Guidelines for Choosing M.Tech(IT)  Specialization 2021-22

This document supersedes all prior documents in this regard

  1. The Department of Information Technology (IT) offers 7 Specializations as shown in Table 2.
  2. Students are selected through CCMT (CENTRALIZED COUNSELLING FOR M.TECH. / M.ARCH. / M.PLAN. ADMISSIONS : https://ccmt.nic.in/WebInfo21/Page/Page?PageId=1&LangId=P

Table 1.

OPEN

OPEN- PwD

EWS

EWS-

PwD

SC

SC-

PwD

ST

ST-

PwD

OBC

OBC-PwD

Total

48

3

11

1

18

1

9

0

32

2

125

  1. Apart from CCMT selection, the Department of IT takes admission of limited students through Direct Admission of Students Abroad (DASA): DASA PG 2021

  1. First semester subjects for all the candidates admitted in M.Tech. (IT) programmes shall remain common.

  1. Seat details in M.Tech. Specializations: Table 2.

Table 2.

Si. No.

Program Name

Specialization

The Laboratory/ Centers offering the Specialization are mentioned in the specialization pages.

The faculty coordinator: Table 4.

Minimum/Maximum Percentage of Total Eligible students *

    1.

M.Tech. –IT

Data Engineering (DE)

Min=12% Max=14%

    2.

Cyber Laws and Information Security (CLIS)

Min=12% Max=14%

    3.

Human Computer Interaction (HCI)

Min=12% Max=14%

    4.

Machine Learning and Intelligent Systems (MLIS)

Min=12% Max=14%

    5.

Robotics and Machine Intelligence (RMI)

Min=12% Max=14%

    6.

Software Engineering (SE)

Min=12% Max=14%

    7.

Wireless Communication and Computing (WCC)

Min=12% Max=14%

    8.

(Generic)

Min=12% Max=14%

* Total Eligible students: The Total number of students who are eligible to move to the 2nd Semester is considered as 100%. It has been decided that each specialization will have a Minimum and a Maximum percentage of the number of students as reflected in Table 2. In case of any discrepancy the decision of the Head-IT will be final and binding on all 

  1. Seat Allocation
  1. After completion of the first semester, the students will be asked to select the specializations offered by the Department in that academic session as per the procedures laid down by the Department of IT.
  2. The following procedure will be followed for allocation of the specializations
  1. The students will be asked to submit their preferences for all 7 specializations + M.Tech.(IT) (Generic). It will be mandatory for the students to fill all 8 preferences.
  2. The department will allocate the specializations to the students in accordance with
  1. 1st semester SGPI.
  2. Total number of the seats in a specialization maintaining the Minimum/Maximum number of seats in each specialization.
  3. Students’ preferences
  1. The Department reserves the right to offer or not a particular specialization. It is possible that all specializations given in Table 2 may not run. The specializations that will be offered shall be announced before the commencement of the 2nd  Semester.

  1. It is expected that the student will work on M.Tech. Project/Thesis in tune with the specialization assigned to him/her. So the selection of project Mentor(s)/Supervisor(s) has to be made where the Mentor/Supervisors is willing to guide the students in a Project/Thesis attuned to the specialization.

  1. Students will have to register their Project Mentor/Supervisor for the 2nd Semester Project as soon as their specialization is decided. To ensure an optimum number of M.Tech. students to all faculties of the department, the department will ensure a procedure for the number of students to be Supervised by a Faculty. In normal circumstances, the Project  Mentor/Supervisor will not be changed for the 3rd and 4th semester Thesis work. It shall be the endeavor to see the three semester projects/Thesis to be connected, which will enable the students to go deep into the specialization and at the end students will be able to have a good research outcome in the form of publication out of their M.Tech. Thesis work. It is to be noted that if they do not have any research outcome i.e. publication out of their Thesis work, then students may not be able to obtain more than 8 GPA points in their final Thesis project.  

  1. Under extraordinary circumstances the change of supervisor will be with the approval of the DPGC. The extraordinary circumstances shall be limited to personal/administrative reasons only.

  1. The Institute reserves the right to take appropriate decisions in regard to the implementation of the “Guidelines for choosing M.Tech(IT)  Specialization 2021-22 ”, which shall be binding to all concerned.

For any other Details regarding the M.Tech. Course :

The M.Tech Ordinance of IIIT-Allahabad may please be referred to:

Reference Link: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. .

https://examcell.iiita.ac.in/pdf/10.05%20Ordinance%20for%20M%20Tech.pdf

Faculty Coordinators for Different Specializations

Incase of any doubt/additional Clarification: The faculty coordinator for the different specializations may be contacted with a CC to hod.it@iiita.ac.in and Hodoffice.it@iiita.ac.in. Below are the contact details of the faculty coordinator for each specialization.

