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Big Data Analytics and Information Technology, MS (53-645)

Over Five Decades of Excellence!

The Big Data Analytics and Information Technology MS program is offered by the CIS and Analytics division in the Univeristy of Central Missouri's School of Business Administration , which has over five decades of excellence in CIS course offerings and degree programs!

The Master of Science in Big Data Analytics and Information Technology (MS BDA & IT) Degree is a unique STEM classified program focused on technological innovations and challenges in the 21st century. The program is fully accredited by AACSB International. Recent graduates of programs in our department are working in organizations such as Apple, Amazon, Boeing, Cerner, CISCO, DST Systems, Edward Jones, Facebook Inc., IBM, Microsoft, Sprint, Target, Wal-Mart, Yellow Freight, H & R Block and many other Fortune 500 companies.

Master of Science in Big Data Analytics & Information Technology is a 30-credit hour program. 

Personalized Attention

Our 17-to-1 student-to-faculty ratio means you’ll receive the personalized attention you deserve. You’ll learn from experienced faculty members who are nationally recognized scholars. They are dedicated to mentoring you and doing all they can to help you succeed.

Think quality, think MS BDA & IT

 Get all of the details » 

MS in Big Data Analytics and IT Admission Requirements

Admission is granted on the basis of person's academic aptitude and potential evaluated through academic record, work experience, and test scores. Courses completed prior to receipt of an undergraduate degree cannot be used toward the Big Data  Analytics and IT degree.

  1. A minimum undergraduate grade point average of 2.5.
  2. GRE/GMAT is optional with 2.5+ years of work experience in IT field.
  3. GRE/GMAT is optional for people with degree in CIS/IT from AACSB accredited program with high GPA.
  4. A minimum GRE score of 290 or GMAT score of 500. Exception may be made on a case-by-case.
  5. Acceptance into the BDA & IT program is limited and highly competitive. 

MS in Big Data Analytics and IT Degree Requirements

MS BDA & IT is a 30-hour program. At least 15 hours must be taken at 5000/6000 level. For more information contact Dr. Sam Ramanujan at (660) 441-0496 or via email.

Graduate Core (15 hrs)

Course # Course Title Credit Hours
CIS 4660 Applications Development using JAVA 3
CIS 5675 Project Management 3
CIS 5690 Advanced Systems Project 3
CIS 5650 Managing Information Security in Organizations 3
CIS 5660 Legal Environment of Information Systems 3
  Total Hours 15

 

Concentration (12 hrs) 

Students must complete at least four of the following courses.

Course #     Course Title  Credit Hours
CIS 4650 Big Data Architecture 3
CIS 4680 Data Resource Management 3
CIS 5680 Business Intelligence and Analytics 3
CIS 5681 Big Data Solutions for Business 3
CIS 5685 Information Visualization for Big Data Analytics 3
CIS 5686 Business Application of Machine and Deep Learning 3

 

Graduate Electives (3 hrs)

Any graduate level CIS course approved by the advisor

Course #  Course Title  Credit Hours
ECON 5005 Economic Analysis for Business Decisions 2
CIS 5606 Advanced Application Development Using Visual C# 3
CIS 5610 Internet for the Enterprise 3
CIS 5670 Internship in Computer Information Systems 3
CIS 6610 Readings in Computer Information Systems 3

 

Due to the applied nature of this program, students are required to participate in curricular practical training during the first year of studies based on appropriate courses. A student is expected to take CIS 5670 - Internship in CIS to meet the elective requirements. If the student does not receive a paid internship, any other graduate level CIS elective course approved by the adviser, may be taken.

Required Undergraduate Background Courses (0-15 hrs)

The following undergraduate courses (or equivalents) are required. Some of the requirements may be waived for the Computer Information Systems area. Undergraduate work already completed may be used to satisfy undergraduate background requirements.

Course #  Course Title  Credit Hours
CIS 1625 Programming in Visual C# 3
CIS 2665 Principles of Data Comm. & Local Area Networking 3
CIS 3625 Bus. app dev with Java 3
CIS 3650 Database Management Systems * 3
CIS 3660 Analysis & Design of CIS ** 3
FIN 2801 Business Statistics I *** 3

 

*This course has a prerequisite (CIS 1600). Student should take this course or an equivalent.

** This course has a prerequisite (CIS 3630). Graduate students can have this prerequisite waived by the department chair.

***This course has a prerequisite (Math 1111 or equivalent).

Experienced Faculty

 Our Computer Information Systems and Analytics faculty are committed to student success. We provide  CIS students a consummate hands-on experience our courses. Our students when they graduate, are ready for the real-world.

Meet Our Faculty

Scholarship Opportunities

Whether you're a future freshman, a transfer student or a current UCM student, or for a Masters student, there are several scholarship opportunities for Computer Information Systems and Analytics Students.

Find out more CIS scholarships 

 

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DOMESTIC ADMISSIONS

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INTERNATIONAL ADMISSIONS

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 AACSB Accredited

 

 

MS BDA & IT Contact Info

Sam Ramanujan, Ph.D.
Professor of Computer Information Systems and Analytics Graduate Coordinator - MS CIS & IT & MS BDA IT
Dockery 301G
Tel: Ph: 660.441.0496Fax: 660.543.8465

 

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