Queen Mary, University of London
Area of Study
Information Sciences, Information Technologies, Management of Technology
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits4
Recommended U.S. Quarter Units6
Hours & Credits
Introduces students to the development of quantitative models and associated processes for problem solving and decision making in IT management. The module introduces basic statistical concepts and provides practical experience in developing spreadsheet implementations of quantitative methods. A case study approach is taken to the application of statistical analysis and modelling of a range of engineering activities including concept selection, design optimisation, robust design, manufacturing process improvement, and problem-solving. Examples of modelling approaches may include the use of Microsoft Excel Solver, Scenario Analysis, Data Mining and Discrete Event Simulation.
Assessment: 70.0% Examination, 30.0% Coursework
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Some courses may require additional fees.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please reference fall and spring course lists as not all courses are taught during both semesters.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.