UConn School of Engineering Professional Education is partnering with Anglo Educational Services to provide a Master of Engineering (MENG) in Data Sciences or Advanced Systems Engineering degree for students across the world. Students have the opportunity to study, work and play in London while following UConn curriculum in a hybrid format. Depending on your desired field, enjoy the flexibility of a fall, spring or summer start. Choose an Accelerated or Flexible (set-your-own-pace) plan of study. Take advantage of increased Tier 5 employment opportunities. Check out our cost-saving scholarship options. Apply Now!
Experiential Learning
UConn Engineering Education
Hybrid Program
International Connections
Flexible Degrees
Scholarship Availability
COURSES IN THE DATA SCIENCES OR ADVANCED SYSTEMS ENGINEERING MENG IN LONDON WILL REQUIRE THE FOLLOWING STUDENT COMMITMENT PER WEEK:
- Some synchronous online learning may be required depending on the class
- 6-month internship in London occurring during the program.
Dates and Deadlines
Please see this Master of Engineering in London Deadline guide to find your specific deadline.
Advanced Systems Engineering
Advanced Systems Engineering Internship
UConn is partnering with Anglo Education Services for students to complete their MENG in London. Read on for more information about the Advanced Systems Engineering Program.
Select a Plan That Works for You
Example Advanced Systems Engineering Accelerated Plan of Study
Below is an example accelerated plan of study for a fall start. If you would like to start in the spring or summer, please reach out to us and we can share an updated plan of study. The London internship will occur in a sixth month period over two semesters. If you wish to change how you follow the plan of study listed below, for example starting your internship during a different semester, please reach out to us at soeprofed@uconn.edu.
FALL SEMESTER
SE 5000 Introduction to Systems Engineering – Required
ENGR 5314 Advanced Engineering Mathematics – Required
Choose (2-3):
SE 5001 Model-Based Systems Engineering
SE 5095 Systems Engineering Management
SE 5095 Model-Based Design for Realtime Cyberphysical Systems
SE 5202 Foundations of Control
SPRING SEMESTER
ENGR 5316 Independent Study (Industry Internship -- in London) - Required
Choose (2-3):
SE 5001 Model-Based Systems Engineering
SE 5102 Uncertainty Analysis, Robust Design, and Optimization
SE 5402 Architecture of IoT
SE 5602 Machine Learning for Physical Sciences and Systems
SE 5702 Data Science for Materials and Manufacturing
SUMMER SEMESTER
ENGR 5311 Professional Communication & Information Management
ENGR 5312 Engineering Project Planning & Management
Industry Internship in London continued (if started internship in previous semester)
Example Advanced Systems Engineering Flexible Plan of Study
Below is an example plan of study that you can follow, however, this plan provides the flexibility to complete these courses in a way that works for you.
The London internship will occur in a sixth month period over two semesters. If you wish to change how you follow the plan of study listed below, for example starting your internship during a different semester, please reach out to us at soeprofed@uconn.edu.
FALL SEMESTER
SE 5000 Introduction to Systems Engineering
ENGR 5314 Advanced Engineering Mathematics - Required
SPRING SEMESTER
SE 5001 Model-Based Systems Engineering
SE 5102 Uncertainty Analysis, Robust Design, and Optimization
SUMMER SEMESTER
ENGR 5316 Independent Study (Industry Internship -- in London) – Required
ENGR 5312 Engineering Project Planning & Management
FALL SEMESTER
SE 5095 Systems Engineering Management
SE 5095 Model-Based Design for Realtime Cyberphysical Systems
Industry Internship in London continued
SPRING SEMESTER
ENGR 5311 Professional Communication & Information Management
SE 5702 Data Science for Materials and Manufacturing
Data Sciences Engineering
Data Sciences Engineering Internship
UConn is partnering with Anglo Education Services for students to complete their MENG in London. Read on for more information about the Advanced Systems Engineering/Data Sciences Program.
Select a Plan That Works for You
Example Data Sciences Accelerated Plan of Study
The Data Sciences MENG in London programs begins each fall and ONLY accepts applicants for fall semester.
FALL SEMESTER
CSE 5050 Algorithms (Online with 3 synchronous exams.)
CSE 5520 Data Visualization & Communication (Online asynchronous.)
CSE 5713 Data Mining (Online asynchronous.)
CSE 5819 Introduction to Machine Learning (TBD)
SPRING SEMESTER
CSE 5717 Big Data Analytics (Online with group projects and a required synchronous meeting. Requires CSE 5050 as prerequisite.)
