International Stage Two (IS2)

Teaching

Small classes on-campus and online giving individual attention 

Methods of assessment

• Continuous assessment and feedback
• Project work and testing

Modules

Academic Literacies

This module prepares you with the English language skills and core competencies you need for your continued degree studies. The aim is to improve your English language proficiency from a minimum 5.5 IELTS (or equivalent) to an IELTS level 6.5 (or equivalent).

Mathematics for Business & Digital Literacy

This module will help you develop the mathematical and problem-solving skills required for your degree studies. It will also introduce students to Blackboard, Turnitin software and how to utilise multiple modes of communication.

Business Management

In this module, you will develop an understanding of some of the activities involved in managing a business. You will gain knowledge and understanding of theories of management and consider the nature and impact of different styles of management/leadership. You will also learn the ways in which businesses have impacted society and the need for businesses to behave in an ethical and sustainable way including their responses to change and innovation.

Business Analytics

In this module you will be introduced to basic statistical concepts, packages, topics and methods. It will enable you to collate and present data in various accessible forms in order to analyse and interpret it effectively.

International Business: Theory into Practice

This module will introduce you to the current international issues affecting contemporary businesses and provided with a greater appreciation of the role of business within society. You will also learn how businesses respond to challenges associated with cultural differences, ethical issues, sustainability and the impact of technological change.

Macroeconomics & Applied Policy

In this module you will develop an understanding of the main contemporary macroeconomic issues in the U.K. and globally and be able to operate the standard methods used in analysing open economies. Applied Policy introduces you to dealing with macroeconomic accounts and with data used to measure economic performance.

Microeconomics 2

This module will help to understand the micro aspects of the economy by focusing on the basic theories of consumer and firm behaviour.

Teaching

Small classes on-campus and online giving individual attention

Methods of Assessment

• Continuous assessment and feedback
• Project work and testing

Modules

Academic Literacies

This module prepares you with the English language skills and core competencies you need for your continued degree studies. The aim is to improve your English language proficiency from a minimum 5.5 IELTS (or equivalent) to an IELTS level 6.5 (or equivalent).

Introduction to Software Development

This module will provide students with the fundamental knowledge and basic skills required to design and develop software.

Mathematics for Computing

This module provides the appropriate foundation in mathematical skills to enable students to be successful when they move onto later stages of their undergraduate studies in Computing Science.

Introduction to Data Structure and Algorithms

This module introduces the theory and Java implementation of commonly used data structures in computing and improves general programming skills by applying these data structures to solve problems.

Introduction to User Interface Design

To explore contemporary user interfaces using a combination of research articles and mainstream media, to identify key design elements and their intended purpose.

Operating Systems & Networks

This module equips you with knowledge of the inner mechanisms of operating systems and network.

Introduction to Multi-Paradigm Programming

The module aims to enable students to develop programming skills in C and C++ by providing essential data structure.  The module covers the principles of procedural programming, a review of object-oriented programming concepts and the outline of data structures like stacks, queues, trees, graphs, and hash tables.

Introduction to Database Systems & Web Development

To provide a comprehensive overview of database architectures, with an emphasis on relational models. To provide you with practical experience of designing and developing a full-stack web application that integrates a web-based front-end (using JavaScript or equivalent) with a back-end database, typically via an API.

Fundamentals of Artificial Intelligence & Machine Learning

To introduce supervised machine learning, including fundamental theoretical concepts for classification and regression, and to provide practical experience in training and evaluating various supervised learning methods.