M. Tech. (Information Technology) Specialization
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Guidelines for M.Tech(IT) & M.Tech-PhD(IT) Specialization 2022-23
This document supersedes all prior documents in this regard
- The Department of Information Technology (IT) offers 7 Specializations as shown in Table 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=PTable 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 - Apart from CCMT selection the Department of IT takes admission of limited students through Direct Admission of Students Abroad (DASA): DASA PG 2021
- The IT Department is offering the following specializations in each group:
Table 2.
Sr. No. Groups Specialization M.Tech.Seats per Group M.Tech-PhD Seats 1 Machine Learning, Robotics and Human Computer Interaction Group (previously Systems Group) Machine Learning and Intelligent Systems (MLIS) 48 5 Robotics and Machine Intelligence (RMI) Human Computer Interaction (HCI) 2 Software and Data Engineering Group Software Engineering (SE) 32 4 Data Engineering (DE) 3 Network and Security Group Wireless Communication and Computing (WCC) 32 4 Cyber Laws and Information Security (CLIS) Total Seats 112 13
Every student will be allocated a specialization after the completion of the first semester. For example, if a student opts for systems group, he/she will get a chance to opt for
Machine Learning and Intelligent Systems (MLIS) or
Robotics and Machine Intelligence (RMI) or
Human-Computer Interaction (HCI).
The student may get any of the three specializations mentioned above based on his/her performance (GPA points) in the first semester. Please note that every specialization has an equal number of seats.
For M.Tech.-Ph.D. Programme; 5+4+4 =13 seats (Table 2) have been kept reserved. This is in tune with the spirit of NEP 2020. It is envisaged with a target towards research leading to a PhD programme with a minimum duration of 04 years, and with a possible exit for the award of MTech degree and/or PG Diploma in case of exigency.
Please refer to the M.Tech. and Ph.D. Ordinance for the other details of the M. Tech. and Ph.D. programmes that is available at the following link: https://aaa.iiita.ac.in/
- First semester subjects for all the candidates admitted in M.Tech. (IT) Group shall be common within the Group.
- Seat Allocation
- Every student will be allocated a specialization from within the Group based on his/her choice and performance in the 1st Semester.
- After the completion of the first semester, the students will be asked to select the specializations within the Group, offered by the Department in that academic session as per the procedures laid down by the Department of IT.
- The following procedure will be followed for allocation of the specializations
- The students will be asked to submit their preferences for all the specializations within the group. It will be mandatory for the students to fill all the preferences relevant to the Group. Specializations from other groups will not be allowed.
- The department will allocate the specializations to the students in accordance with
- Students’ preferences
- The 1st semester’s SGPI.
- Total number of the seats in each specialization will be the same within the group.
- 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. Minimum number of seats for a specialization to run shall be decided by the Department at the end of the first semester. The specializations that will be offered shall be announced before the commencement of the 2nd Semester.
- 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 before the commencement of the second semester.
- Students will have to register their Project Mentor/Supervisor, for the 2nd Semester Project, as soon as their specialization is decided. To ensure load balancing, 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. Without any research outcome i.e. publication out of their Thesis work, a student will not be able to obtain more than 8 GPA points in their final Thesis project.
- 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.
- The Institute reserves the right to take appropriate decisions in regard to the implementation of the “Guidelines for choosing M.Tech(IT) Specialization 2022-23 ”, 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:
https://examcell.iiita.ac.in/pdf/10.05%20Ordinance%20for%20M%20Tech.pdf
Salient features
- Degree: MTech-PhD degree shall be given upon successful completion of the programme, when the student defends his Ph.D. Thesis. Provisional MTech degree shall be given after submission of the PhD thesis.
- Seats: The total number of M.Tech.-Ph.D. Seats (5+4+4=13) (Table-2) is taken from the present sanctioned MTech programme seats such that the overall seat matrix will remain unchanged.
- Duration: The minimum duration of the program will be 4 years, including the M.Tech portion.
- Scholarship: Scholarship will be paid for a maximum period of 05 years. Scholarship
will be paid only to those students who complete the M.Tech-PhD programme.
- First year MTech Scholarship
- Second and Third year Ph.D.’s Junior Research Fellowship (JRF)
- Fourth year Senior Research Fellowship (SRF). The student will move SRF only after only after an assessment of his research work by the prescribed committee defined for the purpose (Doctoral Committee of the student which should include an external examiner). If the work by the student is not to the marks and unsatisfactory, the assessment committee may recommend the continuation of JRF or terminate the Fellowship.
- Financial support may further be extended to a maximum of 1 year. This will depend on the (i) strict assessment of the students research performans, with a final approval of the Chairman Senate.
