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Master of Computer Applications [MCA]

at Quantum University

All courses

Fees

Fees at Quantum University for the Bachelor of Technology [B.Tech] in Computer Science and Engineering program range from 4.5 to 6.5 lakhs for the entire course, depending on the selected specialization and other factors. The annual tuition fee is approximately Rs. 1,25,000 to Rs. 1,49,000, including extra fees such as registration, exam, and laboratory charges. The university typically implements a fee hike of 5% per year. Hostel fees are detailed at Rs.

90,000 for non-AC accommodation, with AC options available at increased rates. Scholarships are awarded based on several criteria, including performance in the university's Q-CARE exam, JEE ranks, and class 12th marks, potentially offering up to a full fee waiver for high achievers. Additionally, Uttarakhand state students may receive domicile concessions, while merit-based scholarships can provide up to Rs. 30,000 in the first year.

About Master of Computer Applications [MCA]

MCA (Artificial Intelligence & Machine Learning) is a 2-year full-time postgraduate program designed for graduates seeking specialized expertise in artificial intelligence, machine learning, and data science. The program emphasizes both theoretical knowledge and practical skills in areas such as machine learning algorithms, deep learning, natural language processing, computer vision, and data analytics. With total fees of 2.31 lakhs for the entire duration, this program prepares students for careers in AI research, machine learning engineering, data science, and AI-driven technology development. The program is popular among science and non-science graduates who aspire to work in emerging AI technologies, develop intelligent systems, or establish AI-based ventures.

Admission Status: Admissions for MCA (AI & ML) are currently ongoing at Quantum University. The university conducts admissions throughout the year based on merit and entrance exam scores. The admission process is merit-based and transparent, with multiple opportunities for candidates to secure admission. The university accepts applications from graduates in any stream.

Key Points

  • Specialized curriculum focusing on machine learning algorithms and artificial intelligence techniques
  • In-depth study of deep learning, neural networks, and advanced AI concepts
  • Hands-on training in popular ML frameworks like TensorFlow, PyTorch, and scikit-learn
  • Access to high-performance computing laboratories for AI and ML projects
  • Mentorship from faculty with expertise in artificial intelligence and machine learning
  • Opportunity to work on real-world AI and ML projects with industry applications

Quantum University MCA Fees

The MCA (AI & ML) program at Quantum University involves structured fee payments across the 2-year duration. The total investment for the program is 2.31 lakhs, which includes tuition fees and miscellaneous charges. This fee structure is designed to be transparent and manageable, with payments spread across the program duration.

Fee Structure

Fee ComponentYear 1 (Rs.)Year 2 (Rs.)Total (Rs.)
Tuition Fees115,500115,500231,000
Total Fees115,500115,500231,000
  • Fees are refundable as per university policy.
  • Additional charges may apply for hostel accommodation (optional).
  • Payment can be made in installments.
  • Scholarships are available based on merit and entrance exam performance.

Quantum University MCA Admission 2026

The MCA (AI & ML) program at Quantum University follows a merit-based admission process. Candidates are evaluated based on their academic performance and entrance exam scores. The university conducts admissions throughout the year, providing multiple opportunities for candidates to secure admission. The admission process is transparent and student-friendly.

Important Dates

EventTimeline
Application SubmissionOngoing throughout the year
Entrance Exam/Merit EvaluationAs per university schedule
Result DeclarationWithin 15-20 days of exam
Admission ConfirmationUpon fee deposit

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Candidates must have completed Graduation (Bachelor's degree) from a recognized university in any stream
  • Minimum 50% aggregate marks in graduation (45% for SC/ST candidates as per university norms)
  • Preference given to candidates with background in mathematics, computer science, or engineering

Admission Process

  • Fill the online application form on the university portal with personal and academic details
  • Pay the application fee of Rs. 1,200 through online payment gateway
  • Appear for entrance examination or merit-based evaluation as per university guidelines
  • Receive results within 15-20 days of examination
  • Deposit the first installment of fees upon receiving the Provisional Letter of Admission
  • Complete document verification and receive the Confirmation Letter of Admission

Quantum University MCA Scholarships 2026

Quantum University offers merit-based scholarships for MCA students based on entrance exam performance and academic excellence. Scholarships are awarded to deserving candidates to support their educational journey. The university also provides need-based financial assistance for eligible students.

Scholarship Details

Scholarship TypeEligibilityBenefits
Merit ScholarshipEntrance Exam Score 70% and aboveUp to 50% tuition fee waiver
Excellence ScholarshipEntrance Exam Score 80% and aboveUp to 100% tuition fee waiver
Need-Based ScholarshipFinancial hardship with good academicsPartial fee assistance
Performance ScholarshipExcellent performance in first semesterUp to 25% fee waiver for next semester
  • Scholarship amounts are subject to university policies and availability of funds.
  • Scholars must maintain satisfactory academic progress.
  • Application for scholarships can be made during admission or after enrollment.

Quantum University MCA FAQs

Q1: What is the focus of MCA (AI & ML) specialization?

Ans. MCA (AI & ML) specialization focuses on machine learning algorithms, artificial intelligence techniques, deep learning, and data science. It prepares students to develop intelligent systems, work with AI applications, and solve complex problems using machine learning. The program emphasizes both theoretical concepts and practical implementation of AI and ML technologies.

Q2: What programming languages are used in MCA (AI & ML)?

Ans. The program covers multiple programming languages including Python (primary language for ML), R, Java, and C++. Students also learn popular ML frameworks like TensorFlow, PyTorch, scikit-learn, and Keras. Python is extensively used for machine learning and data science projects.

Q3: What are the career prospects after MCA (AI & ML)?

Ans. Graduates can work as machine learning engineers, AI researchers, data scientists, AI consultants, or establish their own AI-based ventures. Many work in multinational tech companies, startups, research organizations, and government AI initiatives. The demand for AI and ML professionals is rapidly growing across industries.

Q4: Is prior experience in AI or ML required for admission?

Ans. Prior experience in AI or ML is not mandatory for admission. However, candidates with background in mathematics, computer science, or programming may find it easier to grasp the concepts. The university provides foundational support to students from non-AI backgrounds.

Q5: What are the practical components of the MCA (AI & ML) program?

Ans. The program includes hands-on projects, internships, and capstone projects involving real-world AI and ML applications. Students work with datasets, develop ML models, and implement AI solutions. Practical experience is crucial for understanding industry applications of AI and ML.

Q6: What is the placement record for MCA (AI & ML) graduates?

Ans. Quantum University has a strong placement record for MCA (AI & ML) graduates due to high demand for AI and ML professionals. The university maintains connections with tech companies, startups, and research organizations. Many graduates are placed in leading IT companies and AI-focused organizations with competitive salaries.