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Mathematics with Data Science for Industry at University of Bath - UCAS

University of Bath

Degree level: Postgraduate

Mathematics with Data Science for Industry (Taught)

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Stand out to employers with a strong understanding of how applied maths, machine learning and data science can help solve problems in a broad range of industries. The cutting-edge application of mathematics in industry incorporates modelling, analysis and interpretation using methods from applied mathematics together with the rapidly growing areas of machine learning and data science. We’ll provide you with essential skills for a career as an applied mathematician working in a range of industries. Who this course is for? If you're a graduate in mathematics or a highly mathematical discipline, who would like to develop and apply mathematical and computational skills to tackle complex real-world problems, this course is for you. It provides training in machine learning, statistics, mathematical modelling, computational mathematics and collaborative problem-solving in industry. Course highlights

  • Enhance your mathematical skills by studying a wide range of taught units in applied maths techniques, mathematical modelling, data science, machine learning and scientific communication.
  • Gain genuine experience of collaborative problem solving from group projects with other students or a project with one of our industrial partners.
  • Undertake an optional 12-month placement with a company or public sector body to improve your employability.
  • Be part of our supportive postgraduate community.
  • Live and study in a beautiful world heritage city.

Modules

Please check the University of Bath website for the most recently published course detail.

Assessment method

  • Coursework
  • Dissertation
  • Online assessment
  • Presentations
  • Seminar
  • Written examination
You should expect to spend approximately 35 to 40 hours a week studying on your course. These hours consist of structured activities and independent learning. You will experience a mix of in person teaching, that will take place on campus, and structured online learning delivered through the University’s virtual learning environment.


Entry requirements

You should have a first or strong second-class bachelor’s honours degree or international equivalent. To apply for this course, you should have an undergraduate degree in mathematics, physics or engineering. We will also consider those with an undergraduate degree in other disciplines provided there is a substantial mathematical component. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. **Before you apply, please check the University of Bath website for the most recently published entry requirements.**


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For the most up-to-date information on tuition fees, please visit: http://www.bath.ac.uk/topics/tuition-fees/ If you receive an offer, you will need to pay a non-refundable deposit of £1,000 when you accept to secure your place. This will be deducted from your tuition fee when you register. You will need to budget at least £100 for the cost of photocopying, printing and binding. You will also need to budget for the cost of textbooks. Some courses involve visits away from campus and you may be required to pay some or all of the costs of travel, accommodation and food and drink. If you’re on a placement, you’re responsible for your own travel, accommodation and living costs. You should also consider the financial implications if you go on an unpaid or overseas placement.
Mathematics with Data Science for Industry at University of Bath - UCAS