Table 3.

Si. No.

Specialization

Faculty coordinators with email Address

1.

Data Engineering (DE)

Dr. Manish Kumar

manish@iiita.ac.in

2.

Cyber Laws and Information Security (CLIS)

Dr. Soumyadev Maity

soumyadev@iiita.ac.in

3.

Human Computer Interaction (HCI)

Prof. Anupam

anupam@iiita.ac.in

4.

Machine Learning and Intelligent Systems (MLIS)

Dr. K. P. Singh

kpsingh@iiita.ac.in

5.

Robotics and Machine Intelligence (RMI)

Dr. Rahul Kala

rkala@iiita.ac.in

6.

Software Engineering (SE)

Dr. Sonali Agarwal

sonali@iiita.ac.in

7.

Wireless Communication and Computing (WCC)

Dr. Vijay Chaurasia &

Dr. Jagpreet Singh

vijayk@iiita.ac.in

jagpreets@iiita.ac.in

     8.

(Generic)

Dr. Satish K.  Singh

sk.singh@iiita.ac.in

For any other additional information the Head Department of IT or his Office may be contacted.

Prof. Pavan Chakraborty

hod.it@iiita.ac.in hodoffice.it@iiita.ac.in 

M.Tech (IT) Course Structure with Different Specializations

M.Tech Credit Distribution

Table 4.

Semester Number

Mandatory Credit Required

Maximum Credit Allowed

1

16

20

2

20

20

3

18

20

4

10

20

TOTAL:

64

80

First Semester Courses Common to all M.Tech.(IT) Specializations

Table 5.

Si. No.

Subject Name

Total Credit

L

T

P

1.

Mathematics for IT

4

2

2

0

HC

2.

Programming Practices

4

2

0

2

HC

3.

Advanced Data Structures and Algorithms

4

2

1

1

HC

  4.

Research Methodology

4

2

1

1

HC

Total

16

24 Hrs./week

Annexure-1

Structure of M.Tech. (IT) program with specialization in

Data Engineering (DE)

The Laboratory/ Centers offering the Specialization: Data Analytics Lab (DAL), Big Data Analytics Lab(BDAL), Analytics and Application Lab(AAL)

Note: Faculties from all other labs of IIITA are also associated. 

Motivation        

Course Structure

(Please Note 1st Sem common for all M.Tech.(IT) Specializations in Table 5)

Table 5:  Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

    5.

Data Analytics

4

2

0

2

HC

6.

Artificial Intelligence and Machine Learning

4

3

1

0

HC

7.

Data Visualization

4

2

1

1

HC

8.

Elective -1

4

2

1

1

9.

Project -1

4

0

1

3

Total

20

24 Hrs./week

Table 7: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

10.

Elective -2

4

2

1

1

      11.

Elective -3

4

2

1

1

      12.

Elective -4

4

2

1

1

      13.

Thesis

6

0

2

4

Total

18

30 Hrs./week

Table 8: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

P

    14.

Thesis

10

0

4

6

Total

10

20 Hrs./week

Table 9: List of Electives:

1.   Big Data Analytics

2.   Time Series Data Analytics

3.   Blockchain Technology

4.   Parallel and Distributed Computing

5.   Business Analytics

6.   Information Retrieval

7.   Semantic Data Analytics

8.   Applied Data Analytics

9.   Deep Learning

10.   Database Security

11.   Convex Optimization

12.   Probabilistic Machine Learning and Graphical Models

13.   Advanced Database Management Systems

14.   Natural Language Processing

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. 


Annexure-2

Structure of M.Tech. (IT) program with specialization in

Cyber Laws and Information Security (CLIS)

The Laboratory/ Centers offering the Specialization: Network Security and Cryptography (NSC) Lab

Motivation        

(Please Note 1st Sem common for all M.Tech.(IT) Specializations in Table 5. )

Table 10.: Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

5.

Cryptography

4

2

0

2

HC

6.

Network Security

4

3

1

0

HC

7.

Cyber Law and Security Standards

4

2

1

1

HC

8.

Elective -1

4

2

1

1

9.

Project -1

4

0

1

3

Total

20

31 Hrs./week

Table 11.: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

    10.

Elective -2

4

2

1

1

    11.

Elective -3

4

2

1

1

    12.

