Department of Computer Applications
- Program CodeMCA002
- Duration 2 Years
- LevelPost Graduate Programme
- Department Department of Computer Applications
The MCA in Artificial Intelligence and Machine Learning is a specialized postgraduate programme designed to develop advanced skills in intelligent systems, data analytics, and modern computational technologies. The programme aims to build strong foundations in core computer science while integrating cutting-edge AI and ML techniques.
With high industry relevance, it prepares students to solve complex problems in sectors such as healthcare, finance, cybersecurity, e-commerce, education, and automation. The curriculum emphasizes practical learning through projects, labs, and industry-oriented assignments using tools like Python, TensorFlow, and cloud platforms. Graduates are equipped for roles in AI development, data science, research, and innovation.
1,00,000 1stYr.
1,00,000 2ndYr.
Bachelor’s degree with Mathematics at l0+2 Level or at Graduation Level Minimum 60% (55% for SC/ST) marks in Graduation
The candidate must qualify for IUCET or any other central or state level entrance exam to get admission to the university
At the end of the program the student will be able to:
PO 1
PO-1
Apply advanced AI and Machine Learning techniques to design intelligent solutions for real-world problems.
PO 2
PO-2
Develop, implement, and optimize software systems using strong foundations in programming, algorithms, and data management.
PO 3
PO-3
Use modern tools, frameworks, and cloud technologies to build scalable, secure, and efficient AI-driven applications.
PO 4
PO-4
Analyze data effectively and make data-driven decisions using appropriate statistical, analytical, and visualization methods.
PO 5
PO-5
Demonstrate professional ethics, teamwork, communication skills, and continuous learning in rapidly evolving technological environments.
PEO1
PEO-1
To equip graduates with strong technical knowledge and analytical skills to design intelligent, data-driven, and scalable computational solutions.
PEO2
PEO-2
To prepare professionals who can adapt to emerging technologies in AI, ML, and cloud computing, contributing effectively to industry and research.
PEO3
PEO-3
To develop graduates capable of solving real-world problems through innovation, critical thinking, and multidisciplinary approaches.
PEO4
PEO-4
To foster ethical values, leadership qualities, teamwork, and lifelong learning to excel in professional careers and societal development.
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Data Scientist / Data Analyst
- Deep Learning or NLP Specialist
- Computer Vision Engineer
- Big Data Engineer
- Cloud and ML Ops Engineer
- Research Associate / Academic Professional
