Curriculum

COURSE MATRIX BSC/BS APPLIED AI AND DATA SCIENCE

Year Semester Course Name Some Outcome Job Roles
1 1
  1. Linear Algebra and Numerical Analysis
  2. Foundations of Statistics and Probability
  3. Algorithmic Thinking and Its Applications
  4. Basics of Data Analytics
  • AI Powered Office Assistant
  • Data and Research Analyst
  • Junior Business Analyst
2
  1. Numerical Optimization
  2. Foundations of AI
  3. Visualization and Storytelling with Data
  4. Generative AI tools
2 1
  1. Pattern Recognition Principles
  2. Machine Learning
  3. AI Programming
  4. Generative AI
  • Data Analyst
  • Data Engineer
  • Junior Data Scientist
2
  1. Machine Learning Applications
  2. Basics of Data Mining
  3. Foundations of Data Engineering
  4. Tools for Data Science
3 1
  1. Machine Learning 2 (Deep Learning)
  2. Foundations of NLP
  3. Computer Vision
  4. Data Security and Ethics
  • Domain AI Application Job
  • NLP Application Engineer
  • Computer Vision Application Engineer
  • Data Scientist
2
  1. Machine Learning Applications (Domain based use cases)
  2. LLM and Prompt Engineering
  3. Reinforcement Learning
  4. Conversational AI
Year Semester Course Name Some Outcome Job Roles
1 1
  1. Linear Algebra and Numerical Analysis
  2. Foundations of Statistics and Probability
  3. Algorithmic Thinking and Its Applications
  4. Basics of Data Analytics
  • AI Powered Office Assistant
  • Data and Research Analyst
  • Junior Business Analyst
2
  1. Numerical Optimization
  2. Foundations of AI
  3. Visualization and Storytelling with Data
  4. Generative AI tools
2 1
  1. Pattern Recognition Principles
  2. Machine Learning
  3. AI Programming
  4. Generative AI
  • Data Analyst
  • Data Engineer
  • Junior Data Scientist
2
  1. Machine Learning Applications
  2. Basics of Data Mining
  3. Foundations of Data Engineering
  4. Tools for Data Science
3 1
  1. Machine Learning 2 (Deep Learning)
  2. Foundations of NLP
  3. Computer Vision
  4. Data Security and Ethics
  • Domain AI Application Job
  • NLP Application Engineer
  • Computer Vision Application Engineer
  • Data Scientist
2
  1. Machine Learning Applications (Domain based use cases)
  2. LLM and Prompt Engineering
  3. Reinforcement Learning
  4. Conversational AI
Year 4 Career Track 1: Applied AI Career Path
Year Semester Course Name Some Outcome Job Roles
4 1
  1. Project Management Principles
  2. Software Engineering
  3. Design Thinking and Complex Problem Solving
  4. Live Project – Initiation
  • AI Application Engineer
  • Generative AI Application Engineer
2
  1. Live Project – Applied AI Capstone Work Product
Year 4 Career Track 2: Computational Science Research Path
Year Semester Course Name Some Outcome Job Roles
4 1
  1. Probability and Statistics
  2. Linear Algebra
  3. Calculus and Optimization
  4. Programming, Data Structures and Algorithms
Research Track
2
  1. Database Management and Warehousing
  2. Machine Learning
  3. AI
  4. Thesis
Year 4 Career Track 1: Applied AI Career Path
Year Semester Course Name Some Outcome Job Roles
4 1
  1. Project Management Principles
  2. Software Engineering
  3. Design Thinking and Complex Problem Solving
  4. Live Project – Initiation
  • AI Application Engineer
  • Generative AI Application Engineer
2
  1. Live Project – Applied AI Capstone Work Product
Year 4 Career Track 2: Computational Science Research Path
Year Semester Course Name Some Outcome Job Roles
4 1
  1. Probability and Statistics
  2. Linear Algebra
  3. Calculus and Optimization
  4. Programming, Data Structures and Algorithms
Research Track
2
  1. Database Management and Warehousing
  2. Machine Learning
  3. AI
  4. Thesis