Elective -4

4

2

1

1

    13.

Thesis

6

0

2

4

Total

18

28 Hrs./week

Table 12.: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

14P

14.

Thesis

10

0

4

6

Total

10

20 Hrs./week

Table 13: List of Electives:

1.   Mobile Computing

2.   Database Security

3.   Blockchain and Cryptocurrency

4.   Internet Protocols

5.   Advanced Cryptography

6.   Social Network Analysis

7.   Wireless Networks

8.   BCP & RDP

9.   Computer Forensics

10.   Intrusion Detection System

11.   Cyber Security & Digital Forensics

12.   Introduction to Information Security Management

13.   Soft Computing

14.   Image & Video Processing

15.   Mobile & Wireless Security

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. 


Annexure-3

Structure of M.Tech. (IT) program with specialization in

Human Computer Interaction (HCI)

The Laboratory/ Centers offering the Specialization: Interactive Technologies and Multimedia Research (ITMR) Lab, Speech Image and Language Processing (SILP) Lab, Software Engineering Research Lab, Analytics & Application Lab, Computer Vision and Biometrics Lab.

Motivation        


(Please Note 1st Sem common for all M.Tech.(IT) Specializations in Table 5. )

Table 14.: Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

5.

Cognition and Cognitive Process Modeling

4

2

1

1

HC

6.

Computational Intelligence

4

2

1

1

HC

7.

Image and Video Processing

4

2

1

1

HC

8.

Elective -1

4

2

1

1

9.

Project -1

4

0

1

3

Total

20

32 Hrs./week

Table 15.: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

10.

Elective -2

4

2

1

1

11.

Elective -3

4

2

1

1

12.

Elective -4

4

2

1

1

13.

Thesis

6

0

2

4

Total

18

26 Hrs./week

Table 16.: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

P

14.

Thesis

10

0

4

6

Total

10

20 Hrs./week

Table 17: List of Electives:

1.   Advanced Graphics & Animation

2.   Visual Recognition

3.   Principles of Interaction Design

4.   Deep Learning

5.   Virtual Reality

6.   Computer Vision

7.   Game Design & Development

8.   Usability Engineering

9.   Data Modeling & Analysis

10.   User Experience Design

11.   Collaboration and Communication Technologies

12.   Pattern Recognition

13.   Affective Computing

14.   Remote Sensing & GIS

15.   Usability Engineering

16.   Natural Language Processing

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. 


Annexure-4

Structure of M.Tech. (IT) program with specialization in

Machine Learning and Intelligent Systems  (MLIS)

The Laboratory/ Centers offering the Specialization:

Machine Learning & Optimization Lab (MLO Lab), Computer Vision & Biometrics Lab (CVB Lab), Speech Image and Language Processing Lab (SILP Lab).

Some other labs, also, from the Department.

Note: This course has been running successfully at IIITA since 2007. Strong group of faculty members exist in the department.

Objective :

MLIS, MTech Program provide the foundation and advanced skills in the principles and technologies that underlie, Machine Learning, Deep Learning, probabilistic models and Convex & Non convex optimisation. Students can pursue advanced research topics in areas such as cognition, vision, natural language processing and representation Learning.

(Please Note 1st Sem common for all M.Tech.(IT) Specializations in Table 5. )

Table 18.: Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

5.

Introduction to Machine Learning                                                                                                                                                                                            

4

2

0

2

HC

6.

Cognition and Cognitive Process Modeling

4

3

1

0

HC

7.

Convex Optimization

4

2

1

1

HC

8.

Elective -1

4

2

1

1

9.

Project -1

4

0

1

3

Total

20

31 Hrs./week

Table 19.: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

10.

Elective -2

4

2

1

1

11.

Elective -3

4

2

1

1

12.

Elective -4

4

2

1

1

13.

Project - 2

6

0

2

4

Total

18

30 Hrs./week

Table 20.: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

P

14.

Thesis

10

0

2

8

Total

10

20 Hrs./week

Table 21.: List of Electives:

1.   Computer Vision

2.   Natural Language Processing

3.   Deep Learning

4.   Information Retrieval

5.   Pattern Recognition

6.   Social Network Analysis

7.   Biometrics

8.   Advance Data Analytics

9.   Probabilistic Machine Learning and Graphical Model

10.   Virtual Reality

11.   Soft computing

12.   Image and Video processing

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. 


Annexure-5

Structure of M.Tech. (IT) program with specialization in

Robotics and Machine Intelligence 

The Laboratory/ Centers offering the Specialization:Robotics and Machine Intelligence Lab, Analytics and Application Lab.

