MSc Data Science and Computational Intelligence with Placement Year
Course Overview
This MSc program prepares students to meet the growing demand for data scientists skilled in developing innovative computational intelligence applications that analyze large, complex datasets to inform business decisions and market strategies. It covers key topics such as big data management, statistical modeling, machine learning, and generative AI, focusing on extracting meaningful insights from both structured and unstructured data. Students will explore how computational intelligence solves complex problems and simulates human-like intelligence in computational systems.
Key Program Highlights
- Comprehensive coverage of big data management, data protection, and data ethics
- In-depth study of statistical modeling, machine learning, and deep learning
- Focus on computer vision, natural language processing, and generative AI
- Exploration of reinforcement learning and computational intelligence principles
- Integration of mathematics, statistics, and computer science for practical applications
Course Overview
This MSc program prepares students to meet the growing demand for data scientists skilled in developing innovative computational intelligence applications that analyze large, complex datasets to inform business decisions and market strategies. It covers key topics such as big data management, statistical modeling, machine learning, and generative AI, focusing on extracting meaningful insights from both structured and unstructured data. Students will explore how computational intelligence solves complex problems and simulates human-like intelligence in computational systems.
Key Program Highlights
- Comprehensive coverage of big data management, data protection, and data ethics
- In-depth study of statistical modeling, machine learning, and deep learning
- Focus on computer vision, natural language processing, and generative AI
- Exploration of reinforcement learning and computational intelligence principles
- Integration of mathematics, statistics, and computer science for practical applications
