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  • QUICK FACTS

  • 34

    industry collaborations

  • 16+

    lakhs in scholarships

  • 70%

    Faculty members hold PhD

  • 100%

    placement for students

 

OVERVIEW

 

The Department of Artificial Intelligence and Machine Learning (AI/ML) in the School of Computer Science and Engineering offers a B. Tech program in Computer Science and Engineering (Artificial Intelligence and Machine Learning). This program aims to provide students with a solid foundation in the principles and techniques of AI and ML, as well as hands-on experience in applying these technologies to real-world problems.

Throughout the program, students will learn about the various subfields of AI and ML, including computer vision, natural language processing, robotics, deep learning, and others. They will study algorithms and techniques for machine learning and gain practical experience through laboratory work and projects.

The program is designed to be interdisciplinary, drawing on coursework and expertise from a variety of fields, including computer science, mathematics, and statistics. In addition to the core coursework, students will have the opportunity to participate in research projects, both within the department and with other departments and institutions.

Graduates of the B.Tech program in Computer Science and Engineering (Artificial Intelligence and Machine Learning) will have a deep understanding of the principles and practices of AI and ML, and will be prepared to work in a variety of industries and roles, including data analysis, software development, and research. They will be well-equipped to tackle challenging problems and contribute to the advancement of AI and ML.      

 

 

ABOUT US

 

The Department of Artificial Intelligence and Machine Learning focused on preparing students to meet the ever-increasing technological and social challenges with traditional self-discipline, hard work, all-around personality development, and a creative approach to problem-solving.

Department is having state of the art computing facilities including a supercomputer and VMware Hypervisor. Rigorous academic practices and project-based learning helps strong record for quality placements, higher education, and entrepreneurship skills. Our strong industry partnerships with Cisco, Dell, IBM, Microsoft, Oracle, etc allow students for internships both on campus and in the industry apart from large numbers of placements in these Fortune 500 companies.

 

 

VISION

 

  • To achieve Excellence in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Education for Global Competency with Human Values.

 

MISSION

 

  • Provide innovative Academic & Research Environment to develop competitive Engineers in the field of Artificial Intelligence and Machine Learning
  • Develop Problem-solving & Project Management Skills by Student Centric Activities & Industry Collaboration
  • Nurture the Students with Social & Ethical Values

 

OBJECTIVES

 

The Department of Artificial Intelligence and Machine Learning focuses on the ddevelopment and implement of AI and ML curriculum for students at all levels. It aims to Foster a culture of innovation and critical thinking in the field of AI and ML. The department provide students with hands-on experience in designing and implementing AI and ML models, encourage interdisciplinary collaborations between AI and ML researchers and educators in various fields.

It also foster partnerships with industry leaders to bring real-world applications into the classroom and stay current with the latest advancements in AI and ML research and incorporate these into the curriculum. It facilitates students' transition into the AI and ML workforce by providing job readiness skills and career development opportunities.

 

 

SALIENT FEATURES

 

  • Well-Designed Curriculum & Course Structure: The curriculum has been designed as per the latest industry demands.
  • Choice Based Credit System (CBCS): Students have the option to choose program electives based on their interests.
  • Academic Flexibility: Students have the option to choose open electives from other domains (other than computer science) with the aim to enhance their skills and more scope of taking up case studies, projects, assignments, and vocational training including entrepreneurship.
  • Professional Memberships: Association for Computing Machinery (ACM), Computer Society of India, IEEE, and IEEE Women in Engineering (WIE).
  • Holistic Development of Students: Music, Literature, and Dramatics Clubs facilitate students to show their prowess in the cultural arena, under the able guidance of expert faculty. Technical Clubs like the Green Club, Robotics Club, IEEE Students’ chapter, IE(I) and ICEIT chapters, etc. allow the students to learn and update themselves with the latest technologies and showcase their abilities in various fields, outside their scope of the study.
  • Placements: Placements assistance (Mock Drives/Interviews), Internships Assistance, Placement classes by the expert team of Training and Placement.
  • Research Facilities with high power deep learning workstations with GPU RTX2020 configurations.
  • Internet of Things Lab with Edge devices Raspberry Pi and Arduino.

 

 

AREA OF SPECIALIZATION

 

The department offers specializations in several important and emerging areas for the AI & ML.

  • Health Care Analytics
  • Behavior Analytics

 

 

CAREER OPPORTUNITIES

 

  • Machine Learning Engineer - Design, develop and implement ML algorithms.
  • Data Engineer - Design and build scalable data processing systems and pipelines.
  • AI Software Engineer - Develop software applications that incorporate AI technologies.
  • AI DevOps Engineer - Manage the deployment, scaling, and maintenance of AI systems.
  • Robotics Engineer - Design and develop intelligent robots and robotic systems.
  • Computer Vision Engineer - Design and develop computer vision systems and applications.
  • Natural Language Processing (NLP) Engineer - Design and develop NLP systems and applications.
  • AI Solutions Architect - Design and build end-to-end AI solutions for clients.
  • As per the report published by Gartner, Artificial Intelligence & Machine Learning Domain will create 23 Lakhs Job Opening and this Industry demand will subsequently increase in the upcoming years.
  • The 4-year degree program will nurture and transform the students into a highly skilled professional to land a high paying AI-ML job in various Nationals & International Platform.

