
Business Data Analytics
Bangor UniversityBangor, United Kingdom
Course overview
Highlights
Our Business Data Analytics degree blends business acumen, technical proficiency, and practical skills in programming (R and Python), statistical learning, machine learning and data driven decision making. Designed after discussions with partners from a range of industries including finance, accounting, health, consulting and more, it prepares you to become a next generation business leader and entrepreneur. Research and practitioner-informed teaching from highly qualified and experienced staff.
Some staff have significant global industrial experience, others actively research business, management, and marketing. Our expertise covers statistical learning, machine learning, predictive analytics, finance, fintech, banking, strategic management, economics, fiscal management, sustainability, and resource management. Develop skills in logic, analysis, statistics, and maths, using industry-standard tools including Bloomberg terminals, CapitalIQ Pro, and R and Python programming languages.
Course overview
Bridging the gap between business and technology, this degree in Business Data Analytics is designed to meet employer needs now and in the future. The digital revolution has disrupted business as we knew it, data is now the lifeblood of modern enterprises. This degree in Business Data Analytics combines a solid grounding in business operations and strategic management with the practical and technical skills to extract, analyse and report on business data.
You’ll learn to interrogate complex datasets and generate valuable insights needed to make informed decisions to drive business success. From identifying cost savings and efficiencies to tailoring customer experiences or maximising the value of the supply chain. In our trading room, you’ll have access to current and historical financial data for the UK and overseas markets, and the same tools and software used by the world’s leading banks, corporations, governments, and government agencies.
At Bangor Business School, we regularly work with international institutions such as the European Central Bank (ECB), Bank for International Settlements (BIS), and policymakers in government, regulators, and financial sector. You will be taught by staff with real data analytics industry project experience. Read more Course options
Placement year
What is the Placement Year? This exciting opportunity allows you to spend a year working with a self-sourced, professional organisation relevant to your studies. You'll typically start between June and September of your second year and finish by the following June or September.
Placements can be UK-based or even overseas. Why choose a Placement Year? Gain practical experience that complements your academic learning Make valuable industry contacts that could open doors for future careers Strengthen your employability by gaining real-world experience.
How does the Placement Year work? With dedicated support from your Academic School and our Careers and Employability Services, you will be fully equipped to find the perfect placement to complement your degree. We will guide you through the process of securing and finalising your placement arrangements.
Is the Placement Year for you? There is no need to decide now. You will have the chance to explore the Placement Year option after starting your course at Bangor University.
We'll provide all the information you need to make an informed decision. Ready to find out more? Discover the exciting work experience opportunities available by visiting the Work Experience During Your Degree section on our website.
International Experience Year What is the International Experience Year? Take your studies to the next level and graduate with ‘International Experience' in your degree title. This degree offers an optional additional International Experience Year, giving you the chance to spend a year abroad.
Why choose an International Experience Year? Expand your horizons and gain a fresh…
Key highlights
- Practical programming in R and Python for business data analysis
- Covers statistical learning, machine learning and predictive analytics
- Trading room with Bloomberg terminals and CapitalIQ Pro
- Designed with partners from finance, accounting, health and consulting
- Optional placement year with a UK or overseas organisation
- Taught by staff with real data analytics industry project experience
Entry requirements
- GCSE: C/4 — to include Mathematics
- UCAS tariff points: 104-128 — Offers are tariff based, 104 - 128 tariff points from a Level 3 qualification* e.g.: A Levels: General Studies and Key Skills not normally accepted BTEC National Extended Diploma: DMM - DDM Cambridge Technical Extended D…
- BTEC: DMM-DDM — BTEC National Extended Diploma
- Welsh Baccalaureate — We will accept this qualification in conjunction with othe
Scholarships
Alumni Scholarship
£1,000 in addition to any other international scholarship awarded by Bangor University, UK (excluding the Vice-Chancellor scholarship), awarded for each year of study.
Up to £1,000Deans Scholarship
Undergraduate: £6,000 (per year of study); Postgraduate: £6,000.
Up to £6,000International Scholarships
Undergraduate: £4,000 minimum (per year of study); Postgraduate: £6,000.
Start-Up Bursaries
Start Up Bursaries of £1,000 are available to those students (aged under 25) entering the University from care.
Up to £1,000Vice-Chancellor Scholarship
Undergraduate & Postgraduate Taught - £10,000
Up to £10,000
Careers this course leads to
- Business Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Financial Analyst
- Management Consultant
- Entrepreneur
Cost of study
UK/Home: £9,790 | International: £19,000
Admission
Applications are made through AHZ at no cost. Share your transcripts, English test scores and personal statement, and your AHZ Counsellor will review your profile, submit your application to Bangor University, and guide you through interview, offer, CAS and visa — right up to enrolment.
Ready to start?
Book a free consultation and we'll map your fastest route to a September 2026 place.
