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M.Sc. Computer Science (Artificial Intelligence) – SF
Course Information
The MSc Computer Science (Artificial Intelligence) programme at Sacred Heart College (Autonomous), Thevara, Kochi, is designed to equip students with advanced knowledge in artificial intelligence (AI), machine learning, and data science. The programme integrates theoretical foundations with hands-on experience in AI technologies, preparing students for careers in research, development, and industry applications.
Artificial Intelligence is revolutionizing industries, enabling automation, and enhancing decision making capabilities. This programme covers core concepts of AI, including machine learning, deep learning, natural language processing and data analytics. Students will gain expertise in designing intelligent systems that can analyze, predict, and solve real-world problems.
Artificial Intelligence
Graduates of the MSc AI programme have excellent career prospects in both industry and academia. With the growing demand for AI professionals across multiple sectors, students can explore opportunities in:
- Software Industry: AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Scientist, Software Developer
- Finance & Banking: AI-driven risk assessment, fraud detection, predictive analytics
- Healthcare: Medical image analysis, AI-powered diagnostics, healthcare automation
- Retail & E-commerce: Recommendation systems, demand forecasting, customer sentiment analysis
- Robotics & Automation: Intelligent robots, autonomous vehicles, industrial automation
- Academia & Research: PhD opportunities, AI research positions in top institutes
- Government & Defense: Cybersecurity, surveillance, AI policy development
Semester I
- Computer Organization and Operating Systems
- Object-Oriented Programming with Java
- Data Structures and Algorithms
- Mathematics for Computational Intelligence
- Foundations of Data Analytics
- OOPS with Java Lab
- Data Structures Lab with C++
Semester II
- Programming in Python
- AI and Knowledge Representation
- Database Design
- Machine Learning
- Elective 1 (Digital Image Processing, Theory of Computation, Algorithm Analysis, or Graph Theory)
- Machine Learning Lab
- DBMS Lab and Micro Project
Semester III
- Computer Networks
- Data Mining and Analytics
- Elective 2 (Natural Language Processing, Big Data Analytics, or Computational Modelling)
- Elective 3 (Soft Computing, Pattern Recognition, or Object-Oriented Analysis & Design)
- Data Analytics Lab Using R
- Mini Project/Seminar
Semester IV
- Project/Internship
- Comprehensive Viva