Data science is defined as the application of scientific methodology, procedures, and systems to effectively analyze immense data generated from many sources in order to obtain significant insights and produce data-driven decisions.
BSc (Hons) Computer and Data Science degree will help students build excellent mathematical, statistical, computational, and programming skills. This course focuses on improving predictability and real-time intelligence, behavior analysis and mapping, and security and interpretation in a real-world setting.
Data science helps to enhance productivity by transforming a company’s data into its most valuable assets and being future-ready. The emphasis of our course material is on developing applications employing potent new techniques for gathering, arranging, analyzing, and drawing conclusions from massive amounts of data.
After completing this course, students will have the analytical skills necessary to comprehend scientific methods and practices. Big data created by systems can be effectively analyzed to yield important insights that can be used to guide important decisions.
Curricular Structure
Year 1
Module Name | Credit Value |
Computer Programming | 20 |
Computer Systems | 20 |
Network Fundamentals | 20 |
Data Sources and Algorithms | 20 |
Innovation Project | 20 |
Website Design and Devlopment | 20 |
Year 2
Module Name | Credit Value |
Cyber Security | 20 |
Object-Oriented Programming | 20 |
Introduction to Data Science | 20 |
Software Design | 20 |
Database and Web Application Development | 20 |
Data Visualization | 20 |
Year 3
Module Name | Credit Value |
Professional Placement Year | 120 |
Year 4
Module Name | Credit Value |
Individual Honours Project | 40 |
Artificial Intelligence and Machine Learning | 20 |
Modern Data Stores | 20 |
Deep Neural Networks | 20 |
Data Management and Machine Learning Operations | 20 |