Data science skills are now in huge demand across every field of science from particle physics to ecology, from drug design to climate change.
This course will equip you with the skills needed to solve data science questions in different fields of science, and to be agile enough to adapt to new fields and challenges as economic and scientific demands change.
You'll concentrate on the skills which data scientists apply on a daily basis to perform data analyses and to rigorously evaluate the results of those analyses, rather than focussing on theoretical bases or algorithmic structure. This approach will equip you with the skills to succeed even if you don't come from such a formal mathematical or computational background.
for Chemistry according to the Complete University Guide 2024
First academic department in the UK to receive an Athena SWAN Gold Award for commitment to gender equality in higher education
The majority of our research was rated 4*, the highest rating in the 2021 Research Excellent Framework
Over the year, you will study four core modules and two option modules. You will be able to choose option modules that explore a range of different fields, allowing you to tailor the degree to your own academic interests.
You will learn a range of practical skills that are used by data scientists every day, and you will be able to use these skills across a range of different disciplines in future careers. We will also teach you how to read literature from new disciplines, so that you can be prepared to apply that knowledge to new fields.
You will also study two option modules:
Our modules may change to reflect the latest academic thinking and expertise of our staff.
Previous research projects within the department include:
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.
I chose York because of the friendly and caring atmosphere, and the amazing labs. The lecturers are really passionate about what they teach and they're always willing to help.
Chiara, Chemistry student.
|Study mode||UK (home)||International and EU|
|Full-time (1 year)||£12,480||£29,400|
Students on a Student Visa are not currently permitted to study part-time at York.
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 2024/25 throughout the year.
If you've successfully completed an undergraduate degree at York you could be eligible for a 10% Masters fee discount.
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 skills that you will apply in the real world (including the python programming language), 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 and Linux-based operating systems.
Most of your teaching will take place in the Department of Chemistry, which is located adjacent to the Science Park, with occasional sessions elsewhere on Campus West. The majority of departments, colleges and facilities are based nearby.
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.
In 2020, the Emerging Job report from LinkedIn listed data scientist at #3, highlighting the demand for this field.
This course will equip you with the essential professional skills and tools that data scientists apply on a daily basis. You will learn to work across disciplines and to communicate with non-specialists, allowing you to move with the demands of the sector.
You'll learn about different types of data, the ethical and practical issues of handling such data, and how to articulate these skills to employers. All of these skills will ensure you are able to work in diverse environments and different job markets.
|Undergraduate degree||2:1 or above in Physics, Chemistry, Biology, Environment, Healthcare, Mathematics, Computer Science or another numerical science|
|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:
|IELTS (Academic and Indicator)||6.0, with a minimum of 6.0 in Writing and no less than 5.5 in all other components|
|Cambridge CEFR||B2 First: 169, with a minimum of 169 in Writing and no less than 162 in each component|
|Duolingo||105, minimum 105 in Production and 95 in all other components|
|LanguageCert SELT||B2: 33/50 in each component|
|LanguageCert Academic||65, with a minimum of 65 in writing and no less than 60 in all other components|
|KITE||426-458, with 426-458 in writing and 396-425 in all other components|
|Skills for English||B2: Pass with Merit overall, with Pass with Merit in writing and Pass in all other components|
|PTE Academic||55, with a minimum of 55 in Writing and no less than 51 in all other components|
|TOEFL||79, with a minimum of 17 in Listening, 18 in Reading, 20 in Speaking and 21 in Writing|
|Trinity ISE III||ISE: level 3 with Pass in all components|
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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