Department of Computer Science & Engineering (Data Science)

  • Department
  • Department of Computer Science & Engineering (Data Science)

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.

Dr. Chandrima Chakrabarti
Head, Dept. of CSE (Data Science), Narula Institute of Technology

Vision

Vision of the Department:

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

Mission of the department:
  • DM1: Excel in Teaching-Learning process and collaborative Research by the use of modern infrastructure and innovative components.
  • 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.
  • DM3: Establish a Data Science based centre of excellence to prepare professional technocrats for solving interdisciplinary industry problems in various applications.
  • 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 (PEOS):
  • 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 Outcome (POs)(B.Tech.):
  • PO1. Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2. Problem analysis:Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3. Design/development of solutions:Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4. Conduct investigations of complex problems:Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5. Modern tool usage:Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  • PO6. The engineer and society:Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO7. Environment and sustainability:Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8. Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9. Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10. Communication:Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO11. Project management and finance:Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12. Life-long learning:Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Outcome (POs)(B.Tech.):
  • PO1. Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2. Problem analysis:Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3. Design/development of solutions:Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4. Conduct investigations of complex problems:Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5. Modern tool usage:Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  • PO6. The engineer and society:Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO7. Environment and sustainability:Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8. Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9. Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10. Communication:Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO11. Project management and finance:Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12. Life-long learning:Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PROGRAM SPECIFIC OUTCOMES (PSOS):
  • 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.
Course Name Degree Intake Strength
Under Graduate (UG) 4 years B. Tech CSE (Data Science) 60

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