As well as studying the fundamental forces of nature and how materials behave, physicists are much sought-after for their range of mathematical, analytical, and computer programming skills. As companies, governments, non-profits, and research organisations are starting to adjust to the massive amounts of data that are becoming available with the advent of new technologies, we are seeing the demand for graduates with "data science" skills skyrocket. The Physics with Data Science programme is designed to provide you with all the skills and learning opportunities of a traditional BSc/MSci Physics degree, combined with the tools and practical knowledge you need to solve real-world problems with data science techniques. Physics with Data Science covers all of the core topics of the BSc/MSci Physics degree, including quantum mechanics, gravitation, condensed matter physics, astronomy, and laboratory experiments. On top of this, there is a stream of modules that will help you develop professional Python programming skills, learn how to apply advanced machine learning and artificial intelligence techniques, and gain insight from any kind of data using a toolkit of practical data analysis methods. The course will also prepare you to be competitive on the job market, by connecting you with potential employers in technology, finance, healthcare, and scientific research, and giving you opportunities to perform independent research projects and develop a portfolio of data science techniques that you have mastered. The course is taught by leading research physicists at Queen Mary, who are involved in a range of "big data" projects and experiments like the Large Hadron Collider, the Square Kilometre Array, and the Large Synoptic Survey Telescope, as well as working with commercial partners like IBM and the UK Atomic Energy Agency. Whether you plan to become a research physicist, master financial data, or apply your skills to big problems at NGOs or in industry, Physics with Data Science will equip you with the tools and knowledge you need to succeed.

• Introduction to Data Science • Professional Skills for Scientists • Mathematical Techniques 1 • Classical Physics • Scientific Measurement • Modern Physics • Electric and Magnetic Fields • Mathematical Techniques 2 • Basic Mathematical Techniques

Assessment is carried out in a combination of methods depending on the nature of the work being carried out. If the module involves practical work only, the assessment will be based on laboratory reports. For non-practical modules will may be assessed by weekly coursework, termly assignments and an end-of-year examination.

Physics, Institute of

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: F30T

Institution code: Q50

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

Please click the following link to find out more about qualification requirements for this course

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

English Language Entry Requirement Information are not listed for this Course.

Student satisfaction : 67%

Employment after 15 months (Most common jobs): 65%

Go onto work and study: 85%

England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1

Our most recent information regarding tuition fees can be found at http://www.qmul.ac.uk/tuitionfees/

Admissions and Recruitment Office
Mile End Road
Address3 are not listed for this Course.
Tower Hamlets
E1 4NS