- Exit Options: The exit with MTech will be considered only after completion of the first 2+ years. This exit shall not be a voluntary exit and will happen only if a student has outstanding dropped courses at the beginning of the third semester. In such cases, the student will be required to complete the requirements of MTech programmes (credits and thesis). The exit with PG Diploma will be considered only after 1+ year upon completion of at least 32 credits. Such students would be considered for lateral admission to complete an MTech degree. However, they will not be considered for the PhD program, nor will they be paid any fellowship to complete the remaining credits required for their exit degree of M.Tech/ PG Diploma.
- Course Fee: M.Tech-PhD students will pay fees like the regular M.Tech Students, an M.Tech Fee for the 1st 4 Semesters. From the 5th Semester They will pay the fees on par with the regular PhD students. The students who have been given an exit option will pay the regular M.Tech Fees for the semester.
- Supervisor: To be fixed before the commencement of the 2nd semester in accordance with the provisions of the PhD ordinance.
- Doctoral Committee: To be constituted before the commencement of the 2nd semester in accordance with the provisions of the PhD ordinance
Justification: Benefits of the MTech-PhD programme:
- Early start of research work and publication – Students will embrace the research and innovation culture of the institute. He/she will start contributing towards research activity from start and well in advance
- Programme in line to respect the spirit of NEP – To encourage research culture, students will be motivated to join the MTech-PhD program. However, PG diploma and M.Tech. will be given an exit option as per NEP 2020 will be applicable. Details of the credit table with Exit Scheme are tabulated below.
- From past experience, the M.Tech. - Ph.D. programme has produced extremely good Ph.D. research for the institute.
| Sem | I | II | Summer | III | IV | V | VI | VII | VIII |
|---|---|---|---|---|---|---|---|---|---|
| Year | 1 | 2 | 3 | 4 | |||||
| Credits | 16+4=20 | 16+4=20 | 8 | 12+4=16 | 12 | 12 | 12 | 12 | 12 |
| PG Diploma | - | ||||||||
| Regular M.Tech | - | ||||||||
| MTech-PhD Exit with M.Tech | - | ||||||||
| MTech Fellowship | J.R.F. | - | - | ||||||
| - | S.R.F. | ||||||||
Incase of any doubt/additional Clarification: The faculty coordinator for the different specializations may be contacted with a CC to hod[dot]it[at]iiita[dot]ac[dot]in and Hodoffice[dot]it[at]iiita[dot]ac[dot]in. Below are the contact details of the faculty coordinator for each specialization.
Table 3.
| - | - | Specialization | Faculty coordinators with email Address | |
|---|---|---|---|---|
| 1.1 | Artificial Intelligence Group (Systems Group) | Machine Learning and Intelligent Systems (MLIS) | Dr. K. P. Singh | kpsingh[at]iiita[dot]ac[dot]in |
| 1.2 | Robotics and Machine Intelligence (RMI) | Dr. Rahul Kala | rkala[at]iiita[dot]ac[dot]in | |
| 1.3 | Human Computer Interaction (HCI) | Prof. Anupam | anupam[at]iiita[dot]ac[dot]in | |
| 2.1 | Software and Data Engineering Group | Data Engineering (DE) | Dr. Manish Kumar | manish[at]iiita[dot]ac[dot]in |
| 2.2 | Software Engineering (SE) | Dr. Sonali Agarwal | sonali[at]iiita[dot]ac[dot]in | |
| 3.1 | Network and Security Group | Wireless Communication and Computing (WCC) | Dr. Vijay Chaurasia | vijayk[at]iiita[dot]ac[dot]in |
| 3.2 | Cyber Laws and Information Security (CLIS) | Dr. Abhishek Vaish | abhishek[at]iiita[dot]ac[dot]in | |
| For any other additional information the Head Department of IT or his Office may be contacted. | Prof. Pavan Chakraborty | hod[dot]it[at]iiita[dot]ac[dot]in hodoffice[dot]it[at]iiita[dot]ac[dot]in | ||
M.Tech (IT) Course Structure with Different Specializations M.Tech Credit Distribution
Table 4.
| Semester Number | Mandatory Credit Required for M.Tech | Mandatory Credit Required for M.Tech-PhD | Maximum Credit Allowed MTech/ MTech-PhD |
|---|---|---|---|
| 1 | 16 | 20 | 20 |
| 2 | 16 | 20 | 20 |
| Summer Semester | - | 8 | 8 |
| 3 | 16 | 16 | 20 |
| 4 | 16 | 16 | 20 |
| 5 | - | 12 | 12 |
| 6 | - | 12- | 12 |
| 7 | - | 12 | 12 |
| 8 | - | 12 | 12 |
| Cumulative Degree Credits : | 64 | 128 | 80 |
The M.Tech students may also take the additional credits offered to the M.Tech-PhD students as an Add-On Course. If they decide after 2 Semesters to move into the M.Tech-PhD Programme, depending on their performance, they will be allowed to do so.
