UNIVERSITY OF WARWICK · UNITED KINGDOM
Business Analytics & Artificial Intelligence (MSc)
Master's · Taught in en · UCAS TIBS-NI01
At a glance
12 mo
Duration
—
IELTS
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Tuition / yr
en
Language
Master's
Level
- 9th in the UKGuardian University Guide 2026, The Times and Sunday Times Good University Guide 2025, The Complete University Guide 2026
- 6th Most Targeted Universityby the UK's top 100 graduate employers (The Graduate Market in 2024)
- 74th in the WorldQS World University Rankings 2026
- Gold standard teachingTeaching Excellence Framework 2023
- 92% of researchassessed as 'world-leading' or 'internationally excellent' (Research Excellence Framework 2021)
This Master of Science (MSc) program, a relaunch of the previous Business Analytics MSc, focuses on equipping students with the skills to leverage Artificial Intelligence (AI) and advanced analytical techniques for business problem-solving. You will gain expertise in AI, statistical methods, optimization, and machine learning, applying these to real-world business challenges. The curriculum emphasizes cross-disciplinary training, combining business models with quantitative methods and data science to prepare graduates for dynamic careers in the evolving business landscape. You'll learn industry-standard analytical tools and techniques, including data visualization with Tableau.
Curriculum
The MSc Business Analytics & Artificial Intelligence program is designed to provide comprehensive training in modern analytical techniques.
- Year 1
Careers
The MSc in Business Analytics & Artificial Intelligence is designed to prepare graduates for a wide range of roles in data analysis, AI implementation, and strategic business decision-making. The University offers comprehensive careers support to help students develop their professional skills and achieve their career aspirations.
- Data Scientist
- Business Analyst
- AI Specialist
- Data Analyst
- Business Intelligence Analyst
- Management Consultant
Frequently asked questions
- What are the entry requirements for the MSc Business Analytics & Artificial Intelligence program?
- A strong undergraduate degree from a recognized institution is required. Your degree should have provided you with a solid quantitative foundation, and while specific subjects are not detailed, a quantitative or business background is likely beneficial. You should also ensure you meet the program's English language requirements.
- What are the tuition fees and living costs for this program?
- Tuition fees and estimated living costs for 2026 entry are not specified on the program page. It is important to verify all fee and cost information directly with the University of Warwick before applying, as these details are subject to change. Please refer to the University's official fee pages and postgraduate guidance for the most up-to-date information.
- What is the duration of the MSc Business Analytics & Artificial Intelligence program?
- The program is a Master of Science (MSc) degree, typically completed over one academic year for full-time study.
- What career paths can graduates pursue after completing this MSc?
- Graduates are prepared for roles such as Data Scientist, Business Analyst, AI Specialist, Data Analyst, Business Intelligence Analyst, and Management Consultant. The University offers careers support to help students achieve their professional aspirations.
- How do I apply for the MSc Business Analytics & Artificial Intelligence program?
- You can apply through the University of Warwick's postgraduate application portal. This involves reviewing entry requirements, preparing documents like transcripts and a personal statement, submitting references, and then awaiting a decision. Specific details on application opening dates for 2026 entry should be checked on the University website.
Entry requirements
Undergraduate DegreeA strong undergraduate degree from a recognized institution is required. Specific subject requirements are not detailed but a quantitative or business background is likely beneficial.
Information on specific academic entry requirements, including grade equivalencies for international qualifications, should be sought directly from the university. Applicants should ensure their undergraduate degree has provided them with a solid quantitative foundation.
Fees
Tuition (international)Tuition fees for 2026 entry are not specified on the program page. Please check the University's official fee pages for the most up-to-date information.
Tuition (home)Tuition fees for 2026 entry are not specified on the program page. Please check the University's official fee pages for the most up-to-date information.
LivingEstimated living costs for 2026 entry are not specified on the program page. Please refer to the University's general postgraduate guidance for typical living expenses.
It is important to verify all fee and cost information directly with the University of Warwick before applying, as these details are subject to change.
How to apply
1. Review Entry RequirementsEnsure you meet the academic and English language requirements for the MSc Business Analytics & Artificial Intelligence program.
2. Prepare Application DocumentsGather necessary documents, which typically include academic transcripts, degree certificates, a personal statement, and references. For international applicants, English language test results (e.g., IELTS) may be required.
3. Complete the Online Application FormSubmit your application through the University of Warwick's postgraduate application portal. You will need to provide personal details, educational history, and upload supporting documents.
4. Submit ReferencesArrange for academic or professional referees to submit references directly to the university. Check the specific requirements for your referees.
5. Await DecisionThe admissions team will review your application. You will be notified of the outcome via the application portal or email. Decisions may include an offer of admission, a request for further information, or a rejection.
6. Accept OfferIf you receive an offer, follow the instructions to accept it by the specified deadline. International students will need to arrange for their visa application.
Accreditation
Warwick Business School (WBS) is accredited by all three major international business education bodies: AACSB, EQUIS, and AMBA.
Frequently asked questions
What are the entry requirements for the MSc Business Analytics & Artificial Intelligence program?
+
A strong undergraduate degree from a recognized institution is required. Your degree should have provided you with a solid quantitative foundation, and while specific subjects are not detailed, a quantitative or business background is likely beneficial. You should also ensure you meet the program's English language requirements.
What are the tuition fees and living costs for this program?
+
Tuition fees and estimated living costs for 2026 entry are not specified on the program page. It is important to verify all fee and cost information directly with the University of Warwick before applying, as these details are subject to change. Please refer to the University's official fee pages and postgraduate guidance for the most up-to-date information.
What is the duration of the MSc Business Analytics & Artificial Intelligence program?
+
The program is a Master of Science (MSc) degree, typically completed over one academic year for full-time study.
What career paths can graduates pursue after completing this MSc?
+
Graduates are prepared for roles such as Data Scientist, Business Analyst, AI Specialist, Data Analyst, Business Intelligence Analyst, and Management Consultant. The University offers careers support to help students achieve their professional aspirations.
How do I apply for the MSc Business Analytics & Artificial Intelligence program?
+
You can apply through the University of Warwick's postgraduate application portal. This involves reviewing entry requirements, preparing documents like transcripts and a personal statement, submitting references, and then awaiting a decision. Specific details on application opening dates for 2026 entry should be checked on the University website.