Overview
The Applications of Data Science course from the University of Birmingham will equip you with the applied data science expertise needed to address complex, real-world challenges, with a particular emphasis on advancing the United Nations Sustainable Development Goals (SDGs). Unlike theory-heavy courses, our programme prioritises practical implementation, enabling you to use data science as a tool for meaningful societal impact.
Career opportunities:
Once you graduate from the MSc Applications of Data Science you will be well-positioned for careers in roles such as Data Scientist, Sustainability Analyst, Data Strategist, and Policy Advisor, where you can influence evidence-based decision-making in sectors including environmental management, public health, and international development. If you are seeking further academic progression, the programme provides a strong foundation for doctoral research in data science, sustainability analytics, or related interdisciplinary fields.
Get ready for tomorrow, with advice, guidance and opportunities at every step of your studies. From developing new skills to preparing for a PhD, our Careers Network can help you gain an advantage in the job market or advance in your field.
Whatever you plan to do after your degree, the Careers Network offers a range of events and support services including networking opportunities, career coaching, one-to-one guidance, careers fairs and links with leading graduate recruiters. We also offer subject-specific careers consultants and a dedicated careers website for international students.
Programme Structure
Courses include:
Applications of Statistics in Finance and Economics
Communicating Data
Data Visualisation and Applications
Data in Education
Storing and Managing Data
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Birmingham, United Kingdom
Disciplines
Data Science & Big Data View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- To gain a place at Birmingham you will need to meet our general entry requirements, as well as those specific to your course. Your application will be reviewed by the course’s Admissions Tutor, who will decide whether your application should receive an offer.
- 2:1 or better in a STEMM+ discipline
- The programme is not designed for recent graduates of Computer Science but could be taken by those returning to study. This programme is specifically designed for those from a numerate discipline who are proficient in using calculus or have a grade A in A-level Mathematics.
Tuition Fees
-
International Applies to you
Applies to youNon-residents30420 GBP / year≈ 30420 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11250 GBP / year≈ 11250 GBP / year
Living costs
Birmingham
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Applications of Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility