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Master of Science in Computer Science with specialization in Machine Intelligence

Eligibility
Entry-level requirement is a Bachelor's Degree in any branch of Engineering or Technology / Science with Mathematics as a subject of study, with a minimum score of 60% or CGPA of 6.5 in 10 point scale in the qualifying examination.

Number of seats
The number of seats for the program is 30.

Selection Criteria
Students are selected through an All India entrance examination and an interview under the supervision of CUSAT. GATE/NET score holders with valid score are exempted from the test. Rank holders of CAT conducted by CUSAT are also exempted from the Institute conducted test. Reservation of seats for SC/ST, OBC etc. is applicable as per CUSAT rules. The final selection of the candidates is done through an interview from the short listed candidates of written test.

Course Description
Master of Science in Computer Science with specialization in Machine Intelligence will be a restructured 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.

Course objectives

- To impart theoretical knowledge related to Computer Science.
- To impart theoretical & practical knowledge in the specialized areas of Machine Intelligence .
- To cater the needs of government, industry and scientific organizations in the Computer Science and Machine Intelligence related areas.
- Develops professionals and leaders of high caliber imbued with values of entrepreneurship, ethics and social responsibility.
- To motivate for research in Computer Science with specific emphasis on Machine Intelligence.
- To train computer scientists who can work on real life challenging problems.

Course Fees
The course fee for Masters programme is Rs.1,20,000/-. The fee is payable in four equal installments of Rs. 30,000/-.

Course Duration and Credits
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.

Core Courses
The student should have earned 33 credits from the following 11 core courses:

- CMI 2101 Computer Architecture and Organization
- CMI 2102 Problem Solving and Programming in C
- CMI 2103 Data Structure and Algorithm
- CMI 2104 Machine Learning
- CMI 2105 Mathematics for Machine Learning
- CMI 2201 Operating system
- CMI 2202 Computer Networking
- CMI 2203 Database Management System
- CMI 2204 Object Oriented Analysis and Design
- CMI 2301 Soft Computing
- CMI 2302 Internet Technologies

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.The student is required to earn at least 12 credits in 12 Elective courses from the following list of courses:

Electives for semester II:

- CMI 2208 Data Analytics
- CMI 2209 Digital Image Processing
- CMI 2210 Artificial Intelligence

Electives for semester III:

- CMI 2305 Language Technologies & Information Retrieval
- CMI 2306 Advanced Data Analytics
- CMI 2307 Pattern Recognition
- CMI 2308 Principles of Management
- CMI 2309 Big Data Technologies
- CMI 2310 AI & Knowledge representation
- CMI 2311 Medical Imaging
- CMI 2312 Object Oriented Analysis and Design
- CMI 2313 Embedded Systems

TENTATIVE SEMESTER-WISE BREAKUP OF COURSES FOR 2 YEARS

Semester I

No Course Code Course Title Credits Lecture Lab IE UE Total
1 CMI 2101 Computer Architecture and Organization 3 3 0 40 60 100
2 CMI 2102 Problem Solving and Programming in C 3 3 0 40 60 100
3 CMI 2103 Data Structure and Algorithm 3 3 0 40 60 100
4 CMI 2104 Machine Learning 3 3 0 40 60 100
5 CMI 2105 Mathematics for Machine Learning 3 3 0 40 60 100
6 CMI 2016 MI Lab I 1 0 0 50
5 CMI 2017 Programming Lab I 1 0 0 50


Total for Semester I 17 600

Semester II

No Course Code Course Title Credits Lecture Lab IE UE Total
1 CMI 2201 Operating system 3 3 0 40 60 100
2 CMI 2202 Computer Networking 3 3 0 40 60 100
3 CMI 2203 Database Management System 3 2 2 40 60 100
4 CMI 2204 Object Oriented Programming 3 2 2 40 60 100
5 CMI 2205 MI Lab II 1 0 2 50
6 CMI 2206 Programming Lab II 1 0 2 50
7 CMI 2207 Mini Project I 2 50
8 Elective I 3 3 0 40 60 100


Total for Semester II 19 650

Semester III

No Course Code Course Title Credits Lecture Lab IE UE Total
1 CMI 2301 Soft Computing 3 3 0 40 60 100
2 CMI 2302 Internet Technologies 3 3 0 40 60 100
3 CMI 2303 MI Lab III 1 0 2 50
4 CMI 2304 Mini Project II 2 50
5 Elective II 3 3 0 40 60 100
6 Elective III 3 3 0 40 60 100
7 Elective IV 3 3 0 40 60 100


Total for Semester III 18 600

IE - Internal Examination
UE - University Examination

Semester IV

No Course Code Course Title Marks
IE UE Total
1 CMI 2401 Research/Internship 250 250 500

Graduation Eligibility
For graduation, the student must satisfy all the requirements as per the CUSAT rules.

 

Postgraduate Admissions 2017-2018(Closed)