| Title |
Description |
| PEO 1 |
Graduates will build successful careers in data science, analytics, software development, AI, machine learning, and allied IT industries. |
| PEO 2 |
Graduates will pursue higher education, research, innovation, and entrepreneurship in data science and related interdisciplinary areas. |
| PEO 3 |
Graduates will demonstrate professional ethics, communication skills, teamwork, leadership, and lifelong learning while addressing societal and industrial problems. |
| Title |
Description |
| PSO 1 |
Data Analytics and Statistical Skills
Apply statistical methods, mathematics, data handling, visualization, and analytical techniques to extract meaningful insights from data. |
| PSO 2 |
Programming and Machine Learning Applications
Develop data-driven applications using programming, database systems, algorithms, machine learning, deep learning, and big data technologies. |
| PSO 3 |
Domain-Based Data Science Solutions
Design and implement data science solutions for business, healthcare, social media, IoT, security, image/video analytics, and other emerging domains. |
| Title |
Description |
| PO 1 |
Disciplinary Knowledge: Apply fundamental knowledge of mathematics, statistics, computer science, and data science to solve real-world problems. |
| PO 2 |
Problem Analysis: Identify, analyze, and interpret data-driven problems using statistical, computational, and analytical methods. |
| PO 3 |
Programming and Computational Skills Develop programs and applications using Python, data structures, algorithms, object-oriented programming, and web technologies. |
| PO 4 |
Data Handling and Visualization: Collect, clean, organize, analyze, and visualize data for effective decision-making. |
| PO 5 |
Database and Data Management: Apply database management concepts and business data management techniques for storing and retrieving data efficiently. |
| PO 6 |
Machine Learning and AI Skills: Apply machine learning, deep learning, artificial intelligence, and analytics techniques to develop intelligent solutions. |
| PO 7 |
Modern Tool Usage: Use modern tools, software platforms, and technologies for data analysis, visualization, big data, cloud, IoT, and security applications. |
| PO 8 |
Communication Skills: Communicate technical ideas, analytical results, and project outcomes effectively through reports, presentations, and discussions. |
| PO 9 |
Ethics and Social Responsibility: Apply professional ethics, cyber security awareness, environmental consciousness, and human values in academic and professional practice. |
| PO 10 |
Teamwork and Leadership: Work effectively as an individual and as a member or leader in multidisciplinary teams. |
| PO 11 |
Project and Internship Skills: Apply theoretical knowledge to practical projects, internships, and industry-oriented applications. |
| PO 12 |
Life-long Learning: Develop the ability to continuously learn emerging technologies and adapt to changing data science trends. |
