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M.Tech in Artificial Intelligence (AI)

Artificial Intelligence (AI) is playing a vital role in our daily lives such as obtaining   updates about news, finding a restaurant, driving to office and recommendations based on rating on social media are all using AI. As the usage of AI is getting increased, there is a huge demand for researchers and scientists who can understand AI and develop AI technologies. M.Tech in Artificial Intelligence offers students an opportunity to obtain the knowledge about both foundational and experimental components of AI and Machine Learning. Apart from the courses which offer specialization in Artificial Intelligence, the students are also provided with an option to explore some applied areas like natural language processing, computer vision, robotics and software analysis.The students who complete this program will be able to get industry careers which includes innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies and research careers in AI, ML, and, in general, Computer Science areas. Artificial Intelligence, sometimes known as Machine Intelligence, is the intelligence exhibited by machines, as compared to the natural intelligence, which is exhibited by humans. Artificial Intelligence emphases mainly on building of intelligent computational processes for the benefit of both creating artificial machines/devices and enhancing the understanding of human intelligence.

Course Curriculum

Course Curriculum

Program Educational Objectives (PEOs)

Program Educational Objectives (PEOs)

After few years of graduation, the graduates of M. Tech (Artificial Intelligence) will be able to:

  • PEO-1: Demonstrate skills as an Artificial Intelligence professional and perform with Ethical and Moral values.
  • PEO-2: Engage in active research for Professional development in the field of Artificial Intelligence with an attribute of lifelong learning
  • PEO-3: Carryout consultancy and extension activity either as a member of team or as an individual.


Programme Outcomes (POs)

Program Outcomes (POs)

On successful completion of the program, the graduates of M. Tech (Artificial Intelligence) program will be able to:

  • PO-1: Demonstrate in-depth knowledge of specific discipline or professional area, including wider and global perspective, with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge, and integration of the same for enhancement of knowledge. 
  • PO-2: Analyze complex engineering problems critically, apply independent judgment for synthesizing information to make intellectual and/or creative advances for conducting research in a wider theoretical, practical and policy context. 
  • PO-3: Think laterally and originally, conceptualize and solve engineering problems, evaluate a wide range of potential solutions for those problems and arrive at feasible, optimal solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise. 
  • PO-4: Extract information pertinent to unfamiliar problems through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyze and interpret data, demonstrate higher order skill and view things in a broader perspective, contribute individually/in group(s) to the development of scientific/technological knowledge in one or more domains of engineering. 
  • PO-5: Create, select, learn 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. 
  • PO-6: Possess knowledge and understanding of group dynamics, recognize opportunities and contribute positively to collaborative-multidisciplinary scientific research, demonstrate a capacity for self-management and teamwork, decision-making based on open-mindedness, objectivity and rational analysis in order to achieve common goals and further the learning of themselves as well as others. 
  • PO-7: Demonstrate knowledge and understanding of engineering and management principles and apply the same to one’s own work, as a member and leader in a team, manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economical and financial factors. 
  • PO-8: Communicate with the engineering community, and with society at large, regarding complex engineering activities confidently and effectively, such as, being able to comprehend and write effective reports and design documentation by adhering to appropriate standards, make effective presentations, and give and receive clear instructions. 
  • PO-9: Recognize the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.
  • PO-10: Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society. 
  • PO-11: Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback (SELF learning)

Program Specific Outcomes(PSOs)

On successful completion of the program, the graduates of M. Tech (Artificial Intelligence) program will be able to:

  • PSO-1: Isolate and solve complex problems in the domains of Artificial Intelligence using latest hardware and software tools and technologies, along with analytical and managerial skills to arrive at cost effective and optimum solutions either independently or as a team
  • PSO-2: Implant the capacity to apply the concepts of Artificial Intelligence, Deep Learning & Reinforcement Learning, Game Theory, Neural Networks, Machine learning, Fuzzy Logic and Probabilistic Graphs etc. in the design, development of software
  • PSO-3: Review scholarly work by referring journals, define a new problem, design, model, analyze and evaluate the solution and report as a dissertation in the area of Artificial Intelligence.


Career Opportunities

Career Opportunities
  • Public and private sectors like agencies of Artificial Intelligence, Robotics companies Coordinating Committee for Artificial Intelligence and other associated fields hire postgraduate candidates who successfully complete M. Tech in AI.
  • Job Role: Computer Scientist, Robotic Scientist, Game Programmer, Software Engineer  or as Developer for AI machines which are used in game playing, speech recognition, language detection, computer vision, expert systems and robotics.
  • May even go for pursuing higher studies in AI or go for doctorate degree.

Business Analyst

Business Intelligence Manager

Database administrator

Data_Analytics Manager

Eligibility Criteria

Eligibility Criteria
  • B E / B Tech in ECE / CSE / ISE / TE / MCA / M Sc in Computer Science or Mathematics or Information Science or Information Technology with a minimum of 50% (45% in case of SC/ST) marks in aggregate of any recognized University / Institution or AMIE or any other qualification recognized as equivalent there to.

Course Duration: 4 Semesters (2 Years)


How to Apply?


Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore - 560064, Karnataka

+91-90211 90211 080-46966966

Application Fee

M.Tech in Artificial Intelligence (AI)

Indian / SAARC Nationals 1000
NRI Fee 2000
Foreign Nationals 50