About the Program

The B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) program at Dr. B.C. Roy Engineering College, Durgapur prepares students for dynamic and high-growth career opportunities in the evolving technology landscape. Graduates can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Data Analyst, Software Developer, and Business Intelligence Analyst across leading IT companies, research organizations, startups, and technology-driven enterprises. With strong foundations in programming, deep learning, data analytics, and intelligent systems, students are equipped to contribute to cutting-edge innovations in automation, predictive modeling, computer vision, natural language processing, and smart systems development.

Beyond core industry roles, students of B.Tech in CSE (AIML) at Dr. B.C. Roy Engineering College also have pathways into research, higher education, and entrepreneurship. Graduates may pursue M.Tech, MS, or MBA programs in India and abroad, specialize in advanced AI domains, or prepare for competitive examinations in technical and public sector organizations. The program’s industry exposure, project-based learning, and internship opportunities enable students to build strong professional portfolios, positioning them for leadership roles in the future of artificial intelligence and emerging technologies.

Vision & Mission

Vision:To become a global leader in the field of Artificial Intelligence, nurturing innovative minds for ground-breaking research and development, fostering entrepreneurial spirit and ensuring employability, while making a positive impact on society through AI technology.

Misssion:

M1:To foster an innovative academic environment that nurtures creative thinking, promotes ground-breaking research in Artificial Intelligence, and cultivates the next generation of global leaders in the field.

M2:To stimulate entrepreneurial spirit by providing opportunities and resources for our students to develop, refine, and apply their AI skills in innovative and enterprising ways, while ensuring their readiness for an increasingly AI-driven job market.

M3:To commit to the responsible application of AI technology, ensuring our research and development efforts contribute to the betterment of society, and addressing the ethical, societal, and environmental implications of AI.

Program Educational Objectives (PEO)

  1. Be in regular employment in core IT industries or AIML industries or will pursue higher studies or establish start-up companies.
  2. Continue demonstrating life-long learning ability by accilimating to emerging technologies and accepting challenges to serve the nation by solving short-term or long term societal problems as an individual or as a part of a team.
  3. Demonstrate effective communication skills and exhibit leadership skills for achieving professional advancement without violating any professional code of conduct.

Program Outcomes (PO)

Till 2024-25 AY

Program Outcomes Statement
PO1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
PO2 Problem Analysis: Identify, formulate, 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 public health and safety, and 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 contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice.
PO7 Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of, and need for, sustainable development.
PO8 Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
PO9 Individual and Teamwork: Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
PO10 Communication: Communicate effectively on complex engineering activities with the engineering community and society at large through effective reports, documentation, presentations, and clear instructions.
PO11 Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply them as a member or leader in a team to manage projects in multidisciplinary environments.
PO12 Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

2025-26 AY Onwards

Program Outcomes Statement Knowledge and Attitude Profile
PO1 Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop solutions for complex engineering problems. WK1, WK2, WK3. WK4
PO2 Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. WK1, WK2, WK3, WK4
PO3 Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems, components, or processes to meet identified needs with consideration for public health and safety, whole-life cost, net zero carbon, culture, society, and the environment. WK5
PO4 Conduct Investigations of Complex Problems: Conduct investigations using research-based knowledge including design of experiments, modelling, analysis, and interpretation of data to provide valid conclusions. WK8
PO5 Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modelling, recognizing their limitations to solve complex engineering problems. WK2, WK6
PO6 The Engineer and the World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for their impact on sustainability with reference to economy, health, safety, legal framework, culture, and environment. WK1, WK5, WK7
PO7 Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion while adhering to national and international laws. WK9
PO8 Individual and Collaborative Teamwork: Function effectively as an individual and as a member or leader in diverse or multidisciplinary teams.
PO9 Communication: Communicate effectively and inclusively within the engineering community and society at large through reports, documentation, and presentations considering cultural, language, and learning differences.
PO10 Project Management and Finance: Apply knowledge of engineering management principles and economic decision-making to manage projects and work effectively in multidisciplinary environments.
PO11 Life-Long Learning: Recognize the need for independent and lifelong learning, adaptability to emerging technologies, and critical thinking in the context of technological change. WK8

Program Specific Outcomes (PSO)

  1. Demonstrate fundamental knowledge and skills related to Artificial Intelligence and Machine Learning and relate the, to real world problems.
  2. Apply fundamental statistical/mathematical methodologies and fundamental computational algorithms to understand and design most elementary real-world problems.
  3. Implement fundamental AI and ML algorithms by using Python/R for solving most elementary real-world model problems.
  4. Elaborate fundamental applications of different AI techniques in Computer Vision, Natural Language Processing, Speech Recognition and so on.

Eligibility

Career Path

Graduates of the B.Tech in Computer Science and Design program at Dr. B.C. Roy Engineering College, Durgapur have diverse career opportunities across the IT industry, digital media sector, and emerging technology domains. They can pursue roles such as UI/UX Designer, Front-End Developer, Full-Stack Developer, Machine Learning Engineer, Data Analyst, Game Developer, AR/VR Developer, IoT Application Developer, Blockchain Developer, and Cyber Security Analyst in leading technology companies, startups, product-based firms, and creative digital agencies. With the rapid growth of artificial intelligence, interactive applications, immersive media, and smart digital platforms, professionals skilled in both computing and design are in high demand.

In addition to industry roles, students can prepare for competitive examinations such as GATE and other government or public sector recruitment exams for technical positions. Many graduates also opt for higher studies (M.Tech, MS, MBA, or specialized Design programs) in Computer Science, Artificial Intelligence, Data Science, Human-Computer Interaction, and Digital Media in reputed institutes in India and abroad. With a strong blend of technical expertise and creative problem-solving skills, graduates can also explore entrepreneurship, product development, digital consultancy, and research careers in cutting-edge technology and design innovation.

Syllabus


Old Syllabus (MAKAUT)
Stream Course Structure Course Outcome Syllabus
Computer Science and Engineering (Artificial Intelligence and Machine Learning) View View View
New Syllabus (Autonomous)
Stream Course Structure Syllabus
Computer Science and Engineering(AIML) View Sem-1 Sem-2 Sem-3 Sem-4 Sem-5 Sem-6 Sem-7 Sem-8

FAQs

×
×
× -