In the proposed Curriculum, the 1st Semester courses for the Artificial Intelligence its Application & Virtual Reality Group (Systems Group) is Common for
- Machine Learning and Intelligent Systems (MLIS)
- Robotics and Machine Intelligence (RMI)
- Human-Computer Interaction (HCI).
Table 5: First Semester
| Sr. No | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Mathematics for IT (Foundation Course for MTech-PhD) | 4 | 2 | 2 | 0 |
| 2 | Programming Practices (Area Specific Breadth Paper for MTech-PhD) | 4 | 2 | 0 | 2 |
| 3 | Introduction to Machine Learning | 4 | 2 | 1 | 1 |
| 4 | Image and Video Processing | 4 | 2 | 1 | 1 |
| 5 | Research Methodology (For MTech-PhD) | 4 | 2 | 1 | 1 |
| Total Semester Credit : | 16/20 | 24 Hrs./week 30 Hrs./week |
|||
Annexure-1.1
M. Tech. (IT) 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, M.Tech. Program provides 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 within the Group : Table 5.)
Table 6: Second Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Deep Learning | 4 | 2 | 1 | 1 |
| 2 | Probabilistic Machine Learning and Graphical Model | 4 | 2 | 1 | 1 |
| 3 | Elective - 1 | 4 | 2 | 1 | 1 |
| 4 | Project | 4 | 0 | 0 | 4 |
| 5 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. | 4 | - | - | - |
| Cumulative of 16/20 Credits +Total Semester Credit : | 16/20 | 26 Hrs./week | |||
M.Tech-Ph.D: After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note that there is a Summer Semester between II and III Semester. (please refer to Annexure-4)
Table 7: Third Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Convex Optimization | 4 | 2 | 1 | 1 |
| 2 | Elective – 2 | 4 | 2 | 1 | 1 |
| 3 | Thesis – Part 1 | 8 | 0 | 0 | 8 |
| Cumulative of 32 Credits + Total Semester Credit : | 16 | 28 Hrs./week | |||
Table 8: Fourth Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Thesis – Part 2 | 16 | 0 | 0 | 16 |
| Cumulative of 48 Credits +Total Semester Credit : | 16 | 32 Hrs./week | |||
| Cumulative Degree Credits | 64 | - | |||
Table 9.: List of Electives:
| Sr. No. | Subject Name |
|---|---|
| 1 | Computer Vision |
| 2 | Cognition and Cognitive Process Modeling |
| 3 | Information Retrieval |
| 4 | Cyber Physical System Security |
| 5 | Natural Language Processing |
| 6 | Humanoid and Collaborative Robots |
| 7 | Virtual Reality |
| 8 | Social Network Analysis |
| 9 | Visual Recognition |
| 10 | Big Data Analytics |
| 11 | Independent Study |
Annexure-1.2
M. Tech. (IT) with Specialization in
Robotics and Machine Intelligence (RMI)
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) Specializations within the Group : Table 5. )
Table 10: Second Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Deep Learning | 4 | 2 | 1 | 1 |
| 2 | Robot Motion Control | 4 | 2 | 1 | 1 |
| 3 | Foundations of Robotics | 4 | 2 | 1 | 1 |
| 4 | Project | 4 | 0 | 0 | 4 |
| 5 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. | 4 | - | - | - |
| Cumulative of 16/20 Credits +Total Semester Credit : | 16/20 | 26 Hrs./week | |||
M.Tech-Ph.D: After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note that there is a Summer Semester between II and III Semester.. (please refer to Annexure-4)
Table 11: Third Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Robot Motion Planning | 4 | 2 | 1 | 1 |
| 2 | Elective - 1 | 4 | 2 | 1 | 1 |
| 3 | Thesis – Part 1 | 8 | 0 | 0 | 8 |
| Cumulative of 32 Credits +Total Semester Credit : | 16 | 24 Hrs./week | |||
Table 12: Fourth Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Thesis – Part 2 | 16 | 0 | 0 | 16 |
| Cumulative of 48 Credits + Total Semester Credit : | 16 | 24 Hrs./week | |||
| Cumulative Degree Credits | 64 | - | |||
Table 13: List of Electives:
| Sr. No. | Subject Name |
|---|---|
| 1 | Swarm and Evolutionary Robotics |
| 1 | Humanoid and Collaborative Robots |
| 1 | Advanced Robotics Perception and Control |
| 1 | Robot Vision |
| 1 | Independent Study |
Annexure-1.3
M. Tech. (IT) 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
- This course has been running successfully at IIITA since 2007. Strong group of faculty members exist in the department.
- Research Intensive & Industry Oriented M.Tech. program.
- HCI is the study of designing computers and machines so that they best serve their users (i.e. humans). HCI is closely related to the field of User Experience (UX) design.
