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.
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 in the Church Lane Building 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. Find out more about our facilities in the Church Lane Building.
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.
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
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 .
You can apply and send all your documentation online. You don’t need to complete your application all at once: you can start it, save it and finish it later.
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