Master of Science degree in Artificial Intelligence - Engineering & Technology Innovation Management MSAI-ETIM
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
ETIM is a professional program for students with strong technical backgrounds who aspire to pursue technical, organizational and entrepreneurial leadership positions.
The core of the ETIM program emphasizes the fundamentals of innovation management in theory and practice through both academic content and a required internship practicum. ETIM prepares students to work in cross functional, multi-discipline teams to optimize organizational outcomes.
1 year single degree offering
2 year MSAI-ETIM
2 year dual degree offerings with traditional engineering department
2 year part-time program
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
ETIM is a professional program for students with strong technical backgrounds who aspire to pursue technical, organizational and entrepreneurial leadership positions.
The core of the ETIM program emphasizes the fundamentals of innovation management in theory and practice through both academic content and a required internship practicum. ETIM prepares students to work in cross functional, multi-discipline teams to optimize organizational outcomes.
1 year single degree offering
2 year MSAI-ETIM
2 year dual degree offerings with traditional engineering department
2 year part-time program
Admission Requirements
Students with a bachelor’s degree in engineering, physical sciences or computer science with an interest in the intersection of AI and engineering are encouraged to apply to this program.
Students should be able to demonstrate proficiency in:
Programming (Python preferred) for data analysis
Probability/statistics such as probability distributions, joint and conditional probability, independence, marginalization, Bayes rules, and maximum likelihood estimation
Linear algebra topics such as matrix operations, linear transformations, projections, matrix derivatives, and eigendecomposition
Coursework should be 3.0 or above in these demonstrated areas.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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