The LNM Institute of Information Technology

LNMIIT provides a range of PhD specialisations for students to select from. Listed below are all the PhD courses offered by the institute:

• PhD in Computer Science and Engineering
• PhD in Electronics and Communication Engineering
• PhD in Physics
• PhD in Mathematics
• PhD in Humanities and Social Sciences
• PhD in Communication and Computer Engineering
• PhD in Mechanical-Mechatronics Engineering

LNM Institute of Information Technology offers a two-year MS programme with three specialisations. Upon graduating from this programme, students can apply for job profiles such as Software Engineer, Data Engineer, Electronics Engineer, Data Scientist, Electrical Engineer, and more. Students who do not have work experience in relevant fields can expect to get a salary ranging from INR 6 LPA to INR 7 LPA. Moreover, students who wish to start something of their own can take up the entrepreneurial road. However, they may have to consider enrolling in an MBA to learn about Management and business development.

Yes, upon completing the LNM Institute of Information Technology MS degree, students can apply for jobs in the public sector of India. Indian Railways, ONGC, BHEL, ISRO,  are some of the reputed government companies that recruit engineering students. Also, check out the below list to know some of the prospective government jobs along with their average salaries:

• Developer: NR 6 LPA to INR 11 LPA
• Research Assistant: INR 5 LPA to INR 7 LPA
• VLSI Design Engineer: INR 8 LPA
• Software Engineer: INR 7 LPA to INR 8 LPA

Note: The above-mentioned are industry-based average payouts. The actual salary may differ.

Yes, in case a student decides to withdraw his/her MS admission from LNMIIT, he/she is entitled to a fee refund. However, the amount of refund is subject to certain conditions. Moreover, students must note that in order to avail refund, they must fill out the Online Refund Request form by logging into their student account made at the time of application stage.

As per the official website, the requests are processed within fifteen working days after receiving the refund request. Check out the below table to know the refund amount:

The total cost to pursue the LNM Institute of Information Technology MS programme is inclusive of several components, some of which need to be paid only once at the time of admission. The other components need to be paid semester-wise/yearly. The fee structure of LNMIIT MS courses is given below:

Note: The above-mentioned fee is as per the official sources. However, it is indicative and subject to change.

Yes, at LNM Institute of Information Technology, students who have a valid GATE score are offered multiple scholarships. Firstly, GATE-qualified students can avail scholarships offered by AICTE. Other than this, students are also eligible for a monthly stipend provided by the university. The university offers INR 28,510 per month to students with a valid GATE score.

Yes, students enrolled in the LNM Institute of Information Technology MS programme are offered multiple scholarships. These scholarships are offered to meritorious and deserving students. Students who have a valid GATE score are eligible for AICTE scholarships. Other than this, MS students are also eligible for a monthly stipend provided by the institute. The amount of stipend differs for GATE and no GATE students.

Yes, the LNM Institute of Information Technology MS syllabus requires students to complete a summer internship programme. Moreover, they are allowed to choose the company and industry of their choice, given that it is relevant to their degree. Once the internship is completed, they must also submit a project report highlighting their learnings.

LNM Institute of Information Technology MS curriculum is divided into a semester pattern. During the two-year course duration, students are required to study various types of courses, such as core, programme electives, etc. Listed below are some of the subjects to be studied as part of the programme:

• Advanced Data Structures & Algorithms
• Mathematical Structures for Engineers and Algorithms
• Machine Learning & Pattern Recognition
• Technical Writing and Research Methodology