Ph.D. in Management 

at Kongu Engineering College, Erode

The 2025 placement drive is still in progress. So far, 73 companies visited the campus. A total of 447 offers have been rolled to the 441 students placed. The complete placement report for 2024 has been released. The key highlights related to Kongu Engineering College placements 2024 are tabulated below:

Particulars	Placement Statistics (2024)
Total offers	1,612
Students placed	1,235
Companies visited	310
Popular recruiters	Maersk, Mallow Technologies, Tata Elxsi

Kongu Engineering College BTech cutoff 2024 has been concluded via TNEA counselling. As per the TNEA 2024 last-round cutoff, the closing ranks varied between 15622 and 52833 for the General AI category students. The cutoff was relased for BE/ BTech across multiple specialisations of which B.E in Computer Science and Engineering was the most competitive one. The least in-demand specialisation was B.Tech. in Food Technology. Candidates can refer to the table bleow to view the Kongu Engineering College branch-wise cutoff 2024 for TNEA: 

Course	TNEA Last Round Cutoff 2024
B.E. in Electronics and Communication Engineering	20797
B.E. in Electrical and Electronics Engineering	30520
B.E. in Computer Science and Engineering	15622
B.Tech. in Information Technology	24790
B.E. in Mechanical Engineering	48267
B.Tech. in Chemical Engineering	48294
B.E. in Civil Engineering	47499
B.E. in Electronics and Instrumentation Engineering	38322
B.Tech. in Food Technology	52833
B.E. in Mechatronics Engineering	50532
B.Tech. in Artificial Intelligence and Data Science	21951
B.Tech. in Artificial Intelligence and Machine Learning	27436
B.E. in Computer Science and Design	29211

The college offers various courses at UG, PG and doctoral levels such as B.E./BTech, MCA, MBA M.E./ MTech, BSc and others. Candidates who have completed Class 12 are eligible to apply for UG courses. Graduation is required to apply for the PG courses. Additionally, candidates, need to appear for TNEA counselling for admission to B.E./BTech and CEETA-PG/GATE, and TANCET for admission to MTech, MBA, MCA courses, respectively.

Yes, Kongu Engineering College ccepts various entrance exams for admission to UG and PG courses. The college offers two UG i.e., BTech/B.E. and BSc and four PG courses i.e., M.E., MCA, MBA and MSc. For admission to BSc and MSc, the college offers merit-based admission. Further, the college accepts TNEA counselling for admission to BTech/B.E. and TANCET, GATE, and CEETA for admission to MBA, MCA and M.E./MTech, respectively. After filling out the admission criteria set by the college, candidates are required to apply to the official website of their respective entrance exam and fill out the admission form.

Yes, admission is open to Kongu Engineering College for all UG, PG and PhD courses through TNEA, GATE, CEETA and TANCET, respectively. Further, for BSc and MSc, candidates are selected based on the last qualifying exam score. Interested candidates can visit the official websites of TNEA Counselling and TANCET to apply for the BTech and PG courses, respectively.

{Source: B.Sc. students & alumni}

Based on the reviews and feedback from students and alumni, here's what we've found:

* High Placement Rate: With a placement rate of around 90-95%, students from KEC-Kongu Engineering College are confident in securing jobs after graduation.
* Good Salary Packages: The average salary package offered ranges from INR2 LPA to INR9.5 LPA, making it a competitive option in the job market.
* Excellent Infrastructure: The college has modern facilities, including air-conditioned labs, libraries, hostels, and recreational spaces, providing a comfortable learning environment.
* Supportive Faculty: Reviewers praise the faculty members' commitment to helping students, citing their willingness to guide and mentor them throughout their academic journey.
* Industry-Ready Curriculum: The course curriculum is designed to prepare students for real-world challenges, incorporating hands-on training, project work, and industrial interactions.
* Internship Opportunities: Many students have reported receiving internships during their summer breaks, providing valuable work experience before graduating.

While no programme is perfect, overall, the B.Sc. programme at KEC-Kongu Engineering College appears to offer a strong foundation for students looking to pursue careers in computing and related fields.

During the 2024 KEC Erode placements, the college witnessed the participation of companies from diverse sectors. Some of the renowned companies were Presidio, Honeywell, JSW, Federal Bank, Brakes India, ITC - Printing & Packaging, Yokogawa, Avasoft, Saint-Gobain, and many others.

KEC - Kongu Engineering College is a good institution for Ph.D, M.Sc, B.Sc, B.E. / B.Tech, M.E./M.Tech, MBA/PGDM, MCA courses, and these programs are delivered by highly experienced faculty. Major specialisation at KEC - Kongu Engineering College are Civil Engineering, Electronics & Communication Engineering, Chemical Engineering, Computer Science Engineering, Electrical Engineering, Instrumentation Technology, Information Technology, Mechanical Engineering, Mechatronics Engineering, Computer Science, Communications Engineering, Construction Engineering, Power Engineering, Food Technology, Structural Engineering, VLSI Design, Artificial Intelligence & Machine Learning, Automobile Engineering, Electronics Engineering.

Kongu Engineering College admission to some UG and PG courses is based on TNEA Counselling and TANCET, CEETA, and GATE entrance exams, respectively. However, for BSc and MSc, the college offers admission based on the last qualifying exam. Further, to be eligible for admission, candidates also need to pass Class 12 for admission to UG courses and a graduation degree for admission to PG courses, respectively.

The cutoff marks for admission to Kongu Engineering College (KEC) in 2024 range from 24,705 to 75,324 ranks in the TNEA (Tamil Nadu Engineering Admissions) system. Specific cutoffs can vary by branch, with more competitive programs, such as B.Tech in Artificial Intelligence and Machine Learning, potentially having higher requirements.