BSc. Information Technology (Data Analytics)

Provides an overview of quantitative methods essential for analyzing data, with an emphasis on business applications. Topics include identification of appropriate metrics and measurement methods, descriptive and inferential statistics, experimental design, parametric and non-parametric tests, simulation, and linear and logistic regression, categorical data analysis, and select unsupervised learning techniques. Standard and open-source statistical packages are used to apply techniques to real-world problems.
The program is designed to provide pathways for students who want to pursue careers centered around building computer software solutions through programming and algorithmic techniques. The students pursuing this program will gain the necessary skills to solve challenges in the 21st century globalized economy by exploring a broad range of theoretical and practical knowledge, methods, processes, and skills to effectively design and develop computer-based solutions to satisfy domain-specific requirements. Successful students will graduate with the technical acumen and practical exposure needed to innovatively solve real-world problems and remain competitive in the workplace.
 We teach students the core foundational aspects of computer science that will prepare graduates to be successful in a variety of different computer science-related professions. The program empowers graduates with the technical acumen required to solve business problems through the use of computer science. Students will also learn how to innovate by exploring new and emerging technologies.
Career Options
Data scientist was identified as the 7th top emerging job role in the UK in LinkedIn's emerging jobs report 2020 and The Royal Society revealed a 231% growth in demand for data scientists and engineers between 2014 and 2019. The Government have also reported that UK companies are recruiting for 178,000 to 234,000 roles that require 'hard' data skills, including data ethics, programming, database management, data processing and visualisation.