- The MTech IT (HCI) course aims to provide the practical skills and theoretical understandings needed to become leaders in the design, implementation and evaluation of the next generation of human-computer or human-machine interfaces.
- HCI students learn how to identify areas of improvement and then create better services and products. In today's highly competitive digital markets, HCI design can be the difference between success and failure.
- This relatively new field offers a multitude of career options for tech-savvy students. Specific career paths include software engineer, UX designer, system engineer, Human Factors Engineer, and project manager, while others go on to build their own tech startups or work freelance.
- The HCI graduates will be working at the forefront of innovation, helping to create and design the next generation of technology that could vastly improve the lives of millions of people. It is particularly relevant in the Indian perspective where a major population lives in rural areas and there is a large digital divide.
- Almost all tech companies/ organizations including the most successful and influential tech giants, such as Google, Microsoft, and Samsung (to name a few) require HCI graduates.
- The graduates will also have opportunities of Higher education (e.g. MS, PhD) in top Universities all over the world. The Master’s course in HCI is offered in almost all top Universities in USA, Europe, UK, Canada and other e.g. CMU, University of California Irvine, Georgia Tech, University of Waterloo, London’s Global University, The Technical University of Berlin to name a few. In India, the top Institutes offering HCI courses are IIT Bombay, Kharagpur, Guwahati, Delhi, Mandi, IISc and other Universities. IIIT-Allahabad was the first Institute in India to start a formal MTech specialization in HCI in India.
- Many projects/thesis going on in this area by current students.
(Please Note 1st Sem. common for all M.Tech.(IT) Specializations within the Group : Table 5. )
Table 14: Second Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Deep Learning | 4 | 2 | 1 | 1 |
| 2 | Cognition and Cognitive Process Modelling | 4 | 2 | 1 | 1 |
| 3 | Advanced Graphics & Animation | 4 | 2 | 1 | 1 |
| 4 | Project | 4 | 0 | 0 | 4 |
| 5 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. | 4 | - | - | - |
| Cumulative of 16/20 Credits +Total Semester Credit : | 16/20 | 26 Hrs./week | |||
M.Tech-Ph.D: After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note that there is a Summer Semester between II and III Semester.. (please refer to Annexure-4)
Table 15.: Third Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Virtual Reality | 4 | 2 | 1 | 1 |
| 2 | Elective - 1 | 4 | 2 | 1 | 1 |
| 3 | Thesis – Part 1 | 8 | 0 | 0 | 8 |
| Cumulative of 32 Credits +Total Semester Credit : | 16 | 24 Hrs./week | |||
Table 16: Fourth Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Thesis – Part 2 | 16 | 0 | 0 | 16 |
| Cumulative of 48 Credits +Total Semester Credit : | 16 | 24 Hrs./week | |||
| Cumulative Degree Credits | 64 | - | |||
Table 17: List of Electives
| Sr. No. | Subject Name |
|---|---|
| 1 | Visual Recognition |
| 2 | Social Network Analysis |
| 3 | Computer Vision |
| 4 | Information Retrieval |
| 5 | Soft Computing |
| 6 | Natural Language Processing |
| 7 | Remote Sensing & GIS |
| 8 | Affective Computing |
| 9 | Speech and Dialog |
| 10 | Pattern Recognition |
| 11 | Medical Image Processing |
| 12 | Usability Engineering |
| 13 | Game Design & Development |
| 14 | Brain-Computer Interface |
| 15 | Principles of Interaction Design |
| 16 | Independent Study |
In the proposed Curriculum, the 1st Semester courses for the Software and Data Engineering Group is Common for
- Software Engineering
- Data Engineering
Table 18: First Semester
| Sr. No | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Mathematics for IT (Foundation Course for MTech-PhD) | 4 | 2 | 2 | 0 |
| 2 | Programming Practices (Area Specific Breadth Paper for MTech-PhD) | 4 | 2 | 0 | 2 |
| 3 | Introduction to Machine Learning | 4 | 2 | 1 | 1 |
| 4 | Data Analytics | 4 | 2 | 1 | 1 |
| 5 | Research Methodology (For MTech-PhD) | 4 | 2 | 1 | 1 |
| Total Semester Credit : | 16/20 | 24 Hrs./week 30 Hrs./week |
|||
Annexure-2.1
M. Tech. (IT) with Specialization in
Software Engineering (SE)
The Laboratory/ Centers offering the Specialization: Software Engineering Research Lab (SER Lab), Big Data Analytics Lab, Analytics and Application Lab.
- Research Intensive & Industry Oriented M.Tech. program(s)
- Strong group of faculty members and researchers with well equipped research labs.
- Suitable to get successful professional careers in industry, government and academia.
- Helpful to take up entrepreneurship for the growth of the economy and to generate employment.
