Master of Computer Application (Full Stack Development/ AIML)
Duration - 2 Years
ALARD School of Business Management
Overview
The Master of Computer Applications (MCA) program at ASBM is a comprehensive postgraduate course designed to provide students with an in-depth understanding of computer science, software development, data science, and emerging technologies. The program blends theoretical knowledge with practical application to ensure students are well-prepared for careers in the fast-evolving IT industry. With a focus on contemporary programming languages like Python and Java, as well as advanced fields like Artificial Intelligence, Data Science, and Power BI, the program prepares graduates for roles across various sectors, including IT, business intelligence, and data analytics.
The MCA program at ASBM is designed to produce industry-ready professionals who are proficient in multiple programming languages, modern computing technologies, and tools for data analytics and artificial intelligence. The program focuses on both the theoretical and practical aspects of IT, ensuring a well-rounded education. Key areas of study include:
- Software Engineering: Techniques for designing, developing, and testing software applications.
- Database Management: Concepts related to relational databases, SQL, and data modelling.
- Computer Networks and Security: Understanding network protocols, security strategies, and data protection.
- Data Science and Big Data: Principles of data analysis, machine learning, and working with big data.
- Artificial Intelligence (AI): Introduction to AI algorithms, natural language processing, and machine learning techniques.
- Mobile Application Development: Designing apps for mobile platforms like Android and iOS.
The Master of Computer Applications (MCA) specialization in Artificial Intelligence and Machine Learning (AI & ML) is a postgraduate programme designed to develop advanced technical expertise in intelligent systems, data-driven computing, and AI-enabled solution development. The programme emphasizes deep theoretical knowledge, applied research, and hands-on experience to prepare graduates for high-level professional and research roles in AI-driven industries.
The primary objective of the MCA specialization in Artificial Intelligence and Machine Learning is to develop industry-ready and research-oriented postgraduate professionals capable of addressing complex real-world problems using advanced AI and ML techniques. The programme aims to provide in-depth knowledge of intelligent algorithms, data analytics, and computational intelligence while fostering innovation, critical thinking, and ethical responsibility.
The programme seeks to:
- Equip students with advanced theoretical and practical knowledge of artificial intelligence, machine learning, and deep learning
- Develop strong analytical, programming, and system-design skills for large-scale and data-intensive applications
- Enable students to design, implement, optimize, and deploy AI-based solutions in real-world environments
- Promote ethical, explainable, and responsible AI practices in line with global standards
- Prepare graduates for professional careers, leadership roles, research, and lifelong learning in emerging AI technologies
Upon successful completion of the MCA (AI & ML) programme, graduates will be able to:
- Apply advanced AI and ML concepts to design and solve complex computational and domain-specific problems.
- Develop, evaluate, and optimize machine learning and deep learning models using modern tools and frameworks.
- Perform advanced data analysis, feature engineering, and model validation for intelligent decision-making systems.
- Integrate AI solutions into enterprise-level applications ensuring scalability, performance, and reliability.
- Conduct independent research, analyze technical literature, and contribute to innovation in AI and related domains.
- Demonstrate ethical awareness, fairness, transparency, and accountability in AI system development and deployment.
- Communicate technical solutions effectively and collaborate in multidisciplinary professional teams.
The MCA (AI & ML) programme offers a strong balance between advanced theoretical foundations and practical application. Key features include exposure to cutting-edge AI technologies, research-driven learning, and extensive hands-on experience. The programme integrates knowledge from computer science, mathematics, statistics, and data science to provide a comprehensive and rigorous understanding of intelligent systems suitable for postgraduate study.
The curriculum covers advanced topics such as machine learning, deep learning, natural language processing, computer vision, data analytics, reinforcement learning, and AI system design. Emphasis is placed on practical implementation through modern pedagogical approaches, including project-based learning, laboratory work, case studies, seminars, hackathons, research-oriented assignments, and capstone projects. These methods enhance critical thinking, problem-solving ability, and innovation at the postgraduate level.
Graduates of the MCA (AI & ML) programme are well-prepared for advanced roles such as AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Analyst, Data Analyst, and AI Consultant. The programme emphasizes employability through skill-based training, continuous assessment, real-world problem-solving, and alignment with current industry requirements, ensuring graduates remain competitive in the evolving technology landscape.
Strong industry collaborations form an integral part of the MCA (AI & ML) programme. Students gain exposure through internships, industrial training, expert lectures, workshops, and live industry projects. Placement support includes technical skill enhancement, resume development, aptitude training, mock interviews, and career mentoring, enabling a smooth transition from postgraduate education to professional roles in AI-driven industries.
The Full Stack Development specialization for the MCA programme is designed to develop advanced technical competencies required to design, build, deploy, and manage scalable, secure, and high-performance software applications. The programme emphasizes modern web architectures, enterprise-level development practices, and full-cycle application development using contemporary tools and frameworks. It prepares postgraduate learners to handle complex real-world software challenges and contribute effectively to professional development teams.
The primary objective of the Full Stack Development specialization for MCA students is to develop highly skilled software professionals with in-depth knowledge of modern application architecture, advanced web technologies, databases, and deployment strategies. The programme aims to strengthen analytical thinking, system design capabilities, and problem-solving skills required for enterprise-grade software development.
