About the Artificial Intelligence & Machine Learning Programme
The B.E in Artificial Intelligence and Machine Learning is not just about writing code or memorising something. The programme allows the students to understand how smart systems work, how they can use data to solve real-life problems, and how technology can create a massive impact in various sectors
Among B.E in Artificial Intelligence and Machine Learning colleges, our course is designed in such a way that it can produce independent thinkers who can transform concepts into practical implementation. Through a well-built balance between theory and practice, learners are advised to explore, learn through mistakes, and create smart systems that satisfy real-life industry needs
Facilities:
240
NUMBER OF STUDENTS
15
NUMBER FACULTY
07
NUMBER OF LABS
- Focus on the practical aspects of the curriculum to make learning a meaningful and interesting experience.
- Encourage active collaboration with industries, communities, and fellow institutions within the country and abroad.
- Infuse strong moral and ethical principles in students in order to make them conscientious citizens and excellent human beings.
- Cultivate the competitive spirit required for success.
- PEO 1: To provide students with a solid foundation and the ability to use engineering concepts, mathematics, physics, and humanities required to develop, analyse, design, and implement solutions to the problems in intelligent computing and business systems.
- PEO 2: To develop in students, the knowledge of computer science and engineering to work in domains such as artificial intelligence, machine learning and data science.
- PEO 3: To foster in students, the capacity of teamwork through efficient communication in multidisciplinary projects.
- PEO 4: To prepare students for building successful careers in artificial intelligence, data science and business systems to meet the needs of society while incorporating professional ethics.
- PEO 5: To inspire learners to pursue higher education in their desired fields and engage in research.
Engineering Graduates will be able to:
- PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions using principles of mathematics, natural sciences and engineering sciences with consideration for sustainable development.
- PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.
- PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.
- PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
- PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
- PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
- PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
- PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.
- PSO1: Apply fundamental concepts of computer science and engineering to develop efficient and reliable computing solutions.
- PSO2: Conceptualize and build AIML driven intelligent systems capable of modeling and interpreting complex data, while addressing ethical and societal implications.
Course Highlights for B.E in AI & ML
Recognized among leading B.E in AI and ML Colleges, this four-year programme combines strong academic learning with real-world experience to prepare students for challenging roles in technology.
Duration
4 Years | 8 Semesters
Eligibility Criteria
-
Completion of 10+2 with a minimum aggregate of 45% (40% for SC/ST/OBC candidates from Karnataka) in Physics, Mathematics, and one elective subject (Chemistry/Biology/Computer Science/Electronics).
-
Diploma pass with minimum 45% aggregate (5th & 6th sem) eligible for B.E. 3rd semester lateral entry; 40% for SC/ST/OBC Karnataka candidates.
-
Entrance Exam: A valid rank in KCET, COMEDK UGET, or KRLMPCA is required for admission.
Admission Procedure
Online Enquiry
Entrance Examination
Submission of Application
Counselling and Merit-Based Selection
Verification of Documents
Payment of Fees
Online Enquiry
Entrance Examination
Submission of Application
Counselling and Merit-Based Selection
Verification of Documents
Payment of Fees
Reasons to Select This Institution for AI & ML
Why Is It Suitable for You?
The college you choose can shape your future. With a strong record in academics, discipline, and student support, we are recognized as one of the leading B.E in Artificial Intelligence colleges. We focus on helping students grow steadily and build lasting careers.
Industry Connected Learning
Through internships, live projects, hackathons, and workshops led by industry experts, students gain real-world experience similar to what’s offered at the best B.E colleges in Artificial Intelligence.
Modern Campus Facilities
A sustainable, well-equipped campus helps students stay focused, work together, innovate, and grow in all aspects of learning, much like leading B.E colleges in Artificial Intelligence.
Placement Support
A dedicated Training and Placement Cell equips students to align with industry standards, thereby enhancing the opportunities typically available in B.E in AI colleges.
Your Mentors for Success
Seasoned faculty members provide academic support and technical mentorship throughout the program's duration.
Testimonials
Stories of Student Achievement
Alumni frequently recount how their learning experiences have shaped their professional aspirations, strengthened their problem-solving abilities, and helped them become emerging leaders in technology.