- Develop ability to analyze and evaluate problems and draw on the theoretical and technical knowledge to develop solutions and systems
- To establish awareness on the current research in software development, the analytical skills and research techniques for their critical and independent evaluation and their application to new problems.
(Please Note 1st Sem. common for all M.Tech.(IT) Specializations within the Group : Table 18. )
Table 19: Second Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Software Design & Architecture | 4 | 2 | 1 | 1 |
| 2 | Software Requirements and Estimation | 4 | 2 | 1 | 1 |
| 3 | Elective - 1 | 4 | 2 | 1 | 1 |
| 4 | Project | 4 | 0 | 0 | 4 |
| 5 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. | 4 | - | - | - |
| Total Semester Credit : | 16/20 | 26 Hrs./week | |||
M.Tech-Ph.D: After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note that there is a Summer Semester between II and III Semester. (please refer to Annexure-4)
Table 20: Third Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Software Testing and Quality Management | 4 | 2 | 1 | 1 |
| 2 | Elective –2 | 4 | 2 | 1 | 1 |
| 3 | Thesis – Part 1 | 8 | 0 | 0 | 8 |
| Cumulative of 32 Credits + Total Semester Credit : | 16 | 28 Hrs./week | |||
Table 21: Fourth Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Thesis – Part 2 | 16 | 0 | 0 | 16 |
| Cumulative of 48 Credits +Total Semester Credit : | 16 | 32 Hrs./week | |||
| Cumulative Degree Credits | 64 | - | |||
Table 22.: List of Electives:
| Sr. No. | Subject Name |
|---|---|
| 1 | Software Metrics |
| 2 | Mobile Software Engineering |
| 3 | Business Analytics |
| 4 | Deep Learning (2nd Sem) |
| 5 | Big Data Analytics |
| 6 | Natural Language Processing |
| 7 | Information Retrieval |
| 8 | Soft Computing |
| 9 | Time Series Data Analytics |
| 10 | Social Network Analysis |
| 11 | Data Visualization (2nd Sem) |
| 12 | Cyber Security and Digital Forensics |
| 13 | Software Process Management |
| 14 | Independent Study |
Annexure-2.2
M. Tech. (IT) 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:
- Research Intensive & Industry Oriented M.Tech. program.
- Strong group of faculty members exist in the department.
- Demanded by students and the IT industry.
- Importance of Data analytics at present. It is one of the current trends in the academia & industry.
- This course consists of varied subjects covering various aspects of Data storage, preprocessing, analytics and related topics which prepares students for research and Industry as well.
- Many Ph.D thesis going on in this area by current students. M.tech students may be benefitted also.
Course Structure
(Please Note 1st Sem. common for all M.Tech.(IT) Specializations within the Group : Table 18. )
Table 23: Second Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Data Visualization | 4 | 2 | 1 | 1 |
| 2 | Big Data Analytics | 4 | 2 | 1 | 1 |
| 3 | Elective - 1 | 4 | 2 | 1 | 1 |
| 4 | Project | 4 | 0 | 0 | 4 |
| 5 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. | 4 | - | - | - |
| Cumulative of 16/20 Credits +Total Semester Credit : | 16/20 | 26 Hrs./week | |||
M.Tech-Ph.D: After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note that there is a Summer Semester between II and III Semester.. (please refer to Annexure-4)
Table 24: Third Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Parallel and Distributed Computing | 4 | 2 | 1 | 1 |
| 2 | Elective - 2 | 4 | 2 | 1 | 1 |
| 3 | Thesis – Part 1 | 8 | 0 | 0 | 8 |
| Cumulative of 32 Credits + Total Semester Credit : | 16 | 28 Hrs./week | |||
Table 25: Fourth Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Thesis – Part 2 | 16 | 0 | 0 | 16 |
| Cumulative of 48 Credits +Total Semester Credit : | 16 | 32 Hrs./week | |||
| Cumulative Degree Credits | 64 | - | |||
Table 26: List of Electives:
| Sr. No. | Subject Name |
|---|---|
| 1 | Time Series Data Analytics |
| 2 | Deep Learning (Sem-2) |
| 3 | Business Analytics |
| 4 | Semantic Data Analytics |
| 5 | Social Network Analysis |
| 6 | Information Retrieval |
| 7 | Probabilistic Machine Learning and Graphical Models |
| 8 | Database Security |
| 9 | Blockchain Technology |
| 10 | Natural Language Processing |
| 11 | Convex Optimization |
| 12 | Data Management in Mobile and Sensor Networks |
| 13 | Independent Study |
In the proposed Curriculum, the 1st Semester courses for the Network and Security Group is Common for
- Wireless Communication and Computing (WCC).
- Cyber Laws and Information Security (CLIS).
