First Year MCA classes will commence on 2nd February 2022 in OFFLINE mode. Students are advised to follow the Covid-19 Protocols strictly. Click here for the Tentative Time Table

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  • PSO

    Program Specific Outcomes

    1. Ability to apply knowledge of Mathematics, computer science and management into practice.
    2. Ability to solve complex computing problems through problem analysis using fundamental principles of mathematics and computer science.
    3. Ability to design, develop components or processes by evaluating socially relevant issues and provide solutions
    4. Ability to apply analytics through research methodology for complex computing problems and provide valid conclusions
    5. Ability to identify and utilize with agility modern computing tools and techniques
    6. Ability to operate in a professional, ethical manner in multi-disciplinary environments
    7. Ability to sustain self-improvement through independent and life long learning
    8. Ability to learn skills of project management through effective design and documentation.
    9. Ability to communicate effectively through technical presentations and reports
    10. Ability to understand the impact of technology on social issues
    11. Ability to adapt collaborative thinking through team work and leadership
    12. Ability to identify entrepreneurial opportunities and succeed through innovative ideas for the progress of the individual/society.
  • PEO

    Program Education Objectives

    • PEO 1: The graduates will be the solution providers for prominent application domains like banking, financial and healthcare systems.
    • PEO 2: Graduates will have the capability to pursue research leading to a doctoral degree.
    • PEO 3:To equip graduates with integrity and ethical values and be responsible professionals.
    • PEO 4: The graduates will have the ability to build and lead teams.


Nurture Continuous Learning through research and innovations in the field of Computer Science, Technology and Applications, to build competent professionals.


  • Create a learning environment to motivate students to build strong technology skills.
  • Promote value based ethical practices in all facets of learning
  • Instill Entrepreneurial collaborative thinking through structured interventions and industry participation.

The department Vision - Mission statements are formulated in accordance with the goals and objectives of the department keeping Institutional goals and objectives under consideration.

From the HOD's Desk:

The Department of MCA believes in creating a “want to learn” culture through state of the art infrastructure. We offer the most effective teaching learning methodologies through class room and practical exercises to cultivate an inquisitive mind-set among students. We aim to be the first choice in the state/country among aspiring computer science graduates. The skills and education imparted enables students to utilize new technologies and prepare them for key technology application and decision-making. The learning experience is wholesome, tailored to suit the needs of the industry and individual career development.

Dr. Samitha Khaiyum
Associate Professor & Head of the Department.



Department of MCA, DSCE has organized a workshop on 18th February 2022, 09:30 am at CD Sagar Auditorium. The resource person Mr. PG Bhat, President at Pluma Knowledge Solutions (P) Ltd., Bangalore delivered a very informative session on ‘DATA SCIENCE – PROBLEM SOLVING and IDEATION’.

Five Day Hands-on Faculty Development Program on Machine Learning and Artificial Intelligence

Department of MCA organized a Five Day Hands-on Faculty Development program on Machine Learning and Artificial Intelligence from 14th to 18th July 2020. Mr. PG Bhat from Pluma Knowledge Solutions Pvt. Ltd, Bangalore was our guest speaker and have given vast information on each topic with the details of its practical implementation.

Industrial visit to Infosys- Mysore campus

The students of III semester MCA, HoD and two faculty members visited the Infosys – Centre for Excellence, Mysore on 27th September 2019 as a part of the study tour.

Five Day FDP on Data Analytics using Machine Learning / AI and Block chain

We are pleased to have successfully conducted a -Five Day FDP on Data Analytics using Machine Learning / AI and Block chain between 05-08-2019 to 09-082019. The Faculty Development Program (FDP) was jointly organized by departments MCA, ISE and CSE.

Technical Training Session

Department of MCA and Training and Placement division, DSCE jointly organizing the Technical Training session for IV semester students of MCA,DSCE during 1st July 2019 to 15th July 2019.

FDP on Cloud and Big Data Analytics

Five Day FDP on Cloud and Big Data Analytics has been conducted between 16-01-2019 to 21-01-2019. The Faculty Development Program (FDP) was jointly organized by MCA, ISE and CSE.

Engineering Conclave

“Engineering Conclave” was held on 9th February 2019 at CIL, Dayananda Sagar College of Engineering, Bangalore.



    An Autonomous Institute Affiliated to VTU, Approved by AICTE & UGC


    Accredited by NBA & NAAC with 'A' grade.


    CET Code: E007 | Comed-K Code: E040

    PGCET - MBA: B158 | M.Tech: T822

Contact Info


    Dayananda Sagar College of Engineering, Shavige Malleshwara Hills, Kumarswamy Layout, Bangalore - 560 111

    9741882324, 9741889394, 9741214448+91-80-42161750 / 1

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