Typical entry requirements:
An honours degree 2:2 or above (or international equivalent) in any discipline.
We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.
Select your region to find detailed information about entry requirements:
Africa
Americas
Central Asia
East Asia
Europe
Middle East
South Asia
South East Asia
You can view our full list of country specific entry requirements on our Entry requirements page.
Alternatively, visit our International hub for further advice and guidance on finding in-country agents and representatives, joining our in-country events and how to apply.
An honours degree 2:2 or above (or international equivalent) in any discipline.
We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.
If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
For more information on our approved English language tests visit our English language requirements page.
Our Business Analytics MSc course aims to teach you to interpret data, uncover new patterns and relationships, make predictions, and drive informed, smart business decisions.
Throughout this course, you should learn to:
Develop your mindset: nurture and strengthen your strategic thinking, communication and research capabilities to become an effective data analyst.
Develop specialised, practical skills in data analytics: this course integrates core management skills and knowledge, which are then developed, refined and made more specialised for working in the data analytics sector.
Applied, real-world teaching: a key part of the teaching approach is accessing multiple data resources, which need to be analysed and communicated to managers, to help inform evidence-based management decision-making.
Industry-approved software utilisation: the course uses industry-standard software to apply analytical techniques, such as Power BI, Advanced Microsoft Excel, SPSS, Google Analytics and NVivo. 4
External project consultancy opportunities: there will be opportunities to engage with external consultancy projects with a real client or undertake an individual academic research dissertation.
Fast-track your professional status: successful graduates can apply to upgrade from Student Member to Associate Member status with the Institute of Analytics , subject to IoA requirements and approval.
for overall satisfaction in Business and Management
Postgraduate Taught Experience Survey (PTES) 2026 (ranked out of 85 HEIs)
This course is accredited 1 by the Institute of Analytics (IoA) . Accreditation is valid until 31 July 2029.
Students on this course are eligible to apply for IoA Student Membership , which may give them access to professional resources, networking opportunities and industry-related information provided by the IoA. Membership applications are subject to IoA approval and additional membership fees apply. See the IoA website for the most up-to-date information.
The module People, Relationships and Leadership in Practice meets the criteria set by the Chartered Management Institute (CMI) for the CMI Level 7 Certificate in Strategic Management and Leadership Practice. Students who successfully pass this module will be eligible to gain the award as an additional qualification at no additional cost.
The course has been a life-changing and enriching experience. A culture of creativity and critical thinking was promoted by the collaborative learning environment. The course has helped me develop my analytical skills and set me up for success in the fast-paced industry of business analytics.
International analytics competition winner
Our Business Analytics MSc student, Onyinyechi Chelsea Nwokoro, was one of six winners in the IoA Student Sprint 2025 Analytics Task Challenge , an international competition with around 100 students. The event simulated a real employer-led analytics assessment, requiring participants to analyse a real dataset, present findings, answer interview-style questions and work under time pressure. Onyinyechi’s success highlights how the course develops technical, communication and problem-solving skills for careers in data and analytics.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 8 位 | 伦敦大学学院University College London | 1年 | 48600英镑/年 |
| 第 10 位 | 新加坡国立大学National University of Singapore | 1年 | 87550新币/年 |
| 第 11 位 | 香港大学The University of Hong Kong | 2年 | 234000港币/年 |
| 第 12 位 | 南洋理工大学Nanyang Technological University | 1年 | 71940新币/年 |
| 第 18 位 | 香港中文大学The Chinese University of Hong Kong | 1年 | 400000港币/年 |
| 第 33 位 | 香港科技大学The Hong Kong University of Science and Technology | 1年 | 415000港币/年 |
| 第 35 位 | 爱丁堡大学The University of Edinburgh | 1年 | 36540英镑/年 |
| 第 55 位 | 卡内基梅隆大学Carnegie Mellon University | 9个月 | 66820美元/年 |