Entrance Requirements

The student must have completed a Bachelor’s degree with a minimum undergraduate GPA of 3.0 on a 4.0 scale and all prerequisites to be fully admitted. Students who have not completed all prerequisites can be admitted conditionally to take classes at UIS to complete the entrance requirements. The prerequisite courses must be completed with a minimum grade of B-.

* F1- students must have completed a course in data structures and algorithms to be considered for admission to the master’s degree program.

** Admissions to the online program will not be granted to international students residing outside of the U.S.

Degree Requirements

Students must complete 28 required credit hours and 8 elective credit hours to earn the Data Analytics degree while maintaining a minimum GPA of 3.0 on a scale of 4.0 as listed below.


Computer Programming Concepts I
Computer Programming Concepts II
Discrete Structures
Data Structures and Algorithms
Matrix Analysis and Numerical Optimization
Linear Algebra
Calculus I
Business Calculus
Applied Statistics

Required Courses (28 hours)

CSC 535 Deep Learning 4
DAT/CSC 472 Introduction to Database Systems 4
DAT 502 Introduction to Statistical Computation 4
DAT 530 Advanced Statistical Methods 4
DAT/CSC 532 Introduction to Machine Learning 4
DAT/CSC 534 Big Data Analytics 4
DAT 554 Data Analytics Capstone 1 4
Total Hours 28

Electives (choose two)

NoSQL Databases
Data Visualization
Advanced Database Concepts
Operations Research Methods
Operations Research Methods
Data Mining


On acceptance, students are assigned their academic advisor. Before registering for the first time, the student should discuss an appropriate course of study with the academic advisor.

Grading Policy

Students must earn a grade of B- or better in all courses that apply toward the degree, and a cumulative 3.0 grade point average is required to graduate. In addition, graduate students who do not maintain a 3.0 grade point average will be placed on academic probation according to campus policy. Graduate students enrolled in 400-level courses should expect more stringent grading standards and/or additional assignments. Courses taken on a CR/NC basis will not count toward the degree.

NOTE: Students also should refer to the campus policy on Grades Acceptable Toward Master’s Degrees section of this catalog.

Transfer Courses

Students are allowed to transfer a maximum of eight graduate semester hours with a grade of B or better. They will be evaluated on a case-by-case basis and approved by Student Petition form. Transfer students will be required to take a minimum of 28 credit hours of Data Analytics core and elective course work at UIS.