Master of Science degree in Artificial Intelligence - Engineering & Technology Innovation Management MSAI-ETIM Postgraduate Program By College of Engineering |Top Universities

Master of Science degree in Artificial Intelligence - Engineering & Technology Innovation Management MSAI-ETIM

Scholarship

YesScholarships

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program 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

Program 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

97+
7+
3+
359+

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

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

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