AMES Program Curriculum and Admissions Requirements

Participating Faculty:

Ugur Pasaogullari (Program Director)
Avinash Dongare (Advanced Materials Concentration Lead)
Ioulia (Julia) Valla (Processing Concentration Lead)
Liang Zhang (Sensing and Controls Concentration Lead)
Mike Accorsi
Ali Bazzi
Mikhail Bragin
Francesco Carbone
Wilson Chiu
Jasna Jankovic
Hongyi Xu

Admission Requirements

CGPA (or last two years GPA) of 3.0 or higher,
Equivalent of United States Bachelors degree in Engineering or related fields,
(For international applicants) TOEFL Score of >79, IELTS >6.5, PTE >53

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A personal statement (or research writing sample), official transcripts, GRE (not required for applicants with a degree from University of Connecticut) and contact information for (3) references are also required.

Curriculum & Program Outline

Required Credit Hours

A total of 30 credit hours after the B.S. is required, including 21 credits of advanced course work and successful completion of a thesis. Thesis research is equivalent to 9 credit hours. The thesis must be an original and significant contribution to the field of engineering science and must be defended orally according to Graduate School requirements.

Plan of Study

The student’s plan of study should be prepared with the aid and approval of the advisory committee and be approved by the AMES Director and the Executive Committee of the Graduate Council. All students must have a plan of study on file at the Graduate School and the AMES program. All AMES students must complete three core courses and select an area of concentration: Advanced Materials, Processing, or Systems and Controls. The area of concentration determines the additional requirements to be satisfied. To be approved, the plan of study must include the following coursework:

  • Three AMES common courses:
    1. AMES 5101. Engineering Analysis (3 credits)
    2. AMES 5111. Computer Aided Engineering (3 credits)
    3. AMES 5121. Engineering Communication (3 credits)

  • Two core courses (6 credits) corresponding to the chosen area of concentration:

    • Advanced Materials:
      1. MSE 5001. Introduction to Material Science and Engineering (3 credits)
      2. MSE 5322. Materials Characterization (3 credits)

    • Processing:
      1. ME 5130. Advanced Heat and Mass Transfer (3 credits) or CHEG 5311 Transport Phenomena (3 credits)
      2. CHEG 5321. Reaction Kinetics (3 credits)

    • Sensing and Controls:
      1. AMES 5410. Introduction to Energy Management in Manufacturing (3 credits)
      2. AMES 5420. Introduction to Smart and Green Manufacturing (3 credits)

  • A minimum of 2 elective courses (6 credits) from the list of elective courses for each area of concentration.

Elective courses taken outside of the provided list of courses must be approved by the student’s advisory committee and the program director in advance.

  • Nine credits of thesis research (GRAD 5950), as stipulated in the Graduate Catalog (Plan A).

M.S. Final Examination

An oral examination (often called the thesis defense) is conducted based on thesis research. The decision as to whether the student passes the examination is based on a vote of the advisory committee.

Elective Courses

Advanced Materials

A minimum of two elective courses (6 credits) from the following list are required.

ECE 5211. Semiconductor Devices and Models

ECE 5212. Fundamentals of Opto-Electronic Devices

ECE 5223. Nanophotonics

ME 5190. Advanced Solid Mechanics

ME 5210. Intelligent Material Systems and Structures

ME 5410. Theory of Elasticity

ME 5412. Wave Propagation in Continuous Media

ME 5415. Advanced Dynamics

ME 5420. Mechanical Vibrations I.

ME 5421. Mechanical Vibrations II

ME 5422. Advanced Analysis of Composite Materials and Structures

MSE 5310. Modeling Materials I

MSE 5320. Modeling Materials II

MSE 5311. Mechanical Properties of Materials

MSE 5364. Advanced Composites


A minimum of two elective courses (6 credits) from the following list are required.

ME 5110. Advanced Thermodynamics

ME 5120. Advanced Thermo-Fluids I

ME 5140. Heat and Mass Transfer in Multiphase Systems

ME 5311. Computational Methods of Viscous Fluid Dynamics

ME 5320. Flow of Compressible Fluids I

ME 5321. Flow of Compressible Fluids II

ME 5341. Radiation Heat Transfer

ME 5511. Principles of Optimum Design

ME 5895. Fuel Cells

ME 6170. Combustion and Air Pollution Engineering

CHEG 5336. Optimization

CHEG 5352. Polymer Properties

CHEG 5395. Investigation of Special Topics

ECE 5101. Introduction to System Theory

ECE 6103. Nonlinear System Theory

ECE 6161. Modern Manufacturing System Engineering

ECE 6437. Computational Methods for Optimization

Sensing and Control Track

A minimum of two elective courses (6 credits) from the following list are required.

AMES 5441. Reliability Engineering

AMES 5461. Production Systems Engineering for Energy Efficient Manufacturing

AMES 5451. Optimization Based Production Management

ECE 5530. Modeling and Control of Electric Drives

ECE 6141. Neural Networks for Classification and Optimization

ME 5160. Theory and Design of Automatic Control Systems

ME 5440. Computer Integrated Manufacturing Systems

ME 6260. Advances in Control Systems Design

Learning Outcomes

  • Understand and solve advanced engineering mathematical problems using Linear Algebra, Differential Equations, Transformations, State variables and probability;
  • Become familiar with computational methods and computer tools used in analysis and design of materials, processes and systems, and be able to choose the correct computational approach, tool and method for various engineering problems;
  • Develop communication objectives, develop and analyze written materials in various formats, and plan and deliver presentations;
  • Improve the ability to function effectively on project teams, and the ability to manage (interdisciplinary) project teams;
  • Understand the fundamental principles of physics and chemistry relevant to their area;
  • Formulate and solve engineering problems in advanced manufacturing for energy systems;
  • Be able to identify and use appropriate tools in solving relevant engineering problems;  
  • Be able to follow and implement recent engineering developments in their field.

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