Table 25: First Semester
| Sr. No | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Mathematics for IT (Foundation Course for MTech-PhD) | 4 | 2 | 2 | 0 |
| 2 | Programming Practices (Area Specific Breadth Paper for MTech-PhD) | 4 | 2 | 0 | 2 |
| 3 | Introduction to Cryptography | 4 | 2 | 1 | 1 |
| 4 | Networking Concepts | 4 | 2 | 1 | 1 |
| 5 | Research Methodology (For MTech-PhD) | 4 | 2 | 1 | 1 |
| Total Semester Credit : | 16/20 | 24 Hrs./week 30 Hrs./week |
|||
Annexure-3.1
M. Tech. (IT) with Specialization in
Wireless Communication and Computing (WCC)
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 within the Group : Table 25. )
Table 26: Second Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Principles of Wireless Communications | 4 | 2 | 1 | 1 |
| 2 | Cloud and Edge Computing | 4 | 2 | 1 | 1 |
| 3 | Elective - 1 | 4 | 2 | 1 | 1 |
| 4 | Project | 4 | 0 | 0 | 4 |
| 5 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. | 4 | - | - | - |
| Total Semester Credit: | 16/20 | 26 Hrs./week | |||
M.Tech-Ph.D: After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note that there is a Summer Semester between II and III Semester. (please refer to Annexure-4)
Table 27: Third Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Embedded Systems and IoT | 4 | 2 | 1 | 1 |
| 2 | Elective –2 | 4 | 2 | 1 | 1 |
| 3 | Thesis – Part 1 | 8 | 0 | 0 | 8 |
| Cumulative of 32 Credits + Total Semester Credit: | 16 | 24 Hrs./week | |||
Table 28: Fourth Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Thesis – Part 2 | 16 | 0 | 0 | 16 |
| Cumulative of 48 Credits +Total Semester Credit : | 16 | 32 Hrs./week | |||
| Cumulative Degree Credits | 64 | - | |||
Table 29: List of Electives:
| Sr. No. | Subject Name |
|---|---|
| 1 | Introduction to Machine Learning (Sem-3) |
| 2 | Embedded System Security |
| 3 | Detection and Estimation Theory |
| 4 | Mobile and Wireless Security |
| 5 | Parallel and Distributed Computing (Sem-3) |
| 6 | Digital Signal Processing |
| 7 | Blockchain and Cryptocurrency |
| 8 | Intrusion Detection System |
| 9 | Energy Harvesting in wireless sensor networks |
| 10 | Data Management in Mobile and Sensor Networks |
| 11 | Independent Study |
Annexure-3.2
M. Tech. (IT) with specialization in
Cyber Laws and Information Security (CLIS)
The Laboratory/ Centers offering the Specialization: Network Security and Cryptography (NSC) Lab
Motivation:
- The needs of cyber security professionals are increasing exponentially to counter the various cyber-attacks in the world.
- CLIS is one of the strongest and well established specializations of the institute. One of the unique courses Master of Technology (M.Tech) in Cyber Laws and Information Security took its first batch of students in 2014 but originally started as Master of Science (M.S.) course in 2004.
- Research, Practical and Industry oriented teaching of the courses by our strong Faculty group.
- This course consists of varied subjects covering various aspects of Cyber laws and Information Security related topics which are essential to create a successful cyber security workforce for organizations.
- On demand and competitive Research oriented thesis by our students.
- Laboratories are made with necessary infrastructure.
(Please Note 1st Sem. common for all M.Tech.(IT) Specializations within the Group : Table 25. )
Table 30: Second Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Information Security Laws and Regulations | 4 | 2 | 1 | 1 |
| 2 | Network Security | 4 | 2 | 1 | 1 |
| 3 | Elective - 1 | 4 | 2 | 1 | 1 |
| 4 | Project | 4 | 0 | 0 | 4 |
| 5 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. | 4 | - | - | - |
| Cumulative of 16/20 Credits + Total Semester Credit : | 16/20 | 26 Hrs./week | |||
M.Tech-Ph.D: After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note that there is a Summer Semester between II and III Semester.. (please refer to Annexure-4)
Table 31: Third Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Cyber Physical System Security | 4 | 2 | 1 | 1 |
| 2 | Elective - 2 | 4 | 2 | 1 | 1 |
| 3 | Thesis – Part 1 | 8 | 0 | 0 | 8 |
| Cumulative of 32 Credits + Total Semester Credit : | 16 | 28 Hrs./week | |||
Table 32: Fourth Semester (for M.Tech)
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Thesis – Part 2 | 16 | 0 | 0 | 16 |
| Cumulative of 48 Credits + Total Semester Credit: | 16 | 32 Hrs./week | |||
| Cumulative Degree Credits | 64 | - | |||
Table 33: List of Electives:
| Sr. No. | Subject Name |
|---|---|
| 1 | Intrusion detection system |
| 2 | Information security risk management |
| 3 | Advanced cryptography |
| 4 | Blockchain Technology |
| 5 | Post- Quantum Cryptography |
| 6 | Information security audit |
| 7 | Social Cyber Security |
| 8 | Database security |
| 9 | Mobile and Wireless Security |
| 10 | Embedded System Security |
| 11 | Cyber Security and Digital Forensics |
| 12 | Independent Study |
Annexure-4
M. Tech.- Ph.D. (IT) the PhD Programme
as per Ph.D Ordinance
After the end of II Semester the M.Tech-PhD student moves into the Ph.D Section of the Degree and will be henceforth governed by the Ph.D ordinance. Please note the Summer Semester between II and III Semester.
