What you will study
In the Data Science and AI master’s program at UCM, you will dive deep into a curriculum
that combines theoretical knowledge with practical skills, equipping you to excel
in the dynamic field of data science and AI. Throughout the program, you will explore
topics such as:
- Machine learning
- Deep learning
- Data Visualization
- Big data analytics
- Natural language processing
Excellence in Data Science and Artificial Intelligence
- 95%: UCM Computer Science master’s degree graduates are employed within six months
- #1: Most Popular Master’s Degree College for Computer & Information Sciences in Missouri
(College Factual)
Unique learning opportunities in Data Science and Artificial Intelligence
The University of Central Missouri’s Data Science and Artificial Intelligence master’s
degree offers a range of unique learning opportunities that go beyond traditional
classroom experiences, ensuring you gain practical skills and valuable insights for
your future data science and AI career. Some of these experiential learning opportunities
include:
- Missouri Innovation Campus (MIC): Benefit from our strategic location in Lee’s Summit, Missouri. The MIC is surrounded
by technology companies, startups and research institutions. This provides you with
access to internships, networking events and industry partnerships.
- Hackathons and Competitions: Participate in data science hackathons and competitions, where you can showcase your
skills and creativity while competing with peers from various institutions. These
events offer a platform to learn from others and test your problem-solving abilities.
- Research Opportunities: Collaborate with faculty members who are actively involved in cutting-edge research
in data science and AI. Engaging in research projects can deepen your understanding
of advanced topics and contribute to the advancement of knowledge in the field of
data science.
What can you do with a degree in Data Science and Artificial Intelligence from UCM?
The University of Central Missouri provides you with a Data Science and AI graduate
degree that opens doors professionally.
Many Fortune 500 companies have hired UCM Data Science graduates such as:
- Boeing
- Garmin
- IBM
- J.P. Morgan
- Mastercard
- T-Mobile
Advance your data science career!
As a Data Science and Artificial Intelligence master’s student, you have the opportunity
to maximize your potential. Learn more about job outlooks, salary expectations and
more.
Financial assistance options for your Data Science and Artificial Intelligence master’s
program
Get the most value out of your Artificial Intelligence and Data Science master’s degree
from the University of Central Missouri. We help make paying for college easier by
providing competitive tuition rates.
We also offer many ways to finance your college education for low student debt. For example, you can work as a tutor or teaching assistant
while gaining work experience and developing leadership skills.
Learn in cutting-edge facilities
UCM's state-of-the-art facility provides students pursuing a master’s degree in artificial
intelligence with an unparalleled environment to explore the frontiers of AI and data-driven
knowledge. With access to vast datasets and advanced machine learning tools, students
here are poised to unravel complex patterns, develop transformative algorithms, and
unlock the full potential of artificial intelligence.
Learn More
Network and Connect With Other CS Students
Take time to join an honor society or student chapter
We offer extracurricular activities to our graduate students. You can engage with
guest speakers, attend conferences and participate in relevant programming through
our student chapter of the Association of Computing Machinery or Upsilon Pi Epsilon,
an honor society for computing and information disciplines.
Get Involved
Learn From Expert Faculty
Dr. Ahmet Aksoy
Dr. Aksoy’s research focuses on the development and application of automated methods
for network packet analysis and classification, particularly in the context of operating
system identification, incident detection and IoT device classification. Working with
students on his cross-disciplinary research team, he is finding ways to prevent and
better detect malicious activities through the application of machine learning.
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