CSE (Data Science)

CSE (Data Science)

B.Tech - CSE (DS) is a four-year under-graduate program in Data Science which provides a platform to undergraduate students for a prospective career in upcoming data science industry. The course encompasses Data Science as an interdisciplinary, problem-solving approach that learns to apply scientific techniques to practical problems. It is an intensive skill-oriented program with enough practical training for building business models for analytics. With analysis and statistical approach, data science is one of the fastest growing career opportunities in the country. It is designed to give exposure to the variety of applications that can be built using techniques covered under this program. Students graduating from the B.Tech CSE (DS) program will have significantly more depth and breadth in the broad area of data science.

Courses Outcome

Vision

To produce excellent professionals in the field of Computer Science & Engineering for the economic and social development of the nation in this completive and progressive global environment.

Mission

To impart an education that focuses on interactive instruction, practical sessions, and project learning.

  • M1:To prepare the students for high-quality interdisciplinary research and development for industrial innovations.
  • M2:To prepare students for their successful career and challenges in their professional life.
  • M3:To imbibe the best professional practices to make them ethical and socially responsible citizens to contribute to the nation and global development.
Mission

HOD's Message

As the Head of the B.Tech CSE (Data Science) program at Meerut Institute of Technology, Meerut, I am delighted to welcome you to a transformative educational journey that lies at the intersection of technology and innovation. Our program is designed to provide students with cutting-edge skills in data science, preparing them to go ahead in an era where data-driven decision-making is dominant. In our program, we accentuate a robust foundation in computer science combined with specialized training in data analytics, machine learning, and artificial intelligence

Our curriculum is thoroughly crafted to balance theoretical knowledge with practical applications, ensuring that our students are adept at tackling complex problems and leveraging data to drive meaningful insights.

Our experienced faculty members are passionate about both teaching and research. They bring a wealth of industry experience and academic expertise to the classroom, offering students a exceptional blend of perspectives and real-world insights. We also foster strong connections with industry leaders and tech companies, providing students with opportunities for internships, projects, and collaborative research.

At Meerut Institute of Technology, Meerut, we believe in a holistic approach to education. Our state-of-the-art facilities, collaborative learning environment, and emphasis on innovation prepare students not just to excel academically but to flourish in their careers. We are dedicated to nurturing the next generation of data scientists who will shape the future of technology and analytics.

PEOs

  • PEO 1:To develop the ability among the students to apply their knowledge in the file of Computer Science & Engineering
  • PEO 2:To develop core competence in the field of computer engineering to design, formulate, solve and analyze engineering problems
  • PEO 3:To develop oral and written communications and imbibe Social ethics, social- responsibility, team work, and leadership for serving the society.
  • PEO 4:To motivate and prepare graduates to pursue higher education and research in the field of Computer Science & Engineering.
  • PEO 5:To promote professional ethics, and lifelong learning in the field of Computer Science & Engineering.
     

Program Outcome

  • Engineering Graduates will be able to:
  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • 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.
  • 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.
  • 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.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • 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.
  • 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.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • 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.
  • 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.

PSOs

Admission 2025-26