Research Degree Admissions

Events of Admissions Cycle (tentative) for M.Tech. (Research)/Ph.D. Programs

PARTICULARS

DAY

DATES

Admission announcement (short one) in newspapers

Saturday

21.01.2017

Admission announcement in Employment newspaper (with full details)

Sunday

05.02.2017

Commencement of online application

Wednesday

01.02.2017

Last date for online application (website closure) by 12 mid night

Friday

24.03.2017

Last date for receipt of printed version of ERP/sponsored online application

Friday

31.03.2017

ii. Interview dates for Research Programs: June 5-9, 2017

 

Starting from August 2017 admissions cycle, the Department of Computational and Data Sciences will start accepting students under the new department’s programs. The IISc Admissions Information Brochure gives details on eligibility, selection process and scholarships to the M.Tech. (Engineering) and Ph.D. research programs at CDS.

Research Streams

Research activities at CDS are broadly categorized into two streams: Computational Science and Computer&Data Systems with research admissions conducted separately for each stream. Research labs at CDS are placed in one of these two streams.

  • Computational Science Stream (CDS-CP) deals with computational methods and their application to scientific domains. This typically requires skills at the intersection of applied mathematics, application-specific knowledge, and effective use of computing platforms. Research in this area include Bio-molecular Computation, Computational Electrodynamics, Computational Photonics, Medical Imaging, Numerical Linear Algebra, Numerical Analysis, Computational Mathematics/Scientific Computation, and Structural Biology & Bio-Computing.  More details can be found here
  • Computer and Data Systems Stream (CDS-CS) deals with the research topics: Computer Aided Design, Computer Architecture, Cloud Computing Systems, Distributed Systems, Data Sciences, Big Data Platforms, Computer Vision and Image/Video Analytics, Database Systems, Embedded System-On-Chip Architectures, High Performance Computing Systems, Machine Learning, Natural Language Processing, Deep Learning for Vision and Language, Parallel Computing. More details can be found here