In the first two years, students will focus on completing the university’s General Education Program (42 US / 84 ECTS credits), which introduces five thematic areas: communication, data and quantitative literature, scientific inquiry, arts and humanities, and social sciences. In the third and fourth years, students will focus on topics relevant to their major.
Program length:
4 years / 8 semesters.
Credits needed to earn the degree:
133 US credits / 266 ECTS
GPA needed to earn the degree:
2.0 or higher
Degree level:
MQF Level 6
Maltese System
MATSEC Certificate in Mathematics
British System
o A level A2 mathematics
o BBB at A Level
o GSCE: Science C.
o At least one other Science/Technology subject (or equivalent qualification) from the following: Electronics, Materials Science, Physics, Biology, Chemistry, Geology, IT, Further Mathematics, Mechanics, Dynamics or General Engineering.
The Industrial Engineering Program objectives and indicators are:
Objective 1: Technical Proficiency. Graduates integrate mathematics, physics, engineering science, operations research, applied probability and statistics, manufacturing technology, production planning, and computer simulation to model and analyze entire systems that are composed of their individual components, subsystems, and processes.
Objective 2: Professional Growth. Graduates develop and exercise their capabilities for life‐long learning as a means to enhance their technical and social skills.
Objective 3: Management Skills. Graduates develop and refine their management, communications, and professional skills to increase their effectiveness as team members and team leaders.
The following outcomes support the program educational objectives:
(a) ability to apply knowledge of mathematics, science, and engineering
(b) ability to design and conduct experiments, as well as to analyze and interpret data
(c) ability to design system, component, or process to meet needs within realistic constraints
(d) ability to function on multidisciplinary teams
(e) ability to identify, formulate, and solve engineering problems
(f) understanding of professional and ethical responsibility
(g) ability to communicate effectively
(h) broad education necessary to understand the impact of engineering solutions
(i) recognition of the need for, and an ability to engage in life-long learning
(j) knowledge of contemporary issues
(k) ability to use techniques, skills, and modern engineering tools necessary for engineering practice
(INE-1) The curriculum must prepare graduates to design, develop, implement, and improve integrated systems that include people, materials, information, equipment and energy. The curriculum must include in-depth instruction to accomplish the integration of systems using appropriate analytical, computational, and experimental practices.
The method of teaching follows the classroom model in which the primary mode of instruction is a flipped classroom model. A set of short lectures prepared by AUM lead faculty will be viewed by students and take quizzes on that material prior to attending class. Students will then attend classes that are led by an on-site AUM co-professor. The co-professor will then clarify concerns and lead in-class exercises (problems, design projects, instructing on software, discussions, etc). Often these sessions will be in a collaborative learning environment in which students work in small groups.
Laboratory modules involve two to three-hour fully on-site laboratory sessions in which students complete assignments involving hands-on laboratory experiments and supplemental data analysis either individually or as part of groups. Laboratories are assessed using written lab reports and/or oral presentations.
Assessments
Engineering disciplines require strong mathematics skills. Assessments (in-class examinations, homework and individual and team projects) will focus on those skills. In addition, some modules have “group presentation” as a mode of assessment, which will focus on communication and team-working skills. Some modules have “team evaluations” as a mode of assessment, which will focus on team-working and management skills. Some modules with labs embedded in the module require additional measurement modes. The range of assessment tools permit students to excel and demonstrate competence in alternative ways.
Industrial Engineer at an engineering company.
Logistics Manager at a construction firm.
Robotics and Automation Control Coordinator at an Artificial Intelligence research facility.
SEMESTER I
US CREDITS
COURSE
-
ENG 101
3English Composition 101 -
MAT 120
4Calculus I -
CHE 111
4Introduction to General Chemistry (with lab) -
HIS 101
3History of the Mediterranean -
ENR 102
3Introduction to Engineering and Eng. Design
TOTAL: 17
SEMESTER II
US CREDITS
COURSE
-
ENG 102
3English Composition 2 -
SOC 101
3Introduction to Sociology -
BIO 101
4Unity of Life (with Lab) -
MAT 130
4Calculus II -
PHY 111
4Physics with Calculus I (with lab)
TOTAL: 18
SEMESTER I
US CREDITS
COURSE
-
IEE 175
3Computer Programming for Engineering Applications -
CIE 214
3Statics -
MAT 220
4Calculus III -
PHY 240
4Introductory Electricity and Magnetism (with Lab) -
REL 101 or ATH 101 or PHI 101
3Arts/Humanities GE
TOTAL: 17
SEMESTER II
US CREDITS
COURSE
-
CHE 112
4General Chemistry II (with Lab) -
IEE 250
3Introduction to Systems and Industrial Engineering -
IEE 277
3Object-Oriented Modeling and Design -
COM 101
3Introduction to Multicultural Communication -
IEE 265
3Engineering Management I
TOTAL: 16
SEMESTER I
US CREDITS
COURSE
-
REL 101 or ATH 101 or PHI 101
3Arts/Humanities GE -
IEE 270
3Mathematical Foundations of Systems and Industrial Engineering -
IEE 295S
1Systems and Industrial Engineering Sophomore Colloquium -
IEE 305
3Introduction to Engineering Probability and Statistics -
IEE 377
3Software for Engineers -
IEE 367
3Engineering Management II
TOTAL: 16
SEMESTER II
US CREDITS
COURSE
-
IEE 340
3Deterministic Operations Research -
IEE 410A
3Human Factors and Ergonomics in Design -
IEE 321
3Probabilistic Models in Operations Research -
IEE 383
3Integrated Manufacturing Systems -
IEE 370
4Embedded Computer Systems
TOTAL: 16
SEMESTER I
US CREDITS
COURSE
-
PHI 102
3Applied Ethics -
IEE 330R
3Engineering Experiment Design -
PSY 101
3Introduction to Psychology -
IEE 431
3Simulation Modeling and Analysis -
IEE 498A
3Cross-disciplinary Design
TOTAL: 15
SEMESTER II
US CREDITS
COURSE
-
CIE 301
3Engineering Communications -
IEE 406
3Quality Engineering -
IEE 464
3Cost Estimation -
IEE 498B
3Cross-disciplinary Design -
IEE 462
3Production Systems Analysis -
IEE 457
3Project Management
TOTAL: 18
