M.Tech in CSE from any IIT across India has seen the maximum package offered to its students from all departments in campus placement.

Details listed below state an overview of M.Tech CSE from IIT Bhubaneswar.

Mentioned below are some statistics regarding the past placement records:

• In 2017-2018, CSE has seen a 52% placement, 62% in 2018-2019, and straight to 97% in 2019-2020, which is a huge increment.
• Batches of 2018 and 2019 have had complaints regarding placement and marked them as an average graded result. 
• The 2020 batch has seen a tremendous increase in both the count and the average CTC offered.
• The overall average in IIT Bhubaneswar is 15.8 lakhs in the last year, the average of CSE being even higher than that.
   

The current M.Tech in the CSE batch got exclusive opportunities in the R&D departments in companies. They got a decent package and a satisfying job at the same time.

Overall, IIT Bhubaneswar, though being a newer IIT and comes in priorities after IISc, ISI, older IITs, DTU, NSUT, etc. is still a decent option for M.Tech in CSE to get enough opportunities in reputed MNCs and grab a handsome salary package at the same time.

The general rank of 1430 (or a score of 624) is good enough to get colleges that are even better than ABV-IIITM Gwalior. With this rank, a candidate can get into NITs and many more institutes that have a much better curriculum and placement than ABV-IIITM Gwalior.

Here is a list of some of the best institutes which a rank of 1430 should expect for M.Tech in CSE.

• NIT Surathkal
• NIT Warangal
• NIT Trichy
• NIT Calicut
• NIT Allahabad
• DCE Delhi
• NSIT Delhi
• IIIT Bangalore
• IIIT Hyderabad

Among the above institutes, there is a good chance of getting an NIT seat in the spot rounds. Getting a call from IIIT Bangalore is definite. IIIT Hyderabad is also a very good choice, as its M.Tech in CSE is considered to be better than some IITs having 100% placement too.

ABV IIITM Gwaliordoes not offer an MTech in CSE. However, if you are interested in CS/IT, you can get good placements. Some students secured a 7-digit salary package in the same field from this institute. 

IEM Kolkatais known for its great placements. The Computer Science and Engineering department is one of the oldest departments in the Institute of Engineering and Management. Every year around 150 students in B.Tech (CSE) and 18 students in M.Tech (CSE) get admitted to the department. The college attracts very brilliant students because of the department reputation as well as the excellent placement records. IEM Kolkata B.Tech (C.S.E) provides around 95% Placements in 2020, with the highest salary packages 22 lacks, and lowest packages with 4 lakhs.

• For CSE, renowned companies such as TCS, Infosys, Wipro, Capgemini, IBM, Tech Mahindra, and so on come for picking up some talents. TCS, Wipro, and Infosys are the mass recruiters on the campus.
• The Placement Cell of the Institute of IEM, Kolkata has set a standard for its placement by providing a minimum one offer to each and every student who has taken admission in IEM, Kolkata. Placement starts from the month of August and usually continues throughout the year until May.
• In IEM, placement for CSE is almost 100% in 2019. The lowest package offered is around 3.6 LPA while the average package will be around 5-6 lakhs per annum. And the highest will be about 18 lakhs per annum. TCS comes for placement and offers around 8 LPA to 25-30 students.
• In 2017 the average package is around 3.85 lakhs, and the highest package is around 15.5 lakhs.

Overall the IEM gives good average placement in CSE. IEM placed an average of 97% of students in the last three years, with good salary packages.

Despite being a new IIT, the placement scenario at IIT Bhubaneswar is quite good and there has been a surge in placement rate in recent year. According to 2019 placement highlights, the overall placement rate at this IIT was around 90%. Whereas for M.Tech students the placement rate was 69%. For an M.Tech student in computer science engineering, the minimum package for the placement in this year was 9 lakhs per annum and the maximum was 24 lakhs per annum. A total of 89 companies took part in the placement drive including many MNCs and PSUs. Top recruiters were Amazon, Microsoft, Goldman Sachs, KPMG, L&T, Deloitte, Directi, IBM, Tesco, Samsung, Apple Inc, Adobe, etc. Apart from placement students also get great internship opportunities with good pays.

PES University in collaboration with Great Learning offers M. Tech in Data Science and Machine Learning on campus as a weekend classroom course. It is a 21-month course with placements and a degree from PES University itself. Details regarding curriculum, placements, as well as fee structure and eligibility, have been provided below.

Admission:

• For admission, students need at least 2 years of work experience.

• Final admission is based on the result of the admission test conducted and an interview with the Admission Director’s office.

A total of INR 5,90,000 is charged for a course of 21 months.

Program Curriculum:

• The program focuses on Python for data science which includes data handling, data structures, Numpy, etc.

• The course work includes an M. Tech thesis and an introduction to deep learning, big data analytics like batch processing, and neural networks.

• It also covers languages like SQL and Tableau as well as topics in machine learning and data visualization.

• It offers hands-on industry-relevant projects with mentorship and program managers.

Placements:

• Some of the top hiring partners at the institute include The Math Company, KPMG, Uber, Cognizant, American Express, Nielsen, etc.

• Most students can expect a salary hike of about 48% with an average salary package of 6.9 lakhs per annum and the highest salary package of INR 15.6 lakhs per annum.

Considering all the above aspects, students can expect a decent career outcome on the compilation of the course.