Become a competent analytics professional using artificial intelligence, statistics and operational research to tackle complex business and societal challenges.
Year of entry: 2025 (September)
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Upcoming eventsLaunch your data-driven career, and master business analytics to excel in the marketplace.
Our MSc in Business Analytics provides an in-depth understanding of data science principles and analytics techniques. Taught by leading analytics researchers and practitioners, it will equip you with essential skills in data science, artificial intelligence, machine learning, statistics, operational research, computer programming, and their various applications within business and society.
You will be capable of driving data-driven solutions, contributing to business and societal advancements, and innovating within your future ventures. With an emphasis on social responsibility and environmental sustainability, this MSc offers the knowledge and skills needed to ensure that you can address real-world challenges both effectively and ethically.
The Church Lane Building features modern teaching rooms, a café, and spaces for group work and socialising.
Our distinguished faculty includes authors of world-leading textbooks, which are taught on this programme.
We use Python as the main programming language for the essential data science and analytics modules. This includes computer programming, artificial intelligence, machine learning, statistics, operational research, and data communication. These modules aim to give a thorough understanding of the business analytics life cycle, covering descriptive, predictive, and prescriptive analytics.
Alongside our core curriculum, we offer a wide selection of option modules across various business and management, social science, science, and engineering disciplines. This variety enables you to customise your studies to align with your particular interests, focusing on advanced data science and analytics methods as well as business and societal applications.
Whether your focus is on operations management, supply chains and logistics, international business and strategy, entrepreneurship and innovation, human resources, accounting and finance, public policy or social work, you can extend your expertise in areas that impact both business and society. Throughout your time on the course, you will develop independent research skills; this essential work leads to an applied-focus dissertation project, allowing you to put what you have learned into practice in real-world situations.
You will study two option modules, one from List A (business and societal applications) and the other from List B (advanced data science and analytics methods). Examples can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course.
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
Dissertation in Business Analytics (Applied)
Every course at York is built on a distinctive set of learning outcomes. These will give you a clear understanding of what you will be able to accomplish at the end of the course and help you explain what you can offer employers. Our academics identify the knowledge, skills, and experiences you'll need upon graduation and then design the course to get you there.
| Study mode | UK (home) | International and EU |
|---|---|---|
| Full-time (1 year) | £13,300 | £31,900 |
Students on a Student Visa are not currently permitted to study part-time at York.
Fees for students starting in the 2025/26 academic year.
UK (home) or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status.
Find out more information about tuition fees and how to pay them.
Discover your funding options to help with tuition fees and living costs.
We'll confirm more funding opportunities for students joining us in 2025/26 throughout the year.
If you've successfully completed an undergraduate degree at York you could be eligible for a 10% Masters fee discount.
We are pleased to work with Chevening Scholars to offer funding for our Masters programmes. Chevening Scholarships provide one year of fully-funded postgraduate study in the UK for international (including EU) students. The scholarships are open to early and mid-career professionals who have the potential to become future leaders.
You can use our living costs guide to help plan your budget. It covers additional costs that are not included in your tuition fee such as expenses for accommodation and study materials.
You’ll work with world‐leading academics who’ll challenge you to think independently and excel in all that you do. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace.
The course is taught as a combination of lectures and practical workshops, with most modules featuring more workshops than lectures. The teaching is heavily focused on practical data science and business analytics skills with the Python programming language that you will apply in the real world, rather than on theory and underlying technologies.
We have well-equipped computer classrooms for you to access, each with a wide-range of installed software on Windows, Mac and Linux-based operating systems.
You will be based in the School for Business and Society on Campus West. Most of your teaching will take place in the Church Lane Building, with additional contact hours elsewhere on Campus East and Campus West.
Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around campus - everything is within walking or pedalling distance, or you can always use the fast and frequent bus service.
Each module consists of 20 credits, with the final research task totalling 60 credits. You will be assessed through computer programmes, written reports, oral presentations and a poster.
This course will equip you with a comprehensive set of skills essential for today’s data-driven marketplace. You'll learn from world-leading academics in data science, artificial intelligence, machine learning, statistics, business analytics, and operational research, and engage with cutting-edge thought leadership in social responsibility, environmental sustainability, and business model innovation.
The course offers numerous opportunities to apply your knowledge through solving complex real-world problems, case studies, and group projects. Our approach to teaching and assessment ensures you can practice and refine your skills in practical contexts. You'll also have the opportunity to complete an applied dissertation, further enhancing your employability and practical experience.
| Typical offer | |
|---|---|
| Undergraduate degree | A 2:2 or equivalent in an undergraduate degree in any subject, provided that previous studies have included computer programming and quantitative methods such as calculus, linear algebra, probability, and statistics. |
| Other international qualifications | Equivalent qualifications from your country |
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
| Minimum requirement | |
|---|---|
| IELTS (Academic and Indicator) | 6.5, minimum 6.0 in each component |
| Cambridge CEFR | B2 First: 176, with 169 in each component |
| Oxford ELLT | 7, minimum of 6 in each component |
| Duolingo | 120, minimum 105 in all other components |
| LanguageCert SELT | B2 with 33/50 in each component |
| LanguageCert Academic | 70 with a minimum of 65 in each component |
| Kaplan Test of English Language | 459-494, with 426-458 in all other components |
| Skills for English | B2: Merit overall, with Pass with Merit in each component |
| PTE Academic | 61, minimum 55 in each component |
| TOEFL | 87, minimum of 21 in each component |
| Trinity ISE III | Merit in all requirements |
For more information see our postgraduate English language requirements.
You may be eligible for one of our pre-sessional English language courses. These courses will provide you with the level of English needed to meet the conditions of your offer.
The length of course you need to take depends on your current English language test scores and how much you need to improve to reach our English language requirements.
After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York.
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