Department of CSE(Artificial Intelligence & Machine Learning)

Help build the future of computing

The Department of CSE(Artificial Intelligence & Machine Learning)

Is for students...

who are innovative thinkers and for those who want to master the world of technology. Students should have strong mathematical and analytical skills to understand how digital technologies can be used as drivers of innovation. This course provides a cutting-edge exploration of programming, mathematics, and analytics to create out-of-the-box designs with digital technologies necessary to drive innovation across borders and sectors.

Courses offered

  • BE in CSE (Artificial Intelligence & Machine Learning) — 120 intake

Why Aritificial Intelligence & Machine Learning?

Artificial Intelligence (AI) is a new and upcoming program in the area of computer science that is rapidly expanding its boundaries to variety of fields like healthcare, security, entertainment, education, autonomous transportation, intelligent robots, space exploration, speech processing, stock trading and many more. AI and its applications have brought significant changes in our lives. AI tries to bring in intelligence into machines artificially by mimicking the human intelligence. Machine learning (ML) is an application of AI that tries to build self-learning ability into the machines. AI and ML are important drivers of digital transformation and have created plenty of job opportunities. There is a huge demand for skilled engineers trained in these technologies. A Degree in this program is valuable and makes the student industry relevant.

Course Overiew

We offer a 4 year B.E program in CSE(Artificial Intelligence and Machine learning) which covers fundamentals of computer science courses along with necessary courses pertaining to AI and ML. This course helps to gain primary knowledge and skills in mathematics, network architectures. computer vision, programming, ,communication networks, and machine learning subjects such as, natural language processing, image analysis, text analytics and their applications in areas from vision to automated reasoning where machine learning techniques are applicable.

First year – The students study the subjects that are common to all the engineering disciplines.

Second year – Core subjects in Computer Science such as Data Structures, Computer Organization, Data communication and Computer Networks, Discrete Mathematics, Automata Theory, Analysis and Design of Algorithms, Signals and Linear Systems, Operating Systems, Database Management, AI with Python etc.

Third and fourth year consists of advanced subjects pertaining to Artificial Intelligence and Machine Learning such as Machine Leaning with Deep Learning, Computer graphics and Visualization, Big Data, Advanced statistics, Image processing, Pattern recognition, Internet of Things, Cloud Computing, Reinforcement Learning etc. The course includes mini project, internship and major projects.

Career Opportunities

Artificial Intelligence and Machine learning has created several roles like Data Engineer, Automation and Optimization Engineer, Natural Language Processing Scientist, Game developer, Robotics Professional, Research Scientist, Machine Learning developer, AI Consultant, Machine Learning Architect for expert professional in major organizations.


To develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning for noteworthy contributions to the society.


Galactic Medical Databank Pvt Ltd, Mysuru, Karnataka, India

Dr. Vinutha D C
Professor & Head B.E., M.Tech, Ph.D


Apply Now

    +91 821 4276200
    Course Duration (years)
    Students Placed

    Program Educational Objectives (PEO’s)

    Our graduates will

    PEO1: Sustain a successful career by providing solutions to societal needs

    PEO2: Enhance the leadership qualities and ethical values to work efficiently in multi-
    disciplinary environments

    PEO3: Explore research opportunities and embrace lifelong learning to meet the
    advancements in Technology

    Program specific outcomes (PSO)

    Our graduates will

    PSO1: Analyze, design, implement and test the Complex systems by applying suitable
    algorithms, data structures and object-oriented technology

    PSO2: Apply appreciable knowledge of IoT, Cloud Computing and Cyber Security to
    develop reliable IT solutions

    PSO3: Demonstrate the knowledge of Artificial Intelligence, Machine Learning and Data
    Engineering to design and develop intelligent systems

    Program Outcomes (PO’s) based on NBA graduate attributes

    Engineering Graduates will be able to:

    1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering, fundamentals, and an engineering specialization to the solution of complex engineering problems.
    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. 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. 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. Modern tool usage: Create, 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. 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. 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. Ethics: Apply ethical principles and commit professional ethics and responsibilities and norms of the engineering practice.
    9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
    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. 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 Multi-disciplinary environments.
    12. Lifelong 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.

    Teaching Staff

    Rohith V
    Assistant Professor B.E., M.Tech.
    Dr. Vinutha D C
    Professor & Head B.E., M.Tech, Ph.D
    Vijay C P
    Assistant Professor B.E, M.Tech.
    Varshitha D N
    Assistant Professor B.E, M.Tech.
    Latha D U
    Assistant Professor B.E, M.Tech.
    Seema H R
    Assistant Professor B.E., M.Tech.
    Sowmya G V
    Assistant Professor B.E., M.Tech.
    Assistant Professor B.E., M.Tech.
    Assistant Professor BE, M.Tech.

