May 16, 2022  
2021-2022 Graduate Catalog 
    
2021-2022 Graduate Catalog

Big Data Analytics and Information Technology, MS (53-645) (30 hours)


Student Learning Outcomes - The graduate with a Master of Science degree in Big Data Analytics and Information Technology will use the knowledge and skills obtained in the program to:

  • Apply different forms of analytical models (descriptive, predictive, and prescriptive) to improve business decision making.
  • Develop hands on skills with analytical tools and software.
  • Implement big data systems and clusters.
  • Manage cloud computing environment.

REQUIRED UNDERGRADUATE BACKGROUND COURSES (0-18). The following undergraduate courses (or equivalents) are required. Some of the requirements may be waived on the basis of the Computer Information systems (CIS) track. Undergraduate work already completed may be used to satisfy these requirements.

CIS 1625 Programming with Visual C# (3)

CIS 2665 Principles of Data Communications and Local Area Networking (3)

CIS 3625 Business Application Development with Java (3)

CIS 3650 Database Management Systems (3)

CIS 3660 Analysis and Design of Computer Information Systems (3)

FIN 2801 Business Statistics I (3)

Electives from the Following: 3 Semester Hours


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 (3)  to meet the elective requirements. If the student does not receive a paid internship, any other graduate level CIS course approved by the advisor, may be taken.

Select 3 semester hours from the following:

Minimum Graduate Hour Total: 30 Semester Hours