Table 34: Summer Semester (for M.Tech-PhD)
| Sr. No. | Subject Name | Total Credit |
|---|---|---|
| 1 | Registration Colloquium: For this Colloquium, candidates are expected to finalise the Topic of research and to generate a report covering the possible Statement of the problem, Related literature, Relevance, Importance followed by presenting and defending the same before the Doctoral committee. | 8 |
| Cumulative of 40 Credits + Total Semester Credit : | 8 | |
IV Sem: Prerequisite: Successful completion of Registration Colloquium of Summer Semester and all course credits of Semester I & II.
Table 35: Third Semester (for M.Tech-PhD)
| Sr. No. | Subject Name | Total Credit |
|---|---|---|
| 1 | Research Problem Specific Course 1: (May be a Self-study course) (SuitableTitle to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes) | 4 |
| 2 | Research Problem Specific Course 2: (May be a Self-study course) (SuitableTitle to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes) | 4 |
| 3 | TRA Assignment – I(Assessment for the knowledge and depth of involvement) | 4 |
| 4 | Research Proposal Colloquium: (For this Colloquium, Candidate is expected to
freeze the Title of the Thesis and to generate a report covering the Proposed Statement of the
problem, State of the art Relevance/Importance, Proposed Methodology followed by presenting and
defending the same before the Doctoral committee. The title of the thesis along with the abstract of
the research plan, in about 300 words, shall then be communicated to the AAA section through
Dean(A&R), under the approval of the Chairperson Doctoral Committee). (Imp -Research Area - is broadly the area identified for Research within the branch of study. Topic of Research - is the focused theme identified within the Research Area. Thesis Title - would refer to the statement of the Research problem, within the scope of the identified Research Topic.) |
4 |
| Cumulative of 48 Credits + Total Semester Credit : | 16 | |
IV Sem: Prerequisite: Successful completion of Research Proposal Colloquium of III Semester together with all Course Credits upto the end of Semester III.
Table 36: Fourth Semester (for M.Tech-PhD)
| Sr. No. | Subject Name | Total Credit |
|---|---|---|
| 1 | TRA Assignment –II (Assessment for the knowledge and depth of involvement) | 4 |
| 2 | Research Problem Specific Course 3: (May be a Self-study course) (SuitableTitle to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes) | 4 |
| 3 | Research & Research Progress Colloquium I If the Thesis Title is required to be touched by way of alteration or modification, the same may be allowed by the Doctoral Committee provided the desired alteration/modification confirms to the requirement. This MUST however happen before the Progress Colloquium and duly certified in the Progress Colloquium. The same shall be required to be communicated to AAA Section through Dean (A&R )for recording. | 8 |
| Cumulative of 64 Credits + Total Semester Credit : | 16 | |
Table 37: Fifth Semester (for M.Tech-PhD)
| Sr. No. | Subject Name | Total Credit |
|---|---|---|
| 1 | TRA Assignment –III (Assessment for the knowledge and depth of involvement) | 4 |
| 2 | Research & Research Progress Colloquium II (Including authoring and presenting) | 8 |
| Cumulative of 80 Credits + Total Semester Credit : | 12 | |
Table 38: Sixth Semester (for M.Tech-PhD)
| Sr. No. | Subject Name | Total Credit |
|---|---|---|
| 1 | TRA Assignment –IV (Assessment for the knowledge and depth of involvement) | 4 |
| 2 | Research & Research Progress Colloquium III (Including authoring and presenting) | 8 |
| Cumulative of 92 Credits + Total Semester Credit : | 12 | |
Table 39: Seventh Semester (for M.Tech-PhD)
| Sr. No. | Subject Name | Total Credit |
|---|---|---|
| 1 | TRA Assignment – V (Assessment for the knowledge and depth of involvement) | 4 |
| 2 | Research & Research Progress Colloquium IV (Including authoring and presenting) | 8 |
| Cumulative of 104 Credits + Total Semester Credit : | 12 | |
VIII Sem Prerequisite: Successful completion of all 116 Credits till the end of VII Semester, as prescribed
Table 40: Eighth Semester (for M.Tech-PhD)
| Sr. No. | Subject Name | Total Credit |
|---|---|---|
| 1 | Teaching Assignment - IV (Teaching a course under Mentorship of a regular Faculty) | 8 |
| 2 | Pre Thesis Submission Colloquium (Open to all in the institute)
|
4 |
| Cumulative of 116 Credits + Total Semester Credit : | 12 | |
| Cumulative Degree Credits | 128 | |
Annexure-5
Ph.D. (IT) for M.Tech(IT) Graduands from IIIT-Allahabad
Some M.Tech(IT) graduates from the M.Tech programme at IIIT-Allahabad, have joined the Ph.D. Programme. The Full Time Doctoral Degree (Ph.D.) Program Ordinance 2018 of IIIT Allahabad allows such candidates with CGPI of more than 8.0 to be directly assessed through interaction/interview. The written examination is waived off. (page 3 of the Full Time Doctoral Degree (Ph.D.) Program Ordinance 2018 of IIIT Allahabad).
