Business Analytics (MSc)

Skills

Gain a broad understanding of business analysis.

This programme blends computing and business elements for students without a prior computing background. This includes:

• Comprehensive Curriculum: Covers software development, data management, data visualisation, project management, marketing, and logistics.
• Ethical Data Use: Emphasis on the ethical considerations of data usage.
• Balanced Education: Mix of technical computing and business education.
• Inclusive for Non-STEM Students: Provides a data analysis education without requiring a STEM degree.
• Professional Placement: Optional placement to gain real-world experience.

Learning

You’ll experience a variety of teaching methods

• Diverse Teaching Methods: In your business modules, you’ll take part in lectures and seminars, work on group activities, and analyse case studies to gain a well-rounded understanding of the subject.
• Active Blended Learning: In computing modules, you’ll watch videos and attend workshops or seminars. You'll work collaboratively in studio-style lab spaces that simulate real-world IT environments, helping you learn by doing.

Assessment

• Reports: You’ll analyse specific organisations and create detailed reports based on your findings.
• Presentations: You’ll present your solutions to real-world business problems, showcasing your insights and ideas.
• Essays: You’ll write in-depth essays on relevant topics, demonstrating your understanding and research skills.
• Group Work: You’ll participate in group activities, such as analysing case studies and working on collaborative projects, to develop your teamwork and problem-solving abilities.

Careers

Upon graduation you'll be well-prepared for various roles across all sectors, including:

• Data Management: Handle and interpret large data sets.
• Business Analysis: Provide insights and solutions to improve business operations.
• Project Management: Oversee and deliver successful projects.
• Marketing and Logistics: Apply data-driven strategies to these fields.