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Program Objectives & Accreditation
Vision
To produce excellent standard, quality education of professionals by imparting cognitive learning environment, research and industrial orientation to become innovative Data Science Professional.
Mission
- To develop professionals in the areas of math’s (probability and statistics, liner algebra and Calculus), natural language processing, text mining, and problem solving.
- To educate the students with latest technologies to update their knowledge in the field of AI and Data science.
- To impart quality and value based education and contribute towards the innovation of computing system, data science to raise satisfaction level of all stakeholders
- Enabling students to get expertise in critical skills with data science education and facilitate socially responsive research and innovation.
- Our effort is to apply new advancements in high performance computing hardware and software
Program Educational Objectives (PEOs)
- To introduce the fundamentals of science and engineering concepts essential for a data architect / data scientist.
- To inculcate the knowledge of mathematical foundations and algorithmic principles for effective problem solving.
- To provide knowledge in data science for modern computational data analysis and modeling methodologies.
- To provide the knowledge in artificial intelligence techniques and apply them to develop relevant models and real time products.
- To impart knowledge to analyze, design, test and implement the model required for various applications.
- To hone personality skills, trigger social commitment and inculcate societal responsibilities.
Program Outcomes (POs)
- Analyze and build models applying the knowledge of mathematics, statistics, electronic, electrical and computer science discipline and solve the problem.
- Identify the sources of information for data collection, design and conduct the experiments and interpret the result.
- Think out-of-the box and solve the real time problems using their creativity in designing human friendly software systems.
- Comprehend computer engineering concepts of the new research developments and apply them to develop relevant software and hardware products.
- 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.
- Apply the computing knowledge to solve the socially relevant problems.
- Understand the impact of engineering solutions in global, economic, environmental, societal context and apply it in exploring the new developments, research trends and involve them in research.
- Develop professional integrity by understanding and appreciating professional, legal, ethical, cyber security and related issues and act with responsibility.
- Communicate, collaborate and work as a team by involving in the group projects of multi-disciplinary nature.
- To prepare documents as per the standards and present effectively to improve software documentation skills.
- Apply the hardware and software project management techniques to estimate the time and human resources required to complete computer engineering projects.
- 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)
- Understand, analyze and develop essential proficiency in the areas related to data science in terms of underlying statistical and computational principles and apply the knowledge to solve practical problems.
- Implement data science techniques such as search algorithms, neural networks, machine learning and data analytics for solving a problem and designing novel algorithms for successful career and entrepreneurship