Motivation:

The Robotics and Machine Intelligence laboratory of the Information Technology department  is the oldest research and teaching laboratory  of the institute which started in 2001. The laboratory now is regarded as one of the foremost seats of learning in the area of Robotics, in the country .The laboratory is also well networked within the robotics community of the country and abroad and is well equipped with a number of the state of the art mobile, manipulating and Humanoid robots ().

Robotics program has brought many laurels to the institute, one such evidence could be seen in (https://www.analyticsindiamag.com/6-best-institutes-in.../)) together with producing high quality alumni who can be seen at all major robotics companies and the alumni also got admits into the top Ivy league universities. During the two years Robotics and Machine Intelligence program, we are committed to provide a stimulating environment to the deserving candidates so that they can showcase their talents and build up an illustrious career in this niche area. https://www.youtube.com/watch?v=h-dffwsYIA8

(Please Note 1st Sem common for all M.Tech.(IT) Specializationsion in Table 5. )

Table 22.: Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

 

5.

Mathematical Foundations of Robotics -1

4

2

0

2

HC

 6.

Robot Motion Control

4

2

1

1

HC

 7.

Soft Computing

4

2

1

1

HC

 8.

Elective -1

4

2

1

1

 

 9.

Project -1

4

0

1

3

 

 Total

20

34 Hrs./week

 

Table 23.: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

 

10.

Mathematical Foundations of Robotics -2

4

2

1

1

 

 11.

Elective -2

4

2

1

1

 

 12.

Elective -3

4

2

1

1

 

 13.

Thesis

6

0

2

4

 

 Total

18

30 Hrs./week

 

Table 24.: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

P

 

14.

Thesis

10

0

2

8

 

 Total

10

20 Hrs./week.

 


Table 25.: List of Electives:

1.         Biped locomotion and Control

2.          Natural Language Processing

3.      Distributed Systems

4.         Swarm and Evolutionary Robotics

5.          Deep Learning

6.          Social Network Analysis

7.      Robot Motion Planning

8.          Embedded Systems

9.          Computer Vision

10.  Human Robot Interaction

11.  Virtual Reality

12. Advanced robotics               perception and control

13.  Image and Video Processing

 

 

 

 

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. 


Annexure-6

Structure of M.Tech. (IT) program with specialization in

Software Engineering

The Laboratory/ Centers offering the Specialization: Software Engineering Research Lab (SER Lab), Big Data Analytics Lab, Analytics and Application Lab.

(Please Note 1st Sem common for all M.Tech.(IT) Specializations in Table 5. )

Table 26.: Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

5.

Software Process Management

4

2

0

2

HC

6.

Software Architecture

4

3

1

0

HC

7.

Software Requirements & Estimation

4

2

1

1

HC

8.

Elective -1

4

2

1

1

9.

Project -1

4

0

1

3

Total

20

31 Hrs./week

Table 27.: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

10.

Elective -2

4

2

1

1

11.

Elective -3

4

2

1

1

12.

Elective -4

4

2

1

1

13.

Project - 2

6

0

2

4

Total

18

20 Hrs./week

Table 28.: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

P

14.

Thesis

10

0

4

6

Total

10

20 Hrs./week


Table 29.: List of Electives:

1.   Software Testing and Quality Management

2.   Data Mining

3.   Usability Engineering

4.   Agent Based Systems

5.   Software Test Automation

6.   Advanced DBMS

7.   Agile Methodologies

8.   Cryptography and Information Security

9.   Software Security

10.   Information Retrieval Techniques

11.   Advance Data Analytics

12.   Real Time Systems Design

13.   Enterprise Resource Planning

14.   Test Driven Development

15.   Mobile Software Engineering

16.   User Interface Design And Evaluation

17.   Web Design And Management

18.   Cyber Security and Digital Forensics

19.   Social Network Analysis

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. 


Annexure-7

Structure of M.Tech. (IT) program with specialization in

Wireless Communication and Computing

The Laboratory/ Centers offering the Specialization: Center of Research and Development for IoT Lab, Systems Lab, Wireless sensor lab.

Motivation: Wireless Communication and Computing is one of the oldest specializations in IIIT Allahabad. The specialization is offered with the support of many research and academic enthusiastic faculties of the institute. The courses in this specialization are designed to equip students with theoretical and practical knowledge of Wireless Communication, Wireless and Mobile Networks, IoT, and their applications. The courses are supported by state-of-the-art laboratory infrastructure which includes multiple sensor motes, sensors, IoT kits, and software to simulate various aspects of wireless communication. The main focus of this specialization is to make students Industry and research-ready in the domain of Wireless Communication and Computing.

