Machine Intelligence

Master of Science in Computer Science with  specialization in Machine Intelligence course offered by the Indian Institute of Information Technology and Management-Kerala, aims at offering a high standard curriculum in allied disciplines of Computer Science. The programme focuses on a broad grasp of foundations in Computer Science, deep understanding of the area of specialization, an innovative ability to solve new problems, and a capacity to learn continually and interact with trans-disciplinary groups. The technology enhanced e-learning methodologies with web based course management system and on-line learning system enriches the programme, allow to broaden their horizons.

The duration of the programme is 2 years and the courses are carefully designed to attain technical aspects that enable the students to grow into competent Machine Intelligence professionals. There are 11 core courses, 4 electives and five lab courses. The students are required to do a minor project of 2 credits each during 2nd and 3rd semester. The students are also required to take one elective course during second  semester and three elective courses during the third semester of 3 credits. The 4th semester is for project/internship of 18 credits. Students are required to undergo an industry or research oriented project in any leading IT or R &D organizations. The total requirement  for the programme is  72   credits.

Eligibility

Entry-level requirement is a minimum score of 60 percentage marks OR CPI/CGPA of 6.5  or above in 10 points in the  Bachelor’s degree in any branch  of Engineering / Technology / Science  with  Mathematics as  a Subject of study

Number of Seats

The number of seats for this program is 30.

Courses

The student is required to earn 33 credits from the following 11 core courses:

Elective courses

The elective courses are offered in the 2nd and the 3rd semesters. There will be only one elective in the second semester and three electives in the third semester.

Core courses

  • Computer Architecture and Organization
  • Problem Solving and Programming in C
  • Data Structure and Algorithm
  • Machine Learning
  • Mathematical Foundations for MI
  • Operating system
  • Computer Networking
  • Database Management System
  • Object Oriented Programming
  • Soft Computing
  • Internet Technologies

Electives for semester II

  • Data Analytics
  • Digital Image Processing
  • Artificial Intelligence

Electives for semester III

  • Language Technologies & Information Retrieval
  • Advanced Data Analytics
  • Pattern Recognition
  • Principles of Management
  • AI & Knowledge representation
  • Object Oriented Analysis and Design
  • Big Data Technologies
  • Medical Imaging
  • Embedded Systems