BSc Data Science with Year of Professional Experience
Course Overview
This program provides a comprehensive and modern education in data science, machine learning, and artificial intelligence, preparing graduates for successful careers in the tech industry or further research. Students will gain a deep understanding of fundamental principles alongside hands-on experience with cutting-edge tools and technologies.
Key Program Highlights
- Master fundamental principles in AI, data science, and machine learning for lasting career relevance
- Gain advanced, practical skills in data analytics theory and application
- Develop expertise in high-demand areas like Deep Learning and Natural Language Processing (NLP)
- Learn to build trustworthy AI systems with ethical considerations
- Acquire commercial experience and skills applicable in real-world business and research contexts
Course Overview
This program provides a comprehensive and modern education in data science, machine learning, and artificial intelligence, preparing graduates for successful careers in the tech industry or further research. Students will gain a deep understanding of fundamental principles alongside hands-on experience with cutting-edge tools and technologies.
Key Program Highlights
- Master fundamental principles in AI, data science, and machine learning for lasting career relevance
- Gain advanced, practical skills in data analytics theory and application
- Develop expertise in high-demand areas like Deep Learning and Natural Language Processing (NLP)
- Learn to build trustworthy AI systems with ethical considerations
- Acquire commercial experience and skills applicable in real-world business and research contexts
Requirements
Modules
- Object Oriented Programming
- Introduction to Algebra and Analysis
- Introduction to Probability & Statistics
- Procedural Programming
- Data Driven Systems
- Theory of Computation
- Statistical Inference
- Professional and Transferrable Skills
- Linear Algebra
- Data Structures and Algorithms
- Introduction to Artificial Intelligence and Machine Learning
- Year of Professional Experience
- Video Analytics and Machine Learning
- Computer Science Project
- Deep Learning
- Financial Mathematics
- Concurrent Programming
- Stochastic Processes and Risk
- Cloud Computing
- Information Theory and Biodiversity
- Fairness, Interpretability and Privacy in Machine Learning
- Bayesian Statistics
- Malware Analysis
- Linear Models
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