The world is awash in huge volume of data and currently data scientist specialists are needed for unlocking its potential for various organizations. The B.Tech Computer Science and Engineering program with specialization in Data Science is an innovative, exponentially rising field which consists of a set of tools and techniques used to extract useful information from data. It emphasizes to enhance student skills in Data Science by imparting them mathematical models with engineering and scientific principles to unravel solutions for real time problems. Due to the large growth in the scope of data, every business depends on data-driven decision making. The curriculum of this program is systematically designed to expose students to various data analysis areas such as data mining, statistics, predictive analysis, programming for data science, data visualization etc., The undergraduates of this program go on to become Data Scientists, Data Engineer, Data Warehouse Architect, Business Intelligent Analysts, Big Data Architects and Research Scientist.

PEO1:
Graduates are prepared to apply analysis, predictions, optimization, decision making and develop skills in order to formulate and solve complex problems in the area of Data Science
PEO2:
Graduates are prepared to take up higher studies, research & development and other creative efforts in the area of Data Science which drives scientific and societal advancement through technological innovation and entrepreneurship
PEO3:
Graduates are prepared to use their skills and abilities in an ethical & professional manner

1. Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
11. 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.
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.

Engineering Students will be able to:

PSO1: Apply data science concepts and methods to solve real world problems
PSO2:Design and develop statistical models for data preparation, exploration, visualization and governance
PSO3:Adapt to a rapidly changing environment by learning and employing emerging software tools and technologies in the area of Data Science