March 2017
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Master of Science in Computer Science with specialization in Data 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, 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 Data 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 Data Analytics .
- To cater the needs of government, industry and scientific organizations in the Computer Science and Data 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 Data 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 competent Data Analytics 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:

- CDA 2101 Computer Architecture and Organization
- CDA 2102 Problem Solving and Programming in C
- CDA 2103 Data Structure and Algorithm
- CDA 2104 Machine Learning
- CDA 2105 Foundations of data analytics
- CDA 2201 Operating system
- CDA 2202 Computer Networking
- CDA 2203 Database Management System
- CDA 2204 Object Oriented Analysis and Design
- CDA 2301 Software Engineering
- CDA 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 11 Elective courses from the following list of courses:

Electives for semester II :

- CDA 2208 Data Analytics
- CDA 2209 Time Series Analysis and SEM Modeling
- CDA 2210 Predictive Data Analytics
- CDA 2211 Computational Modeling

Electives for semester III:

- CDA 2305 Language Technologies & Information Retreival
- CDA 2306 Advanced Data Analytics
- CDA 2307 Big Data Technologies
- CDA 2308 AI & Knowledge representation
- CDA 2309 Web analytics
- CDA 2310 Spatial Data Analytics
- CDA 2311 Theory of Computation

TENTATIVE SEMESTER-WISE BREAKUP OF COURSES FOR 2 YEARS

Semester I

No Course Code Course Title Credits Lecture Lab IE UE Total
1 CDA 2101 Computer Architecture and Organization 3 3 0 40 60 100
2 CDA 2102 Problem Solving and Programming in C 3 3 0 40 60 100
3 CDA 2103 Data Structure and Algorithm 3 3 0 40 60 100
4 CDA 2104 Machine Learning 3 3 0 40 60 100
5 CDA 2105 Foundations of data analytics 3 3 0 40 60 100
6 CDA 2106 DA Lab I 1 0 0 50
7 CDA 2107 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 CDA 2201 Operating system 3 3 0 40 60 100
2 CDA 2202 Computer Networking 3 3 0 40 60 100
3 CDA 2203 Database Management System 3 2 2 40 60 100
4 CDA 2204 Object Oriented Programming 3 2 2 40 60 100
5 CDA 2205 DA Lab II 1 0 2 50
6 CDA 2206 Programming Lab II 1 0 2 50
7 CDA 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 Tot
1 CDA 2301 Software Engineering 3 3 0 40 60 100
2 CDA 2302 Internet Technologies 3 3 0 40 60 100
3 CDA 2303 DA Lab III 1 0 2 50
4 CDA 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 CDA 2401 Research/Internship 250 250 500

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