MCA
MCA - Master of Computer Applications
The Master of Computer Applications (MCA) is a two-year postgraduate program designed to provide advanced knowledge and skills in the field of computer applications. With the growing prominence of AI, machine learning, deep learning, and cloud computing, the MCA program remains one of the most sought-after courses.
At Allenhouse, we focus on integrating technical training programs into the curriculum. Students gain hands-on experience in Python, Advanced Data Structures, Object-Oriented Programming with Java, Database Management with SQL, and more, alongside the standard curriculum.
An MCA degree is a gateway to improved career opportunities and positions of responsibility. Graduates are often preferred for senior-level roles, leadership positions, and specialized technical jobs. With their advanced skill set, MCA graduates can meet both managerial and technical demands in the corporate world.
Completing your MCA at Allenhouse Institute of Technology significantly enhances your professional credibility. It reflects a commitment to acquiring specialized knowledge and staying ahead in the competitive IT landscape. Our institution is dedicated to nurturing students’ potential and helping them develop well-rounded personalities to excel in their chosen careers.
Two-Year MCA Program Curriculum:
First Year (1st Semester)
- Fundamental of Computers & Emerging Technologies
- Problem Solving using C
- Principles of Management & Communication
- Discrete Mathematics
- Computer Organization & Architecture
- Problem Solving using C Lab
- Computer Organization & Architecture Lab
- Professional Communication Lab
First Year (2nd Semester)
- Theory of Automata & Formal Languages
- Object Oriented Programming
- Operating Systems
- Database Management Systems
- Data Structures & Analysis of Algorithms
- Cyber Security
- Object Oriented Programming Lab
- DBMS Lab
- Data Structures & Analysis of Algorithms Lab
Second Year (3rd Semester)
- Artificial Intelligence
- Software Engineering
- Computer Network
- Elective – 1 (Cryptography & Network Security, Data Warehousing & Data Mining, Software Project Management, Cloud Computing, Compiler Design)
- Elective – 2 (Web Technology, Big Data, Simulation & Modeling, Software Testing & Quality Assurance, Digital Image Processing)
- Artificial Intelligence Lab
- Software Engineering Lab
- Mini Project
Second Year (4th Semester)
- Elective – 3 (Privacy & Security in Online Social Media, Soft Computing, Pattern Recognition, Data Analytics, Software Quality Engineering)
- Elective – 4 (Blockchain Architecture, Neural Network, Internet of Things, Modern Application Development, Distributed Database Systems)
- Elective – 5 (Mobile Computing, Computer Graphics and Animation, Natural Language Processing, Machine Learning, Quantum Computing)
- Project