Bachelor’s degree in Computer Applications / Computer Science / IT or equivalent with Mathematics at 10+2 or graduation level, from a recognized university.
Program Overview
The MCA in Artificial Intelligence and Data Science is a postgraduate program designed to equip students with advanced knowledge and practical skills in emerging technologies that are transforming industries worldwide.
TThe program focuses on key areas such as machine learning, deep learning, data analytics, big data technologies, and artificial intelligence applications. Students gain a strong foundation in programming, algorithms, and data-driven decision-making, along with hands-on experience using modern tools and frameworks.
The curriculum integrates theoretical concepts with practical implementation through lab sessions, projects, case studies, and internships. Students work on real-world datasets, build predictive models, and develop intelligent systems to solve complex problems.
With a strong emphasis on industry relevance, the program prepares graduates for high-demand roles in AI, data science, and analytics across sectors such as IT, healthcare, finance, e-commerce, and consulting.
Programme Educational Objectives (PEOs)
PEO-1
Develop strong foundational knowledge in computer science, artificial intelligence, and data science.
PEO-2
Equip students with practical skills in programming, data analysis, and machine learning techniques.
PEO-3
Enable students to design intelligent systems and solve real-world problems using AI and data-driven approaches.
PEO-4
Promote ethical practices, innovation, and continuous learning in emerging technologies.
PEO-5
Prepare graduates for successful careers or higher education in AI, data science, and related domains.
Programme Outcomes (POs)
POs-1
Computational Knowledge: Apply knowledge of computer science, mathematics, and data science in problem-solving.
POs-2
Programming & Development: Develop software applications using modern programming languages and tools.
POs-3
Data Analysis: Analyze large datasets to extract meaningful insights and support decision-making.
POs-4
Machine Learning: Design and implement machine learning and AI models for real-world applications.
POs-5
Problem Solving: Identify, analyze, and solve complex computing and data-driven problems.
POs-6
Tools & Technologies: Use modern tools such as Python, R, TensorFlow, and big data frameworks.
POs-7
Communication: Communicate technical concepts effectively to stakeholders.
POs-8
Ethics & Responsibility: Understand ethical, legal, and social implications of AI and data usage.
Programme Specific Outcomes (PSOs)
PSO-1
Develop intelligent systems using AI and machine learning techniques.
PSO-2
Perform data analysis, visualization, and predictive modeling.
PSO-3
Work with big data technologies and cloud-based data platforms.
PSO-4
Apply AI solutions across domains such as healthcare, finance, and e-commerce.
About