University of New Haven

What you'll study

The programme combines core engineering science with applied methods for improving productivity, quality and system performance. Typical modules cover:

• Operations Research and Optimization – linear and nonlinear programming, integer programming and network flows for planning and scheduling.
• Simulation Modelling – discrete-event and Monte Carlo simulation to analyse complex systems and test improvement scenarios.
• Statistics and Data Analysis – applied probability, statistical process control, regression and design of experiments for data-driven decision making.
• Quality and Reliability Engineering – quality management systems, Six Sigma concepts, reliability modelling and maintenance strategies.
• Manufacturing Systems and Lean Principles – production planning, cellular manufacturing, lean tools and value-stream mapping.
• Human Factors and Ergonomics – workstation design, safety assessment and human–machine interaction.
• Supply Chain and Logistics – inventory models, distribution network design and procurement strategies.
• Engineering Management and Economics – project management, cost analysis and technology implementation.

The degree typically offers elective options and a choice of culminating experience: a research thesis, a supervised practicum/project with an industry partner, or a coursework-only route. Hands-on laboratory sessions, software tools for optimisation and simulation, and opportunities for internships form a central part of the learning experience.

Entry requirements

Applicants are normally expected to hold a bachelor's degree in industrial engineering, mechanical engineering, systems engineering, mathematics, or another closely related quantitative discipline. Typical academic requirements include a satisfactory undergraduate GPA and a record of coursework in calculus, probability/statistics and basic engineering science or programming.

• Official transcripts from all post-secondary institutions attended.
• A CV or résumé outlining relevant academic and professional experience.
• A personal statement describing academic goals and reasons for pursuing the degree.
• Letters of recommendation (usually one or two) from academic or professional referees.
• Proof of English language proficiency for applicants whose first language is not English (accepted tests include IELTS or TOEFL).

Some applicants with substantial professional experience but without a directly related undergraduate degree may be considered on a case-by-case basis. The programme may also accept applicants who have completed relevant bridge or preparatory coursework. Prospective students should consult the admissions office for advice about specific qualifications and the possible requirement for GRE scores.

Career prospects

Graduates go on to technical and leadership roles where quantitative analysis, process improvement and systems thinking are required. Common job titles include:

• Industrial / Process Engineer
• Quality Engineer or Reliability Engineer
• Manufacturing Engineer
• Supply Chain Analyst / Logistics Engineer
• Operations Research Analyst
• Production or Operations Manager
• Continuous Improvement or Lean Six Sigma Specialist
• Consultant in operations, manufacturing or healthcare systems

Graduates work across sectors such as advanced manufacturing, automotive and aerospace supply chains, healthcare delivery systems, logistics and distribution, energy, and consulting firms. The programme's emphasis on applied projects and internships helps students build employer-relevant portfolios and professional networks.

Why study at University of New Haven

The University of New Haven offers a practical, career-oriented approach with small class sizes and close faculty supervision. The engineering faculty bring a mix of academic research and industry experience, supporting applied projects and internships with regional and national companies.

• Applied learning: Project-based coursework and laboratory work using industry-standard simulation and optimisation software.
• Industry connections: Proximity to manufacturing and logistics hubs in the New England and New York regions facilitates internship and employment opportunities.
• Flexible degree paths: Thesis, practicum/project and coursework-only options allow students to tailor the programme to academic or professional goals.
• Career support: Dedicated career services and employer engagement help students prepare for technical interviews and industry placements.

Overall, the programme is designed for students who want to develop the analytical and leadership skills needed to design, optimise and manage complex systems in a range of industrial and service settings.