June 2017
S M T W T F S
1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30
IIIT MK Newsletter Subscription
Name:

Email:

PDF Print

Master of Science in Computer Science with specialization in Geospatial Analytics

Eligibility
Entry-level requirement is a Bachelor's Degree in any branch of Engineering or Technology / Science with Mathematics as a subject of study OR Graduation/ Specialization in GeoScience, 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 Geospatial Analytics 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 Geospatial Analytics .
- To cater the needs of government, industry and scientific organizations in the Computer Science and Geospatial Analytics 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 Geospatial Analytics.
- 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 geoinformatics 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 each. 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:

- CGS 2101 Computer Architecture and Organization
- CGS 2102 Problem Solving and Programming in C
- CGS 2103 Data Structure and Algorithm
- CGS 2104 Introduction to GIS
- CGS 2105 Foundations of data analytics
- CGS 2201 Operating system
- CGS 2202 Computer Networking
- CGS 2203 Database Management System
- CGS 2204 Object Oriented Programming
- CGS 2301 Software Engineering
- CGS 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 7 Elective courses from the following list of courses:

Electives for semester II

- CGS 2208 Geospatial Modeling and Analysis
- CGS 2209 Principles of Remote Sensing

Electives for semester III

- CGS 2305 Spatial Data Analytics
- CGS 2306 Web Mapping and Web CGS
- CGS 2307 CGS Customization and Application Development
- CGS 2308 FOSS4CGS
- CGS 2309 Mobile GIS Applications

TENTATIVE SEMESTER-WISE BREAKUP OF COURSES FOR 2 YEARS

Semester I

No Course Code Course Title Credits Lecture Lab IE UE Total
1 CGS 2101 Computer Architecture and Organization 3 3 0 40 60 100
2 CGS 2102 Problem Solving and Programming in C 3 3 0 40 60 100
3 CGS 2103 Data Structure and Algorithm 3 3 0 40 60 100
4 CGS 2104 Introduction to GIS 3 3 0 40 60 100
5 CGS 2105 Foundations of data analytics 3 3 0 40 60 100
6 CGS 2106 GS Lab I 1 0 2 50
7 CGS 2107 Programming Lab I 1 0 2 50


Total for Semester I 17 600

Semester II

No Course Code Course Title Credits Lecture Lab IE UE Total
1 CGS 2201 Operating system 3 3 0 40 60 100
2 CGS 2202 Computer Networking 3 3 0 40 60 100
3 CGS 2203 Database Management System 3 2 2 40 60 100
4 CGS 2204 Object Oriented Programming 3 3 0 40 60 100
5 CGS 2205 GS Lab II 1 0 2 50
6 CGS 2206 Programming Lab II 1 0 2 50
7 CGS 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 CGS 2301 Software Engineering 3 3 0 40 60 100
2 CGS 2302 Internet Technologies 3 3 0 40 60 100
3 CGS 2303 GS Lab III 1 0 2 50
4 CGS 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 CGS 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)