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Master's Degree Program on Production and Manufacturing Engineering

The graduate program (academic master) in Production and Manufacturing Engineering (EPM) at the School of Applied Sciences (FCA) at Unicamp has a highly qualified faculty that come from different areas of knowledge, such as engineering, physics, applied mathematics and management, and is focused on the analysis of problems of practical relevance in several areas of knowledge. Started in 2013 with a master's degree in "Operational Research", the graduate program in EPM had its scope expanded and, since 2016, has two major areas of concentration, entitled: "Operational Research and Operations Management" and "Advanced Materials Manufacturing." In the "Operational Research and Operations Management" area, the issues addressed include optimization methods, information systems and decision support, and processes in production and logistics. In the "Advanced Materials Manufacturing" area, the focus lies in material sciences, particularly in advanced studies of properties of materials, both as laboratory pathways as through computer simulation, and manufacturing processes. 

Program summary

Grade: Graduate program (master)
Credits: 24 (360 hours of courses)
Admission: Every semester (enrollment periods start at May and December)
 
Areas of interest:
 AB - Operations research and Operations management;
 AC - Advanced Materials Manufacturing;
 
Research topics:
Mathematical modeling (Area AB)
Production and Logistics (Area AB)
Decision support methods (Area AB)
Manufaturing processess (Area AC)
Properties and characterization of advanced materials (Area AC)

Program committee

Head
Prof. Dr. Ricardo Florianoricardo.floriano@fca.unicamp.br
Committe members
Prof. Dr. Antonio Carlos Pacagnella Júnior - antonio.junior@fca.unicamp.br
Prof. Dr. Cleber Damião Rocco - cleber.rocco@fca.unicamp.br
Prof. Dr. Washington Alves de Oliveira - washington.oliveira@fca.unicamp.br
 

Curriculum

In order to obtain the Master's degree in Production and Manufacturing Engineering, the student must:

  • • Fulfill a total of 24 credits in courses - with 06 credits of mandaroty courses, 04 credits from the list of electives I, 12 credits from the list of electives II, and 02 credits from the list of electives III;
  • • Be approved in the English Language Proficiency test;
  • • Be approved in the qualifying exam;
  • • Be approved in the public defense of her/his dissertation.

Mandatory courses

  • • Scientific Methodology (2 credits);
  • • Research Seminars I (2 credits);
  • • Research Seminars II (2 credits);

Elective courses I (at least 4 credits among the courses listed below)

  • • Introduction to operations research (4 credits);
  • • Advanced Supply Chain Planning (4 credits);
  • • Methods of Multicriteria Decision Support (4 credits);
  • • Materials Properties and Sciences (4 credits);
  • • Applied Materials simulation (4 credits);

Elective courses II (at least 12 credits among the courses listed below)

  • • Introduction to operations research (4 credits);
  • • Advanced Supply Chain Planning (4 credits);
  • • Methods of Multicriteria Decision Support (4 credits);
  • • Materials Properties and Sciences (4 credits);
  • • Applied Materials simulation (4 credits);
  • • Linear Programming (4 credits);
  • • Non-linear programming (4 credits);
  • • Integer programming (4 credits);
  • • Planning and production control (4 credits);
  • • Logistics and Global Operations (4 credits);
  • • Multivariate Data Analysis (4 credits);
  • • Simulation (4 credits);
  • • Introduction to Meta-Heuristics (4 credits);
  • • Multi-Criteria Optimization (4 credits);
  • • Transportation Economics (4 credits);
  • • Lean Production (4 credits);
  • • Factory Project (4 credits);
  • • Sustainable Production (4 credits);
  • • Statistical Planning and Analysis of Experiments (4 credits);
  • • Modeling and Simulation of Engineering Systems (4 credits);
  • • Operations Research in Finance (4 credits);
  • • Introduction to Machine Learning and to Data Mining (4 credits);
  • • Materials Characterization Techniques (4 credits);
  • • Materials testing (4 credits);
  • • Manufacturing Processes I (4 credits);
  • • Thermal Sciences and Phase Equilibria (4 credits);
  • • Nanostructured materials (4 credits);
  • • Introduction to Quantum Mechanics (4 credits);
  • • Materials Characterization Techniques (4 credits);

Elective courses III (at least 2 credits among the courses listed below)

  • • Teaching Assistance Internship (2 credits);
  • • Guided Studies (2 credits);