The BSc (Hons) Data Science and Artificial Intelligence is a three-year undergraduate program offered by the University of East London, UK. The program combines data science, computer science, artificial intelligence, and machine learning, covering programming, databases, data structures and algorithms, business intelligence, big data, cloud computing, and advanced AI. It emphasizes practical, data-driven problem-solving and the development of intelligent systems for real-world applications.
Duration
Discipline
Level
Affiliation
Last Updated
Higher Secondary Education Completion (10 + 2/A Level or equivalent)
A strong mastery of the English language
First Year - 120 Credits
First Semester | Second Semester |
Information Systems Modelling and Design | Maths for Computing |
Software Development | Computer Systems and Networks |
Web Technologies | Mental Wealth; Professional Life (IT Project) |
Second Year - 120 Credits
Third Semester | Fourth Semester |
Data Base Systems | Mental Wealth; Professional Life2 (Computing in Practice) |
Data Structures and Algorithms | Business Intelligence Analysis |
AI | Programming for Data Science |
Third Year - 120 Credits
Fifth Semester | Sixth Semester |
Big Data Infrastructure Manipulation | Mental Wealth; Professional Life 3(Project) |
Project Management | Enterprise Architecture and Cloud Computing |
Advanced Topics in Data Science and AI | Advanced Topics in Data Science and AI |
After completing the program, graduates will be able to:
Apply principles of data science, computer science, and artificial intelligence to real-world problems.
Develop programming and computational skills for data-driven applications.
Design, manage, and query databases and large-scale data systems.
Apply data structures, algorithms, and statistical techniques to analyze complex datasets.
Use machine learning and AI techniques to develop intelligent solutions.
Apply business intelligence and data analytics to support evidence-based decision-making.
Analyze and process big data using appropriate technologies and infrastructure.
Apply cloud computing technologies to data science and AI applications.
Develop and evaluate data-driven software and intelligent systems.
Conduct independent research and complete practical data science and AI projects.
Demonstrate critical thinking, problem-solving, communication, teamwork, and professional skills.
Pursue careers as data scientists, data analysts, machine learning engineers, AI engineers, software developers, business intelligence analysts, data engineers, cloud engineers, and research scientists.
