MRes in Artificial Intelligence
Laurel, USA
M.Res. (Master of Research)
DURATION
1 year
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
USD 665 / per credit *
STUDY FORMAT
Distance Learning
* non-inclusive of miscellaneous fees
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Earn an online Master of Research in Artificial Intelligence and gain the knowledge, skills, and critical thinking abilities to lead in this exciting and ever-evolving field.
As Artificial Intelligence (AI) permeates every aspect of business and modern life, professionals with a comprehensive understanding of its complex technology and implications are increasingly invaluable in any industry.
The MRes in Artificial Intelligence is a research-intensive program designed for working professionals with AI-related backgrounds to develop the specialized knowledge and skills required to lead, manage, and innovate in AI, robotics, computer science, hardware and software engineering, and machine learning.
As an MRes student, you’ll conduct original research in an area of interest under the guidance of a dedicated thesis chair and graduate with published work contributing to the field of AI.
What you’ll gain with an MRes in AI:
- In-depth understanding of advanced AI concepts and theories
- Exposure to the academic publishing process and practical research experience
- Specialized AI expertise in your area of interest, such as robotics, autonomous systems, or AI ethics
- Practical experience applying theoretical knowledge to real-world AI challenges
- Insight into ethical considerations and complex societal issues
- Technical skills to create and implement innovative AI solutions
- In-demand job skills, such as critical thinking, problem-solving, and project management
- Enhanced career prospects with roles in academia, research institutions, industry R&D, and AI-related jobs across sectors
- A mindset for continuous learning in the dynamic field of AI
- The opportunity to contribute original knowledge to an evolving field
Whether you're an aspiring AI specialist, a professional looking to upskill, or a visionary eager to drive AI's ethical and societal development through research, an MRes in AI offers a platform to achieve your career goals and make a meaningful impact in the AI-driven world.
Students pursue an MRES degree to:
- Gain practical research experience
- Enhance their expertise in a specific area
- Advance their careers by learning in-demand skills
- Contribute original research to evolving fields of knowledge
- Prepare for doctoral programs
The Master of Research in Artificial Intelligence (AI) program offers a deep dive into AI technologies, such as machine learning, deep learning, neural networks, and natural language processing, for experienced professionals with AI-related undergraduate degrees. The program’s flexibility allows you to balance your studies and your career and structure your research around your specific interests and needs. By the program’s end, you will have produced, presented, and defended your master's dissertation, with the opportunity to contribute original knowledge to the field of AI.
An MRes in AI prepares you to lead in these roles:
- AI Engineer
- AI Ethics Consultant
- AI Consultant
- AI Researcher
- AI Scientist
- AI Software Engineer
- Ads Privacy Specialist
- Chief–Artificial Intelligence Solutions
- Deep Learning Specialist
- Data Scientist
- Machine Learning Engineer
- Machine Vision Engineer
- Manager–AI Projects
- Generative (GenAI) Specialist
- R&D Engineer
- Research Scientist
- Security Operations Center Shift Lead
- Senior Director–Artificial Intelligence
- Software Developer
- Special Solutions Architect
- Specialist –Autonomous Systems and Robotics Expert
- Systems Engineer
- Technology Innovator
- Vice President–Research
- University Faculty Member
Graduates apply their expertise across tech- and non-tech industries as specialists, technical executives, and other senior-level professionals for commercial companies, as well as local, state, and federal governments. They also build upon their AI research experience through working in academia, at top research institutions, and enrolling in PhD programs.
Market Demand for Artificial Intelligence Expertise
According to a report by PwC, AI could contribute up to $15.7 trillion to the global economy by 2030. The AI industry is burgeoning at a breathtaking pace, disrupting virtually every sector from healthcare, finance, and transportation to entertainment, education, and beyond.
Goldman Sachs Economic Research forecasts that by 2025, AI investment will be close to $100 billion in the U.S. and $200 billion globally.
From 2020 to 2022, the total yearly corporate global investment in AI startups increased by $5 Billion, nearly double its previous investments, with much of it coming from private capital from U.S. companies. AI startup funding worldwide totaled $12.9 billion in Q2 2022.
In May, the U.S. government announced $140 million in funding from the National Science Foundation to launch seven National AI Research Institutes.
As organizations worldwide race to implement AI, AI talent shortages are bogging them down in hiring for AI roles. MRes in AI graduates will contribute significantly to the rapidly growing artificial intelligence field through the creation of new knowledge and ideas, and will be prepared for in-demand roles such as a trusted subject matter expert, researcher, technician, manager, or teacher.
Upon graduation, graduates will be able to:
- Incorporate the theoretical basis and practical applications of Artificial Intelligence into their professional work.
- Apply research and advance problem-solving skills to their career field.
- Be versed in the science to offer economic solutions to Artificial Intelligence.
- Demonstrate the highest mastery of the needs of Artificial Intelligence globally.
- Be ambassadors for research and the advancement of knowledge in Artificial Intelligence.
Master of Research 30 Credits
- AIT 700 - Fundamentals of Graduate Research and Design*
- AIT 710 - Ethics and Philosophy of Research and Data Collection
- AIT 715 - Artificial Intelligence Research Proposal
- AIT 725 - Artificial Intelligence Research and Data Collection
- AIT 735 - Artificial Intelligence Thesis and Defense
*Note: AIT 700 must be taken as the only class in the first semester. No more than one class allowed in the following semesters without the Dean's approval.