COMPUTER SCIENCE AND ENGINEERING (AI&DS)
About Department
Bachelor of Engineering in Artificial Intelligence and Data Science (B.Tech.AI&DS) is an undergraduate degree program that focuses on the interdisciplinary domains of artificial intelligence (AI) and data science (DS). It is designed to provide students with a strong and solid foundation in AI and DS technologies, along with the necessary programming, statistical, and mathematical skills to develop practical and sustainable data-driven solutions for real-world problems.
The curriculum of B.Tech. AI&DS program typically includes a broad array of core courses related to AI and DS, such as machine learning, data mining, data visualization, big data analytics, statistical analysis, natural language processing, computer vision, and deep learning. Additionally, students may also learn programming, databases, data structures, algorithms, mathematics, probability, and statistics, which are crucial for understanding the underlying concepts of AI and DS.
The program often encompasses practical hands-on experiences through laboratory sessions, projects, internships, and real-world case studies to help students in the application of AI and DS concepts in practical scenarios. Students may engage with real-world datasets, develop AI/ML models, analyze large datasets, and gain proficiency in popular programming languages and tools used in the field, such as Python, R, Tensor Flow, scikit-learn, and Tableau.
Upon completing the B.Tech. AI&DS program, graduates can pursue a wide range of career opportunities in fields such as AI development, data science, machine learning engineering, data analytics, business intelligence, and other AI and DS-related roles in industries such as technology, finance, healthcare, e-commerce, and more. Graduates may build their careers as AI engineers, data scientists, ML engineers, data analysts, or pursue higher education, such as Master’s or Ph.D. programs, for further specialization or research in AI, DS, or allied domains.
Duration: 4 years (Full-Time) – 8 Semesters
Eligibility: A Pass in 10 +2 (Higher Secondary) with Mathematics mandatory .
Sanctioned Strength: 120
Vision
To emerge as a prominent teaching–learning center in the domain of Artificial Intelligence and Data Science that nurtures high-caliber Engineering professionals for the benefit of the industry and society.
Mission
- DM1: Impart quality based education through innovative teaching – learning methodologies to upgrade technical expertise in the learners.
- DM2: Inculcate professional values and ethics in learners to empower them to address societal challenges through academia -industry interface.
- DM3: Foster employability and entrepreneurial skill set in the core domains of AI & DS through experiential and application oriented learning by hands on experience.
- DM4: Equip students with multi-disciplinary skill sets to offer practical viable solutions to real time problems in the contemporary technology scenario.
Program Educational Objectives (PEOs)
After few years of graduation, the graduates of B.Tech (AI & DS) will be:
| PEO1: To equip graduates with the expertise to leverage the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to create systems that call for effective management and accurate analysis of a large volume of data.
PEO2: To empower and enrich graduates with required technical proficiency to pursue innovative research in the field of AI and Data Science and offer disruptive and sustainable solutions for the effective functioning of ecosystems. PEO3: To facilitate graduates to develop logical thinking process, pursue lifelong learning that aligns with an professional attitude in a multidisciplinary team. PEO4: To nurture ability and passion in the graduates for the applications of the acquired knowledge to ensure social development through promotion of ethical and moral values |
Program Outcomes
On successful completion of the Program, the graduates of B.Tech (AI & DS) Program will be able to:
| PO1 | Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
| PO2 | Problem analysis: Identify, formulate, review research literature, and analyze complex
Engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| PO3 | 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. |
| PO4 | 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 |
| PO5 | 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 |
| PO6 | 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. |
| PO7 | 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. |
| PO8 | Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| PO9 | Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| PO10 | 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. |
| PO11 | 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 |
| PO12 | 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
| PSO1: Apply Artificial Intelligence and Data Science methodologies to gain useful insights to find effective solutions to challenging real-life problems. |
| PSO2: Design and formulate innovative AI based software applications to match the needs and demands of industry and society. |
