Apply for BCA AI/ML programs in Haryana/Delhi NCR for 2026-27 admissions

Apply for BCA AI/ML programs in Haryana/Delhi NCR for 2026-27 admissions

In short

  • The Bachelor of Computer Applications (BCA) with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) is a three-year undergraduate program.
  • Geeta University requires candidates for its BCA AI and ML course to have 10+2 or equivalent with at least 50% marks or a Diploma in Commercial Practice with 50% marks.
  • Popular job roles after completing a BCA in AI & ML include AI developer, data analyst, and machine learning engineer.
  • Haryana hosts over 100 AICTE-approved engineering colleges, with Delhi NCR offering numerous technology companies for internships and placements.
  • Admission to BCA AI & ML programs at Geeta University involves online or offline application, document submission, and fee payment.

Students who have completed Class 12 are increasingly seeking Bachelor of Computer Applications (BCA) programs with specializations in Artificial Intelligence (AI) and Machine Learning (ML) for the 2026-2027 academic year. This trend is observed across Haryana and the Delhi NCR region, driven by a growing interest in AI and ML careers, the demand for AI professionals, and the availability of industry-oriented education.

The demand for professionals with expertise in AI, Machine Learning, Data Analytics, and Cloud Computing continues to grow as organizations integrate AI-powered technologies across various sectors, including healthcare, banking, cybersecurity, and e-commerce. Haryana is emerging as a significant hub for technical education, benefiting from its connectivity to Delhi NCR, expanding industries, and modern educational institutions, which also offer lower tuition and living costs compared to major metropolitan areas.

BCA AI & Ml Program Structure and Eligibility

The BCA with a specialization in Artificial Intelligence and Machine Learning is a three-year undergraduate program designed to provide students with foundational knowledge and practical skills in these rapidly evolving fields. Key subjects typically covered include programming languages, database management systems, software engineering, data structures, algorithms, computer networks, deep learning, machine learning, neural networks, big data technology, data mining, natural language processing, and statistics.

For instance, Geeta University’s BCA AI and ML Course curriculum encompasses machine learning methods, deep learning, computer vision, natural language processing, and robotics. Eligibility criteria for this program at Geeta University require candidates to have passed 10+2 or an equivalent examination with at least 50% marks, or possess a Diploma in Commercial Practice with 50% marks. Similarly, JIET, affiliated with Kurukshetra University (NAAC A++) and approved by AICTE, requires students to have passed 10+2 (any stream) with Mathematics or Computer Applications as one of the subjects for its BCA program, which also includes AI and Digital Marketing following the New Education Policy (NEP).

Admission Process and Career Prospects

The admission process for BCA AI & ML programs generally involves applying online or offline, submitting necessary documents, and paying an admission fee. At Geeta University, candidates must fill out the application form, submit their 12th marksheet, ID proof, and other required documents at the campus, and then pay the admission fee to confirm their seat. Admissions at JIET are based on merit and academic performance.

Upon completion of a BCA in AI & ML, graduates can pursue various job roles. Popular career paths include AI developer, business intelligence analyst, data analyst, automation engineer, software developer, or machine learning engineer. Expected salary trends for AI careers vary with experience:

Experience Level Expected Salary
Fresher ₹5 – ₹10 LPA
2–4 Years ₹10 – ₹18 LPA
Experienced Professionals ₹20+ LPA

Prominent Institutions in Haryana and Delhi NCR

Haryana is home to over 100 AICTE-approved engineering colleges, contributing to its growing reputation as a hub for technical education. Institutions like NIT Kurukshetra, a government institution established in 1963, and SRM University Delhi NCR Sonepat, which offers B.Tech branches in CSE, AI/ML, and Data Science, are among the options available. The IITM Group of Institutions (IITM Murthal) also provides CSE with specializations in AI/ML, Data Science, and Cyber Security.

The Delhi NCR region further enhances opportunities with thousands of technology companies, offering internship and placement avenues. Several universities in Delhi NCR provide BCA programs with AI-related learning pathways. These include Amity University, Noida, which focuses on theoretical understanding and practical implementation; Bennett University, Greater Noida, emphasizing innovation and entrepreneurship; Galgotias University, Greater Noida, with a focus on employability and industry certifications; and Sharda University, Greater Noida, attracting a diverse student body with programs in AI and data-driven computing. Manav Rachna University, Faridabad, offers an industry-linked curriculum and practical learning opportunities.

Rank University Location AI Focus Areas Approximate Program Fees Placement Potential
1 Amity University Noida AI, ML, Data Science Premium Strong
2 Bennett University Greater Noida AI, Analytics Premium Strong
3 Galgotias University Greater Noida AI, Cloud, ML Moderate Strong
4 Sharda University Greater Noida AI, Data Analytics Moderate Good
5 Manav Rachna University Faridabad AI & Data Science Moderate Good
6 IMS Noida Noida AI Applications Moderate Good
7 K.R. Mangalam University Gurugram AI & ML Moderate Good
8 GD Goenka University Gurugram AI & Data Science Moderate Good
9 Geeta University NCR Region AI & Machine Learning Budget-Friendly Growing
10 Lingaya’s Vidyapeeth Faridabad AI & Cloud Technologies Budget-Friendly Growing

Further reading


Nishit Kumar
Written by

Nishit Kumar is a senior EdTech industry leader with over a decade of experience in building and scaling education platforms, shaping their product, content, and growth strategy. At FindMyCollege, Nishit oversees content and editorial strategy, guiding topic selection and content frameworks to ensure accuracy, relevance, and student-first value across the website.

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