MCA with Artificial Intelligence and Machine Learning Akash Group of Institutions ,Devanhalli, Bangalore Overview
MCA with Artificial Intelligence and Machine Learning is a 2 Years year course at Akash Group of Institutions ,Devanhalli, Bangalore. To get admission in MCA with Artificial Intelligence and Machine Learning at Akash Group of Institutions ,Devanhalli, Bangalore, students must meet some eligibility requirements, that is Candidates must possess a Bachelor's degree in Computer Applications (BCA), Computer Science, or IT with minimum 50% aggregate marks (relaxation for reserved categories). Graduates with Mathematics at 10+2 or graduation level are preferred. Selection is based on merit in qualifying examinations or through the institute selection process. Basic programming knowledge and computer proficiency are expected. Candidates from other disciplines may need to meet additional eligibility requirements.. This program helps students with the necessary skills to build a successful career in the Computer Applications.
MCA with Artificial Intelligence and Machine Learning Akash Group of Institutions ,Devanhalli, Bangalore Highlights
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About MCA with Artificial Intelligence and Machine Learning
Program Duration
Full Time
, Years
Course Type
PG
, Computer Applications
Eligibility
Candidates must possess a Bachelor's degree in Computer Applications (BCA), Computer Science, or IT with minimum 50% aggregate marks (relaxation for reserved categories). Graduates with Mathematics at 10+2 or graduation level are preferred. Selection is based on merit in qualifying examinations or through the institute selection process. Basic programming knowledge and computer proficiency are expected. Candidates from other disciplines may need to meet additional eligibility requirements.
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MCA with Artificial Intelligence and Machine Learning Akash Group of Institutions ,Devanhalli, Bangalore Eligibility
Students who are seeking admission in
2 Years year
MCA / MCM MCA with Artificial Intelligence and Machine Learning program at the Akash Group of Institutions ,Devanhalli, Bangalore should meet the following eligibility criteria.
Candidates must possess a Bachelor's degree in Computer Applications (BCA), Computer Science, or IT with minimum 50% aggregate marks (relaxation for reserved categories). Graduates with Mathematics at 10+2 or graduation level are preferred. Selection is based on merit in qualifying examinations or through the institute selection process. Basic programming knowledge and computer proficiency are expected. Candidates from other disciplines may need to meet additional eligibility requirements.
Admission Open
Apply in Akash Group of Institutions ,Devanhalli, Bangalore Now!MCA with Artificial Intelligence and Machine Learning Fee Payment Options
Akash Group of Institutions ,Devanhalli, Bangalore fees for various courses should be paid by students at the time of counseling to confirm their admission:
- The payment of fees should be made either in cash or a Demand Draft issued in favor of Akash Group of Institutions ,Devanhalli, Bangalore.
- Candidates need to issue a draft in favor of the university to pay the course fee.
- The college also accepts Internet banking or payment through debit and credit cards.
- Candidates can directly transfer money from their bank account to the university's bank account through NEFT, RTGS, and IMPS without physically visiting the Akash Group of Institutions ,Devanhalli, Bangalore campus.
- Delay in fee payment can cause a fine as per Akash Group of Institutions ,Devanhalli, Bangalore rules and regulations.
Akash Group of Institutions ,Devanhalli, Bangalore Fees Inquiry
Contact Information for students to find out more about the Akash Group of Institutions ,Devanhalli, Bangalore Fees
- Admission Block Address - Prasannahalli Road, Devanahalli Town, Bangalore Rural
MCA with Artificial Intelligence and Machine Learning Placement in Akash Group of Institutions ,Devanhalli, Bangalore
Akash Group of Institutions ,Devanhalli, Bangalore Program Offered
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Prasannahalli Road, Devanahalli Town, Bangalore Rural
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