What you will study
All big data analytics courses at the University of Central Missouri are designed
to ensure you learn the latest tools and trends in this ever-changing field.
In fact, our advisory board — composed of top IT leaders in the Kansas City area —
reviews all Big Data Analytics and Information Technology MS program courses to provide
feedback on which topics would benefit graduate students in the program most. This
ensures you learn skills that help you advance your career and build your expertise.
Get ready for big data analytics jobs, advancement in the IT industry and technology
leadership. You’ll master topics in deep learning and AI, cloud computing, big data
engineering, data visualization, programming, predictive analytics and data mining
among others.
Big data analytics courses you may take include:
- Applications Development Using Java
- Big Data Architecture
- Business Application of Machine and Deep Learning
- Business Intelligence and Analytics
- Data Resource Management
- Project Management
Excellence in Big Data and Information Technology
- UCM's Big Data Analytics and Information Technology master’s degree program is accredited
by AACSB International.
- #1: Most Focused Colleges for Information Technology in Missouri (College Factual, 2022)
- #1: Most Focused Colleges for Computer Science in Missouri (College Factual, 2022)
- #1: Most Focused Master's Degree Colleges for Computer & Information Sciences in Missouri
(College Factual, 2022)
- Named a Best Value Master's Degree Colleges for Information Technology (College Factual, 2022)
- #1: Most Popular Master's Degree Colleges for Computer & Information Sciences in Missouri
(College Factual, 2022)
- #1: Most Popular Colleges for Computer Science in Missouri (College Factual, 2022)
Unique learning opportunities in the Big Data and Information Technology MS program
Put your learning into practice through a variety of experiential and extracurricular
learning activities offered to students in the Big Data and IT master’s program.
- Career coaching: Work with your faculty mentor and the CIS program’s advisory board to develop a career
plan that reflects your academic and job goals. They'll work with you to make sure
you’re focusing in the right areas and taking the right classes to get you there.
- Graduate research: In addition to writing a research paper for every course in UCM’s IT and Big Data
degree program, you have the opportunity to do research with your faculty mentors.
Our program faculty frequently publish and present their work at national and international
conferences for professionals in big data analytics jobs and the IT field.
- Student life: Take part in learning opportunities around campus in Warrensburg or Lee’s Summit.
UCM frequently hosts guest lecturers who are leaders in information technology. Past
speakers have worked at companies such as Microsoft and spoken on data mining, where
the educational technology field is headed and other timely subjects. In addition,
meet with other graduate students and mentor undergraduates in the Computer Information
Systems Student Organization (CISAO) student group.
What can you do with a Big Data and Information Technology master’s degree from UCM?
Find success seeking information technology jobs, data analytics jobs and other roles
in the field as a graduate of UCM’s Big Data and IT master’s program. You can also
leverage your new expertise and experience to qualify for promotions at your current
place of employment.
Past graduates of UCM’s Big Data and Information Technology MS program work as big
data engineers, AI specialists, business intelligence analysts and other roles at
leading organizations such as:
- Amazon
- Apple
- Boeing
- Facebook
- Google
- IBM
- Target
You can also continue learning in a Ph.D. program and work toward teaching the next
generation of students about this exciting field of study.
Information technology and big data analytics jobs and opportunities
Use the interactive tool below to learn more about job opportunities, salaries and
other career data for graduates with a Big Data and Information Technology master’s
degree from UCM.
Financial assistance options for your Big Data and Information Technology MS degree
The University of Central Missouri makes it easy for you to get started in the Big
Data and IT master’s program. We offer a variety of ways for you to finance your graduate degree, so cost isn’t a barrier to your educational and career goals. Financial aid options
include loans, grants, graduate assistantships and scholarships.
In fact, UCM sets aside some scholarships specifically for students in the Computer
Information Systems and Analytics discipline, including:
- Boeing Company Scholarship for Computer Information Systems
- Chelsoft Solutions Company – CIS and IT Scholarship
- Richard and Gertrude Innes Scholarship
Meet CIS Faculty Member Dr. Someswar Kesh
Expert in big data analytics and business intelligence
Dr. Kesh brings his passion for experiential learning to his course instruction and
student mentorships. He encourages students to pursue research and lab exercises as
part of the learning experience, and he works to connect students with employers in
the area for additional learning opportunities.
Meet the Faculty
Dedicated High-Tech Computer Labs
Hone your skills on advanced equipment
Whether joining us in Warrensburg or Lee’s Summit, graduate students in UCM’s Big
Data and IT master’s program have access to more than 120 computers across six labs.
Exclusively for CIS and Analytics students, these computers include a big data engineering
lab, numerous big data products, Microsoft Imagine, EMC Academic Alliance programs,
Oracle Academy programs, Cisco networking components, AWS licensing and other tech
programs.
Meet CIS Faculty Member Dr. Prasad Rudramuniyaiah
Presenter at national and international conferences
Dr. Rudramuniyaiah researches data analytics in health care, national critical infrastructures
and business sectors. He also specializes in big data and IT governance, business
intelligence and knowledge management. He brings this to his big data analytics courses
and his publications and conference presentations.
Meet the Faculty
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