    Year Wise Placements

    See the list of campus selected students in the previous years below:

    Funding Proposals

    Sl. no. Project Title Funding Agency PI / CoPIs IRG in Lakh Rs. Date of Submission Status
    1 Development of Infrastructure to establish a Laboratory in Artificial Intelligence for Agriculture, Horticulture and Healthcare based applications VGST Scheme under Karnataka Fund for Infrastructure Strengthening in Science & Technology (K-FIST LI). Dr. Vinutha D C, Mr. Vijay C P 13,78,672 23/02/2022 Submitted
    2 Artificial Intelligence and Machine Learning for IoT Based Application VGST Scheme for Faculty Development Programme Dr. Vinutha D C, Mr. Vijay C P 3,38,000 23/02/2022 Submitted
    3 Funding for conducting workshop on “Data Analytics using Python” KSTA Mr. Vijay C P 20,000 30-01-2022 Sanctioned

    Paper Publications

    Sl. No. Name of Faculty Title National/International Journal UGC CARE-II Journal/SCI/Web of Science/Springer/Scopus Year of publication
    1 Dr. Vinutha D. C. Artificial Intelligence for Innovative Practices in Education System International International Journal of Research Trends in Computer Science & Information Technology (IJRTCSIT) 2020
    2 An improved feature selection approach for chronic heart disease detection International Journal of Open Access: Bulletin of Electrical Engineering and Informatics 2021
    3 Budget Constraint Scheduler for Big Data Using Hadoop MapReduce International Journal of SN Computer Science 2021
    4 Optimization of RFM for automated breast cancer detection International International Journal of Health Sciences 2022
    5 An Optimized Clustering Approach for Automated Detection of Abnormalities in MRI Brain Images International International Journal of Health Sciences, 2022 2022

    Scheme & Syllabus

    2020 Scheme

    2021 Scheme

    Model QPs

    SEE Model QPs


    Apply Now

      +91 821 427 6238
      Dr. Pooja M R
      Associate Professor & PG Coordinator
      0821 427 6238
      Course Duration (years)

      Contact us

      Get in touch with us. We are always happy to help you out

      Dr. Vinutha D. C.
      Professor & Head
      Department of CSE(Artificial Intelligence & Machine Learning)
      Vidyavardhaka College of Engineering
      P.B.No.206, Gokulam III Stage,
      Mysuru – 570002, Karnataka, INDIA
      Phone: 0821-4276326
      Fax: 0821-2510677

      Coding Competition

      Organized State Level Coding Competition – CodeHunt 2K22


      Two-day FDP on “AI in IoT and Computer Vision” sponsored by KSTA and VVCE, ISTE Chapter on 29th and 30th of July 2022

      Other Activities

      BarCamp on “Digital Poster Presentation on Recent Technologies &

      Technical Quiz” conducted on 28th July 2022 for second & fourth-semester students. 

      Webinar on “Journey of Data towards Knowledge: The Data Mining Process” conducted on 15th May 2022 for students of 4th semester CSE (AI&ML)

      Established IEEE – Computational Intelligence Society Student Chapter on 15-12-2021

      International conference on “Recent Trends in Machine Learning and Computing Systems” (RTMCS-2021) on 17th & 18th December 2021

      Mini Project Competition on Applications of Data Structures on 26/02/2022

      Technical Talks

      Talk on “Software Engineering” Conducted on 01st  July 2022 for the students of 4th semester CSE(AI&ML)

      Technical Talk on “IT Insights and Placement Awareness” conducted on 14th June 2022 for the students of 4th semester CSE(AI&ML)

      Technical Talk on “Design Thinking for Digital Transformation solutions powered by AI&ML” conducted on 02nd July 2022 for the students of 4th semester CSE(AI&ML)

      Technical Talk on Insights on Importance of Data Structure on 07/01/2022

      Technical Talk on Insights on Discrete Mathematical Structures on 09/12/2021


      One-day Workshop on “Selenium” for Automation Testing conducted for the students of 4th semester CSE(AI&ML) on 26th July 2022

      Two-day Workshop on “Service Now” conducted for the students of 4th semester CSE(AI&ML)  on 15th & 16th of July 2022

      Assembly Level Language Programming using Keil

      Programming using Java

      Python Tools for GUI

      Admissions for 2021-22 now open.
      CET Code: E071 | COMED-K Code: E147
      Apply now