Departmental Overview

The Department of Computer Science and Engineering was established in the year 2009, offering undergraduate programs. The laboratories of the department are well equipped with advanced and sophisticated instruments, to fully satisfy the training needs of the students. A pre-placement training program and add-on courses (over and above the syllabi) from tie-ups and MOUs with industries is in place and accommodated along with the class work from second year onwards. The department is qualitatively standardized NAAC Accreditation.

The Department has eight State-of-the-Art Computer Laboratories each with 40-60 systems with latest configuration and WiFi connectivity. There are three high end servers of HP PROLIANT series used for MH-CET online exam in addition to a Window server and Linux server catering to the intranet and web needs.

The department aims at working on consultancy-based projects from industry. The department strives to build a highly motivated R&D team in collaboration with some of the top research-based organizations. The department has tied up with professional bodies like CSI, ISTE and built professional student chapters.

Vision & Mission

Vision

To be a department of excellence in Engineering and Technology for making competent professionals in the field of Computer Science serving as a valuable resource for industry and society.

Mission

Transform young men and women into responsible thinking engineers.
Establish Industry Institute Interaction program to enhance the entrepreneurship skills.
To inspire them to proactively engage themselves for the betterment of the society.

Programs

B.Tech. in Computer Science – 60 students

Program	B.Tech
Duration	4 years
Eligibility Criteria	HSC (10+2) in MPC (or) Diploma in Computer for direct admission into 2nd year.

Faculty Profile

Experienced Academic Leaders

Dr. Vijaykumar Urkude

Professor

Qualification: PhD, M.Tech., B.E.

Department: Computer Science

Experience: 25 Years

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Dr. Ajay Tinguriya

Associate Professor

Qualification: PhD, M.Tech., B.E.

Department: Computer Science

Experience: 31 Years

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Ms. Manjusha Talmale

Associate Professor

Qualification: M.Tech., B.E.

Department: Computer Science

Experience: 19 Years

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Mr. Vikas Kushwaha

Associate Professor

Qualification: M.Tech., B.E.

Department: Computer Science

Experience: 08 Years

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Ms. Nikita Saklani

Assistant Professor

Qualification: M.Tech., B.E.

Department: Computer Science

Experience: 04 Years

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Mr. Nitesh Gotmare

Assistant Professor

Qualification: M.Tech., B.E.

Department: Computer Science

Experience: 12 Years

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Ms. Kajal Mange

Assistant Professor

Qualification: M.Tech., B.E.

Department: Computer Science

Experience: 04 Years

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Ms. Bhagyashree Joshi

Assistant Professor

Qualification: M.Sc, B.Sc, B.Ed.

Department: Computer Science

Experience: 03 Years

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Ms. Bhumika Choudhari

Assistant Professor

Qualification: M.Sc, B.Sc.

Department: Computer Science

Experience: 04 Years

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Ms. Diksha Barbate

Assistant Professor

Qualification: M.Tech., B.E.

Department: Computer Science

Experience: 03 Years

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Ms. Aarti Dandhare

Assistant Professor

Qualification: M.Tech., B.E.

Department: Computer Science

Experience: 01 Years

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Ms. Priyanka Ramteke

Assistant Professor

Qualification: M.Sc, B.Sc

Department: Computer Science

Experience: 10 Years

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HoD Message

Ms. Jagrati Ghotole

Head of Department

Computer Science department is committed to providing an enriching academic environment where students can explore, innovate, and excel in the field of computer science. Whether you are a prospective student, a current member of our community, or an esteemed visitor, we invite you to discover the exciting opportunities awaiting you at GNIT Nagpur.

As you navigate through our website, you will find information about our faculty, Student academic programs, and upcoming events. Our dedicated faculty members bring a wealth of expertise and passion to the classroom, ensuring that students receive a top-notch education that prepares them for success in the ever-evolving world of technology.

From cutting-edge research in artificial intelligence and cybersecurity to hands-on projects in web development and software engineering, our curriculum is designed to equip students with the knowledge and skills needed to tackle real-world challenges and make meaningful contributions to society.

Laboratories

Sr.No	Name	Detail
1.	Database Management System Lab	The Database Management System (DBMS) Lab at GNIT Nagpur offers practical training in SQL queries, database design, and manipulation operations. Equipped with modern DBMS software like MySQL or Oracle, students learn to create databases, tables, and perform data retrieval and updates.
2.	Hardware Lab	The Hardware Lab at GNIT Nagpur provides hands-on experience in computer hardware components and systems. Equipped with modern hardware such as CPUs, motherboards, RAM, and peripherals, students learn assembly, installation, and troubleshooting techniques.
3.	Advanced Programming Lab	The Advanced Programming Lab at GNIT Nagpur offers hands-on training in advanced programming concepts and techniques. Equipped with state-of-the-art development environments and tools, students delve into topics such as algorithms, data structures, and software design patterns.
4.	Computer Workshop Lab	The Computer Workshop Lab at GNIT Nagpur provides practical training in computer hardware assembly, troubleshooting, and repair. Equipped with tools and components, students learn hands-on skills for building and maintaining computer systems.
5.	System Prograaming lab	The System Programming Lab at GNIT Nagpur offers practical experience in low-level software development and system-level programming. Equipped with tools and compilers, students explore concepts such as memory management, process synchronization, and device drivers.
6.	AI Lab	The AI Lab at GNIT Nagpur provides hands-on experience in artificial intelligence technologies and applications. Equipped with cutting-edge tools and frameworks, students explore machine learning algorithms, neural networks, and natural language processing.