Computer Science Engineering (AI & ML)


After graduating in engineering the students can avail following opportunities depending upon their stream and specialization. Technology is the biggest enabler in the current scenario. At Himalayan Institute of Engineering & Technology, we aim to nurture technically adept, socially responsible engineers who will evolve into innovators and entrepreneurs capable of delivering outstanding solutions. Our innovative and cutting-edge B.Tech programs have been specially designed for all such aspiring minds who wish to bring an exceptional difference in the world.


To be the front runner in Computer Science and Engineering education and to nurture the students to become globally competent professionals with expertise in software development, problem solving and aptitude for research and ethical values.


  • To impart an education rooted in moral values as well as the latest knowledge and analytical skills.
  • To develop professionals with business competencies so that they can serve the society, industry and face global challenges.
  • Taking an innovative approach to render quality services through advanced methods of training, research and strong institute – industry interface.


The placements, both for final jobs and summer internships, are important elements of institute’s activities. We have a well laid-out process of meeting students’ career aspirations and corporate expectations. Our students are placed in companies in India and abroad with average package of Rs. 4-5 Lakh, highest package of over Rs. 20 Lakh, each year, along with a stellar sustained record of 100% placements.


For our students to become truly career-ready, it is crucial that they gain first-hand experience through industry-affiliated talks, conferences and seminars. Through established relationships and collaborations with multiple national and international powerhouses, we give our students an insight into what it means to be a well-rounded and adaptable professional who is ever-ready to face the challenges brought on by the society and evolving technology. We intend to give our students clarity on career paths and help them find a company that aligns with their aptitude, interests and career goals.



  • HPTU

  • NIRF

Facilities By HIET

Artificial Intelligence & Machine Learning Lab
Data Science Lab
Web and APP Development Lab

BTech in Computer Science and Engineering (AI & ML)

B.Tech in CSE a specialization in AI-ML is a four years full-time undergraduate degree program. Artificial intelligence and machine learning are part of computer science that is correlated with each other. These two technologies are the most trending technologies used for creating intelligent systems. This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of artificial intelligence and machine learning. This course discusses AI and ML methods in different fields, including neural networks, signal processing, control, and data mining, to present a unified treatment of machine learning problems and solutions.


  • PO1 - Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2 - Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3 - 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.
  • PO4 - 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.
  • PO5 - Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  • PO6 - 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.
  • PO7 - 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.
  • PO8 - Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9 - Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10 - 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.
  • PO11 - 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.
  • PO12 - Life-long learning: 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.


  • PSO1 - Build skills to develop software applications in specialized areas of Computer Science and Engineering such as Artificial Intelligence, Machine Learning, Data Science, Web Development, Gaming, Augmented Reality / Virtual Reality (AR/VR).
  • PSO2 - Focus on exploring supervised, unsupervised and reinforcement learning and apply them to a range of AI problems.
  • PSO3 – Make use of AI and ML techniques for industrial applications in the areas of Autonomous Systems, IOT, Cloud Computing, Robotics, Natural Language Processing and emerging areas.

Program Educational Objectives (PEOs)

  • PEO1 - Students will establish themselves as effective professionals by solving real problems through the use of computer science knowledge and with attention to team work, effective communication, critical thinking and problem-solving skills.
  • PEO2 - Students will develop professional skills that prepare them for immediate employment and for life-long learning in advanced areas of computer science and related fields.
  • PEO3 -Students will demonstrate their ability to adapt to a rapidly changing environment by having learned and applied new skills and new technologies.
  • PEO4 - Students will be provided with an educational foundation that prepares them for excellence, leadership roles along diverse career paths with encouragement to professional ethics and active participation needed for a successful career.


For 4 years course (After10+2)

Passed 10+2 examination with Physics, Mathematics and Chemistry/ Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship obtaining at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.


Passed min. 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.

For 3 years course (After Diploma, LEET entry )

Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology.


Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.


Passed D.Voc. Stream in the same or allied sector. (Students will have to do bridge courses such as Mathematics, Physics, Engineering drawing, etc. as applicable)


Ready for what's next