Currently, IIITK offers 3 M.Tech courses for the working professionals

• AI and Data Science
• Cyber Security
• CSE with Specialization in Big Data and Machine Learning

Course Mode: The programme features combination of live online classes, assignments and case-studies, online continuous assessment, virtual labs and offline end semester assessment conducted over weekends. Live recording, submission, and internal assessment will be under the in-house developed platform.

Course Venue: The classes, virtual lab sessions, and mid-semester exams shall be conducted in online mode. End Semester Exam, as well as Final Project Review, shall be conducted in Offline mode. The offline exam centres will be the Off-Campus centre in Trivandrum or Exam centres in Bangalore, Pune, and Allahabad/ Delhi, subject to the availability of sufficient candidates.
The time slot in which a course would be taught would be informed to students well in advance to help them in deciding electives.

+ Important Dates

Release of online application form	Oct 17, 2023
Last date for submitting online applications	Nov 17, 2023
Announcement of selection list for written test and interview	Dec 1, 2023
Date of written test and /interviews	Dec 1-4, 2023
Announcement of selected candidates	Dec 8, 2023
Last date for fee payment	Dec 18, 2023
Online verification	Dec 30, 2023
Registration	Jan 4, 2024
Commencement of classes	Jan 6, 2024

Courses Offered M.Tech. Programme

+ M.Tech. for Working Professionals (AI and Data Science)

The Indian Institute of Information Technology Kottayam (IIIT Kottayam) introduced M Tech programme in AI & Data Science for Working Professionals in Industry/R&D/Academics. The MTech programme is a self-paced programmes of 60 credits each that can be taken over 3 to 5 years. The number of credits earned by the candidates in the MTech programs is equivalent to the number of credits needed to be earned by the students of a full-time M.Tech programme.

Program Highlights
• The curriculum covers areas that prepare you for the most lucrative careers in the space of Data Science, Data Engineering, Machine Learning and Advanced Analytics.
• Classes are conducted by the IIIT Kottayam faculty who are world-class qualified and are engaged in research and contribute to the Indian/International society along with their wards.
• Benefit from Case Studies, Simulations, Virtual Labs & Remote Labs that allow learners to apply concepts to simulated and real-world situations
• Encourage and prepares engineers to present journal or conference publication during the programme period.
• The thesis (Project Work) in the final two semester enables students to apply concepts and techniques learnt during the programme.
• Course break is possible for those who go for onsite job.
• The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals.
• Can be extended to integrated PhD programme.
Eligibility Criteria
• A B.Tech. / B.E. / AMIE degree in any discipline or MCA or MSc / MS degree in CS / IT / Mathematics / Physics / Statistics with at least 60% aggregate in the degree examination.
• The candidate should be currently employed. Only the employment acquired after the award of the qualifying degree will be considered.
Curriculum
• Curriculum and Syllabus

+ M.Tech. for Working Professionals(Cyber Security)

Cyber security is a fast-moving field which requires thinking quickly and strategically to ward off data breaches and network takeovers. The M.Tech. program in Cyber security aims to have defensive and offensive techniques with a good balance between theoretical and practical aspects.

Program Highlights
• A perfectly balanced curriculum with emphasis on cyber security and related topics.
• Vibrant Faculty Community with Research and Industry Experience.
• Inhouse developed virtual platform for online live classes, virtual & remote labs.
• The project work in last two semesters will help the candidate to apply the concepts to current problems.
• Prepares the candidate for presenting their work in conference or as a journal publication.
• Course break is possible and the duration of the program is flexible up to 5 years.
• Academic calendar with all exam dates and assessment dates will be shared prior to the start of each academic year so that the candidate can plan their studies, work and travel accordingly.
• The program can be extended to integrated Ph.D. programme.
Eligibility Criteria
• A B.Tech. / B.E. / AMIE degree in any discipline or MCA or MSc / MS degree in CS / IT / Mathematics / Physics / Statistics with at least 60% aggregate in the degree examination.
• The candidate should be currently employed. Only the employment acquired after the award of the qualifying degree will be considered.
Curriculum
• Curriculum and Syllabus

+ M.Tech. in Computer Science with specialization in Big Data and Machine Learning

The curriculum covers big data analytics with a focus on machine learning. Special emphasis is given to the emerging ML technologies which enable decision-making, modelling, classification and prediction based on business intelligence. The students will be enabled to build big data solutions by participating in course project and related activities. The career prospects of students span from Data Science/ Data Engineering to Advanced Analytics.

Program Highlights
• A perfectly balanced curriculum with emphasis on Big Data, Machine Learning and related topics.
• Vibrant Faculty Community with Research and Industry Experience.
• Inhouse developed virtual platform for online live classes, virtual & remote labs.
• The project work in last two semesters will help the candidate to apply the concepts to current problems.
• Prepares the candidate for presenting their work in conference or as a journal publication.
• Course break is possible and the duration of the program is flexible up to 5 years.
• Academic calendar with all exam dates and assessment dates will be shared prior to the start of each academic year so that the candidate can plan their studies, work and travel accordingly.
• The program can be extended to integrated Ph.D. programme.
Eligibility Criteria
• A B.Tech. / B.E. / AMIE degree in any discipline or MCA or M.Sc. / MS degree in CS / IT / Mathematics / Physics / Statistics with at least 60% aggregate in the degree examination.
• The candidate should be currently employed. Only the employment acquired after the award of the qualifying degree will be considered.
Curriculum
• Curriculum and Syllabus



+ Selection Procedure

• Candidates must fill out an online application.
• Shortlisted candidates will have to take a written test and/or interview.
• Prior research exposure and/or industry experience in areas related to Artificial Intelligence/Data Science/Cyber Security will be considered a desirable aspect.
• The final selection of the candidate will be based on the performance in the written test, the interview, and any other criteria deemed suitable by the admission committee.
• The department reserves the right to set any cut-off criteria for shortlisting the candidates.

