Data Science is established in the year 2022 with the intake of 60 students. This program has duly approved by AICTE. The Data Science course in B. Tech program provides the graduates with new trends and technologies in this digital Era. The Department of Data Science in our college offers 4 years B. Tech program with good number of faculty and well-equipped computer laboratories.
This program is a combination of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help our students to find out the hidden insights or patterns from raw data which can be helpful in the formation of big business decisions. As a specialized branch of the global technology, the B. Tech Data Science has a huge scope of growth with ample opportunities to make a mark. Students are also exposed and well versed with the advanced tools through skilling part of a course making them future ready.
Advantages
Well Researched and Carefully Crafted Curriculum. Design Based Learning and Innovative Pedagogies. Skill Development & Personality Development. Internships, Placements & Bright Career Prospects Facilities for Innovation, Incubation and Entrepreneurship. Course delivery through real world applications. Design projects in semester.
Our Vision
To become a leading department in producing Data analytic experts & researchers to accomplish the needs in industry and society.
Our Mission
M1:
Impart the knowledge through states-of-the-art concepts, tools and techniques in Data Science and Analytics.
M2:
Promote technical competence to provide solutions to the future challenges through Industry collaboration.
M3:
Inculcate social responsibility through ethics, environmental and societal consciousness.
M4:
Build leadership and life-long learning qualities to ensure the overall development of stakeholder.
Programmes offered
Under Graduate
Intake
Computer Science & Engineering (Data Science)
60
Program outcomes
PO 1:
Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
PO 2:
Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
PO 3:
Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
PO 4:
Conduct investigations of complex problems using research based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.
PO 5:
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 under- standing of the limitations.
PO 6:
The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
PO 7:
Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
PO 8:
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
PO 9:
Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multidisciplinary settings.
PO 10:
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.
PO 11:
Project Management and Finance: Demonstrate knowledge and understanding of 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.
PO 12:
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
PSO 1:
Apply the core concepts of computational, Data Science, Machine Intelligence and optimized algorithms to produce efficient solutions.
PSO 2:
Apply technical and research skills in Data Science to become a successful Graduate / Entrepreneur / Data Scientist using innovative tools and techniques by providing solutions in the areas of engineering, industry and society.
Program educational objectives
PEO 1:
Apply core concepts in mathematics and computer science with Data Engineering principles to handle real-time data and provide optimized solutions.
PEO 2:
Pursue higher education and research activities through innovative ideas and latest technology-driven projects in the domain of Data Science.
PEO 3:
Work in a collaborative environment and also lead the team by understanding the ethical, societal and financial impact of their work.