CSE 5312 Architecture of Internet of Things (IoT) (Online lectures with mandatory 2 hours synchronous discussion session/presentations weekly. Requires embedded or network systems course as pre-requisite.)
CSE 5835 Machine Learning for Physical Sciences & Systems (Online lectures with mandatory 1.5 hours synchronous discussion session/presentations weekly. Requires CSE 5819 as prerequisite.)
Industry Internship in London
SUMMER SEMESTER
ENGR 5311 Professional Communication & Information Management (Online with some synchronous sessions.)
ENGR 5312 Engineering Project Planning & Management (Online with some synchronous sessions.)
ENGR 5316 Independent Study (with Industry Internship -- in London, continued)
Example Data Sciences Flexible Plan of Study
The London internship will occur in a sixth month period. Below is an example plan of study. You can choose to follow this or make modifications that will provide you with the flexibility that is best for you (including timing of Internship). Please reach out to us at soeprofed@uconn.edu to discuss options.
FALL SEMESTER
CSE 5050 Algorithms (Online with 3 synchronous exams.)
CSE 5819 Introduction to Machine Learning (TBD)
SPRING SEMESTER
CSE 5717 Big Data Analytics (Online with group projects and a required synchronous meeting. Requires CSE 5050 as prerequisite.)
Industry Internship in London
SUMMER SEMESTER
ENGR 5311 Professional Communication & Information Management (Online with some synchronous sessions.)
ENGR 5312 Engineering Project Planning & Management (Online with some synchronous sessions.)
ENGR 5316 Independent Study (with Industry Internship -- in London, continued)
FALL SEMESTER
CSE 5520 Data Visualization & Communication (Online asynchronous.)
CSE 5713 Data Mining (Online asynchronous.)
SPRING SEMESTER
CSE 5312 Architecture of Internet of Things (IoT) (Online lectures with mandatory 2 hours synchronous discussion session/presentations weekly. Requires embedded or network systems course as pre-requisite.)
CSE 5835 Machine Learning for Physical Sciences & Systems (Online lectures with mandatory 1.5 hours synchronous discussion session/presentations weekly. Requires CSE 5819 as prerequisite.)
About Anglo Educational Services
Established in 1973, Anglo Educational Services (AES) is a British-based organization, providing a comprehensive service for the study abroad programs of more than 125 leading colleges and universities in the United States. Our services include London-based academic programs and internships, both semester-length and for summer session, student, and faculty accommodations, as well as educational tours to all major European destinations.
| Quick Facts | |
|---|---|
| Class Standing | Graduate Student |
| Language of Instruction | English |
| Program Types | Signature Program |
| Open to Non-UConn Students | No |
| Academic Area | Engineering |
| Housing | Apartment |
| Cost Structures | Fee-Based Program |
| Community Size | Metropolis (More than 1 million) |
| Experiential Opportunities | Intern, Study |
The University of Connecticut (UConn) School of Engineering Professional Education is partnering with Anglo Educational Services (AES) to provide the Master of Engineering (MENG) in Data Science and Advanced Systems Engineering degrees for students across the world. This cooperative arrangement enables UConn and AES to develop their own curriculum for both semesters and the summer session. Courses will be taught by UConn CSE and Advanced Systems Engineering faculty and students will receive their MENG degree from UConn. Students will have the opportunity to study and intern in London and will follow the courses drawn from UConn's curriculum Master of Engineering with a concentration in Data Science and Advanced Systems Engineering.
How to Apply
Please read all information on this brochure carefully, including all of the information in the tabs above. When you are ready, meet with your Experiential Global Learning Advisor to discuss what questions you may have and learn more about the application process. You may find your advisor using the Our Team page.
Information Subject to Change
All information listed on this brochure is subject to change. Please contact Experiential Global Learning for the most updated details.
How To Apply
Interested students will apply to the UConn Graduate School. During the application process please select the following:
Academic Area: "Engineering"
Program: "Engineering MENG"
Concentration: "Data Science" or "Advanced Systems Engineering"
Study Abroad: "Yes"
Upon acceptance to their desired concentration will work with the Experiential Global Learning office to apply for their internship and make arrangements for travel, VISA, and Internship. For program-specific requirements please visit the Masters of Engineering pages.
Application Procedure and Requirements
MENG Advanced Systems Engineering
4/7/2022
Fees
Master of Engineering Fees:
$3,900 per class ($1,300 per credit hour)
These fees include any university fees but do not include fees associated with the international phase of this program. Please visit our MENG FEES page for additional information on the MENG in Data Science or Advanced Systems Engineering
Scholarship Options: Our Cost-Saving
Mandatory Billable Costs for International Study and Internship:
Please visit this site for details on the Billable Costs. Chose the finances tab. For any questions on fees, contact soeprofed@uconn.edu
Anglo Education Services – Frequently Asked Questions
What is the advantage of this internship program?
