Metadata
Title
CSE
Category
undergraduate
UUID
75878a2760f14e03855db3f03338e96f
Source URL
https://cse.iitk.ac.in/pages/SuoMotoDisclosure.html
Parent URL
https://cse.iitk.ac.in/
Crawl Time
2026-03-18T08:11:46+00:00
Rendered Raw Markdown
# CSE

**Source**: https://cse.iitk.ac.in/pages/SuoMotoDisclosure.html
**Parent**: https://cse.iitk.ac.in/

#### Suo Moto Disclosure

*Information as of Oct 21,  2019.*

• **Number of faculty:** 33

• **Number of Adjunct Faculty:** 3

• **Number of Visiting Faculty:** 1

• **Number of Institute Postdoctoral Fellows:** 1

• **Number of Project Postdoctoral Fellows:** 3

• **Number of Technical Staff:** 8

• **Number of Ministerial Staff:** 6

• **Number of Instructional Labs:** 3

• **Number of Research Labs:** 20

###### Current Student Information

| Program | BTech | Dual  Degree | MTech | MS | PhD |
| --- | --- | --- | --- | --- | --- |
| Year |  |  |  |  |  |
| 2011 | - | - | - | - | 1 |
| 2012 | - | - | - | - | 2 |
| 2013 | 28 | 1 | - | - | 3 |
| 2014 | 20 | - | - | - | 5 |
| 2015 | 19 | 7 | - | - | 13 |
| 2016 | 91 | 2 | 1 | 3 | 11 |
| 2017 | 97 | - | 4 | 5 | 11 |
| 2018 | 76 | - | 75 | 10 | 15 |
| 2019 | - | - | 82 | 13 | 9 |

###### Admissions Criteria

• **B.Tech.:** The admissions are governed by the rules of  [IIT JEE](https://www.jeeadv.ac.in/) .

•  **M.Tech./M.S./Ph.D.:** The admissions criteria is that the candidate has to clear the tests and interviews. The selection procedure is available [here](https://www.cse.iitk.ac.in/users/admissions/admissions/).

###### Recruitment Criteria

The recruitment criteria of the institute is followed by the department. The call for regular appointments is available [here](https://www.iitk.ac.in/dofa/regular-recruitment).

###### Department Mission

**To teach with passion, to seek and radiate new knowledge with vigor, and to participate in building our nation's digital base with commitment and integrity**

###### 5 Year Vision Statement:

**1.** Develop education and research in frontier areas such as algorithm engineering, computer systems, machine learning cyber security, human-computer interaction, & Artificial Intelligence at par with this department's reputation in theoretical computer science.

**2.** Develop large research programs with government and industrial funding.

**3.** Develop a critical mass of faculty, undergraduate researchers, M.Tech/MS/PhD students and post-doctoral fellows in target areas

**4.** Develop a funding level from sponsored research and consultancy that is unparalleled in India.

**5.** Develop presence in online education for scalable dissemination of knowledge nationally and internationally.

**6.** Try to recruit more women faculty and researchers and continue to improve the environment conducive to women faculty.

**7.** Make the department a great place to work for all employees and students.