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Mathematics with Data Science FT

1 Study option · UndergraduateClifton Campus

Course summary

Welcome to the world where mathematics meets the cutting-edge of data science and computer programming. This course gives you the essential knowledge and skills demanded by today's rapidly evolving industries. You’ll be learning from an award-winning teaching team dedicated to your success, consistently winning teaching awards.

As you progress, you'll have the flexibility to specialise with a range of optional modules and a final-year project in a subject of your choice. Our technology focused teaching gives you the power to visualise and interrogate data in different ways through using graphics tablets, virtual reality, and 3D printing.

To address the shortages in the field of data science, as outlined by industry and the Government, this course gives you skills which are in high demand. With a solid mathematical foundation, you not only learn the tools and techniques needed, but also understand their application, setting you apart in the competitive job market. Focusing on real-world applications of mathematics and data science will sharpen your analytical, investigative and problem-solving skills.

Study the core strands of Linear Algebra, Probability and Statistics, Discrete Mathematics, Artificial Intelligence, and Database Engineering. These foundations provide you with a robust understanding of mathematics, essential for handling and interpreting complex data.

As this course shares common modules in your first year you can transfer MMath (Hons) Mathematics, BSc (Hons) Mathematics, or BSc (Hons) Mathematics with Statistics.

Research scholarships
Every year we offer a small number of Mathematics Undergraduate Research Scholarships (MURS), giving successful applicants funding for a six-to-eight-week placement in one of our research teams. This is an excellent opportunity for you to further your research interests and contribute to the academic activities of the mathematics department.

More student opportunities
Our active student-run Mathematics society allows you to be part of a vibrant community with peer support, team learning, and mentorship. You’ll also have the opportunity to participate in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.

How to apply

Application codes

Course code:
G120
Institution code:
N91

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Student Outcomes

Operated by the Office for Students

70 Employment after 15 months (Most common jobs)

85 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

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