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Online Master of Engineering with a focus area in AI and Machine Learning

At-A-Glance Heading link

Application Deadline June 5, 2024
Start Classes June 10, 2024
Completion Time In as few as 12 months
Credit Hours 36 (9 courses)
Tuition $896 per credit hour
Degree Type 100% Online Master's

Curriculum Heading link

The Online Master of Engineering (MEng) with a focus area in artificial intelligence (AI) and machine learning (ML) program is a professional, non-thesis degree comprised of nine courses in the areas of leadership development and AI/ML.

The core AI/ML classes will help students develop their understanding of the fundamental math of AI and ML, and AI and ML theories, techniques and tools. They will apply this knowledge more deeply in the courses of Image Analysis and Computer Vision, Deep Neural Networks, and Natural Language Processing.

Students have the opportunity to introduce their own project ideas in both the Innovation Tools and Methods Course and the Engineering Management Course. Our Engineering Law class will cover a broad introduction to relevant implications that arise from emerging technologies, such as the ethics around AI and ML.

Students in this program earn a Master of Engineering degree which will be reflected on their transcript and diploma.

Learning Outcomes Heading link

  1. Solve complex problems with a wide range of AI and Machine Learning tools.
  2. Apply AI and Machine learning techniques to real-world applications and a broad range of data sets.
  3. Develop applications that include AI and Machine Learning functionality.
  4. Learn leadership skills relevant to innovation and project management.
  5. Gain a fundamental understanding of ethics and fairness in the development and application of artificial intelligence.
  • 9 courses total Students have the option of completing the program at a pace that fits their needs.

  • 12 months Full-time students can complete the entire program in as few as 12 months.

Courses Heading link

Learn from our distinguished faculty at the leading edge of research in their respective disciplines and prepare to redefine your role in today’s dynamic artificial intelligence and machine learning environment. For the online Master of Engineering degree, you will complete these 9 courses totaling 36 credit hours. With accelerated 8-week terms, this degree can be completed in as few as 12 months.

All courses are offered in convenient, accelerated 8-week terms throughout the year, giving students maximum flexibility. Full-time students typically take two 8-week courses at a time, and part-time students complete one 8-week course at a time. Full-time students can complete the entire program in as few as 12 months.

Click the arrow below to view MEng courses.

Online Master of Engineering Courses Heading link

MEng Curriculum

This professionally oriented program teaches students solid foundational knowledge of the interdisciplinary field of AI and ML and the relevant tools to apply these skills to solving complex problems across domains.

Careers Heading link

A Master of Engineering (MEng) degree can open up a wide range of career opportunities in various industries where AI and machine learning are playing an increasingly important role. Our MEng program offers you a unique opportunity to build on your strong engineering foundation and dive headfirst into the cutting-edge world of artificial intelligence.

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects employment of computer and information technology occupations to grow 13% from 2020 to 2030. Moreover, according to a Reuters report based on Indeed.com data, U.S.-based generative AI job postings were up by 20% in May 2023.

Not only are there are range of positions that MEng graduates might be well suited for, but there are also salary ranges for AI careers that depend on the position and the responsibilities.

  • According to Indeed, the salary for artificial intelligence careers ranges from approximately $99,568 for a full stack developer to $141,318 for a data scientist.
  • The average annual base pay for artificial intelligence salaries in the United States is $120,049, according to Glassdoor.
  • According to Talent.com, the average artificial intelligence salary is $143,054 per year. Entry positions start at $115,000, and most experienced employees can make up to $200,000 per year.

Here are some potential roles for MEng graduates:

Machine Learning Engineer: This role involves designing and implementing machine learning algorithms and models to solve specific problems, often in industries like finance, healthcare, and technology. According to Indeed.com, the average base salary is $160k.

Data Scientist: Data scientists analyze large datasets to extract valuable insights and develop predictive models. They are in demand across industries such as e-commerce, finance, healthcare, and more. According to Indeed.com, the average base salary is $125k.

AI Research Scientist: These professionals work in research institutions or tech companies to advance the field of AI through innovation and experimentation. According to Glassdoor.com, the average base salary is $100k – $162k.

AI Product Manager: AI product managers are responsible for guiding the development of AI-powered products and ensuring they meet customer needs and market demands. According to Glassdoor.com, the average base salary is $135k.

Computer Vision Engineer: This role focuses on developing algorithms and systems that can interpret and process visual information, commonly used in autonomous vehicles, healthcare imaging, and surveillance systems. According to Indeed.com, the average base salary is $135k.

Natural Language Processing Engineer: NLP engineers work on applications involving text and language, such as chatbots, sentiment analysis, and language translation. According to Payscale.com, the average base salary is $111k.

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