Master of Computer Applications (MCA) – AI (Intel Integrated) Apprentice Embedded
Program Details
MCA in AI (Intel Integrated) Apprentice Embedded is a specialized 3-year postgraduate program focused on artificial intelligence, embedded systems, and practical apprenticeship training in collaboration with Intel. The course aims to develop expertise in AI algorithms, machine learning, and embedded device programming with hands-on industry experience.
Program Highlights
- Deep learning of AI concepts combined with embedded system design
- Apprenticeship model integrated with Intel’s industry projects and mentorship
- Training on programming languages like Python, C/C++, and tools such as TensorFlow, OpenCV
- Focus on real-time AI applications in embedded devices, IoT, robotics, and automation
- Exposure to hardware-software co-design and system optimization
- Soft skills, project management, and teamwork emphasis
Future Scope / Industry Trends
With AI and embedded systems increasingly driving innovations in smart devices, robotics, and IoT, demand for professionals skilled in both domains is surging. The apprenticeship model ensures job readiness with practical skills, making graduates highly employable in sectors like consumer electronics, automotive, healthcare, and manufacturing.
Career Opportunities
- AI Engineer
- Embedded Systems Developer
- Machine Learning Engineer
- IoT Developer
- Robotics Programmer
- Software Developer – Embedded AI
- Data Scientist
- Technical Consultant
Placements
Students benefit from direct industry exposure through Intel’s apprenticeship, enhancing placement opportunities in top tech firms, startups, and research organizations. Average starting salaries typically range from INR 5 to 12 lakhs per annum, depending on skills and company.
Fee Structure
| Year | Tuition Fees (INR) | Other Fees (INR) | Total Fees (INR) |
|---|---|---|---|
| 1st Year | 1,50,000 | 20,000 | 1,70,000 |
| 2nd Year | 1,50,000 | 20,000 | 1,70,000 |
| 3rd Year | 1,50,000 | 20,000 | 1,70,000 |
| Total | 4,50,000 | 60,000 | 5,10,000 |
Curriculum
| Semester | Subjects / Papers |
|---|---|
| 1st Semester | Programming Fundamentals, Discrete Mathematics, Data Structures, Computer Organization, Communication Skills |
| 2nd Semester | Object-Oriented Programming, Database Management Systems, Operating Systems, AI Basics, Software Engineering |
| 3rd Semester | Machine Learning, Embedded Systems Design, Neural Networks, Computer Networks, Python Programming |
| 4th Semester | Deep Learning, IoT and Sensors, Robotics Programming, Advanced Embedded Systems, Data Analytics |
| 5th Semester | Project Management, Cloud Computing, Natural Language Processing, Cybersecurity, Internship / Apprenticeship |
| 6th Semester | Capstone Project, AI Application Development, System Optimization, Seminar, Industry Training |
Eligibility
Bachelor’s degree in Computer Science, IT, Engineering or related fields with minimum 50% marks.
Some institutes may require entrance exams or aptitude tests.
Basic knowledge of programming and mathematics is essential.
Selection Criteria
- Performance in entrance exams or institute-level tests
- Personal interview and group discussion
- Academic record and relevant projects or experience
- Final merit list based on combined evaluation