Computer Science (Artificial Intelligence & Machine Learning)

B.Tech. in Computer Science (Artificial Intelligence & Machine Learning) (Intake 60)

About the Department

B.Tech. AI & ML, the most emerging branch of the Computer Technology, concepts is changing the computation ability to achieve best predictive results in almost all the fields of business and research. This covers predictive analytics techniques, reinforcement leaning, neural network applications and deep learning etc which may bring tremendous value to an organization, enabling companies to take action with confidence. E- Governance is not possible without the AI & ML.

Most of the correct predictions and estimations are possible only because of the AI & ML in which the data is more important than the procedure. Course will equip students with basic mathematical and statistical techniques commonly used in pattern recognition in computer science and provides information about Bayes classification, nearest neighbor rule, neural networks and support vector machines. This course plays a pivot role in understanding problems characteristics for training the machines to produce the optimum solutions.

This programme produces graduates with a broad understanding of the Computer Science and Engineering discipline giving them a competitive edge through robust curriculum and hands-on learning in Artificial Intelligence and Machine Learning to develop competence that caters to the requirements of the industry. It is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics, and visualization technologies. This programme discusses AI methods based in different fields, including natural language processing, text mining, robotics, neural networks, and data mining in order to present a unified treatment of machine learning problems and solutions.


To impart Quality education in Computer Science and Engineering to serve the changing needs of industry and society.


  • To strengthen academic infrastructure leading to quality professionals in the field of Computer Science and Engineering.
  • To impart domain knowledge to the students through a well-designed curriculum based on the inputs from stakeholders to serve the needs of industry and society.
  • To make the students corporate ready with the right spirit and interpersonal skills.

Program Educational Objectives (PEOs)

The graduates shall be able to:

  1. Excel in their career by acquiring knowledge in the field of Computer Science & Engineering with the usage of modern tools and emerging technologies.
  2. Demonstrate and analyze real life problems of the society and produce innovative solutions.
  3. Exhibit amicable communication skills and team work in the industry and research organization through professional development and lifelong learning.

Program Specific Outcomes (PSOs)

  1. Perform system and application programming using computer system concepts, concepts of Data Structures, algorithm development, problem solving and optimizing techniques.
  2. Apply software development and project management methodologies using concepts of computer systems, communication and emerging technologies.


  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex computer engineering problems.
  • Problem analysis:Identify, formulate, review research literature, and analyze complex computer engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design/development of solutions:Design solutions for complex computer engineering problems and design system components or processes that meet the specific needs with appropriate considerations for the public health and safety, and the cultural, societal, and environmental considerations.
  • 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 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 relevant to the professional engineering practices.
  • 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 practices.
  • Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communications: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:Recognize the need for, and have the preparation and ability to engage in independent and life learning in the broadest context of technological change.

Value Added Courses


The main aim of the value-added course is to reduce the gap between academics and industry and train the students in current technologies.

Available Courses

We are providing the following Value Added Courses for the benefit of Students.

  1. Application of AI/Machine Learning with Python
  2. Java Programming: A Practical Approach
  3. Advanced Python Programming Concepts
  4. Advanced Programming Concepts and Logic Building
  5. Live Project Implementation
  6. Big Data Analytics - A Practical Approach


One of the core Strength of department lies on dedicated computer center and labs of the department. The prime focus of computer center & labs is to impart knowledge of Computer Science and related fields by applying technical skills in the form of real life applications. All labs are well equipped with modern facilities with WIFI. Department undertakes industry and research oriented projects to give hands-on experience and exposure to the Students.

  1. Python & Machine Learning Lab
  2. C Programming Lab
  3. Database Management System Lab
  4. Computer Network Lab
  5. Operating System Lab
  6. Web Technology Lab
  7. Project Lab
  8. Computer Centre
  9. Software Engineering Lab