Business Data Analytics MSc

1 Year On Campus Masters Program

Bangor University

Program Overview

The MSc Business Data Analytics at Bangor University is designed for students who want to turn data into meaningful business decisions, combining analytical thinking with real-world business application. It’s a great fit if you’re aiming for roles in analytics, finance, consulting, or technology and want practical skills that employers genuinely value.

Curriculum Structure

Stage of Study
This MSc is delivered across two teaching semesters followed by a summer project or dissertation, giving you an intensive but well-structured learning journey where skills build naturally from foundations to application.

Semester 1:
You’ll start by developing strong technical and analytical foundations through modules such as Coding and Programming, Data Science, and Statistical Methods. Alongside this, Research Methods will help you understand how to structure investigations and analyse data confidently in a business context.

Semester 2:
In the second semester, the focus shifts to applying analytics within business and financial environments. You’ll explore advanced topics linked to Business Data Analytics, with optional modules that can include areas like Financial Technology, Entrepreneurship, Financial Markets, or Portfolio Management, allowing you to tailor the degree to your career interests.

Summer Project / Dissertation:
The programme concludes with an independent Project or Dissertation, where you apply your skills to a substantial, real-world problem. Students can also choose the CFA specialist pathway, gaining structured preparation for the CFA Level 1 exam, which is highly respected in the global finance industry.

Focus areas

business data analytics, programming for analysis, statistical modelling, financial technology, research and applied analytics, decision-making using data

Learning outcomes

ability to analyse and interpret complex datasets, apply programming and analytical tools to business problems, communicate insights clearly to non-technical audiences, and carry out independent, high-level research or applied analytics projects

Professional alignment (accreditation)

Optional Chartered Financial Analyst (CFA) specialist pathway, supporting preparation for the CFA Level 1 exam at no additional tuition cost

Reputation (employability rankings)

Bangor University has a strong reputation for employability and applied learning, with programmes designed to align closely with industry needs and employer expectations, particularly in business, finance, and analytics fields

Experiential Learning (Research, Projects, Internships etc.)

On the MSc Business Data Analytics at Bangor University, learning is very hands-on from day one. You won’t just study how analytics works — you’ll actively use data, code, and analytical tools in computer lab sessions, small group classes, and practical coursework designed to reflect how analytics is used in real business settings. As you progress, you’ll apply these skills through collaborative work and a substantial project or dissertation, giving you the confidence to move straight into analytics-focused roles after graduation.

All of this practical learning is supported by Bangor’s strong academic environment and modern facilities, helping you build real, job-ready experience along the way:

Computer-based lab teaching where you practise coding, data analysis, and statistical techniques in a supported, hands-on environment
Applied coursework and group projects that encourage teamwork, problem-solving, and clear communication of data insights
Independent project or dissertation focused on a real business or analytical problem, allowing you to showcase your skills in depth
Optional CFA specialist pathway, offering structured training and research seminars to prepare for the globally recognised CFA Level 1 exam
Access to extensive IT facilities, including 24-hour computer rooms and specialist software to support analytics work
Well-resourced university libraries and online databases to support research, data analysis, and independent study

Progression & Future Opportunities

Graduating from the MSc Business Data Analytics at Bangor University opens the door to a wide range of data-driven careers where strong analytical thinking really makes a difference. Many graduates move into roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, or Financial Analyst, using their skills to support smarter decision-making across sectors like finance, consulting, technology, and marketing — and that’s where the next step naturally begins:

Careers and Employability support at Bangor, offering one-to-one career guidance, CV and LinkedIn support, interview preparation, skills workshops, and access to Bangor’s online job portal to help you confidently transition into employment
Strong graduate outcomes across the university, with most Bangor postgraduates progressing into professional roles or further study shortly after completing their degree, reflecting employer demand for analytics and business skills
Industry exposure and work-related opportunities, supported by academic teams and careers staff, including help with self-sourced placements, project-based learning, and employer engagement activities
Added professional value through the CFA specialist pathway, giving you preparation for the globally recognised Chartered Financial Analyst (CFA) Level 1 exam, which can significantly strengthen long-term career prospects in finance and investment
Flexible graduation outcomes, allowing graduates to move into analytics-focused roles or broader business positions where data insight and strategic thinking are essential

Further Academic Progression:
After completing this MSc, you can continue your studies by progressing to doctoral (PhD) research in areas such as business analytics, data science, or finance at Bangor or other universities. Some graduates also choose to build on their degree with advanced professional qualifications, including further CFA levels or specialist certifications in analytics and data technologies, to support long-term career growth.