Business Analytics MSc

12 Months On Campus Masters Program

University of Dundee

Program Overview

If you’re excited by the idea of turning data into real business insights, the MSc Business Analytics at the University of Dundee is built for you. Over 12 months, you’ll learn how to analyse data, create meaningful visualisations, and make informed decisions that can genuinely impact organisations — whether your background is in business, IT, or something else entirely.

Curriculum Structure

Year 1 (Full programme, 12 months)
The programme takes you step by step from the fundamentals to advanced analytics. You’ll start with business analytics models and data processing, learning how to handle and clean data efficiently. Then, you’ll dive into practical tools like Python and R, while also exploring data visualisation and predictive analytics to see patterns and trends clearly. By the end of the year, your extended project gives you a real chance to apply everything you’ve learned to a real-world problem, showing employers exactly what you can do.

Focus Areas

Business analytics models, data visualisation, predictive & prescriptive analytics, database management, ethical data use, real-world decision support

Learning Outcomes

You’ll graduate ready to analyse complex datasets, communicate insights clearly, use tools like Python and R with confidence, and make data-informed decisions that genuinely influence business outcomes.

Professional Alignment (Accreditation)

The Dundee School of Business is AACSB-accredited, which means your degree meets international standards and is recognised by employers worldwide.

Reputation (Employability & Rankings)

Graduates go on to roles like Business Analyst, Data Scientist, Consultant, or Data Management Specialist. The university supports you with careers guidance, networking opportunities, and strong employer links to help kickstart your professional journey.

Experiential Learning (Research, Projects, Internships etc.)

At Dundee, learning business analytics goes far beyond lectures. You’ll spend your time actually doing analytics, not just reading about it. From day one, you’ll be working with real datasets using industry-standard tools like Python and R, tackling projects that mirror the challenges analysts face in the workplace. The programme also connects you with employers and career services, giving you the chance to gain practical experience and make professional connections even before you graduate.

Here’s how you’ll get hands-on experience:

  • Specialist labs: Work with Python, R, and data visualisation software in labs designed for analytics practice, so you can experiment and learn in a realistic setting.

  • Industry-style projects: Apply your skills on real-world problems, such as predictive modelling and business decision-making scenarios, making your learning directly relevant to employers.

  • Internships: Take part in an eight-week placement arranged by the School of Business, where you can see your classroom knowledge in action and build your professional network.

  • Tailored master’s project: Choose a project that suits your goals — whether it’s an internship report, consultancy project with a real client, or a research-focused study — all designed to sharpen your problem-solving and analytical skills.

  • Guest lectures & networking: Meet industry experts who bring current insights and career advice straight into your learning, helping you understand what the field really looks like.

  • Supportive resources: Access career guidance, collaborative learning spaces, and digital tools that help you practice and grow your skills throughout the year.

Progression & Future Opportunities

Graduating from the MSc Business Analytics opens doors to a wide range of exciting careers. Many of our alumni move into roles like Business Analyst, Data Scientist, Consultant, Data Management Specialist, or Planning Manager, using the skills they’ve gained to help organisations make smarter, data-driven decisions. With your hands-on experience and practical projects, you’ll be ready to step straight into impactful work across finance, tech, consulting, healthcare, and beyond:

  • Personalised careers support: The University’s Careers Service and the School of Business team are here to guide you every step of the way, from one-to-one coaching to CV and interview workshops, networking events, and recruitment fairs tailored to your goals.

  • Strong employability focus: You’ll connect with employers through over 300 visiting organisations each year, giving you opportunities to build real professional networks while you study.

  • Industry placements: You can take an eight-week internship organised by the School, letting you apply your skills in a real workplace and gain experience that really counts on your CV.

  • Accreditation value: Studying at the AACSB-accredited Dundee School of Business adds global recognition to your degree, helping you stand out to employers worldwide.

  • Proven graduate outcomes: Many Dundee graduates move into rewarding roles immediately after finishing their MSc, benefiting from the strong career support and real-world experience gained throughout the programme.

Further Academic Progression:
If you’re keen to keep learning, you could continue with a research degree like an MPhil or PhD in Business Analytics or Data Science, building on your master’s project and research skills. Alternatively, professional qualifications in analytics, data science, project management, or business intelligence can help deepen your expertise and open doors to even higher-level roles.

Program Key Stats

£23,700
£11,000


Eligibility Criteria

2.4 - 2.99

NA
NA
NA
6.0
80
Third or 3rd
NA
60 - 79
65 - 70

Additional Information & Requirements

Country Requirements

Career Options

  • Business Analyst
  • Data Scientist
  • Data Management Specialist
  • Planning Manager
  • Consultant
  • Business Intelligence Analyst
  • Operations Analyst
  • Risk Analyst
  • Financial Analyst
  • Marketing Analyst
  • Project Analyst
  • Analytics Consultant
  • Strategy Analyst
  • Supply Chain Analyst
  • Data Engineer

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