Data Science
Course Overview
This BSc in Data Science equips you with the expertise to transform raw data into a powerful strategic asset for business and society. You will master the core theory in mathematics, statistics, and programming while applying it through machine learning and cloud technologies. The program prepares you for a highly marketable career as a skilled problem-solver and storyteller, meeting global demand across numerous sectors.
Key Program Highlights
- Master the core pillars of data science: mathematics, statistics, and programming
- Gain hands-on experience with in-demand cloud technologies and machine learning
- Develop the skills to become a creative problem-solver and compelling data storyteller
- Benefit from a highly marketable degree with strong global career prospects
- Learn to translate complex data patterns into actionable strategic insights
Course Overview
This BSc in Data Science equips you with the expertise to transform raw data into a powerful strategic asset for business and society. You will master the core theory in mathematics, statistics, and programming while applying it through machine learning and cloud technologies. The program prepares you for a highly marketable career as a skilled problem-solver and storyteller, meeting global demand across numerous sectors.
Key Program Highlights
- Master the core pillars of data science: mathematics, statistics, and programming
- Gain hands-on experience with in-demand cloud technologies and machine learning
- Develop the skills to become a creative problem-solver and compelling data storyteller
- Benefit from a highly marketable degree with strong global career prospects
- Learn to translate complex data patterns into actionable strategic insights
Requirements
Modules
- Computer Systems
- Computer Programming I
- Computer Programming II
- Data Science and Databases
- Introduction to R
- Linear Mathematics I
- Linear Mathematics II
- Probability 1
- Calculus and its Applications
- Developing Internet Applications
- Computer Programming 3 (Data Structure & Algebra)
- Computer Programming 4 (Object Oriented Prog)
- Data Warehousing and OLAP
- Introduction to Machine Learning
- Data Processing and Visualisation
- Programming for Data Analysis
- Calculus of Several Variables
- Statistics I
- Statistics II
- INTRA
- Data Exploration Using Graph Theory
- Application Domains 1
- Software Eng: Building Better Software
- Professional & Research Practice for Data Sci
- Search Technologies
- SEMESTER ONE ABROAD
- Advanced Machine Learning
- Application Domains 2
- Final Year Project
- Data at Speed and Scale
- Natural Language Technologies
- Building Complex Computational Models
- Applications Domains 3
