Taught course
Business Analytics MSc
Entry requirements
A 2:2 honours degree, from a UK university, or international equivalent. Typically, you will have a business background and sufficient competence in statistics (eg probability theory, statistical inference, hypothesis testing, simple regressions) or a computing or mathematics/statistics background
Months of entry
September
Course content
Unlock the future with our MSc in Business Analytics. Gain the skills to turn data into opportunities, drive innovation, and make a lasting impact in the business world.
Overview
The MSc in Business Analytics gives you the skills and knowledge to thrive as a:
- business analyst
- operations analyst
- consultant
- data analyst
You'll be capable of operating across a wide range of functions and industries.
Key features include:
- comprehensive skill development. You will gain a versatile set of business analytics skills that are you can apply across diverse sectors
- tool proficiency and critical insight. You will develop expertise in analytical tools. You'll also cultivate a critical mindset for data-driven decision-making
- practical project experience. You'll work on real-world business analytics projects, bridging theory and practice
- experiential learning. You will engage with real industry challenges through hands-on learning. You'll gain valuable exposure to current business practices
Programme Structure
The programme is structured around three interconnected pillars. Each one will build your expertise progressively.
- Semester 1 – Foundations of Data Science. You will develop core competencies in statistics and programming. These are specifically tailored to business analytics applications.
- Semester 2 – Managerial Perspectives. You'll gain insights into the strategic and operational management of business analytics projects. You'll focus on effective implementation and impact.
- Semester 3 – Real-World Application. You'll apply your skills in practical contexts. You will critically evaluate analytics solutions across different business environments.
The programme culminates in a substantial individual research project. This allows you to:
- apply your learning to a real-world business problem
- demonstrate your analytical capabilities in depth
The programme does not just teach technical skills. It also emphasises critical thinking. You will learn how to approach business analytics projects strategically. You will also understand how to extract maximum value from data. This is a crucial skill in modern decision-making.
What you'll learn
Our Business Analytics MSc provides you with a rigorous and comprehensive foundation in data-driven decision-making. It covers both the theoretical and practical aspects in depth.
You will develop core expertise in:
- data analytics for business insights
- statistical foundations of data science
- statistical learning
- research methods for business analytics
You will also acquire practical, industry-relevant skills in:
- project management
- web and social media analytics
- operations analytics
- artificial intelligence in business
- marketing analytics
- teamwork, presenting, report writing
You will explore how to leverage data analytics for strategic business insights. You'll apply your knowledge through a collaborative group project. This is designed to simulate real-world challenges.
By the end of the programme, you'll able to:
- extract actionable insights from complex datasets
- make informed, data-driven decisions
These capabilities will prepare you for success in a wide variety of analytical and strategic roles, and across a range of industries.
Information for international students
See Newcastle University's course entry for more information
Fees and funding
See Newcastle University's course entry for more information
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Nick Howey - Degree Programme Director
- nubs.recruitment@ncl.ac.uk
- Phone
- +44 (0) 191 208 1503