Data Science

DCM 002: Introduction to Data Science

Course Overview

Data science plays a vital role in all aspects of the modern world. Our program will ensure you have a strong foundation in this rapidly expanding, highly in-demand field to achieve your career aspirations.

Our program delivers a broad yet rigorous grounding in computer science and statistics, adopting both theoretical and practical learning approaches. You will gain cutting-edge knowledge and skills through state-of-the-art equipment and excellent teaching offered by both the School of Computing and Communications and the Department of Mathematics and Statistics.

This engaging programme, and our reputation for excellence in research, means that you will receive high quality teaching delivered by academics who are experts in their field. Throughout the program, you will develop a range of discipline specific skills and gain specialist knowledge that will prepare you for your chosen career.

Course aims

The course will include a mix of lectures, and hands-on exercises which  will allow students to gain experience using the theory and techniques delivered in the lectures in the field of Data Science at large.

Course Objectives:

• Learning about the Nature of Data & Data Science enabling technologies.
• Introduction to the Applied Data Science Pipeline Process.
• Exploring Data Visualisation & its application.

Teaching methods

The course will be mostly theory based, with a few hands-on introductory practical sessions in Data Wrangling & Data visualization tools.

Learning outcomes

• To provide an introduction to various topics such as Big Data, data visualisation, advanced databases and cloud computing, along with a toolkit to use with data.

Assessment methods

The students will need to complete a written assessment on the last session of the course.

Students must submit a completed Declaration of Authorship form at the end of term when submitting your final piece of work.

MODULE 1: EXPERIENCE ANALYTICS