For those already working in IT, the Data Science prorgamme at Birkbeck, University of London is an ideal opportunity to strengthen and update your knowledge and skills in the areas of data science and software engineering, while obtaining a formal Master's qualification in this area of emerging importance.
You will gain a broad knowledge of computing and acquire programming and data analysis skills, as well as comprehensive, practical problem-solving and analytical skills. You will also critically explore current research and methodologies and have the opportunity to investigate an area of current research in more depth via a project.
- Our Department of Computer Science and Information Systems is one of the longest established in the world - we celebrated our sixtieth anniversary in 2017. Our research dates back to the late 1940s, when one of the first electronic computers was developed at Birkbeck by Dr Andrew Booth. We now house the Computational Intelligence Research Group and the Information Management and Web Technologies Research Group, both of which collaborate with other research groups and with industry, in the UK and abroad, and undertake interdisciplinary research in the life, natural and social sciences, and the humanities.
- We provide a stimulating teaching and research environment, with academic specialists in all fields, including information and knowledge management, web and pervasive technologies, computational intelligence, and information systems development, among others.
- You will have 24-hour access to laboratories of networked PCs with a range of language compilers, database and other application software. We are connected, via the SuperJANET network, to the computers of other academic institutions in London, elsewhere in the UK and abroad.
- The Birkbeck Knowledge Lab draws on multi- and interdisciplinary perspectives and methodologies from across the sciences, social sciences and the arts, to investigate how digital technologies and digital information are transforming our culture and how we learn and work.
- In the 2014 Research Excellence Framework (REF), more than 75% of our research outputs in Computer Science were ranked world-leading or internationally excellent.
Careers and Employability
Graduates go on to careers in software engineering, information systems management, consultancy, or research. Possible professions include database administrator, IT consultant, or systems developer. This degree can also be useful in becoming a systems analyst, information systems manager, IT sales professional, or technical author.
- Big Data Analytics using R
- Computer Systems
- Data Science Techniques and Applications
- Fundamentals of Computing
- Principles of Programming
- Programming with Data
- 12 months
Start dates & application deadlines
- StartingApply anytime.
You are strongly advised to apply now, to ensure there are still places on your chosen course and to give you time to complete the admissions process.
More informationGo to the programme website
DisciplinesData Science & Big Data View 196 other Masters in Data Science & Big Data in United Kingdom
- The degree is designed for graduates who are new to computer science, so the main requirement is a second-class honours degree, or equivalent, in any subject other than single-honours Computer Science, along with demonstrated aptitude as tested during the application process.
- Applicants with less than the required level of academic qualification may be considered if they have significant experience in the IT industry.
International15200 GBP/yearTuition FeeBased on the original amount of 15200 GBP per year and a duration of 12 months.
EU/EEA8900 GBP/yearTuition FeeBased on the original amount of 8900 GBP per year and a duration of 12 months.
Check the programme website for information about funding options.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.