M.E – Computer Science & Engineering
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- M.E – Computer Science & Engineering
- Course Overview
Duration
4 Years (8 Semesters)
Accreditation
AICTE Approved
Intake
24 Students
- Introduction – MCA Department
The MCA Department is committed to providing a high-quality learning environment that prepares students to face the rapidly evolving IT landscape. With a team of experienced and well-trained faculty members, the department guides students through the latest technologies and emerging trends in the software industry.
The department maintains strong infrastructure facilities and fosters active industry interaction, helping students gain exposure and improve their placement opportunities. Many of our graduates are successfully placed in top IT companies such as Accenture, Bahwan Cybertek, Syntel, TCS, CTS, CSS Corp, Mphasis, Hexaware, Oracle Financial Services, and CSC.
Our faculty members bring expertise in key areas such as Cryptography and Network Security, Mobile Computing, Data Structures, Computer Networks, Computer Architecture, Data Mining, Software Engineering, Software Testing, AI, Graphics and Multimedia, Database Management Systems, and PC Hardware Troubleshooting. Their academic strength and industry experience ensure that students receive both theoretical knowledge and practical exposure.
History of the Department
Department Profile
Department Library
- Laboratory
Advanced Database Technology Lab
- Provides hands-on experience with advanced database concepts, SQL, NoSQL, and data modeling.
Advanced Data Structures and Python Programming Lab
- Focuses on implementing complex data structures and algorithms using Python.
Internet Programming Laboratory
- Trains students in web development using HTML, CSS, JavaScript, and server-side scripting.
Artificial Intelligence and Machine Learning Laboratory
- Offers practical exposure to AI and ML algorithms using tools like Python, TensorFlow, and Scikit-learn.
Internet of Things Laboratory
- Equips students with skills in data analysis, visualization, and statistical computing using modern tools.
Data Science Laboratory
- Enables students to build smart devices and IoT applications using sensors, microcontrollers, and cloud integration.
- Career Opportunities
Software Architect
System design, software architecture patterns, programming (Java, C++), leadership
Data Scientist
Python/R, Machine Learning, Statistics, Data Visualization, Big Data Tools
AI/ML Engineer
Deep Learning, TensorFlow/Keras, Python, Neural Networks, Model Deployment
DevOps Engineer
CI/CD pipelines, Docker, Kubernetes, AWS/Azure, Scripting (Bash, Python)