 

PROGRAMS

 

 

The Department of Artificial Intelligence and Machine Learning offers the following programs:

 

 

FACULTY

Dear Students,

It is an honor to quote about the department of Artificial Intelligence and Machine Learning School of Computer Science and Engineering.

Let's continue to work together to build a better future with AI and ML.

Director

School of Computer Science and Engineering

EVENT DATA

 

 

 Click Here for Events in Department of Artificial Intelligence and Machine Learning

FACILITIES

EVENT DATA

 

 

 Click Here for Events in Department of Artificial Intelligence and Machine Learning 

RESEARCH

 

The areas of research include - High Performance Computing, Machine Learning, Cloud Computing, VANET Security, Sentiment Analysis, Cryptography, Image Processing, Data Mining, Information Retrieval, Information Security , Internet of Things, Malware Detection, Computer Vision, Approximation Algorithms, Artificial Intelligence, Software Engineering, Databases, Big Data Analytics, Real Time Application, Mobile computing, Distributed Computing, Soft Computing, Network & Security, Advanced Computer Arch., Automata Theory, Security in Ipv6 (Mipv6).

FAQ

 

 

  • Why should I take admission in AIML program?

    With the advancement of the technologies, automation is taking place at a large scale in various industries (Industry 5.0) which may require to develop knowledge of programming languages, applied mathematics, algorithmic thought, deep learning and neural networks. AI/ML department provides the right platform to be an engineer and professional of a new world.

  • What is the difference between Core CSE (COMPUTER SCIENCE & ENGINEERING) & AI/ML?

    AI/ML is the advanced specialization of CSE in which the subjects include like Artificial Intelligence, Machine learning, Deep learning, Neural Networks but core CSE focuses on software development, testing and designing only. Moreover, starting average salary for a CSE graduate starts from INR 8-9 lakhs per annum, while that of a professional with an AI/ML freshers get a job with a starting average salary INR 9-10 lakhs per annum.

  • What are the different courses offered in AIML than Core CSE?

    To meet the demand in the IT industries, AI/ML facilitate specialisation in healthcare analytics and behavioural analytics. Healthcare analytics include courses such as healthcare informatics, wearable technologies, medical image processing, IoT in healthcare, and big data analytics. Behaviour analytics includes courses such as behaviour data analysis, natural language processing, sentiment analysis and opinion mining, graph neural networks, and cognitive computing.

  • Can I change the Branch from Core CSE to AIML and vice versa, if yes then after which semester?

    Based on the availability of the seat in second year only

  • What are the placement opportunities in AI/ML?

    • Machine Learning Engineer - Design, develop and implement ML algorithms.
    • Data Engineer - Design and build scalable data processing systems and pipelines.
    • AI Software Engineer - Develop software applications that incorporate AI technologies.
    • AI DevOps Engineer - Manage the deployment, scaling, and maintenance of AI systems.
    • Robotics Engineer - Design and develop intelligent robots and robotic systems.
    • Computer Vision Engineer - Design and develop computer vision systems and applications.
    • Natural Language Processing (NLP) Engineer - Design and develop NLP systems and applications.
    • AI Solutions Architect - Design and build end-to-end AI solutions for clients.
    • As per the report published by Gartner, Artificial Intelligence & Machine Learning Domain will create 23 Lakhs Job Opening and this Industry demand will subsequently increase in the upcoming years.
    • The 4-year degree program will nurture and transform the students into a highly skilled professional to land a high paying AI-ML job in various Nationals & International Platforms.
  • List of Companies coming for AI related Roles.

  • Is there any laboratory meant specially for AI/ML?

    There are different laboratories dedicated for AI/ML viz. Artificial Intelligence lab, Advanced Computational Lab, Machine Learning & Data Science Lab, High Resolution Imagery & Drone Data Processing lab.

  • What sort of experimental knowledge will be delivered to students?

    The student will get experimental knowledge of Data Analytics, development of applications based on AI techniques, Machine Learning techniques and its real-world implementation. Apart from above a student may get practical knowledge in the different domain like sentiment analysis, natural language processing, designing chatbots, digital twin modelling etc.

  • Is there a strong coding culture in the area, and are there any clubs or organizations focused on competitive programming, web development, AI, and ML?

    MUJ coding culture is very strong. You will be given lots of opportunities to learn and to compete as there are atleast 4-5 hackathons being conducted every semester be it by clubs or by any department. There are no specific clubs that focus on these areas but multiple clubs have branches focusing on them. Students participate in goggle summer of code, SIH , hackathons by IEEE student club society and AcM chapter

     

    Yes, there is strong coding culture in the area. At the University level and school level there are multiple clubs and community, and students are performing well. We are also working in the formation of community for specific AIML department. There are many students from AIML who have already wins the many hackathons and other competitions. As the same time many students are working in the real time project that are related to the AIML and web development as part of curriculum and project-based learning. For research Phi phenomenon club, data science club, Google student developer club

  • If we are interested in conducting research or working on projects such as autonomous drones, are there sufficient resources and faculty available to assist us?

    Our campus offers sufficient resources and faculty for assisting on any type of project be it autonomous drones we also have an incubation centre who can guide and help you grow if u want to take your project to the next level. There is one club for drone developer only. and one club for Mars rover challenge too.

     

    The resources available at the university level are adequate. There are many faculties who are working in this area. We have also proposed a budget for establishing a drone lab and data processing lab at the department level.