Data Science (with Industrial Experience)
Lancaster University
UCAS Code: G903 | Master of Science (with Honours) - Msci (Hon)
Entry requirements
A level
Subject requirement: A in A level Mathematics or Further Mathematics
May occasionally be accepted
International Baccalaureate Diploma Programme
36 points overall with 16 points from the best 3 Higher Level subjects including 6 in HL Mathematics (either analysis and approaches or applications and interpretations)
May be considered alongside A level Mathematics or Further Mathematics with grade A
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Data science plays a vital role in all aspects of the modern world. Our programme will ensure you have a strong foundation in this rapidly expanding, highly in-demand field to achieve your career aspirations.
Our programme delivers a broad yet rigorous grounding in computer science and statistics, adopting both theoretical and practical learning approaches. You will gain cutting-edge knowledge and skills through state-of-the-art equipment and excellent teaching offered by both the School of Computing and Communications and the Department of Mathematics and Statistics.
This engaging programme, and our reputation for excellence in research, means that you will receive high quality teaching delivered by academics who are experts in their field. Throughout the three years, you will develop a range of discipline specific skills and gain specialist knowledge that will prepare you for your chosen career.
During your first year, you will gain a comprehensive understanding of the fundamental principles of computer science, and will simultaneously develop your knowledge and understanding of mathematical methods and concepts. Bringing these two fields together into data science fundamentals, you will also enhance your data analysis, problem-solving and quantitative reasoning skills.
In the second year, you will further deepen your knowledge in linear algebra, probability and statistics, as well as your foundational understanding, programming, and software design skills. While studying these topics, you will complete our Project Skills module, which will provide you with the chance to enhance your research and employment skills through individual and group projects designed for data scientists. This will give you experience of approaching a data science problem in the real-world.
Your third year will also give you the opportunity to specialise in a range of enriching research-informed optional modules, as well as undertaking a substantial data science individual project. In this project you will work closely with one of our academics, expand your problem-solving abilities, and draw upon the skills and knowledge that you have gained throughout your degree. This will be great experience for you to draw upon in an interview and in your career.
Your fourth year will present you with a range of advanced modules as well as practical and professional experience. Blending contemporary technical training with advanced professional development, you will complete a variety of integrated industry activities during a dedicated ten-week industry placement. This is complemented with a further seven-week fourth-year project. Together, this will allow you to apply the skills you have learnt while gaining valuable real-world experience.
We are working to satisfy the emerging requirements for Data Science accreditation as defined by the appropriate professional bodies (such as the British Computer Society, Royal Statistical Society).
The Uni
Lancaster University
Computing and Communications
What students say
How do students rate their degree experience?
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Information systems
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Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
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Information systems
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Information systems
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£27k
£36k
£45k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
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Graduate field commentary:
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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