The Statistical methods and analysis aims to train you to solve real-world statistical problems. On completion of this degree, you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer, and communicate your results clearly and succinctly. This degree offers a broad high-level training in applied and computational statistics, statistical machine learning, and the fundamental principles of statistical inference.
Training is delivered through mathematically demanding lectures and problems classes, hands-on practical sessions in the computer laboratory and report writing. You will be assessed on your performance in two written examinations around May, and through your submitted reports in assessed practical problems set during the year.
This degree program is three (3) years, which includes the spring, summer and fall semesters for full time student. Students will profit from our successful optional Industrial Placement summer scheme after the second year, before choosing his/her domain of specialty in the final year.
The first two years of the program culminates with a summer internship where students may apply skills learned in their coursework. During the third year of the program, students will choose a specific domain of expertise with the goal of becoming a domain expert. A total of at least 96 credit hours selected from the list of core and required courses are needed prior to graduation. Students will have to carry out a research project in their fields of specialty as one of the requirements for graduation.
- Lectures 0
- Quizzes 0
- Duration 4 years
- Skill level All levels
- Students 0
- Assessments Self