Excellence in Data Science Education
Computer Science Department Building - GNIET
Computer Science & Engineering Department - GNIET Campus
Campus & Department Views
The Department of Computer Science & Engineering (Data Science) at Guru Nanak Institute of Technology represents the cutting-edge of modern computing education, established to meet the growing demand for data science professionals in the digital age.
Approved by AICTE and affiliated with RTM Nagpur University, our specialized program combines traditional computer science fundamentals with advanced data analytics, machine learning, and artificial intelligence technologies.
Our curriculum focuses on big data technologies, statistical analysis, predictive modeling, and data visualization, preparing students for careers in data science, analytics, and AI-driven industries.
Our Data Science Vision
To be a premier department in Data Science education, fostering innovation in analytics, artificial intelligence, and big data technologies while producing globally competent data scientists who drive digital transformation across industries.
We are dedicated to creating an environment where students can master the art and science of data analytics, develop expertise in machine learning algorithms, and become leaders in the data-driven digital economy of tomorrow.
Specialized Data Science Education
| Program | Duration | Intake | Eligibility | Affiliation |
|---|---|---|---|---|
|
Bachelor of Engineering
Computer Science & Engineering (Data Science)
|
4 Years | 60 Students |
12th with PCM / Diploma in Engineering
|
RTM Nagpur University
|
Hands-on experience with advanced analytics tools, statistical modeling, and data visualization platforms used in industry.
Partnerships with leading tech companies, data science internships, and real-world project collaborations.
Opportunities for research in AI/ML, data mining, and participation in national/international data science competitions.
Experienced Academic Leaders
Assistant Professor
Qualification: B.Tech (AI)
Specialization: AI, ML, Python
Experience: 1 year
Contact: 7499374390
Email: shwetasbawane@gmail.com
Computer Science And Engineering
Assistant Professor
Contact Number: 7499374390
Email Id: shwetasbawane@gmail.com
UG: B.Tech (Artificial Intelligence)
Artificial Intelligence, Machine Learning, Python Programming Language
Working in GNIET Since March 2025
Research Paper Presentation of International Conference
Assistant Teacher
Qualification: B.Sc Computer Science
Specialization: Computer Science
Experience: Fresher (Jan 2025)
Contact: 9145726391
Email: prathamshbhu123@gmail.com
Computer Science & Engineering
Assistant Teacher
Contact Number: 9145726391
Email Id: prathamshbhu123@gmail.com
Bachelor of Science in Computer Science
Computer Science
Fresher (Teaching Since Jan-2025)
NA
NA
Teaching Assistant
Qualification: B.E. (ETC)
Specialization: Data Science
Experience: Fresher
Contact: 8459758820
Email: abhijeett64@gmail.com
Computer Science & Engineering (CSE)
Teaching Assistant
Contact Number: 8459758820
Email Id: abhijeett64@gmail.com
UG: B.E. (ETC)
PG Diploma: Data Science
Data Science
Fresher
NA
NA
Our dedicated faculty members bring years of industry experience and academic expertise to provide students with comprehensive knowledge in computer science and engineering. They are committed to fostering innovation, research, and practical learning.
Leadership Vision
Dear Students, Faculty, and Visitors,
It gives me immense pleasure to welcome you to the Department of Computer Science & Engineering at Guru Nanak Institute of Technology. Our department stands as a testament to academic excellence and innovation in the field of computer science education.
We are committed to developing a strong foundation of theory and practices of Computer Science and Engineering amongst our students, enabling them to evolve into knowledgeable, responsible professionals and lifelong learners.
Our department actively organizes industry-institute interactions through seminars, guest lectures, industrial visits, webinars, and workshops by industry experts for both students and faculty to keep pace with the dynamic nature of the technology industry.
We believe in nurturing not just technical skills but also leadership qualities, ethical values, and innovative thinking that will help our students excel in their careers and contribute meaningfully to society.
Dr. Sushma Telrandhe
Head of Department, Computer Science & Engineering
Ph.D (ETC)
Head of Department
Ph.D (ETC)
Academic & Research Excellence
Data Science Curriculum Structure
Our Computer Science & Engineering (Data Science) curriculum is designed to provide students with comprehensive knowledge of data analytics, machine learning, and artificial intelligence technologies.
The 8-semester program follows RTM Nagpur University curriculum with specialized focus on Python, R, SQL, machine learning algorithms, big data technologies, and statistical analysis methods.
Each semester builds upon data science fundamentals while introducing advanced concepts in deep learning, natural language processing, and business analytics.
Our specialized curriculum emphasizes hands-on experience with Python, R, SQL, and modern data science tools. Students work on real-world datasets and industry projects, ensuring they graduate with practical skills in data analysis, machine learning, and AI technologies.
Advanced Data Science Infrastructure
High-performance systems with Python, R, Jupyter notebooks, and statistical analysis tools for data exploration and visualization.
GPU-enabled workstations with TensorFlow, PyTorch, and Keras for deep learning and neural network development.
Hadoop cluster, Spark, and distributed computing environment for big data processing and analytics.
SQL and NoSQL databases including MongoDB, Cassandra, and Redis for data storage and retrieval systems.
Tableau, Power BI, and D3.js tools for creating interactive dashboards and data visualizations.
Dedicated space for data science research projects with cloud computing access and advanced analytics tools.
Future Data Scientists
Our Computer Science & Engineering (Data Science) department is home to 240+ talented students across all four years of the B.Tech program. These future data scientists represent the next generation of analytics and AI professionals.
Our students excel in data science competitions, participate in hackathons, work on real-world analytics projects, and secure excellent placements with leading technology and analytics companies. They are encouraged to pursue research in AI, ML, and data analytics.
Total Students: 240+
Placement Rate: 90%+
Average Package: 6.5 LPA
Data Science Excellence
Outstanding performance in national data science competitions, hackathons, and machine learning challenges with multiple winning projects.
Excellent placement records with top companies like Google, Microsoft, Amazon, and leading analytics firms recruiting our data science graduates.
Our students have won multiple data science competitions, published research papers in AI/ML conferences, and secured internships with leading technology companies. The department maintains a strong track record of academic and professional excellence in data science.
Strategic Industry Partnerships
| MOU Partner | MOU Year | Duration |
|---|---|---|
Revat Network |
2021–22 |
3 Years |
ITDAKSH |
2021–22 |
3 Years |
Supersys Services |
2022–23 |
3 Years |
Brillect Technology Pvt. Ltd. |
2022–23 |
3 Years |
CrescentWeb Technology |
2022–23 |
3 Years |
Uniconnect |
2025–26 |
3 Years |
Anishree Technologies |
2025–26 |
3 Years |
Data Science Learning Experiences
Data science competitions, ML hackathons, analytics workshops, and AI/ML conferences organized throughout the academic year.
Regular sessions by data science professionals, analytics experts, and AI researchers from leading companies and research institutions.
Stay tuned for our annual data science symposium, ML competitions, industry visits to analytics companies, and workshop series on emerging AI technologies designed to enhance practical skills and industry exposure.
