In our increasingly complex digital society, we generate data in great supply. Now, we need to know how to collect it, manage it and leverage it effectively and ethically. The University of Central Missouri’s AACSB-accredited Big Data Analytics and Information Technology master’s degree program prepares you to do just that.
In big data analytics courses, programming classes and others, learn from expert faculty who are leaders in fields such as:
Artificial intelligence
Big data engineering
Cloud computing
Deep learning
Predictive analytics
They not only teach the technical skills you need to perform the work itself but also instruct you on project management and business intelligence. This ensures you know how to put your skills to use in a business context.
UCM’s affordable Big Data and Information Technology MS
If you want to advance your career by deepening your knowledge base, you’ll benefit from UCM’s high-value degrees. Between the low cost of tuition and the high salary prospects for big data analytics jobs, information technology jobs and opportunities in other related fields, you can get a big return on your educational investment.
The Big Data Analytics and Information Technology master’s degree is offered on both UCM campuses in Warrensburg and Lee’s Summit for flexible options in completing the graduate program.
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
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.
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.
*Price shown is for indicative purposes, please
1 February 2025
Start date
May 2025
University of Central Missouri
Ward Edwards Building,
108 W. South St.,
WARRENSBURG,
Missouri,
64093, United States
*Price shown is for indicative purposes, please
1 February 2025
Start date
January 2025
University of Central Missouri
Ward Edwards Building,
108 W. South St.,
WARRENSBURG,
Missouri,
64093, United States
Students must have an awarded bachelor's degree from either a U.S. regionally accredited 4-year institution or an international institution that upon transcript evaluation is equivalent to a 4-year regionally accredited institution. Any graduate level course work taken else where must be a 3.0 cumulative GPA or above to be admissible to UCM Graduate Studies.
Accepted English Proficiency Exams:
TOEFL exam score of 79 IBT
IELTS exam score of 6.0
Duolingo composite exam score of 120
UCM Proficiency Test of 79
*There may be different IELTS requirements depending on your chosen course.
UCM ensures that it provides outstanding facilities and support so that all students can achieve their maximum potential.