Data Centric Systems Engineering MSc
| Program start date | Application deadline |
| 2023-09-19 | 2023-08-01 |
| 2024-01-09 | 2023-12-01 |
| 2024-09-01 | - |
Program Overview
It covers core systems engineering principles, simulation, data analysis, and machine learning techniques, preparing graduates for careers in industries such as aerospace, automotive, and biomedical engineering. The program features hands-on learning, project-based work, and is accredited by the Institution of Engineering and Technology (IET).
Program Outline
It aims to provide students with the necessary knowledge and skills for successful careers in data-centric systems engineering.
Description:
This program covers the core principles of systems engineering, with a focus on engineering design and development. It emphasizes simulation, data analytical and machine learning techniques, to acquire an advanced base of knowledge and skills. Students will learn how to utilize mathematical models, numerical optimisation algorithms, heuristic search methods, metamodelling techniques, data acquisition, build and signal processing tools, to develop and design a new product. They will also gain expertise on how to apply machine learning approaches to complex and critical systems.
Outline
Program Content:
The program covers a broad range of topics, including:
- Data Analysis: Students will be exposed to advanced statistical and machine learning techniques.
- Systems Engineering: The program covers the core principles of systems engineering, including systems design, development and verification.
- Machine Learning: Students will gain expertise in applying machine learning approaches to complex systems.
Course Schedule:
The program consists of 6 modules, with 3 mandatory and 3 elective modules:
Mandatory Modules
- Introduction to Systems Engineering
- Simulation and Model Based Systems Engineering
- Environment, Ethics and Economics in Engineering Design
Elective Modules
- Renewable Fuels
- Operations and Supply Chain Management in Engineering
- Digital Manufacture for Healthcare Innovations
- Business Strategy and Technology Entrepreneurship It covers topics such as stakeholder analysis, requirements definition, system architecture and concept generation, trade-space exploration and concept selection, design definition and optimisation, system integration and interface management, system safety, verification and validation, commissioning and operations.
Simulation and Model Based Systems Engineering:
This module provides a guide to modelling complex real-world engineering systems. Key steps of creating and using models are presented, from general-purpose conceptual modelling to analytical and simulation models using simulation tools and environments. Topics include object process methodology (OMP) for system engineering, systems modelling languages (UML/SysML), simulation paradigms (discrete, continuous, deterministic, stochastic, agent-based models, human and hardware in the loop simulation), verification and validation of models, emerging topics such as digital twins.
Environment, Ethics and Economics in Engineering Design:
This module introduces several dimensions of ethical design, considering the system life cycle including the impact of end-of-life. Elements incorporating ethics into effective system design using a modern set of theoretical frameworks including circular economy, planetary boundaries and environmental life cycle assessment will be covered. The consequential impact of large scale technology shifts to guard against replacing one problem for another will be covered. The role of meeting and contributing to environmental regulation and policy will be explored and an ‘ethical cost benefit analysis’ will be introduced that internalises otherwise external environmental costs. Decision making under a complex array of economic and environmental objectives will be considered via multi-criteria decision analysis. These include liquid and gaseous biofuel, biomass driven fuels (e.g. bio-syngas), hydrogen and hydrogen carriers. Renewable fuel technologies, at different levels of maturity, are discussed and the relevant sustainability issues are identified.
Operations and Supply Chain Management in Engineering:
This module effectively addresses this need by focusing on various strategic decisions, such as ‘make-or-buy’, ‘offshore versus onshore’, ‘vertical integration versus horizontal integration’, and different manufacturing approaches, including traditional and additive manufacturing processes. Students will learn about the basics of (1) various polymerization modalities; (2) design for manufacturability principles; (3) advanced fabrication techniques, and (4) metrology and characterization methods to analyze the printed devices and implants.
Business Strategy and Technology Entrepreneurship:
This module provides students with a thorough understanding of interpreting the phenomenon of digitalisation, the digital economy and its terms, its analysis in terms of technology, regulation, and the consumer adoption process. By studying a small number of case studies and applying various frameworks, the module analyses rapidly evolving digital businesses and developing successful strategies for traditional businesses seeking to transform digitally. The module also focuses on the entrepreneurial perspective, and explores the process of building and scaling new ventures, including the development of business models and access to finance.
Digital Signal Acquisition and Processing:
This module explores sensing and measuring physical quantities interfaced to computer-based data acquisition and processing tools. As the signals produced are often complex and plentiful, tools to analyse them appropriately are covered. This module explores practical skills of data acquisition, build and signal processing, including (1) measuring electronic signals; (2) theoretical and practical skills of data acquisition; (3) signal processing fundamentals; and (4) programming skills for signal acquisition, processing, and control.
Assessment
Assessment methods:
The program employs various assessment methods, including:
- Examinations
- Coursework
- Projects
Assessment criteria:
Students will be assessed on their:
- Knowledge and understanding of the subject matter
- Problem-solving and analytical skills
- Design and implementation skills
- Communication and presentation skills
Teaching
Teaching methods:
The program utilizes a variety of teaching methods, including:
- Lectures
- Seminars
- Tutorials
- Laboratory sessions
- Project work
Faculty:
The program is taught by experienced academics and research-active staff with expertise in their respective fields.
Unique approach:
The program emphasizes hands-on learning and project-based work, providing students with the opportunity to apply their knowledge and skills to real-world problems.
Careers
Potential career paths:
Graduates of this program can pursue careers in a variety of industries, including:
- Aerospace
- Automotive
- Biomedical engineering
- Manufacturing
- Defence
- Finance
- Government
Career opportunities:
Graduates can work as:
- Systems engineers
- Data scientists
- Project managers
- Business analysts
- Consultants
- The program lasts for one year, starting in September.
- Students are required to complete a project in their final semester.
- The program is accredited by the Institution of Engineering and Technology (IET).
Entry requirements:
- A good 2:2 or above at undergraduate level in Engineering, Physics, Mathematics, Computer Science or a related discipline.
- There are various scholarship and funding opportunities available.
Home: £12,650 Overseas: £28,900
Entry Requirements:
A good 2:2 or above at undergraduate level Examining body IELTS TOEFL PTE Academic Trinity ISE C2 Cambridge English: Proficiency (CPE) C1 Cambridge English: Advanced (CAE) 5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking. 92 overall including 21 in Writing, 18 in Reading, 17 in Listening and 20 in Speaking. 71 overall including 65 in Writing, and 59 in Reading, Listening and Speaking. either ISE II with Distinction in Writing, Reading, Listening and Speaking, or ISE III with Pass in Writing, Reading, Listening and Speaking. 176 overall including 169 in Writing, and 162 in Reading, Listening and Speaking. 176 overall including 169 in Writing, and 162 in Reading, Listening and Speaking.