This is an exceptionally valued-added option for the otherwise entirely online Master of Engineering graduate program. This special program provides students with an experience in a dynamic global setting. Through UConn’s long term partner Anglo Educational Services in London, and potentially other partners in the United Kingdom, we have a portfolio of British engineering firms where our students will practice the knowledge they learned and potentially become long-term contributors to their profession. To have paid internships will certainly increase the equitable accessibility to the program by a broader range of students,” says Yuhang Rong, Associate Vice President for Global Affairs.
Will my internship count toward my degree?
Students will earn credit that will count toward the Master of Engineering degree. This internship takes the place of a capstone project.
How long is the Internship program?
The student will start with their Master of Engineering semester in the United States completing course work online and then the following semester they will move to London and work in a 6-month paid internship with a London-Based company. This credit-based internship will develop their practical and professional skills.
Can I apply for one of these programmes if I do not have an Engineering major?
Students interested in pursuing any of the concentrations in the Master of Engineering degree program at UConn must apply to the UCONN Graduate School. If you have any questions, please contact soeprofed@uconn.edu and we’ll be more than happy to help guide you through the process.
Qualifications
A typical applicant will have the following minimum qualifications:
- Baccalaureate (B.S.) degree from an accredited institution in an approved engineering or STEM discipline
- Note: If your baccalaureate degree is not within engineering, please contact the Professional Education office at soeprofed@uconn.edufor further assessment
- A cumulative GPA of 3.0 or better for the entire undergraduate record or
- A grade-point average of 3.0 for your last two undergraduate years
- Four semesters of Advanced Mathematics to include Calculus I and Calculus II along with two semesters of other advanced math topics such as:
- Linear Algebra, Differential Equations, Multivariable Calculus or comparable
- Check the MENG concentration of interest 'Plan of Study' page as admission requirements will vary by department
The MENG program does NOT require GRE test scores for admission.
Will my accommodation be organized in London?
Yes, your accommodation will be coordinated with UConn’s EGL Department and AES (Anglo Educational Services). All our accommodations are in London. You will be advised of your precise location before you arrive, normally by your university. Please see the apartment profile pages on the Anglo Educational site for more information.
Is the accommodation fee included in the tuition fee?
For all program fees, please visit UConn’s Experiential Global Learning info page.
How long does UConn take to give offers?
After the UConn Graduate school receives a completed application, it takes a few weeks to receive notification. If there are any concerns or questions about the application, contact soeprofed@uconn.edu.
What will my career path look like after completing the MEng degree?
The Master of Engineering in Advanced Systems Engineering trains students on both foundational and practical aspects of systems engineering, model-based systems engineering, model-based design, and cyber-physical systems engineering. Systems Engineers are in heavy demand in many industries. Glassdoor ranked Systems Engineer as the #30 job in America on its "Best Jobs in America for 2022" list.
Given that voluminous data get generated in every walk of life, it is crucial to analyze this data to extract out useful information. The Master of Engineering in Data Science trains the students on both foundational and practical aspects of data science. Data scientists are in heavy demand in many industries. Glassdoor ranked Data Science as the #3 job in America on its "Best Jobs in America for 2022" list.
Anglo Education Services – Company Profiles
Internship Opportunity Company Profile 1:
A digital marketing agency that generates direct bookings away from other travel agents allowing hotel companies to grow their own loyal customer base. With over one million hits on their services every month, this firm uses data to base their marketing and design skills, client to client. Developers use bespoke code to create future-proof and lightning-fast websites and apps. Current clients include Fuller’s, The Landmark London and Student Universe. Join a team where learning and development is, and always will be, at the core of their culture.
Internship Opportunity Company Profile 2:
An AI powerhouse with a team of highly skilled Data Scientists, Machine Learning Engineers, Software Developers and Project Managers who help drive engagement, donations, and support for organizations. This company helps each organization realize its potential with AI solutions. Collaborate with these experts to create complex workflows, different machine learning models and then integrate them with business line applications.
Internship Opportunity Company Profile 3:
A reward app that connects diners with local restaurants, allowing them to accumulate points and spend them at their partner restaurants in the cities of London, Bristol and Bath. Reward holders may also use luxury rewards for spa days, enjoying a high-end sports car or creating a special memory by drinking champagne at the top of The Shard skyscraper. The more money customers spend at their partner restaurants, the higher the rewards. The app holders can also use their rewards to support local charities. Join the creative and energetic team of this fast-growing start-up.