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N I T
HOD Message
Dr. Parthasarathi De
Head, Dept. of CSE (Data Science), Narula Institute of Technology
In today's digital era, data has emerged as one of the most valuable assets driving innovation, decision-making, and technological advancement across industries. Data Science, an interdisciplinary branch of Computer Science and Engineering, combines statistical analysis, artificial intelligence, machine learning, and big data technologies to extract meaningful insights from complex and large-scale datasets. As organizations increasingly rely on data-driven strategies, the demand for skilled data professionals continues to grow at an unprecedented pace. Recognizing this transformative shift, the Department of Computer Science & Engineering (Data Science) was established in the academic year 2023 with an intake capacity of 60 students. The department is committed to nurturing future-ready professionals equipped with the knowledge, skills, and ethical foundations required to address real-world challenges through data-centric solutions. Our curriculum is carefully designed to provide a strong foundation in core computing principles while integrating advanced concepts such as Machine Learning, Deep Learning, Artificial Intelligence, Data Analytics, Business Intelligence, Data Visualization, Predictive Modeling, Cloud Computing, and Big Data Technologies. Students gain extensive hands-on experience through industry-oriented laboratories, project-based learning, case studies, hackathons, research initiatives, and collaborative innovation activities. The department is supported by a team of highly qualified faculty members with rich academic, research, and industry experience. Their expertise enables students to bridge the gap between theoretical knowledge and practical implementation. Through continuous mentoring and research engagement, students are encouraged to explore emerging technologies, publish scholarly work, and develop innovative solutions that address contemporary societal and industrial needs. At the Department of CSE (Data Science), experiential learning is a key focus area. Students actively participate in mini-projects, internships, industrial visits, technical workshops, expert lectures, coding competitions, and leadership development programs. Our state-of-the-art computing laboratories, equipped with modern hardware, advanced software platforms, and open-source tools, provide an ideal environment for experimentation, innovation, and skill enhancement. The department maintains strong industry-academia collaboration with leading multinational organizations and technology-driven enterprises. Renowned recruiters such as Infosys, TCS, Capgemini, Cognizant, Deloitte, Wipro, IBM, Accenture, ITC Infotech, and several emerging technology companies continue to offer exciting career opportunities to our students. These partnerships facilitate internships, industry projects, professional training, and placement opportunities, enabling our graduates to excel in diverse roles including Data Scientist, Machine Learning Engineer, Data Analyst, AI Engineer, Business Intelligence Analyst, and Data Engineer. Our vision is to develop technically competent, innovative, and socially responsible professionals who can leverage the power of data to create intelligent solutions for a rapidly evolving world. We strive to foster a culture of lifelong learning, research excellence, and technological leadership that empowers students to become catalysts for digital transformation. I warmly invite aspiring engineers and innovators to join the Department of CSE (Data Science) at Narula Institute of Technology and embark on an exciting journey of learning, discovery, and professional excellence.
Overview
Data Science is an offshoot of the Computer Science and Engineering domain and its relevance and importance in solving today’s technologically complex problems has been exponentially growing. Data Science deals with the present high volume of data which are unstructured in many cases and generated across domains. There is a strong need to train students in developing machine learning based system incorporating data analytics and intelligent inferences from complex data. To cater to this demand, the CSE (Data Science) department was established in the academic year 2023. Presently, the department offers B.TECH CSE Data Science with 60 intakes. The department has highly qualified faculty and excellent infrastructure. Many of the faculties have a very rich industry and R&D experience. Students have an opportunity to involve in research during their studies and this will pave the way for research-based career avenues for them. The high competence teaching faculty and the excellent infrastructure creates a stimulating ambience for students to graduate to high quality data engineers and scientists. The goals of the department are to develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling and statistics. The department is providing students with a solid understanding of the foundational concepts and principles of data science, including statistics, probability, data manipulation, and data visualization, Programming Skills, Machine Learning based practical applications. Here, students are given a solid grounding in computer science and problem-solving methods, and are made adaptable to changes with a strong emphasis on context and project-based learning through mini-projects, industry visits, guest lectures, student activities & leadership events. Clean labs with the most recent equipment and software, as well as all open-source technologies help the students to explore their thoughts and implement those thinking help them to grow. Narula Institute of Technology has had the honour of having a host of Multinational Companies like, Infosys, ITC-Infotech, TCS, Capgemini, Cognizant, Deloitte, Wipro, IBM, BYJU’S, Accenture just to name a few. Our close industry connections with these organizations ensure better job opportunities for our students through the campus placement drives with amazing packages creating a niche in the professional world. We welcome students to be the part of Narula Institute of Technology to experience a new journey for a successful engineering career.
Vision
To impart international quality education, promote collaborative research and graduate industry-ready engineers as data scientists in the domain of Data Science to serve the society.
