The MCA programme, as a whole, offers a holistic approach towards grooming technologically adept professionals who are not only well-versed in fundamental computing concepts but also proficient in cutting-edge technologies driving the digital age. The specialisation in Artificial Intelligence & Data Science delves into the realms of machine learning, deep learning, data mining and analytics, empowering students with the skills to decipher complex data patterns and derive meaningful insights crucial for informed decision-making in today’s data-driven world.
On the other hand, the specialisation in Internet of Things (IoT) and Cyber Security Including Blockchain Technology focuses on the inter-connectedness of devices, cybersecurity protocols and the revolutionary potential of Blockchain. Students delve into IoT architectures, protocols and security frameworks while also exploring the transformative capabilities of Blockchain technology in securing data and revolutionising various industries.
Through a blend of theoretical knowledge and practical application, our MCA programme and its specialised tracks aim to nurture adept professionals capable of tackling the dynamic challenges of the digital era. Our distinguished faculty, state-of-the-art infrastructure and industry-aligned curriculum ensure that graduates are well-equipped to navigate the complexities of the tech landscape and contribute meaningfully to innovation and development across diverse sectors.
Join us at Apeejay Stya University to embark on an exhilarating academic journey that fosters innovation, critical thinking and technological prowess, shaping the leaders of tomorrow in the field of computer applications and cutting-edge technologies.
















| UG Programmes | Duration | Eligibility |
|---|---|---|
| MCA (Master of Computer Applications) | 2 years | 50% marks either in BCA/Bachelor Degree in Computer Science or equivalent OR B.Sc./B.Com/B.A with Mathematics at 10+2 level or at Graduation level (with additional Bridge courses as per the norms of the concerned University) |
| MCA with specialisation in Artificial Intelligence & Data Science | 2 years | 50% marks either in BCA/Bachelor Degree in Computer Science or equivalent OR B.Sc./B.Com/B.A with Mathematics at 10+2 level or at Graduation level (with additional Bridge courses as per the norms of the concerned University) |
| MCA with specialisation in Internet of Things and Cyber Security Including Block Chain Technology | 2 years | 50% marks either in BCA/Bachelor Degree in Computer Science or equivalent OR B.Sc./B.Com/B.A with Mathematics at 10+2 level or at Graduation level (with additional Bridge courses as per the norms of the concerned University) |
The two-year Post Graduate programme in MCA with a specialisation in AI & DS, IoT Cyber Security, and Blockchain integration is meticulously designed to provide comprehensive training in cutting-edge technologies. Comprising a robust curriculum, it includes a spectrum of core courses, specialised modules and a multi-disciplinary approach aligned with the National Education Policy (NEP). This programme prioritises hands-on learning, integrating value-added components such as skill enhancement workshops, industrial training and substantial internship opportunities. Through this holistic approach, students gain practical exposure and in-depth knowledge, preparing them to tackle real-world challenges in the rapidly evolving tech landscape while meeting the demands of the industry.
| Semester | Course Code | Title of the Paper | Credits | Multidisciplinary, Skill Enhancement (SEC), and Ability Enhancement Courses (AEC) | Credits | Total Credits |
| I | DSC1 | 4 | SEC-1 | 3 | 26 | |
| DSC2 | 4 | VAC-1 | 3 | |||
| DSC3 | 4 | Minor-1 | 4 | |||
| DSC4 | 4 | |||||
| 2 | DSC5 | 4 | SEC-2 | 3 | 25 | |
| DSC6 | 4 | Elective-01 | 4 | |||
| DSC7 | 4 | AEC-1 | 2 | |||
| Minor-2 | 4 | |||||
| Note PG 1st year: Students will be awarded Post Graduate Diploma in Computer Application after securing 40 credits, provided, they secure 4 credits in vocational courses offered during the summer term/internship in addition to 6 credits from skill-based courses offered during the first year | ||||||
| 3 | DSC8 | 4 | SEC-3 | 3 | 27 | |
| DSC9 | 4 | Elective-02 | 4 | |||
| DSC10 | 4 | Elective-03 | 4 | |||
| Minor-03 | 4 | |||||
| 4 | Research Work (Industrial Training) | 16 | 16 | |||
| 94 | ||||||
| Course | Credits | Title of the Paper |
| DSC1 | 4 | Mathematical Foundations (3-1-0) |
| DSC2 | 4 | Programming with Python (3-0-2) |
| DSC3 | 4 | Advanced Operating System |
| DSC4 | 4 | Data Communication and Networks |
| DSC5 | 4 | Advanced Data Structures (3-0-2) |
| DSC6 | 4 | Probability and Combinatorics (3-0-2) |
| DSC7 | 4 | Advanced Database Management System |
| DSC8 | 4 | Analysis Design and Algorithm (3-0-2) |
| DSC9 | 4 | Statistical Computing -R Prog (3-0-2) |
| DSC10 | 4 | Artificial Intelligence & Machine Learning (3-0-2) |
| SEC-01 | 3 | Web Development using Django Framework |
| SEC-02 | 3 | NoSQL Database – MongoDB |
| SEC-03 | 3 | Mobile App Development |
| Elective-01 | 4 | Blockchain Fundamentals |
| Cyber Security | ||
| Cloud Computing | ||
| Elective-02 | 4 | Network and Web Security |
| Computer Vision | ||
| Software Engineering | ||
| Elective-03 | 4 | Information retrieval |
| Image Processing and Computer Vision | ||
| Deep Learning | ||
| Artificial Intelligence and Data Science | ||
| Semester | Credits | Title of the Paper |
| I | 4 | Advanced Machine Learning |
| II | 4 | Computer Vision or Natural Language Processing |
| III | 4 | Deep Learning |
| Internet of Things and Cyber Security Including Block Chain Technology | ||
| Semester | Credits | Title of the Paper |
| I | 4 | Blockchain Security and Performance |
| II | 4 | Cryptography and Secure Communications & IOT |
| III | 4 | Cybercrime Investigation and Forensics |






















































































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