

B.E. in CSE (Artificial Intelligence and Machine Learning)
- Private Institute
- Estd. 2003
B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Overview
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Seat breakup | 60 |
Type of University | Private |
B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Frequently Asked Questions
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B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Placements
B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Entry Requirements
B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Admission Process
Important Dates
B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Cutoffs
KCET round-wise cutoff Rank: (General-All India)
Round | 2025 |
---|---|
1 | 104163 |
2 | 138826 |
3 | 242818 |
KCET round-wise cutoff Rank: (General-Home State)
Round | 2025 |
---|---|
1 | 107129 |
2 | 175636 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
Round | 2025 |
---|---|
1 | 110476 |
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Offered by Jain Deemed -to- be University, Faculty of Engineering and TechnologyB.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Students also asked

Some of the top recruiters that have visited the Harsha Institutions campus for placements are as follows:
- Dell Technologies
- Cipla
- Global Hospitals
- Wexford Laboratories
- NSDC, and more

Candidates who wish to take admissions into the Harsha Institutions MBA course are required to appear for the Karnataka PGCET entrance exam. The Karnataka PGCET entrance exam is usually scheduled in the month of June with registrations opening betweenthe months of April and May. The counseling rounds of the Karnataka PGCET exam is where candidates are required to lock Harsha Institutions as their choice to gain admissions.

The Master of Computer Applications (MCA) programme at Harsha Institutions covers a wide range of technical disciplines, including operating systems, database administration, and computer programming. The curriculum offered by the institution is excellent, but placement data for the MCA programme is few.
According to the data that is currently available, MCA graduates frequently have a decent placement history. While the organisation has witnessed IT companies participating in university placements, exact data about placement rates and remuneration packages are not accessible to the general public.
In order to provide a more comprehensive assessment and to acquire firsthand information regarding the placement outcomes specifically for MCA students, it would be beneficial to get in touch with the institution or recent alumni.

According to a student at Harsha Institutions, the faculty at the school and college of nursing is very good at providing theoretical and practical knowledge and guidance. The faculty also tries to ensure that students have a deep understanding of the topics being taught. Some faculty members at Harsha Institutions include:
Associate Professors: Steby C Babu, M.Sc (N), Paediatrics; Ms. Tabassum Bhat, BSC (N)
Nursing Tutors: Divyashree, Ms. Swetha G N, Ms. Manasa B N, Bhuvana S, Soundarya M, BCA, Admin
Other faculty members: Mrs. Susan Samuel, M.Sc (N) in Psychiatric Nursing; Prof. Dhanpal H N, M.Sc (N) in Psychiatric Nursing; Mr. Chikke Gowda H N, M.Sc (N) in Community Health Nursing;
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B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions News & Updates




B.E. in CSE (Artificial Intelligence and Machine Learning) at Harsha Institutions Contact Information
No. 7380, Byraveshwara Nagar, Dadapeer Layout, Sondekoppa Circle, Nelamangala
Bangalore ( Karnataka)
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