(Please Note 1st Sem common for all M.Tech.(IT) Specializations in Table 5. )

Table 30.: Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

          5.

Advanced Digital Communications

4

2

1

1

HC

          6.

Wireless Networks

4

2

1

1

HC

          7.

Wireless Adhoc & Sensor Networks

4

2

1

1

HC

          8.

Elective -1

4

2

1

1

          9.

Project -1

4

0

1

3

Total

20

32 Hrs./week

Table 31.: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

          10.

Elective -2

4

2

1

1

          11.

Elective -3

4

2

1

1

          12.

Elective -4

4

2

1

1

          13.

Thesis

6

0

2

4

Total

18

16 Hrs./week

Table 32.: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

P

          14.

Thesis

10

0

4

6

Total

10

20 Hrs./week

Table 33.: List of Electives:

1.   Internet of Things

2.   Advanced Computer Networks

3.   Network Security

4.   Social Networks

5.   Advances in Wireless Networks

6.   Cellular and Mobile Communication Systems

7.   Network Management and Security

8.   Detection and Estimation Theory

9.   Internet Protocols

10.   MIMO Communication

11.   Wireless and Mobile Security

12.   Mobile Data Management

13.   Wireless Adhoc Networks

14.   Graph Theory

15.   Semantic Web

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad. 


Annexure-8

Structure of M.Tech (IT)

(Generic)

The Laboratory/ Centers offering the Specialization: All the research labs  of the Department of Information Technology.

Motivation:

  1. Flexible, Multidisciplinary, General to Specialized, and Industry Oriented Masters Program.
  2. Flexibility in terms of the electives to be opted by the students.
  3. Multidisciplinary as students can opt for the variety of electives offered in other M.Tech Programs.
  4. Allows the students to work on specialization not covered by the specific specialization offered by the department of Information Technology.
  5. General to Specialized as students can choose all the electives from different domains making their knowledge base very general or by choosing all the electives in a single domain making it very specialized.
  6. Industry Oriented as it includes the electives from data analytics & engineering, machine learning, software engineering, networks, security, computer vision, cognitive computing, natural language processing, deep learning, ERP, and many more.

(Please Note 1st Sem common for all M.Tech.(IT) Specializations Table 5. )

Table 34.: Second Semester

Si. No.

Subject Name

Total Credit

L

T

P

5.

Elective - 1

4

2

0

2

6.

Elective – 2

4

3

1

0

7.

Elective – 3

4

2

1

1

8.

Elective - 4

4

2

1

1

9.

Project -1

4

0

1

3

Total

20

20 Hrs./week

Table 35.: Third Semester

Si. No.

Subject Name

Total Credit

L

T

P

10.

Elective -5

4

2

1

1

11.

Elective -6

4

2

1

1

12.

Elective -7

4

2

1

1

13.

Thesis

6

0

2

4

Total

16

20 Hrs./week

Table 36.: Fourth Semester

Si. No.

Subject Name

Total Credit

L

T

P

14.

Thesis

10

0

4

6

Total

10

20 Hrs./week

Table 37.: List of Electives*:

Elective-1

AI & Machine Learning

Big Data Analytics

Business Analytics

Semantic Data Analytics

Natural Language Processing

Elective-2

Big Data Analytics

Mobile Computing

Blockchain and Cryptocurrency

Social Network Analysis

Introduction to Information Security Management

Elective-3

Blockchain and Cryptocurrency

Computer Vision

Image and Video Processing

Advanced Graphics & Animation

Information Retrieval

Elective-4

Image and Video Processing

Pattern Recognition

Visual Recognition

Biometric Recognition

Data Compression

Elective-5

Pattern Recognition

Cognition and Cognitive Process Modeling

Probabilistic Graphical Model and Machine Learning

Deep Learning

Internet of Things

Elective-6

Internet of Things

Wireless Networks

Internet Protocols

Real Time Systems Design

Parallel and Distributed Computing

Elective-7

Real Time Systems Design

Software Process Management

Software Testing and Quality Management

Embedded Systems

Enterprise Resource Planning

*Students may opt for the other electives offered to the other M.Tech (IT) specializations in the department after the recommendation by the Faculty Coordinator.

Link for: Ordinance for Choice & Credit Linked Continuous Assessment and Award (CCLCAA) implemented from 2018 for M.Tech. Degree Programs offered at IIIT Allahabad.