"I studied at this college. The ambience and the atmosphere are really amazing. Good infrastructure and facilities. The teaching faculty is also good. Easily accessible to anyone as it is on the side of the main road itself. Good placement opportunities too."
"I’m proud to be a student of SJEC. The green campus creates a great learning atmosphere and the faculty are very supportive. With good sports facilities and exciting cultural and technical events, the college offers a balanced and memorable experience."
"It's one of the best colleges in Mangalore. Well-maintained and cleaned. This gives a peaceful environment. Well disciplined."
"It's a great college, I'm a 2nd year student of the branch AIML in this College, there are so many facilities available here, as well as cafes, and the environment around here is beautiful."
Head of Department
Dr Harivinod N
Professor & HOD
Dr. Harivinod N is a passionate educator and an enthusiastic researcher, deeply committed to advancing knowledge and fostering a stimulating and encouraging learning atmosphere for his students. His dedication to teaching and research is reflected in his ongoing efforts to push the boundaries of technology for the betterment of society. He is interested in designing and developing computer vision solutions using machine learning and deep learning that have a tangible positive impact on society. His projects often address real-world challenges and aim to provide practical solutions that improve the quality of life.
M.Sc, M.Tech, Ph.D
harivinodn@sjec.ac.in
Staff Awards
| 1 | Received Best Paper Award for the paper in National Conference on Advances in Science, Engineering and Management. Aug 23-24, 2019. |
| 2 | Ms Teena Annamma James is a WIPRO certified faculty in DotNet Fullstack. |
| 3 | Ms Theresa Pinto has distinguished as "Top performer" in Augmented Reality learning and workplace experience of Phase 2 of Creators of Metaverse FDP. |
Research Funding Received
Student Project got selection for KSCST funding for the project "Insightconvo: Emotion, behaviour and performance assessment in video interviews" under the guidance Dr. Shreenath Acharya of Rs.4500/.
Frequently Asked Questions
No. Artificial Intelligence and Machine Learning are not similar to Computer Science. In a B.E course in Artificial Intelligence and Machine Learning, students focus on the creation of algorithms that can enable machines to learn based on the data and to make independent decisions. Traditional computer science focuses on programming systems that have fixed code, but AI and ML involve the development of models that are improved by learning.
Students need not be highly mathematical to excel in this field; however, the desire to study logic, statistics, probability, and linear algebra will be beneficial. These topics form the basis of the creation of smart systems and analysis models that are taught in B.E in AI and ML colleges.
Students in B.E in AI and ML colleges take projects that include healthcare prediction systems, intelligent agriculture, conversational AI chatbots, and autonomous robotic platforms. These activities provide students with practical exposure to practical applications.
No. We do know that AI technologies are increasing, and along with that, it requires skilled people. Graduates from B.E in Artificial Intelligence colleges get more job opportunities in the field of designing, administering, and ethically implementing AI-based solutions in a range of industries.
The curriculum followed at SJEC is aligned with the standards seen in leading B.E in Artificial Intelligence colleges.SJEC allows access to advanced computing infrastructure, advanced labs, and hands-on training in tools like Python, TensorFlow, and PyTorch. The interaction with the industry will make sure that students get modern knowledge of applications, such as generative AI and data-driven technologies.
No, SJEC doesn’t require any prior knowledge, as it is one of the best colleges for B.E in Artificial Intelligence in Mangalore. We expect some prior knowledge of programming to be beneficial, but not mandatory. We have a curriculum that begins with the development of foundational coding and analytical skills in the first semester.
Some of the jobs that the graduates can seek include AI Engineer, Data Scientist, Machine Learning Developer, Automation Specialist, and Business Intelligence Analyst. Technology-driven organizations are interested in these positions and hire them from B.E in AI colleges for these roles.
Yes. Project-based learning is a mandatory part of B.E in Artificial Intelligence and Machine Learning, which allows students to practice learned theory on real-world problems in academic and industry-related projects.
Yes, our program includes internships. SJEC, being one of the notable B.E. in AI and ML engg colleges in mangalore, where we believe internships are an essential part of the learning process, so students will get guaranteed professional exposure to the field before graduation.
