Global Institute of Management & Technology
An Unit of National Centre for Development of Technical Education (NCDTE) AICTE Approved | Affiliated to MAKAUT, WB & WBSCT & VE & SD
An Unit of National Centre for Development of Technical Education (NCDTE) AICTE Approved | Affiliated to MAKAUT, WB & WBSCT & VE & SD
PROGRAMS | Intake Capacity | YEARS | SEMESTER | ELIGIBILITY CRITERIA |
|---|---|---|---|---|
B.Tech. in Computer Science & Engineering | 60 Seats | 4
| 8
| 1. Academic Qualification:
Passed 10+2 (or equivalent) examination with Physics and Mathematics as compulsory subjects, along with one of the prescribed subjects, as per applicable admission regulations.
Must satisfy the minimum marks and subject requirements prescribed by the competent authority.
2. Entrance Examination:
Admission through WBJEE / JEE (Main) or as per prevailing admission regulations.
3. Lateral Entry:
3-year B.Tech. (6th semester entry) for eligible Diploma holders through JELET, subject to prevailing rules and regulations. |
B.Tech. in Computer Science & Engineering (Artificial Intelligence and Machine Learning) | 60 Seats
| 4
| 8
| 1. Academic Qualification:
Passed 10+2 (or equivalent) examination with Physics and Mathematics as compulsory subjects, along with one of the prescribed subjects, as per applicable admission regulations.
Must satisfy the minimum marks and subject requirements prescribed by the competent authority.
2. Entrance Examination:
Admission through WBJEE / JEE (Main) or as per prevailing admission regulations.
3. Lateral Entry:
3-year B.Tech. (6th semester entry) for eligible Diploma holders through JELET, subject to prevailing rules and regulations. |
M.Tech. in Computer Science & Engineering | 18 Seats | 2 | 4 | 1. Academic Qualification:
B.E./B.Tech. in Computer Science & Engineering / Information Technology / related eligible discipline, or other qualifications permitted under applicable MAKAUT regulations.
2. Entrance Examination:
Valid PGET (Post Graduate Entrance Test) score conducted by MAKAUT, WB.
GATE-qualified candidates may be considered as per applicable admission rules. |
The Department of Computer Science & Engineering prepares students for diverse career opportunities in the rapidly evolving technology sector by providing strong foundations in computing, emerging technologies, problem-solving, and innovation. Graduates are equipped with the skills required to excel in software industries, research organizations, startups, and technology-driven enterprises.
Students can pursue careers as:
The department also encourages students to pursue higher studies, research careers, and professional certifications in advanced computing domains. Through industry-oriented curriculum, projects, internships, and technical activities, students are prepared to meet global technology challenges and contribute effectively to the digital ecosystem.
The Department provides a modern computing environment that supports teaching, learning, innovation, and research. Well-equipped laboratories enable students to gain practical experience with contemporary software tools and technologies.
Major Laboratories
Computing Infrastructure
Software & Development Tools
| Image | Name | Qualifications | Experience & Publication | Subject Area of Teaching |
|---|---|---|---|---|
| Parag Chatterjee, Assistant Professor | |||
 | Niti Dey, Assistant Professor | |||
 | Prof. Dr. Pranam Paul, Professor & Dean Academics | |||
 | Prof. Dr. Manas Paul, Professor | |||
 | MD.Faruq Islam, Assistant Professor | |||
 | Suman Mondal, Technical Assistant |
The Department of Computer Science & Engineering at GIMT fosters a strong culture of research, innovation, and technological advancement through active involvement of faculty members and students. The department encourages interdisciplinary research, intellectual property creation, industry-oriented projects, and development of innovative solutions in emerging areas of computing.
The faculty members have made significant contributions through Scopus-indexed publications, research articles, patents, and academic collaborations. The department has a strong research portfolio with 200+ publications and 20+ patents contributed by faculty members across diverse domains including Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Computer Networks, Blockchain Technology, Software Engineering, and Advanced Computing.
Students are actively encouraged to participate in research activities, resulting in 51 Scopus-indexed student publications (2024 onwards) through international book chapters and research contributions in areas such as Generative AI, Cyber Security, Healthcare AI, Brain-Computer Interfaces, Virtual Reality, and Intelligent Systems.
With a focus on innovation, research excellence, and knowledge creation, the department continues to nurture a research-driven environment that prepares students and faculty to contribute to academia, industry, and society.
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