+ Application Fee

• The fee for online application is Rs. 500/- (Except for women/SC/ST Candidate).
• All Women candidates and Scheduled Castes (SC)/Scheduled Tribes (ST) candidates are required to pay Rs. 250/- towards the Application Fee.

+ Fee Structure

For the successful completion of the programme, the students have to complete 32 Course credits and 28 Project credits.

The course fee is Rs. 12,000/- per credit for the theory/lab courses and Rs. 5,000/- per credit for the project work.

The following are typical tuition fee figures to be paid by the students per semester for (1) AI & Data Science, (2) Cyber Security.

Semester	Credits	Fees
I	8	96000/-
II	8	96000/-
III	9	1,08,000/-
IV	7	84,000/-
V	14	70,000/-
VI	14	70,000/-
Total	60	5,24,000/-

The following are typical tuition fee figures to be paid by the students per semester for M.Tech in CSE with specialization in Big Data and Machine Learning.

Semester	Credits	Fees
I	9	1,08,000/-
II	7	84,000/-
III	10	1,20,000/-
IV	6	72,000/-
V	14	70,000/-
VI	14	70,000/-
Total	60	5,24,000/-

General Course Structure

+ M.Tech. in AI and Data Science

Course Code	Course	L-T-P	Credits
Semester I
DSC511	Statistical Foundations for Data Science	2-0-0	2
DSC512	Programming and Data Structures	2-0-2	3
DSC513	Introduction to Data Science	2-0-2	3
Semester II
DSC521	Mathematical Foundations for Data Science	2-0-0	2
DSC522	Artificial Intelligence Engineering	2-0-2	3
DSC523	Data Mining	3-0-0	3
Semester III
DSC611	Machine Learning: Principles and Practices	3-0-0	3
DSC612	Neural Networks and Deep Learning	3-0-0	3
DSC613	Big Data Analytics	2-0-2	3
Semester IV
DSC621	Data Visualization and Predictive Analytics	3-0-2	4
DSC622	Graphs Algorithms and Mining	2-0-0	2
DSC623	Business Analytics	1-0-0	1
Semester V
CSE711	Project (Stage 1)	--	14
Semester VI
CSE721	Project (Stage 2)	--	14
Total Credits			60

+ M.Tech. in Cyber Security

Course Code	Course	L-T-P	Credits
Semester I
CBM511	Mathematical Foundations for Cyber Security I	2-0-0	2
DSC512	Programming and Data Structures	2-0-2	3
CBM513	Computer Networks and Security	2-0-2	3
Semester II
CBM521	Secure Software Engineering	2-0-0	2
CBM522	Information Security and Applied Cryptography	2-0-2	3
CBM523/CBM524	Decision Support and Artificial Intelligence / AI, Machine Learning and Security	2-0-2	3
Semester III
CBM611	Cloud Computing and Security	2-0-2	3
CBM612/CBM613/CBM614	Advanced Database Security / Operating System Security / Secure Hardware Design	2-0-2	3
CBM615/CBM616	Blockchain Architecture and Applications / Network, Wireless, IoT, Mobile & Security	2-0-2	3
Semester IV
CBM621/CBM622	Intrusion Detection Systems and Firewall / Forensics, Malware, and Penetration Testing	3-0-2	4
CBM623/CBM624	Information Security Policies, Security Standards, Audits, Cyber Ethics, Privacy and Legal Issues / Legal Aspects of Computing	2-0-0	2
CBM623	Criminal Psychology and Behaviour Intelligence	1-0-0	1
Semester V
CBE711	Project (Stage 1)	--	14
Semester VI
CBE721	Project (Stage 2)	--	14
Total Credits			60

+ M.Tech. Computer Science and Engineering with Specialization in Big Data & Machine Learning

Course Code	Course	L-T-P	Credits
Semester I
DSC511	Statistical Foundations for Data Science	2-0-0	2
DSC512	Programming and Data Structures	2-0-2	3
DSC513	Introduction to Data Science	2-0-2	3
BML511	SQL, Next Generation Databases, and Big Data	1-0-0	1
Semester II
DSC521	Mathematical Foundations for Data Science	2-0-0	2
DSC523	Data Mining	3-0-0	3
BML521	Distributed Systems for Big Data Management and Processing	1-0-0	1
BML522	Big Data Visualization	1-0-0	1
Semester III
DSC611	Machine Learning: Principles and Practice	3-0-0	3
DSC612	Neural Networks and Deep Learning	3-0-0	3
DSC613	Big Data Analytics	2-0-2	3
BML611	Big Data Security	1-0-0	1
Semester IV
BML621	Cloud Computing for Big Data	1-0-2	2
BML622	Designing MLOps for Enterprises	2-0-0	2
BML623	AI and ML for Big Data	1-0-0	1
BML624	Realtime Big Data Analytics	1-0-0	1
Semester V
CSE711	Project (Stage 1)	--	14
Semester VI
CSE721	Project (Stage 2)	--	14
Total Credits			60

Contact:
Indian Institute of Information Technology Kottayam
Valavoor, Pala, Kottayam: 686635.
Ph: 0482-2202173 / 2137 / 2100
Email: pgacademics@iiitkottayam.ac.in/registrar@iiitkottayam.ac.in

For any further technical queries, please drop an e-mail to:
itsupport@iiitkottayam.ac.in or Contact 04822-202114

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Source: iiitkottayam.ac.in