MSc Data Science and Computational Intelligence
Course Overview
This master's program equips students with the advanced skills to become data scientists, specializing in the development of computational intelligence applications that transform complex, large-scale data into actionable business insights and strategic decisions. The curriculum focuses on the practical application of cutting-edge machine learning and AI techniques to solve real-world data-driven problems across various industries.
Key Program Highlights
- Master cutting-edge techniques in machine learning, neural networks, and evolutionary computing for automated big data analysis.
- Gain hands-on experience with industry-standard frameworks and tools including Hadoop, Spark, NoSQL databases, Python, and R.
- Learn to assess statistical significance and perform advanced data mining tasks to extract meaningful patterns from complex datasets.
- Explore a wide range of practical applications through case studies in high-demand fields like finance, marketing, pharmaceutics, and healthcare.
- Enhance employability with an optional work placement opportunity designed to provide valuable professional experience.
Course Overview
This master's program equips students with the advanced skills to become data scientists, specializing in the development of computational intelligence applications that transform complex, large-scale data into actionable business insights and strategic decisions. The curriculum focuses on the practical application of cutting-edge machine learning and AI techniques to solve real-world data-driven problems across various industries.
Key Program Highlights
- Master cutting-edge techniques in machine learning, neural networks, and evolutionary computing for automated big data analysis.
- Gain hands-on experience with industry-standard frameworks and tools including Hadoop, Spark, NoSQL databases, Python, and R.
- Learn to assess statistical significance and perform advanced data mining tasks to extract meaningful patterns from complex datasets.
- Explore a wide range of practical applications through case studies in high-demand fields like finance, marketing, pharmaceutics, and healthcare.
- Enhance employability with an optional work placement opportunity designed to provide valuable professional experience.
