AI and ML Courses | St Joseph Engineering College, Mangalore

CET Code - E129 PGCET Code : MBA - B300 MCA -C484

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AI & ML Programme

Best Artificial Intelligence & Machine Learning College in Mangaluru

Applying AI and Machine learning concepts to build innovative and impactful technology.

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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

To impart value-based quality education with the motive of transforming mankind with excellence and competing areas of engineering, technology and management.

  • 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.
  • Ability to understand, analyze and communicate global, economic, legal, and ethical aspects of business
  • 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.

  • PSO 1: Entrepreneurship and Freelancing: Recognize the tenets of entrepreneurship, freelancing and the prerequisites for starting a business in the IT or related fields.
  • PSO 2: Competitive Exams: Participate skillfully in competitive examinations for certification, professional advancement, and admission to higher studies.

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.

The contemporary curriculum is designed around the latest AI tools.
Education is facilitated through the development of real projects
Provide hands-on work with data and ML platforms.
Workshops emphasise innovative problem-solving.
Internships within dynamic, technology-oriented companies.
Personalised mentorship from faculty and industry experts.

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

Online Enquiry

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Entrance Examination

Entrance Examination

>>
Submission of Application

Submission of Application

>>
Counselling and Merit-Based Selection

Counselling and Merit-Based Selection

>>
Verification of Documents

Verification of Documents

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Payment of Fees

Payment of Fees

Online Enquiry

Online Enquiry

Entrance Examination

Entrance Examination

Submission of Application

Submission of Application

Counselling and Merit-Based Selection

Counselling and Merit-Based Selection

Verification of Documents

Verification of Documents

Payment of Fees

Payment of Fees

Start Your Technology Career in AI & ML

Apply Now Talk to the Admission Team

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.

Sindhura Bhat
Sindhura Bhat

"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."

Hitha Kaje
Hitha Kaje

"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."

Vinayaka Naik
Vinayaka Naik

"It's one of the best colleges in Mangalore. Well-maintained and cleaned. This gives a peaceful environment. Well disciplined."

Hamdan Siddique
Hamdan Siddique

"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

Profile Image

Dr Harivinod N

Professor & HOD

M.Sc, M.Tech, Ph.D

harivinodn@sjec.ac.in

Read more

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.

Some prior knowledge of programming is beneficial but not mandatory. Like many of the best colleges for B.E in Artificial Intelligence, 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. Technology company internships are an essential part of the learning process learning in B.E in AI and ML colleges, so students will be guaranteed professional exposure to the field before graduation.

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