Course Detail
M.Tech is a Masters degree in Technological field. The specialization in
'Information Retrieval' is completely related to information searching/ retrieving tools, their applications, efficiency, etc.
It is very creative and innovative field with great career option in the field of information retrieval and management for government, corporate, private and academic organizations.
Eligibility
M.Tech being a Masters degree, candidates holding bachelors degree with specialization in Computer science, Information technology, Computer Application, etc are eligible for this course. The minimum qualifying marks may vary from one institute to another and need to be checked before submission of application form.
Some institutes do not add any age restriction in eligibility criteria and thus keep it available for any age group even for professionals.
Duration
The duration for this course is 2 years after graduation in technical field like B.Tech or B.E. The duration can be 4 or 5 years if pursued after 12th as integrated course. It is 3 yeas if pursued after Diploma in same specialization.
Admission Procedure
M.Tech. is a technical course with many good career opportunities afterwards hence it has lots of completion which makes the admission very competitive. Most of the reputed institutes conduct entrance test for admission.
Apart from that, there is a national level entrance test names as GATE in which if a candidates secures good scores, he or she can get admission in top institutes like IITs, NIT, etc.
Further study options
After completion of this course, interested candidates can pursue PhD.- a research based doctoral course in Information Retrieval. This will give them an opportunity to read about many researches conducted in their field and to conduct their own research.
Course highlights
The course includes both theoretical as well as practical sessions and in the end of course, candidates need to conduct a short term project and submit the thesis based on the work they will do in their project.
The initial part of course includes topics like Boolean model of information retrieval, Tokenization, Normalization, Dictionaries and tolerant retrieval. Candidates also learn about Index construction and compression, vector space model, Data comparison, Evolution of information retrieval and XML Retrieval in detail. Language models for information retrieval like unigram model, Text classification (Content based and Request oriented) are important part of the syllabus.
Job aspects
These candidates are ideal for working in various big organizations working for Information Retrieval systems. They can also work in corporate, private and Academic firms where Information retrieval is always required.
M.Tech. Information Retrieval Admissions for 2025 - 2026 Academic Year
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