M.Tech Admission Jan 2027
Announcements
- Online interview for select MTech RA candidates will be conducted ONLINE on 25 November 2026 (Wednesday) from 9:00AM onwards. Depending on the number of candidates shortlisted for the interview, some interviews may be conducted on 26 November 2026 (Thursday). Shortlisted candidates will be intimated about the exact times of the interview via registered email.
- Written test will be conducted on the forenoon of 23 November 2026 (Monday), from 9:30AM to 11:00AM. The written test will be common to both MTech RA and PhD admissions, and will be based on topics covered in the GATE DA syllabus.
Overview
- Train students to understand the fundamentals of Artificial Intelligence and Machine Learning theory and practice.
- Enable students to become leaders in the industry and academia globally.
- Meet the nation’s pressing demands regarding trained Artificial Intelligence and Machine Learning professionals.
The Department of Artificial Intelligence has many highly dedicated and dynamic faculty members with various expertise. Currently, there are about 30 faculty members affiliated with the AI department, including four core faculty members. Candidates can discover faculty members’ profiles and teaching/research areas by visiting the department web page.
The Department of AI seeks talented and dedicated M-Tech students to develop highly skilled human resources who can contribute to modern, cutting-edge research and industrial demand in AI. The M-Tech students will have excellent laboratory facilities they can access anytime. The laboratories are equipped with state-of-the-art facilities, including software and hardware. All the laboratories are provided with internet connectivity.
Research Areas
- Deep Learning
- Autonomous vehicles
- Generative Models
- Speech systems
- Bayesian learning
- Robotics ML in astronomy
- Graphical models
- Game Theory and Mechanism Design
- Computer Architectures for AI
- AI and High-Performance Computing
- Fair and Explainable Machine Learning
- Computer vision
- Video quality assessment
- AI for agriculture
- Social media and text analysis
- Recommendation systems and data mining
- Inference algorithms
- Big data analysis
- AI and Internet of Things
- Natural Language Processing
- Neuromorphic AI
The AI Department is currently offering the following programme in the January 2027 admission cycle:
M.Tech (3 Year) Program
The 3-year MTech program at IITH has the same number of credits as the 2-year program (See the department website for more details), but it is more spread out to enable the students to focus more on research. The program has the following two components in the course curriculum.
- Coursework (24+2 credits)
- Thesis (24 credits)
Coursework
The AI curriculum provides a well-rounded, holistic introduction to machine learning theory and practice. Students can take a variety of courses, from fundamental theoretical courses to more advanced application-based ones. A course on English communication is also included, along with industry lectures.
Thesis
Students will work with supervisor(s) to contribute to high-quality research in AI.
Students who join the 3-year program will be assigned a supervisor at the time of joining. Students admitted to the regular 3-year M-Tech program are responsible for providing research and teaching assistance to their supervisor. The advantage of the regular 3-year MTech program is that students can gain greater research exposure. Students may be paid a stipend similar to (or higher than) that of the 2-year MTech students.
Eligibility criteria for Application
The applicant must have earned (or should be in the final year of) a full-time BTech/BE degree in any discipline or a part-time BS (4-year) degree in Data Science, or a full-time MSc (Math/Stats/Applied Math)/Equivalent degree. If the applicant is in the final year of the program, it is assumed that the applicant can complete the degree by the time of MTech admission. There are three modes of admission to the MTech (3-year, RA) program.
- Mode RA1: The candidate must have a valid GATE score in CS/EC/EE/DA/MA, besides the degree requirement.
- Mode RA2: Candidate must have a full-time B.Tech/BE degree in any discipline from any IIT with a CGPA of 8 and above, or a full-time MSc (Math/Stats/Applied Math)/Equivalent degree from any IIT with a CGPA of 8 and above (in this case, a valid GATE score is not mandatory). Note that applicants with only part-time degree(s) from IITs (e.g., BS in Data Science) are not eligible for this mode.
- Mode RA3: Besides a full-time B.Tech/BE degree in any discipline, or a full-time MSc (Math/Stats/Applied Math)/Equivalent degree, or a part-time BS (4-year) Data Science degree, the candidate must have 6 months of project experience in IITH (in this case, a valid GATE score is not mandatory).
Selection Process
For admission to the program through any mode, a preliminary shortlisting will be based on academic background and/or GATE score. Candidates who satisfy the shortlisting cutoff may need to appear for a written test and/or an interview. The decision to hold the test/interview will be taken based on the number of applications and other factors. The department will communicate that to the candidates at the appropriate time. In addition, the department reserves the right to set any cutoff for the shortlisting of MTech applications. The department cannot select anybody if no appropriate candidates are found. Note that mere eligibility does not imply that the candidate will be shortlisted or called for the written test/interview.
Application Process
IIT Hyderabad has a centralized online application portal for M-Tech admission. Candidates are requested to visit https://iith.ac.in/academics/post-graduate/ for the application format and the submission link. Applications will be accepted through this portal only.
For up-to-date information, please visit https://ai.iith.ac.in/
For any query, kindly write to ai_grad_admissions@iith.ac.in