• Ph.D. in Modern Statistics and Statistical Machine Learning at the University of Oxford is offered a program for a duration of 4 years.
  • This course is offered on a full-time and part-time basis also.
  • It will train the next generation of researchers in statistics and statistical machine learning. 
  • This program is for who will develop widely-applicable novel methodology and theory and create application-specific methods, leading to breakthroughs in real-world problems in government, medicine, industry, and science. 
  • The CDT(Centre for Doctoral Training) will provide students with training in both cutting-edge research methodologies and the development of business and transferable skills, essential elements required by employers in industry and business.
  • In this program, each student will undertake a significant, challenging, and original research project, leading to the award of a DPhil. 
  • The students will pursue two mini-projects during their first year, with the expectation that one of them will lead to their main research project. 
  • Core topics will be taught at the beginning of the course are:
    • Bayesian Modelling and Computation
    • Statistical Machine Learning, and
    • Modern Statistical Theory
  • The faculty and student ratio for this program is 1:11.
  • The average salary goes up to 113,500 USD after completing this program.
  • The Employment rate of the University of Oxford is 91%.