MTech in Artificial Intelligence

MTech in Artificial Intelligence

M Tech in AI ·
2 years
  • Fee:NPR 395,000

Master of Technology in Artificial Intelligence (MTech in AI) program of Kathmandu University is a 2 years (4 semesters) full-time study program that will run in Pachkhal, KU. 

Masters in Artificial Intelligence program of Kathmandu University aims to convey the body of skills, information, and practices connected with advanced computation, data science, and artificial intelligence (AI), which will help to open up new opportunities both locally and globally. 

In particular, Masters in Artificial Intelligence program covers neural networks, fuzzy systems, and the use of evolutionary computation to create machines. The curriculum of this program mainly includes machine learning, neural network, big data analytics, information retrieval, fuzzy system, and evolutionary computation.

Masters in Artificial Intelligence will provide opportunities for experimental testing of what you have learned in order to tackle practical life issues related to various areas such as trade, economics, security, industrial control, and engineering.

Salient Features

This program will help to fulfill the demand of graduates in Artificial Intelligence in the global and local markets. This program will also assist the digital Nepal framework developed by the Government of Nepal. 

The total tuition fees for the program of two years is NRs. 3,95,000.


Candidates with score of at least 50% in aggregate or CGPA 2.0 out of 4.0 grading system from any recognized institution, and 

  • Undergraduate in Engineering / Technology / Architecture / Computer Application (with honors), or
  • Total of at least 16 years of education with science background, or
  • M.Sc. in Physics, Chemistry, Mathematics, Statistics or any other related field.

Admission Criteria

The admission is open for Nepalese as well as foreign students. 

Admission Test/ Interview: A written admission test of 1.5 hours would be conducted focusing on core computer subjects. The test would comprise both objective and subjective questions and would weigh 70% of marks. Only those securing a minimum of 40 marks in the written test would be selected for the interview. Successful candidates passing both the written test and the interview would be selected for admission on the basis of merit list. 

Fees and Payment Information: Total course fee for the two year (4 semesters) study period is NRs 395,000/- (ordinary Nepalese student fee, which excludes NRs 10,000/- caution money and NRs 1000/- per year medical insurance) for ordinary Nepalese students. The fee for sponsored candidate is 1.5 times the ordinary fee.

Fee for SAARC country international candidate is 1.5 times the regular fee and for other country is 2.0 times the regular fee. Extension of period of study may subject to requirement of payment of additional fees for the extended study period.

Fee to be paid at the time of admission for ordinary Nepalese student is NRs. 136,000/- that includes first installment of first semester fee. Rest of the fee shall be paid in two installments per semester. 

Admission Test Syllabus for ME Computer Engineering/ MTech IT/ MTech in AI

  1. Programming Basic structured programming concepts (Data Types, Operators), Object Oriented Programming Concepts (Objects, Class, Inheritance, Polymorphism)
  2. Data Structure and Algorithms Stack, Queue, Lists, Hash table, Sorting and Searching algorithms 
  3. Database Management Systems Relational Database Concepts, ER Diagram, Normalization, Transaction 
  4. Software Engineering Software Process Models, Planning & Scheduling, Testing 
  5. Artificial Intelligence Problem Solving through Search, Logics, Current Trends in AI  
  6. Computer Networks Basics of Computer Networks, TCP/IP, Physical Layer, Network Layer, Data Link Layer, Concepts of IP Addressing

Note: All six subjects carry equal weightage.

Curricular Structure

Artificial Intelligence Cluster Core (AICC)

Number Subject Name Credit
500 Artificial Intelligence 2+1
501 Machine Learning 2+1
502 Data Analytics 2+1
503 Computational Intelligence 2+1
504 Deep Neural Networks 2+1
505 Intelligent System 3

Artificial Intelligence Application Cluster (AIAC)

Number Subject Name Credit
530 Big Data Analytics(Bio, Health, WSN, Social Network, 3
531 Deep Learning 2+1
532 Internet of Things (Internet of Vehicle, Internet of Health, Internet of people) 3
533 Evolutionary Computation 2+1
534 Computer Vision 2+1
535 Image Processing 2_1
536 Natural Image Processing 2+1
537 Recommendation System 2+1
538 Intelligent Information Retrieval 2+1
539 Knowledge Representation and Reasoning 3
550 Expert System Design 2+1
551 Robotic Design 2+1
552 Human Computer Interaction 3
553 Software Design 2+1
554 Problem Solving Agents 3
555 Predictive Modeling 2+1
556 Quantum Computiing 2+1

Artificial Intelligence Mathematical Analysis (AIMA)

Number Subject Name Credit
500 Computational Statistics and Probability 3
501 Statistical Methods for AI applications 3
502 Probabilistic Graphical Models 3
503 Fuzzy Systems 3
504 Discrete Multivariate Modeling 3
505 Computational Numerical Methods 3
506 Optimization Techniques 3

Artificial Intelligence Research Work (AIRW)

Number Subject Name Credit
530 Research Techniques for Computer Science 3
531 Topics in Data Science 3
532 AI and Society 3
533 Topics in AI 3
534 Seminar 3
535 Thesis 15

Artificial Intelligence Guided Course ( AIGC)

Number Subject Name Credit
651 Guided Course 3