Teaching and assessment for Business Analytics MSc

A student sitting at a table using their laptop.

Teaching

lectures
workshops
tutorials
group projects
student presentations

The University of Dundee School of Business is committed to providing students with an exciting, meaningful, and interactive learning experience taking advantage of traditional and leading-edge learning technologies. This hybrid approach to education delivery, which includes both in-person and online material, has been adopted globally by top universities.

Our approach is flexible, attempting to meet the needs of all our domestic and international students. Moreover, our students are assured of an on-campus learning experience for all modules supplemented and complemented by state-of-the-art Cloud technology. A major advantage of ‘hybrid teaching’ is that it allows popular classes to remain small so that meaningful discussion and engagement between students and academics can occur.

Assessment

group work
presentations
reports
case study analysis

Core Modules

These modules are an essential part of your course.

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Module code: AC51011 Credits: 20 Semester: Semester 1

Develop theoretical and practical skills in understanding big data.

Study how to plan business goals of big data analysis and storage. Learn how to to process and analyse big data sets, and visualise and present results.

Big Data Analysis full module details

Module code: AC51049 Credits: 20 Semester: Semester 1

Learn about various database architectures, with an emphasis on relational databases.

You will explore how databases can be used to power software applications. You will also develop a database solution firsthand.

Database Systems Development full module details

Module code: BU51033 Credits: 20 Semester: Semester 2

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.

Moving Up to Business full module details

Module code: BU51037 Credits: 20 Semester: Semester 1

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.

Data Visualisation for Business full module details

Module code: BU51038 Credits: 20 Semester: Semester 2

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.

Fintech and Blockchain Technology full module details

Module code: BU52023 Credits: 20 Semester: Semester 2

You will combine the theory of forecasting with practical experience of using software used by researchers, data analysts, and statisticians for conducting data-driven tasks and analyses. This will allow you to help find potential solutions to different kinds of business and financial problems.

Forecasting for Business and Finance full module details

Module code: BU52054 Credits: 20 Semester: Semester 2

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.

Business Analytics Project full module details