Master of Science in Data Science and Analytics Engineering

Graduate Programs

Courses and General Requirements for Degree

All students in the Master of Science in Data Science and Analytics Engineering program will take thirty (30) credit hours with the Thesis option, thirty-three (33) credit hours with the project option, or thirty-six (36) credit hours for the coursework only option of graduate-level courses to graduate from the program, not including any provisional admission course requirements. Students must obtain a minimum grade of B for all courses counted towards graduation.

Thesis option: the student must take four core (12 credits), a minimum of four elective (12 credits) graduate-level courses, and six (6) credits of thesis.A faculty member, as a thesis advisor, must supervise the thesis. The initial thesis proposal must be defended with an oral presentation and approved by the student’s thesis committee (three members, including the advisor). The thesis must be submitted to the School of Graduate Studies in a bound form after the oral defense, which will occur after completion. A student must submit at least one conference paper from his/her thesis work before the defense.

Non-thesis option: the student must take four core (12 credits) courses, a minimum of six data science and analytics engineering electives (18 credits), graduate-level courses, and a 3-credit-hour research project that the project advisor must approve. A copy of the resulting scholarly paper (if any) must be submitted to the department. Students must produce a scholarly activity as part of their project work.

Course-work-only option: the student will be required to take four core (12 credits) and a minimum of eight elective (24 credits) graduate-level courses.

Suggested Program Structure

	Thesis Option	Project Option	Coursework Only Option
Core	12	12	12
Electives	12	18	24
Project	N/A	3	N/A
Thesis	6	N/A	N/A
Total	30	33	36

Program Structure

Core:

DSEN 600 Statistical Inference with Business Applications	3 credits
DSEN 610 Data Analysis	3 credits
DSEN 614 Intermediate Applied Statistics for Analytics	3 credits
DSEN 615 Applied Statistics for Analytics	3 credits

Electives:

DSEN 620 Cyber Analytics and Intelligence	3 credits
or
ETCS 684 Cyber Analytics and Intelligence	3 credits
DSEN 625 Spatial Technology and Data Analytics	3 credits
DSEN 630 Financial Engineering, Management, and Modeling	3 credits
DSEN 635 Analytical CRM (Customer Relationship Management)	3 credits
DSEN 640 Accounting Analytics and Data Visualization	3 credits
DSEN 645 Text Analysis for Business Application	3 credits
DSEN 650 Machine Learning	3 credits
DSEN 655 Predictive Analytics in Engineering and Aviation Systems	3 credits
DSEN 668 Robotics. cross-listed with ENME/ENEE/ENCE 468	3 credits
DSEN 665 AI and Big Data Analytics in Construction	3 credits
DSEN 670 Data Analytics for Hospitality and Tourism Industry	3 credits