Guidelines for Choosing M.Tech(IT) Specialization 2021-22
This document supersedes all prior documents in this regard
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 |
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
|
Min=12% Max=14% |
|
2. |
Min=12% Max=14% |
||
3. |
Min=12% Max=14% |
||
4. |
Min=12% Max=14% |
||
5. |
Min=12% Max=14% |
||
6. |
Min=12% Max=14% |
||
7. |
Min=12% Max=14% |
||
8. |
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
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. |
Dr. Manish Kumar |
||
2. |
Dr. Soumyadev Maity |
||
3. |
Prof. Anupam |
||
4. |
Dr. K. P. Singh |
||
5. |
Dr. Rahul Kala |
rkala@iiita.ac.in |
|
6. |
Dr. Sonali Agarwal |
||
7. |
Dr. Vijay Chaurasia & Dr. Jagpreet Singh |
||
8. |
Dr. Satish K. Singh |
||
For any other additional information the Head Department of IT or his Office may be contacted. |
Prof. Pavan Chakraborty |
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 |
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. |
Advanced Graphics & Animation |
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. Natural Language Processing |
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 |
|
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:
(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.