Artificial Intelligence and Machine Learning Engineering

About the Department

The Department of Artificial Intelligence and Machine Learning Engineering is an integral part of M.S. Engineering College, Bengaluru aims at bringing out the technical and inherent talents of the young and budding Engineers. The Department was established in the academic year 2020 with intake of 30.Current  intake of BE is 30. We are offering a four year BE Artificial Intelligence and Machine Learning Program affiliated with Visvesvaraya Technological University, Belagavi and approved by AICTE, New Delhi.

Department of Artificial Intelligence and Machine Learning Engineering takes special efforts to impart learning ability for the students. The students are focused with the use of conceptual understanding of core domain area in Computing as well as enhanced programming skills disseminating their analytical abilities. The faculties of our department are well qualified and have rich knowledge in their subjects. In order to update their knowledge The staff members  are deputed to undergo training in the latest topics.

Department has good interactions and MOUs with leading technology domain Industries. Department is committed to encourage students/researchers to carry out innovative research in the field of Artificial Intelligence and Machine Learning Engineering , keeping excellence in focus and deliver quality services to match the needs of the technical education system, industry and society.

Glimpse of NCETAR 2K19


To impart the quality education among the students and nurture their ability to become the successful professionals to meet the challenges of industry and society.

  • To provide the knowledge in the profession and self learning, achieve the excellence in Artificial Intelligence and Machine Learning Engineering
  • To build a creativity, team-spirit and entrepreneurial leadership in Artificial Intelligence and Machine Learning Engineering field
  • To develop skilled professional, strong ethical values and responsible team leadership, work towards the progress of the society
Program Educational Objectives (PEOs) 
  • Graduates will achieve successful professional career in IT industry with the approach of lifelong learning.
  • Graduates will possess technical competency to design develop and solve engineering problems related to IT industry.
  • Graduates will attain the qualities of professional leadership to deliver effectively in multidisciplinary global working environment with professionalism and ethical values
Program Outcomes (POs)
  • Engineering Knowledge Apply the knowledge of mathematics, science, engineering Fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • 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.
  • 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.
  • Conduct Investigations of Complex Problems: Use research-based knowledge and research design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern Tool Usage: Create, select, 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.
  • 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.
  • 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.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • 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 multidisciplinary environments.
  • Life-long learning To recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes (PSOs)
  • Problem solving Skill:   An ability to analyze, design and develop the software following the software engineering standards and professional practices to deliver a quality product.
  • Professional Skill :   An ability to exhibit the competency to solve complex software  problems in the context of changing technologies with the ability to work  and communicate effectively with professionals in  industries.
Quality Policy

To develop students towards industry requirements using current technology, innovative practices, skills and tools necessary for computing.

HOD's Message

 It is a pleasure to head the department of CSE. The department offers BE (CSE) and M-Tech(CSE). The aim of the department is to provide high quality education along with training the students with all the new advancements in the computers field. The department places emphasis on all the important aspects of computers such as High speed networks, Machine Learning, Natural Language Processing, Web Technology, mobile networks , Algorithm Design, Operational research, Advance database systems, Theory of computation , Computer Graphics and many more. The department also takes initiative to improve the soft skills, analytical capabilities and verbal communication of the students so that they can face the competition in the corporate world confidently.

The scope of computer science is endless. The students of the computer science and engineering are highly demanded by the recruiters of the top companies. The department provides platform for the students to achieve their career goals. 


Dr. Anand Kumar

Professor & Head. (CSE)

Artificial Intelligence and Machine Learning Engineering Department

M S Engineering College


Contact No. +91 8310473125

Why Artificial Intelligence and Machine Learning Engineering

The department is helping the students in getting exposure to cutting edge technologies by means of organizing industrial visits and technical talks from domain experts of reputed research organizations. The students are encouraged to involve themselves in creative, technical and research activities. Numerous companies from India employ huge number of computer professionals in their Indian and overseas offices. Therefore, students who complete this program successfully have industrial career opportunities in the technical areas as: Software Engineer, Systems Engineer, Software Developer, Java Developer, Business Analyst, NET Developer, Web Developer, Systems Administrator, Project Manager, Network Engineer and so on. As an alternative career path, the successful student can continue his/her postgraduate education in engineering or management. He / She may also become an entrepreneur.



  •  Commitment to Quality
  •  Improving students performance
  •  Increased cooperation within the discipline and with other disciplines
  •  Adequate Lab facility
  •  Certification course from INFOSYS campus connect program since three years (MoU’s)


  • Funding mostly external, fragmented and multi-source, making the conducting of basic research more difficult.
  •  Much publishing at conferences, computer and information sciences therefore not completely commensurable with other disciplines.
  • Difficulties in securing funding for maintenance and acquisition of medium-priced infrastructures as well as for programming laboratories.


  • Clearer career opportunities for young researchers through the tenure-track system.
  • Industry institute interactive learning to prepare industry ready candidates.
  • To promote the active engagement of the learner as experimental and experiential learning
  • Enhancement of research and entrepreneur activity in the field of engineering and technology


  • Continuous change in technology that challenges the employability of the students.
  • Information technology unable to attract new talents to the field challenges posed by the ongoing generational change.


  •  MOU to establish research labs with industry
  • To establish centre for excellence
  • To start research development projects

Programe Offered

Notice (8): Undefined index: ProgrameOffered [APP/View/Departments/view.ctp, line 51]