This programme is specifically designed and offered in response to the rapidly developing field of data science and AI that are currently gaining unprecedented traction in the industry as well as in the job market worldwide. As such, there will be rich opportunities for specially skilled graduating
students to work across multiple domains of the digital economy and participate in enhancing India’s global competitiveness. The programme hence aims to produce the next generation of highly skilled post graduates that are required to continue propel the high-value economy growth of our country. This programme strikes a balance between Computer Science, Statistics and Mathematical Sciences, which enables it to provide a more comprehensive training in terms of the computing aspects of data science. It is also system-and-product driven in that it covers the essentials in software and product development, and it provides students with a large amount of practical trainings.

The programme is structured to equip students with the following:
1. To impart principled understanding of data Science field
2. To understand methods to extract non-obvious and useful patterns from large data sets
3. To acquire skill sets required for a data scientist
4. To build machine learning models for challenging problems

Number of Seats: 18

Admission: To be offered in alternate years starting from 2019

Eligibility requirement for admission:
Candidates for admission should possess:
a) A First Class B.Tech/ BE/ AMIE Degrees in Computer Science & Engineering/Information Technology/Electronics & Communication / Electrical and Electronics / MCA/ Postgraduate degree in Maths/Statistics/Computer Science from any Universities in Kerala or an Examination of any other University/Institution accepted by this University as equivalent thereto, with a minimum of 60% marks/ 6.5 CGPA (in 10 point scale or equivalent)

b) Candidates should have minimum of Two Years experience in IT industry of repute/ University/ Institutions recognized by appropriate statutory bodies, after acquiring the qualifying degree.

c) A valid GATE score in appropriate branch.

d) In the absence of GATE qualified candidates Non GATE candidates can be admitted on the basis of a Departmental Admission Test (DAT) conducted by the Department/School.

Course Duration: 6 Semesters

Course Timings:
A minimum of 8 hours per week is offered in any of the following time slots.
Week Days : 6 p.m. - 8 p.m. (Monday to Friday)
Weekends : 9 a.m. - 4 p.m. (Saturday, Sunday)

Programme Structure
  Year 2019