)
Chemistry, Pharmacology and Drug Discovery at UEA
Find out more about studying Chemistry, Pharmacology and Drug Discovery at UEA, and browse our other courses.
Find out moreMSc Data Science for Chemistry
Key Details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- September 2026
Other Start Dates
Chat to us on Unibuddy
Any questions? Chat online with current students, staff and experts. This is your chance to ask anything about UEA, university life, Norwich and more.
Other Start Dates
Scroll For More
Why you should choose us
Course Overview
Chemistry is undergoing a digital transformation, and this MSc places you right at the centre of it. From pharmaceuticals and energy to sustainable materials and catalysis, industries now rely on AI, molecular modelling, and data‑driven chemistry to accelerate discovery and reduce costly laboratory work. Employers are actively seeking chemists who can design and test ideas in silico before they ever reach the bench - and this degree equips you with exactly those skills.
UEA’s MSc in Data Science for Chemistry will train you in computational chemistry, data science, machine learning, and AI‑assisted molecular design. You'll master the tools required to analyse complex chemical data, including Python, statistics and data visualisation. You’ll also learn to simulate chemical systems, analyse complex datasets, and build predictive models that guide and accelerate experimental work.
You’ll gain hands‑on experience with industry‑standard tools including molecular modelling software, and modern AI platforms used for property prediction, and materials screening. Your research project will enable you to apply these skills to real scientific challenges in chemistry and related areas.
You’ll join UEA’s vibrant School of Chemistry, Pharmacy and Pharmacology, working alongside researchers at the forefront of theory, modelling, and digital innovation. This supportive environment helps you develop both technical excellence and creative problem‑solving abilities. Along with a wealth of knowledge, you’ll gain prestigious connections and significant research experience.
Graduates with digital and AI‑enhanced chemistry skills are in high demand. This MSc gives you the expertise and confidence to pursue cutting‑edge roles in industry, research, and emerging fields shaping the future of chemical science.
)
Study and Modules
Structure
Our MSc in Data Science for Chemistry course is a full-time, one-year taught programme, designed for advanced students and practitioners.
The course is designed to equip you with specialist data science skills that are highly valued in research and industry. This interdisciplinary course will give you an excellent practical and theoretical grounding in Python programming, data mining, state-of-the art molecular modelling techniques for prediction of chemical structure, phenomena and properties and AI usage in screening chemical compounds while also giving you options to develop further practical skills in analytical methods in chemistry.
A key element of the course is your dissertation, which is an independent scientific research project. It’ll involve extensive independent study using data science methods to explore a chemistry topic of your choice, under the supervision of a faculty member.
Compulsory Modules
Optional A Modules
(Credits: 20)Important Information
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
On average, you’ll have around 15 hours of weekly contact time with teaching staff, though this may vary depending on your module choices. These sessions will include a combination of lectures, seminars, and laboratory classes. Seminars and lab sessions are designed to deepen your understanding of the material introduced in lectures.
Because the course includes both theoretical and practical components, you’ll gain hands-on experience using data‑mining techniques, statistical and chemistry modelling software.
You’ll also spend about 25 hours per week on independent study. This self-directed learning supports your formal teaching and gives you the chance to further develop your data‑analysis skills and knowledge.
A significant element of the course is your dissertation, which involves substantial independent research carried out with guidance from your supervisor.
Assessment
You’ll have a combination of individual and group assessments, including written work, presentations, and exams. These combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. The balance of assessment types varies according to the module options you choose.
A key feature of the MSc is the dissertation in which you’ll work closely with faculty to conceptualise, design and deliver an independent scientific research project.
Key to the project is the development of skills in applying data science techniques to real world questions. Your dissertation is assessed through a project proposal, a dissertation report, and a presentation.
Employability
After the Course
After graduation, you’ll be well prepared for a career in data analysis or data science with a focus on chemistry—an area of rapid growth offering exciting opportunities for career progression. If you’re interested in an academic path, the programme also provides a strong foundation for pursuing a PhD.
Careers
Examples of careers that you could enter include:
- Data scientist
- Computational chemist
- Data analyst
- Data miner
Discover more on our Careers webpages.
Entry Requirements
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical UK Entry Requirements
Degree classification
Bachelors degree - 2.2.
Degree Subject
Chemistry or a related joint discipline (depending on content).
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical International Entry Requirements
Degree classification
UK Bachelors degree - 2.2 or equivalent
Degree Subject
Chemistry or a related joint discipline (depending on content).
- English Foreign Language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
-
IELTS: 6.0 overall (minimum 5.5 in each component)
We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within 2 years of the course start date.
If you do not yet meet the English language requirements for this course, UEA International Study Centre offer a variety of English language programmes which are designed to help you develop the required English skills.
-
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
)
Fees and Funding
Tuition fees for the Academic Year 2026/27 are:
-
UK Students: £12,350
-
International Students: £25,700
We estimate living expenses at £1,171 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
How to Apply
How to apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form.
Further information
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
International candidates are also encouraged to access the International Students section of our website.