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Programming, science and maths – the building blocks you’ll focus during your foundation year, preparing you to move onto BSc (Hons) Data Science in your second year.
You’ll take part in a series of individual and group projects alongside your modules. It’s a hands-on way of learning that will develop your problem-solving and creative thinking skills and help to build other transferable skills such as teamwork.
At NTU, we understand that big data, machine learning, and artificial intelligence are transforming industries. That's why our goal is to equip you with the skills and knowledge to become an expert in data science.
Through our comprehensive program, you will develop a strong foundation in computer science, enabling you to extract valuable insights from data. Using a diverse set of statistical, algorithmic, and predictive tools, you will gain the ability to transform raw data into practical and actionable information, capable of predicting trends and driving outcomes.
For UK Students:
72 UCAS tariff points from three A-levels or equivalent
GCSE Maths grade B / 6 and English C / 4
Project (40 credit points)
Distributed Database Engineering (20 credit points)
Business Intelligence and Data Analytics (20 credit points)
Artificial Intelligence (20 credit points)
Optional modules
Information Systems Management (20 credit points)
Applied Statistics (20 credit points)
Communicating Science and Technology (20 credit points)
Introductory Mathematics (20 Credit Points)
Computational Mathematics (20 CP)
Introduction to Programming (20 CP)
Foundation Engineering (20 CP)
Practical and Professional Skills (40 CP)
Foundations of Computing Technology and Programming (20 credit points)
Essential Skills (20 credit points)
Systems Analysis and Design (SAD) (20 credit points)
Professional Development for Industry (20 credit points)
Fundamentals of Data Analysis (20 credit points)
Programming for Data Science (20 credit points)
Practical Project Management and Professional Development (20 credit points)
Foundations of Artificial Intelligence and Machine Learning (20 credit points)
Data Analytics Techniques and Programming (20 credit points)
Information and Database Engineering (20 credit points)
Probability and Statistical Inference (20 credit points)
Data and Information Security (20 credit points)
Other programmes you might be interested in.
For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.
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