Overview
The Department of Artificial Intelligence and Machine Learning(AI & ML) at RRCE was established in the year 2020. The Department offers B.E (AI & ML) Undergraduate program and with an intake of 60 students and the Department is affiliated to Visvesvaraya Technological University, Belagavi, Karnataka and approved by AICTE, New Delhi.
Artificial Intelligence and Machine Learning (AL & ML) appear for the next industrial revolution happening in the world today. Artificial Intelligence has been utilized in various fields.
Artificial Intelligence emphasizes the development of intelligent machines which think and work like humans. Machine Learning (ML) is a subset of Artificial Intelligence. ML is the science of designing and applying algorithms that are able to learn things from past cases. Based on a behaviour pattern in the past, it will be possible to predict future outcome. The ML algorithms use Computer Science and Statistics to predict rational outputs.
With the advancement in technology and modernization of today’s hardware & software components within computers which have grown in complexity, capacity & multitasking, the demand for quality engineers with expertise in software engineering has increased. More companies are investing resources in Machine Learning (ML), indicating a robust growth in AI products and apps in the near future.
Keeping this as the goal, the Artificial Intelligence and Machine learning department meets the VTU Curriculum & IT Industry requirements. The branch has an excellent team, dynamic & dedicated faculty members who are highly qualified with a rich & vast experience in teaching. The faculties are involved in proctoring, research, conduction of other co-curricular activities like Seminars, Workshops & Conferences apart from regular teaching.
AI and ML are integral parts of data science, where techniques from both such as regression, projecting analytics and more are applied for coming generation.
VISION
To bring out the competent and socially responsible engineers in the field of AI & ML education, research and innovation.
MISSION
• To Inculcate, the integration process of concepts in AI & ML domain.
• To equip AIML graduates with skills to meet Industry and Societal challenges by skill enhanced training.
• To promote Research and ethical culture through interaction for broader application in AIML domain.
Course Name
Artificial Intelligence & Machine Learning
Duration
4 years
Eligibility
Marks - General
45% Aggregate
Marks - SC / ST / OBC
40% Aggregate
Eligibility - Subjects
Physics & Mathematics along with Chemistry/ Bio technology/ Biology(UG)
Eligibility - Exam
A rank is must in Entrance Examinations like CET, KRLM, COMED –K, AIET, AIEEE etc..
Application Form
Application Not Available! Please contact the office!
A+ Accreditation, Approvals, and Recognition
- Approved by AICTE
- Affiliated to VTU
Career Opportunities
- A career in AI&ML offers great job satisfaction, combined with excellent compensation. A qualified AI&ML Engineer has excellent career prospects. The program offers opportunities to seek employment in prestigious organizations
- With a huge explosion in data and its applications,a career in the field of AI & ML such as - Business Intelligence Developer, Research Scientist, Full stack developer, Software architect, Data analyst, Data warehouse engineer and Product manager are highly demanding.
- The future roles are many with AI&ML as the foundation.
- The graduates of the program can pursue higher education and research at premier national or international universities with a great future in research.
where Artificial Intelligence will make a lot of difference
- Pharmaceutical & Healthcare
- Finance
- Aviation
- Manufacturing
- Logistics
- Industry & home automation
- Cognitive technology
- Information Technologies
- Software products
- Robotics and Automation
- Defense sectors
Activities
Our Strength
Infrastructure
The Department has fully fledged laboratories with latest softwares and systems which supports the curriculum. To enable AI & ML engineering students with best faculties to set an in depth practical understanding of their engineering the projects labs are designed. We have well equipped seminar halls, classrooms, departmental library and research center.
- Data Structures Laboratory
- Analog and Digital Electronics Laboratory
- Design and Analysis of Algorithm Laboratory
- Microcontroller and Embedded Systems Laboratory
- AI and Machine Learning with Python Laboratory
- Database Laboratory
- Natural Language and Image Processing Laboratory
- Web applications Laboratory
- Mobile Application development & Robotics automation Laboratory
- Internet of Things Laboratory
Objectives
Program Educational Objects(PEOs)
- PE0 1: Develop compentent profession in the field of Artificial Intelligence and Machine Learning towards advanced skills in solving contemporary problems
- PE0 2: Pursue their professional on technical and progress towards Research and Entrepreneurship.
- PE0 3: Progress as skilled in team and adapting leadership qualities and ethical values as per the society
Program Outcomes(POs)
- 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 to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
- 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. (WK5)
- PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modeling, analysis & interpretation of data to provide valid conclusions. (WK8).
- PO5: Engineering Tool Usage : Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modeling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- 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. (WK1, WK5, WK7).
- PO7: Ethics : Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
- 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 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
- P1O: 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.
- P11: 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. (WK8)
Program Specific Outcomes(PSOs)
The AIML graduates will have the ability to:
- PSO1: Design and develop AI & ML Solution, through modern engineering tools and Programming Language, Technical skills in presenting modern insights.
- PSO2: Ability to adapt continues changing AI & ML domain for innovative challenges.
- Machine Learning,
- Deep Learning
- Natural Language Processing,
- Vision &Speech Recognition,
- Artificial Neural Network,
- Expert Systems and Fuzzy Logic,
- Data Science.
News & Events
- 29
- Aug
- 2025
5th Semester Students Secure 2nd Prize in Codeothon at Dayanand Sagar College
The Department of AIML, 5th Semester,students has achieved 2nd Prize in Codeothon at Dayanand Sagar College on 29th August 2025.
- 19
- Aug
- 2025
4th Semester VTU Examinations – June/July 2025 Toppers Details
4th Semester VTU Examinations – June/July 2025 Toppers Details
- 13
- Aug
- 2025
Seminar on: “Technical Skills and Internships Impact on Placement”
The Department of Artificial Intelligence & Machine Learning (AIML) is organizing an engaging seminar on: "Technical Skills and Internships Impact on Placement"
- 31
- Jul
- 2025
Academic Excellence of AIML Department – 6th Semester VTU Examination (June/July 2025)
Academic Excellence of AIML Department – 6th Semester VTU Examination (June/July 2025)
- 22
- Jul
- 2025
5-Days FDP on “Enrichment of Lab Skills”
The Departments of AIML & CSE (IoT, Cybersecurity including Blockchain Technology), Rajarajeswari College of Engineering, successfully hosted a 5-Day Faculty Development Program from 22nd – 26th July 2025 at the 1st Floor Seminar Hall, RRCE.
Syllabus
Calendar of Events
- V & VII ODD Semester 2025-26
- III ODD Semester 2024-25
- VIII Even Semester 2024-25
- IV & VI Even Semester 2024-25
KSCST – Funded Projects
Placements Details
Year | Total number of Final year students (Eligible) | Number of students placed |
---|---|---|
2021-2025 | 30 | 13 |
2020-2024 | 54 | 13 |
Journal Publications
Publication & Conference Contribution Summary
Year | IJ | IC | NC | Total |
---|---|---|---|---|
2023-2024 | 19 | 08 | - | 27 |