Mission
- M1: DM1: Excel in Teaching-Learning process and collaborative Research by the use of modern infrastructure and innovative components.
- M2: DM2: Impart quality and value based education and contribute towards the innovation of computing, expert system, Data Science to raise satisfaction level of all stakeholders.
- M3: DM3: Establish a Data Science based centre of excellence to prepare professional technocrats for solving interdisciplinary industry problems in various applications.
- M4: DM4: Motivate students to emerge as entrepreneurs with inspiring leadership skills in a societal centric programme to fulfill Industry and community needs with ethical standards.
Program Educational Objectives (B.Tech)
- PEO1: Graduates are prepared to be employed in IT industries and be engaged in learning, understanding, and applying new ideas.
- PEO2: Graduates are prepared to take up Masters / Research programs.
- PEO3: Graduates are prepared to be responsible computing professionals in their own area of interest.
- PEO4: Graduates are prepared to be good entrepreneur and responsible social representatives.
Program Outcomes (B.Tech)
- PO1: Engineering knowledge
- PO2: Problem analysis
- PO3: Design and development of solutions
- PO4: Investigation of complex problems
- PO5: Modern tool usage
- PO6: Engineer and society
- PO7: Environment and sustainability
- PO8: Ethics
- PO9: Team work
- PO10: Communication
- PO11: Project management
- PO12: Life-long learning
Program Specific Outcomes (B.Tech)
- PSO1: Ability to develop advanced knowledge and skill-sets to innovate technological tools and techniques with optimal use of resources and infrastructure in a competitive environment.
- PSO2: Exhibit proficiency in computational knowledge and project development using data science techniques and tools for effective use in analysis, design and development in a multidisciplinary set-up.
- PSO3: Develop high quality research and development aptitude for generation of knowledge and innovative business solutions which are socially and ethically acceptable and recognized by the industry and academia.
program
Under Graduate
4 years B. Tech
Duration: 4 Years
Degree
B.Tech
Intake
60
Post Graduate
M.Tech Computer Science & Engineering
Duration: 2 Years
Degree
M.Tech
Intake
18
BOS
BOS Composition
BOS Minutes
Faculty Details
Infrastructure
| Laboratory No | Name of the Laboratory | No. of students per setup (Batch Size) |
Important equipment | Utilization |
| Lab 1 | 316L Networking Lab and Web development Lab |
35 | PC: Acer Desktop G630 Intel Dual Core Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 2 | 316O Algorithm Lab and Software Engineering |
35 | PC: A) Dell Vostro 3268 Intel Core i3 7thGen (5) B) Dell Vostro 3471 Intel Core i5 9thGen (19) C) HCL Infiniti LA 330 Core 2 Duo(11) Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 3 | 316F DBMS Lab and Computer Graphics Lab |
35 | PC: A) Dell Vostro 3470 Intel Core i3 8thGen (30) B) Dell Vostro 3268 Intel Core i3 7thGen (4) C) HP Dx7480 AB Micro Tower (1) Others: Cisco Managed Edge switch |
Utilized |
| Lab 4 | 316H AI Lab and Data Structure Lab |
35 | PC: Dell Optiplex 3020 Micro Intel Core i3 3rdGen Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 5 | 316K Programming Labs (OOP with Java) And Programming Lab (C/Python) |
35 | PC: A) HCL Infiniti LA 330 Core 2 Duo Others: 48 port Cisco Managed Edge switch |
Utilized |
| Lab 6 | 316E Numerical Programming Labs And Statistical Programming Lab |
35 | PC: A) Dell Vostro 3470 Intel Core i3 8thGen (30) B) Dell Vostro 3268 Intel Core i3 7thGen (4) C) HP Dx7480 AB Micro Tower (1) Others: Cisco Managed Edge switch |
Utilized |
| Lab 7 | 316R Research Lab |
15 | PC: A) HP 280G4 IntelCore i5 (15) Others: 48 port Cisco Managed Edge switch |
Utilized |
| Project Lab1 | Project Lab | 30 | PC: A) HP 280G4 IntelCore i5 (30) Others: 48 port Cisco Managed Edge switch |
Utilized |
R & D
| Academic Year | No. of SCI / Scopus Journals | No. of Books / Book Chapters | No. of Conferences | No. of IPR |
| 2022-23 | 4 | 7+1(Book) | 4 | 0 |
| 2023-24 | 15 | 6+6(Book) | 11 | 9 |
| 2024-25 | 14 | 20+12(Book) | 17 | 26 |
Events
| Year | No of Events/Webinar/Seminar/Workshops |
| 2022-23 | 3 |
| 2021-22 | 6 |
| 2020-21 | 15 |
| 2019-20 | 5 |
| 2018-19 | 3 |