Big Data Analytics and Information Technology, MS

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

 

 

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: 

• Chelsoft Solutions Company – CIS and IT Scholarship