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
Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
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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
The requirements may vary based on your selected study options.
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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Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