Such candidates selected through the regular Ph.D Selection interaction/interview; are already exposed to the research being conducted at IIITA and satisfy some prerequisites. This course structure will allow such students to come to par with the M.Tech.-Ph.D students in one Semester.
Table 41: First Semester
| Sr. No. | Subject Name | Total Credit | L | T | P |
|---|---|---|---|---|---|
| 1 | Research Methodology | 4 | 2 | 1 | 1 |
| 2 | Independent Study as advised by the Supervisor (MTech-PhD) This will be an Area Specific Depth Paper. Detailed Coursework appropriate to the chosen area of research. Suitable Title to be communicated by the Chairperson Doctoral Committee, for Grade Card purposes. |
4 | - | - | - |
| 3 | Registration Colloquium: For this Colloquium, Candidate is expected to finalise the Topic of research and to generate a report covering the possible Statement of the problem, Related literature, Relevance, Importance followed by presenting and defending the same before the Doctoral committee | 8 | - | - | - |
| Total Semester Credit : | 16 | - | |||
The M.Tech(IT) student from IIIT-Allahabad, will complete all additional credits/courses done by the dual degree M.Tech-Ph.D students in their I Semester. At the end of I Semester the student will have to clear the Registration Colloquium.
The student will move directly to the III Semester of the M.Tech-PhD programme Table 35. Annexure-4.
The student will have to clear a minimum 64 credits to complete the credit requirement for the Ph.D programme. Please note that the regular Ph.D. programme of the institute also requires the completion of 64 Credits.
The Minimum duration for the completion of the Ph.D. Programme will be 5 Semester (2.5 Years).
- Duration: The minimum duration of the program will be 2.5 years (5 Semesters).
- Scholarship: Scholarship will be paid for a maximum period of 05 years
- First year and Second year Ph.D.’s Junior Research Fellowship (JRF)
- Third year Senior Research Fellowship (SRF). The student will move SRF only after only after an assessment of his research work by the prescribed committee defined for the purpose (Doctoral Committee of the student which should include an external examiner). If the work by the student is not to the marks and unsatisfactory, the assessment committee may recommend the continuation of JRF or terminate the Fellowship.
- Financial support may further be extended to a maximum of 1 year. This will depend on the (i) strict assessment of the students research performans, with a final approval of the Chairman Senate.
- Course Fee: Same as regular Ph.D. programmes of the institute.
- Supervisor: To be fixed before the commencement of the first semester in accordance with the provisions of the PhD ordinance.
- Doctoral Committee: To be constituted before the commencement of the first semester in accordance with the provisions of the PhD ordinance.
Please Note:
Electives: Table 9, 13, 17, 21, 25, 29 and 33, provide a broad topic of Electives offered in each Specialization of all the 3 Groups. DPGC-IT can offer other approved courses as elective in any of the specializations.
The DPGC-IT’s recommendation will be sent through the DPGC-IT Chairman (HoD-IT) and the DPGC Convener to the AAA section for consideration. It will be binding on AAA to accept the Elective course.
“Independent Study” has been included as an elective in each of the Specializations of M.Tech(IT). A student taking this course has to request the instructor to take a-priori approval of the DPGC-IT.
- The request should justify the necessity why the offered electives will not be appropriate for the students M.Tech Research.
- Broad Structure of the independent study (in 4 Units) as provided for each course syllabus.
- Model of Assessment.
The DPGC-IT’s decision will be communicated through the DPGC-IT Chairman (HoD-IT) and the DPGC Convener to the AAA section. The Suitable Title of the course will be communicated, for Grade Card purposes.
“Independent Study –
This < Broad Title of the Topic> should be short enough to fit on the Grade Card.
Add-On Courses shall be floated as per rules
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