M.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

Take student experience to the next level

Artificial intelligence (AI) is the simulations of human intelligence in robots that have been trained to think and act like humans. The phrase can also refer to any machine that demonstrates human-like characteristics like learning and problem-solving. Artificial intelligence’s finest feature is its ability to reason and take actions that have the best possibility of reaching a certain goal. Machine learning is a subset of artificial intelligence that relates to the concept of computer programs learning from and adapting to new data without the assistance of humans. Deep learning algorithms allow for this autonomous learning by absorbing large volumes of unstructured data, including text, photos, and video. After two decades of Google, social media, and widespread smartphone use, Artificial Intelligence (AI) will be the next Big Thing in technology transformation. Artificial intelligence has found a particular place in people’s homes and daily lives as Smart Home Assistants and smart cities. Artificial intelligence and machine learning are becoming increasingly important in fields such as health care, agriculture, manufacturing, and defense. Amazon Echo and Google Home are popular smart home devices that allow you to perform a range of tasks simply by speaking to them. 

Facilities

The institution maintains a computerized central library spanning 720 sq m, which is accessible to students. The library caters to the needs of both students and faculties, with a collection of over 15,000 books. Additionally, it subscribes to 80 specialized national journals and reputed newspapers for their benefit. The central library serves as a valuable resource for students to expand their knowledge and expertise.

Library

The department includes Smart Classrooms, equipped with audio-visual facilities that enable instructors to deliver engaging lectures and presentations. Smart Classrooms are part of a digital initiative that is rapidly transforming the way teachers teach and students learn.

Smart Classrooms

• 24x7 Optical fibre communication which provides 1Gbps Internet Connectivity (both wired and wi-fi).
• 256 Nos. of Lenovo Think Centre Desktop computers with Intel i7-12700F, 12^th Gen. processors 3.60Ghz, 1 TB HDD, 16 GB DDR4 RAM, 22’ Monitor.
• 36 Nos. of NVIDIA RTX 3060 GPU powered Workstations.
  

Hardware for Computing

• Microsoft Campus Agreement for 200 User Licenses.
• Microsoft Windows Operating System 11 GGS.
• Ubuntu OS.
  

Software for Computing

Eligibility for B.Tech Programme

Eligibility for M.Tech Programs (Duration: 2 Years)

Engineering Background: BE/BTech any Stream with 50% marks.

AMIE is accepted.

Non – Engineering Background: MCA/MSc in Maths/Statistics/Science streams /IT with 50% marks.

In cases of non-Engineering candidates, PG marks will be considered for eligibility criteria & not the UG marks.

For All the courses

MBA/M. Com/MA are not eligible

Evening College & Distance education degrees are not accepted.

All the degrees obtained must be through Full-Time mode.

Degrees from UGC approved universities only will be accepted.

Program Educational Objectives (PEO)