The MSc Data Science at Birmingham is a one-year full-time master’s that blends foundational and advanced data science techniques, practical work and a substantial individual project. It suits applicants from any background (including non-computing) who want to build skills in programming, data management, analytics, visualisation and data-driven decision making.
Curriculum Structure
Over the year, students take taught modules in two terms, followed by a summer project. In the Autumn Term, you’ll study core modules like Programming for Data Science, Storing and Managing Data, Algorithms for Data Science, Data Analytics, and Visualisation, giving you programming, data handling, algorithmic thinking and insight-generating skills. In the Spring Term, you continue with advanced compulsory modules such as Current Topics in Artificial Intelligence & Data Science, plus more data science projects (including a group project) to consolidate learning. In the Summer, the year culminates in the Data Science Project (60 credits), where you carry out an individual research or applied project under supervision.
Focus areas: “Programming for Data Science; Data Management; Algorithms; Data Analytics; Visualisation; Current topics in AI & Data Science; Individual Data Science Project”
Learning outcomes: “Acquire ability to program and manage large datasets; apply algorithmic and statistical methods to extract insights; master visualisation and data analytics techniques; integrate and apply these skills in a substantial independent project”
Professional alignment (accreditation): The programme is designed to match demand in industry, and is part of the Computer Science & Data Science School at Birmingham, aligning its curriculum with current needs in data roles.
Reputation (employability rankings): The University is ranked 5th in the UK for Computer Science in the Complete University Guide 2026 and in the top 100 globally in the QS World University Rankings 2026. Graduates are in demand across sectors such as tech, finance, government.
This Master's programme is designed to provide a comprehensive and practical foundation in computer science, equipping you with the robust programming and problem-solving skills needed to launch a successful tech career. You'll have access to our excellent facilities in the School of Computer Science, which houses modern computing laboratories, dedicated project spaces, and high-performance computing resources. Your learning is powered by industry-standard development tools and features hands-on projects that simulate real-world software development challenges, giving you the practical experience that employers in the tech sector value.
Here’s how you’ll gain practical, industry-relevant experience:
Industry-Standard Development Tools: You'll gain proficiency in essential professional tools and languages including Java and Python for programming, Git for version control, SQL for databases, and modern software development environments.
Birmingham Software Projects: A key feature of your degree is the series of practical programming projects where you'll work individually and in teams to design, implement, and test software applications, developing crucial development and collaboration skills.
Object-Oriented Programming Laboratory: You will work in our dedicated computing labs, equipped with modern development environments and tools for learning core programming concepts and software design principles.
Algorithms and Data Structures Practicals: You'll implement and test fundamental algorithms and data structures in our computing laboratories, understanding their practical performance and applications.
Database and Web Laboratory: You'll use our specialised computing facilities to develop database-driven applications and learn web development technologies.
Graduates from Birmingham’s MSc Data Science programme enter roles like software developer, systems engineer, data analyst, or technical consultant—well-equipped with both theory and practical skills. Remarkably, 100% of UK-resident graduates are either employed or pursuing further study within 15 months, with a 0% unemployment rate and a median salary of £29,000, showcasing the programme’s real-world impact and strong career alignment.
Progression & Future Opportunities:
Here’s how Birmingham actively supports your academic and professional growth:
University Services to Boost Employability
The institution’s Careers Network provides tailored, subject-specific support including CV & cover letter workshops, mock interviews, networking events, and employer presentations. This is all aimed at helping you land competitive roles or position yourself for postgraduate progression.
Employment Stats & Salary Figures
As stated, MSc graduates enjoy profound early outcomes with 100% employed within 15 months and a median salary of £29,000. These figures emphasize the degree’s effectiveness in preparing students for dynamic computing careers.
University–Industry Partnerships
Birmingham’s School of Computer Science hosts specialist careers fairs, strong industry connections, and a departmental Careers Officer providing direct support. Employers range across sectors—from public, private, tech, finance, to consulting—ensuring access to networks and target roles.
Long-Term Accreditation Value
While the MSc isn't professionally accredited, it comes from one of the UK’s top Computer Science departments—ranked 5th in the Complete University Guide 2026—adding considerable academic prestige and recognition across both industry and academia.
Graduation Outcomes
You'll graduate with not only a solid technical foundation but also polished employability, access to career support, and a credible degree from a highly regarded department—positioning you well for roles in software engineering, systems analysis, data science, or for further academic advancement.
Further Academic Progression:
Equipped with this MSc, many graduates move into PhD research, particularly in areas like AI, cybersecurity, or software systems, either within Birmingham or internationally. The programme’s substantial project and academic rigour make you a strong candidate for such next steps.



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