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  Data Science and Analytics - MSc


University of Leeds    School of Mathematics

Full time September MSc 1 year full time
Computer Science (8) Mathematics (25)

FindAMasters summary

Are you ready to dive into the world of data? Our Data Science and Analytics MSc programme is designed for those who want to master the art of managing and interpreting data. With the increasing demand for skilled professionals in this field, our programme offers a comprehensive curriculum that combines computer science, mathematics, and data analysis. Whether you're interested in healthcare, business, government, or the environment, our collaboration with leading research institutes ensures you'll receive the latest insights and practical knowledge. Plus, with a wide range of optional modules, you can tailor the degree to suit your specific interests. Join us and become a data wizard! Entry requirements include a strong mathematical, statistical, or computing background.

About the course

We’re surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions.

There is an increasing demand for people who can manage, control and provide insight into the way data is used. These individuals require an understanding of computer science and mathematics, as well as a familiarity with the data needs and processes of a number of different areas, including healthcare, business, government and the environment.

Our Data Science and Analytics Masters degree offers you the opportunity to develop a range of relevant skills including:

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Entry Requirements

This is an extremely popular MSc. To be considered you will need to provide evidence of:

A bachelor degree with a first or high 2:1 (Hons) in a subject containing a substantial mathematical, statistical and/or computing component.
All your key modules should have strong grades (mainly firsts with no key marks below 2:1).
You must provide a list of the type and level of maths/computing modules that you have studied if this is not obvious from your transcript.

We do not normally accept degrees in accountancy or finance for this MSc.


Fees

UK: £14,000 (Total)
International: £31,750 (Total)

 Course Content

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Where will I study?

Where is University of Leeds

Videos



Student Profile

Lu Liu

Lu Liu graduated from the School of Mathematics where she studied her masters - Data Science and Analytics MSc.
Choosing Leeds
After completing her undergraduate degree in engineering Lu worked in the oil and gas industry where she developed an interest in Data Science and decided to switch career path to pursue a masters in this field. When asked the reason she chose Leeds, Lu said “The reason is quite simple, I fell in love with the campus the first time I saw the photos online, and it turns out I made the right decision.” She added “I had an amazing year studying at Leeds. Not to mention the high-quality teaching, I had plenty of opportunities to develop myself and to grow via various activities and events.”
Academic life
Studying at the School of Mathematics Lu said “I would say the best aspect of studying my course is the libraries on campus which provide a range of study environments with extensive computer facilities. The Edward Boyle Library is the one where I went almost every day while I was studying in Leeds. It has a rich collection of books / E-books that were required by my course.”
She continued “The best thing about the Edward library is that it has a dedicated floor for staff and postgraduates, including individual study rooms which can be easily booked online. Additionally, libraries also provide study booths that are suitable for group discussions.”
Future students
As a university of Leeds alumnus, Lu said “Firstly, I would say that Leeds is a lovely city and the university itself gives students an environment to explore their own horizons and understand different cultures.”
She added “In terms of the Data Science and Analytics MSc course, it combines the modules from a couple of different schools, and this collaboration will allow you to benefit from a range of data science perspectives and applications, allowing you to tailor the course to match your own career ambitions. There are multiple career paths in this field, whether you want to be a Data Scientist, enthusiastic about researching the latest Machine Learning techniques, or you want to build the ML-based applications and focus on the engineering side, or you are interested in the business aspect of Data Science, etc, you can all benefit from this course and build a solid foundation for your career in tech.”

Scholarships

Value of Scholarship(s)

25% tuition fee reduction


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Value of Scholarship(s)

10% alumni tuition fee bursary


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