- +91 7666615915
- info@bharatedu.co.in
- BCOE, Kanhor, Badlapur (W)
The Department of Computer Science & Engineering – Artificial Intelligence & Machine Learning was established in the academic year 2020–21. It is approved by AICTE–New Delhi and affiliated with Mumbai University. The department offers a Bachelor of Engineering (B.E.) undergraduate program with an annual intake capacity of 60 students. The curriculum, meticulously developed by experienced faculty members, follows an Outcome-Based Education (OBE) framework and integrates both foundational theories and hands-on technical skills essential to the AI and ML domain. Since its inception, the department has remained committed to academic excellence, continuously updating its pedagogy to align with the latest advancements in technology and industry standards. Our objective is to develop competent, forward-thinking graduates who will become leaders in this transformative field.
The program is designed to provide a comprehensive understanding of core technologies such as artificial intelligence, data mining, and data modeling, while also offering advanced knowledge in machine learning, deep learning, and big data analytics. Students gain interdisciplinary expertise across areas including statistics, computer science, logical reasoning, and data-driven decision-making. Career prospects for graduates span diverse sectors such as healthcare, finance, e-commerce, social media, climatology, biotechnology, and genetics. The curriculum also covers essential AI fundamentals like state-space representation, search algorithms, and machine learning techniques, while encouraging ethical considerations in the application of AI and data science. Emphasis is placed on practical exposure, innovative thinking, and problem-solving capabilities, preparing students for a seamless transition from academic settings to professional environments. The department’s strong industry linkages, expert faculty, and modern infrastructure collectively make this program a unique and future-ready academic offering.
To nurture students with sound engineering knowledge through the effective use of modern tools with a focus on local and global employability as an AI & ML professional by imbibing leadership qualities, ethical attitude, lifelong and social sensitivity.
To foster technical excellence by imparting strong foundational knowledge in Artificial Intelligence, Data Mining, and Data Modelling, complemented by advanced learning in Machine Learning and Big Data Analytics, preparing students to innovate, lead, and excel in industry and research.
To provide high-quality education by integrating modern infrastructure with forward-looking technologies, equipping students with the skills needed for evolving industry and academic landscapes.
To nurture a culture of inquiry and innovation by encouraging project-based learning and building strong connections between academia and industry.
To develop responsible professionals by fostering collaboration, ethical awareness, and a commitment to continuous learning and societal well-being.
PROGRAM OUTCOMES (PO’s):
| Sr.No | PO Code | Program Outcomes |
|---|---|---|
| 1 | PO.1 | Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
| 2 | PO.2 | 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. |
| 3 | PO.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 | PO.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 | PO.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 | PO.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 | PO.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 | PO.8 | Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| 9 | PO.9 | Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| 10 | 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. |
| 11 | PO.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 | 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’s):
| Sr.No | PSO Code | Program Specific Outcomes |
|---|---|---|
| 1 | PSO.1 | Ability to identify interdisciplinary problems related to various sectors in order to evolve novel and sustainable solutions by using research techniques and concepts of Internet Of Thing. |
| 2 | PSO.2 | Ability to apply practices of artificial intelligence and machine learning by appropriate selection of tools and technologies for different use cases to build new-age products and services for society. |
PROGRAM EDUCATIONAL OBJECTIVES (PEO’s):
| Sr.No | PEO Code | Program Educational Objectives |
|---|---|---|
| 1 | PEO.1 | Graduates would be proficient with strong fundamentals in engineering, science, and technology to establish a successful career path in their life. |
| 2 | PEO.2 | Graduate would be knowledge to plan, analyze, design, develop and test AI and ML based solutions for real world problems. |
| 3 | PEO.3 | Graduates would be able to apply best practices in project building and exhibit leadership qualities with strong personality. |
| 4 | PEO.4 | Graduates would possess the capability to become an entrepreneur or to pursue higher studies. |
| 5 | PEO.5 | Graduates would adhere to professional ethics and become socially responsible humans. |
Welcome to the Department of Artificial Intelligence and Machine Learning (AI&ML) the department offers four year B.E. Degree course in Artificial Intelligence and Machine Learning (CSE)
The department aims to develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning for noteworthy contributions to the society.I feel proud to be leading the department having team of qualified, experienced, talented and dedicated faculty members and supportive staff. The department also provides the laboratories to the students so that they can carry out real world multidisciplinary projects and perform research work in effective way.Department provides Social-awareness & environmental-wisdom along with ethical responsibility to lead a successful career and to sustain passion and zeal for real-world applications using optimal resources to the students.
Bharat College of Engineeing