Upon successful completion of the programme, MCA learners will be able to:
- Design and develop scalable, secure, and maintainable full-stack applications
- Apply advanced front-end frameworks to build dynamic and single-page applications
- Develop robust back-end systems using modern server-side technologies
- Implement and manage advanced database systems, including NoSQL databases
- Apply software architecture principles and design patterns in application development
- Use DevOps tools and practices for continuous integration, deployment, and monitoring
- Work effectively in collaborative development environments using industry-standard tools
- Execute a major project or dissertation demonstrating full-cycle software development expertise
- Advanced full-stack development exposure
- Focus on enterprise and scalable application development
- Project-driven and research-oriented learning approach
- Integration of modern frameworks, tools, and DevOps practices
- Strong emphasis on system design and architecture
The curriculum covers advanced web technologies, front-end frameworks, back-end systems, APIs, NoSQL databases, DevOps practices, and software architecture. Teaching methodology includes interactive lectures, advanced labs, case studies, research discussions, practical assignments, and a major project or dissertation. Continuous evaluation and peer collaboration ensure deep conceptual understanding and applied technical competence.
Full Stack Development provide opportunity for MCA Students to understand the concept of
- Advanced Web Technologies
- Frontend Frameworks (React.js / Angular JS)
- Single Page Application (SPA) Development
- Advanced Database Systems (NoSQL)
- DevOps for Full Stack Development
- Software Architecture & Design Patterns
- Major Project / Dissertation
Graduates of the MCA Full Stack Development specialization are prepared for roles such as Full Stack Developer, Software Engineer, Application Developer, Web Architect, System Analyst, and DevOps Associate. The programme enhances employability through advanced technical training, architectural thinking, and exposure to professional software development practices.
Where applicable, the programme integrates industry interaction through expert lectures, workshops, internships, live projects, and hands-on training. Students gain exposure to real-world development environments, helping bridge the gap between academic learning and industry expectations.
Salient Features of the Program
- 70% Practical, 30% Theory: This structure ensures that students gain the necessary technical skills to handle real-world projects while building a solid theoretical foundation in computer science concepts.
- Emerging Technologies Focus: The program integrates courses on Python, Java, AI, Data Science, and Power BI, making it highly relevant in the rapidly advancing tech landscape.
- Project-Based Learning: Students actively participate in real-time software development projects, data analytics tasks, and AI-based problem-solving, offering them hands-on experience.
- Industry Collaboration: Collaborations with top IT companies and tech experts help students stay updated on industry trends and practices.
- Placement Assistance: The program offers robust placement support with active assistance in securing internships and final placements at leading IT companies.
- Expert Faculty:The faculty consists of professionals with both academic qualifications and industry experience, ensuring that students receive practical and up-to-date knowledge.
- Specialization in High-Demand Skills: The curriculum includes specialized subjects such as Data Science, Artificial Intelligence, and Power BI, ensuring students are ready for high-demand roles in the IT sector.
PROGRAM Structure
| Semester - I |
|---|
|
Business Communication |
|
Principle of Management |
|
Business Mathematics |
|
Database Management System |
|
C Programming |
|
Skill Enhancement Course: Communication Skill |
|
Ability Enhancement Course: Data Analytics using MS-Excel |
|
Practical: C Programming & DBMS |
| Semester - II |
|---|
|
Organizational Behavior |
|
Financial Accounting |
|
Business Statics |
|
Web Technology |
|
RDBMS |
|
Skill Enhancement Course: React JS |
|
Ability Enhancement Course: Data Analytics using MS-Excel |
|
Practical: Web Technology & RDBMS |
| Semester - III |
|---|
|
Social Media Marketing |
|
Data Structure |
|
PHP |
|
Big Data |
|
Block Chain |
|
Skill Enhancement Course: Django |
|
Ability Enhancement Course: Advanced Excel |
|
Practical: DS, PHP, Big Data |
| Semester - IV |
|---|
|
Cryptography |
|
Advanced Software Engineering |
|
CPP |
|
Advanced PHP |
|
Project |
|
Skill Enhancement Course: Angular |
|
Ability Enhancement Course: Agile Methodology |
|
Practical: CPP & Adv. PHP |
| Semester - V |
|---|
|
Cyber Security |
|
OOSE |
|
Python |
|
Core Java |
|
Project |
|
Skill Enhancement Course: Power BI |
|
Ability Enhancement Course: Introduction to Machine Learning |
|
Practical: Python & Core Java |
| Semester - VI |
|---|
|
Recent Trade in IT |
|
Software Testing |
|
Advanced Java |
|
Introduction to Data Science |
|
Project |
|
Skill Enhancement Course: Tableau |
|
Ability Enhancement Course: Introduction to Deep Learning |
|
Practical: Adv. Java & DS |
Eligibility
- For Maharashtra State Candidature, All India Candidature, UT of Jammu & Kashmir / UT of Ladakh Migrant Candidates, Must be an Indian citizen. Passed any Graduation degree (B.E./B.Tech./B.Sc./B.Com./B.A./B.Voc./BCA or equivalent). Mathematics studied at 10+2 or Graduation level. Minimum Marks in qualifying examination: 50% – General Category, 45% – Reserved / EWS / PwD (Maharashtra State only) Obtained non-zero score in CET conducted by the Competent Authority.
- Note: Candidates without Mathematics at 10+2 or Graduation level may be considered eligible if they qualify the relevant National-level or University-level entrance examination; the University may offer bridge courses, wherever required.
Lateral Entry MCA (Direct Second Year)
- For Maharashtra State Candidature & All India Candidature Candidates, Must be an Indian citizen. Passed any one of the following qualifications: B.Tech. / B.E. in Computer Science & Engineering (CSE) or Information Technology (IT), or Bachelor of Computer Applications (BCA) – 4 years Admission is subject to any other eligibility criteria and requirements prescribed from time to time by the Appropriate Authority as defined under the Act.
Fee Structure
| Indian Nationals/NRI | |
|---|---|
|
Master of Computer Application (Full Stack Development/ AIML) |
INR 1,60,000 per year |
Infrastructure
Four well equipped laboratories with latest configuration desktop computers and Internet.
Computer Laboratory - I
Computer Laboratory - II
Digital Lab
