Curricular Structure

The Master has a duration of 24 months. Classes/activities are held in Block CD located in the Campus Universitário da Região dos Vinhedos, in Bento Gonçalves, Monday through Wednesday from 4.45 pm to 10.30 pm.

Courses - compulsory and elective - are offered on a three-month basis, and are concentrated in the period of 6.30 pm to 9.30 pm. Research activities and practical work can be done every day of the week from 8 am to 10.30 pm.

Besides compulsory subjects (15 credits) and elective ones (9 credits), the student should also develop a final work (Dissertation) of 6 credits. In this way, to receive the title, the student must accomplish 30 credits.

Compulsory courses subjects - 15 credits

To obtain the Master Degree in Production Engineering, the student will attend 5 compulsory courses (15 credits), which form the articulating axis of knowledge. These courses should also be the foundation of the main methods applied to managing of operations and quality to develop the final work. They are also correlate to the area activities, considering the different profiles of entrant students, both in fundamental concepts of the area of concentration of the master program and in the use of the scientific method in environments of production of goods and services. These subjects are:

  • Quality Management
  • Qualitative and Quantitative Research Methods
  • Research Seminar on Manufacturing Engineering
  • Manufacturing Planning and Control
  • Variability Analysis on Production and Quality Systems

Elective Courses - 9 credits

Elective courses are articulated according to the lines of research of the Master degree program and the student should attend 3 courses (minimum), equivalent to 9 credits.

Line of Research: Strategies of Quality and Production Systems

  • Production Management
  • Logistics, handling and Storage
  • Quantitative Operations Management
  • Special Topics in Production Engineering

Line of Research: Modelling and Analysis of Production and Quality Systems

  • Modelling I: Support for Decision-Making Models
  • Modelling II: Optimization Models
  • Simulation
  • Design of Experiments I
  • Design of Experiments II
  • Statistic Quality Control
  • Special Topics in Production Engineering