Teaching and assessment for Business Analytics and Marketing MSc

Enhance your marketing knowledge exploring Search Marketing and Search Engine Optimisation (SEO). You will gain insight into the planning, execution, and measurement of digital campaigns. This will help you make online content profitable by making it easy to find online.

Learn how companies use Digital Asset Management (DAM) systems to optimise the use of their digital assets such as image and video files. You will learn to identify how mature an organisation’s DAM capabilities are and how this fits within the business and brand strategy.

During this module you will meet other students from different courses that share common components. This module will prepare you to get the most out of your studies and further your career after graduation in the world of business.

You will learn how to communicate data effectively, using theories and practical data visualisation knowledge to help you in the world of business. Visualisation is essential for showcasing data and expressing a specific story to your audience. Managers employ various methods to communicate numerical data and information effectively.

In this module, you will learn about financial technology trends, like blockchains and other innovations that are shaking up finance.

You will also learn about digital currencies, examine some regulations that come along with them, and discuss the role of artificial intelligence and machine learning play in all of this.

Increase your knowledge of digital marketing, understand the impact of digital media on culture, consumers, and consumption. Develop your skills using interactive platforms for both business and social contexts. 

Learn a range of techniques to collect information to help organisations make informed marketing decisions. You will concentrate on the design of market research projects, how market research data is collected, and the implications this can have for analysis. 

You will write a report based upon the professional needs of business, as if you were a business analyst. You will select a theme and investigate independently. This will require undertaking a critical review of the literature applying concepts learned in other modules to complete your report. 

Students will develop their academic English while working with material from their core business modules.

This is an English support module for international business students.

Explore the principles and methods of predictive and prescriptive analytics, by using them together you will develop relevant skills in statistical modelling and how to choose relevant forecasting models. Use machine learning techniques and corresponding applications to help solve a variety of business related decision problems.

This module introduces students to a variety of statistical methods useful for decision-making. It gives students the quantitative skills to use data to make informed business decisions.