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About CSE (Data Science)

About CSE (Data Science)

The department of CSE (Data Science) was established in the year 2020 with an approved intake of 180. Data Science is an interdisciplinary course combining wide areas of Statistics, Analytics, Knowledge Extraction and Data Visualization. In today’s technical world, the exponential growth of data, requires a science ensuring that the huge volumes of data is handled accurately, analyzed efficiently, knowledge is extracted appropriately and visualized perfectly . Data Science is a complete integration of all these requirements.

This course helps students to build mathematical and engineering skills required to advance their career as a Data Scientist or Data Analyst or Data Engineer and many more. The department aims to train students in rapidly growing areas of data science and encourage them for global certifications. The students will be
motivated to complete their internships in companies and work on real time projects. All the faculty of the department strive to achieve these goals. The Department focus on MOU’s with several companies in order to bridge the gap between academics and industry and make it easy for the students to get placements in a smoother way.

VISION

  • To make students globally competent Data Analytic Experts & Researchers and enhance their capacity to contribute in the field of data science by identifying problems providing solutions in societal aspects.

MISSION

  • To empower students and help them to provide innovative solutions with the help of data analytical skills and new advancements in high performance computing.
  • To lay strong foundation in acquiring software development skills and innovative research to build the gap between industry and academia.

B.TECH COMPUTER SCIENCE AND ENGINEERING (Data Science)

  • PROGRAM EDUCATIONAL OBJECTIVES (PEO's)
  • PROGRAM OUTCOMES (PO's)
  • PROGRAM SPECIFIC OUTCOMES (PSO's)
  • COURSE OUTCOMES (CO's)
  • To prepare the students to identify, formulate and solve critical Computer Science Engineering problems.
  • To impart professional skills and train the students for immediate employment and enlighten them about higher studies in Computer Science and Engineering as well as related disciplines.
  • To strengthen the students with leadership qualities along diverse career paths.
  • To develop interest for inter disciplinary studies and prepare them to apply the skills to solve the social and human problems.
  • Engineering Knowledge: An ability to apply knowledge of mathematics, computing, science, electrical and electronics engineering.
  • Problem Analysis: Identify, formulate, research literature, and analyse 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 public health and safety, and 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 modelling to complex engineering activities with an understanding of the limitations./li>
  • 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./li>
  • 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 the 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: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  • Students will be able to understand the design and development of real-time software solutions using various concepts of basic science and other related disciplines of engineering.
  • Students will be able to apply a broad array of programming concepts and algorithms, and critically analyze problems to develop computational systems for engineering and scientific applications.
  • Students will be able to apply their computational knowledge to develop software projects in various thrust areas honing the skills necessary to transform innovative ideas into reality, further enhance their capabilities for better employment/research/ entrepreneurship/ higher education.
 

 

R22 B.Tech CSE CO’S Click Here
R20 B.Tech CSE CO’S Click Here

 

COURSES OFFERED

S. No. Course Specialization Intake Syllabus
1 B. Tech CSE(DataScience) 180 Syllabus