post Graduate Diploma Programme in Artificial Intelligence and Machine Learning is designed to bridge this gap by equipping learners with the knowledge, skills, and tools necessary to excel in the AI and ML landscape. The programme offers a perfect blend of theoretical foundations and practical applications, enabling learners to develop a robust understanding of AI and ML concepts while gaining hands-on experience with cutting-edge tools and technologies. The course covers essential topics, including Data Analysis and Decision-Making using ML, Image and Speech Recognition, Text Mining and Analysis using natural language processing, AI in applications, ensuring that learners are equipped with a comprehensive skill set to thrive in the industry.

AICTE QUALITY IMPROVEMENT PROGRAMME (QIP)-M.Tech. AND Ph.D. PROGRAMMES

The Department of Computer Science and Engineering Education (DCSEE) at NITTTR Bhopal is a recognized QIP center under the AICTE Quality Improvement Programme (QIP) for the M.Tech. and Ph.D. degree programs. These programs are specifically designed for faculty members working in AICTE-approved institutions to enhance their qualifications and contribute to the quality enhancement of technical education in the country

PROGRAMS OFFERED UNDER QIP:

1. QIP M.Tech. PROGRAMME:

M.Tech. in Computer Science and Engineering (Bigdata Analytics)

2. QIP Ph.D. PROGRAMME:

Research Areas:

Artificial Intelligence & Machine Learning, Deep Learning, Cyber Security, Big Data Analytics, Quantum Computing, Image Processing, Medical Image Processing, Computer Vision, Real-time Image and Video Analysis, Internet of Things (IoT), Network Security, Secure routing, Secure Data Communications in Cloud, Cryptography, Blockchain Technology, Social Network Analysis, Recommendation System, e-learning, e-business, e-Healthcare, Smart Agriculture, and engineering education.