Master of Science in Cybersecurity and Data Analytics

Master of Science in Cybersecurity and Data Analytics

UT Tyler Department of Computer Science

The Master of Science in Cybersecurity and Data Analytics offers students an opportunity to develop competency and skills valuable in today’s challenging job environment. The program will be offered completely online.  Both Cybersecurity and Data Analytics are among the Top 5 jobs in the United States in terms of growth.  Every student will be required to develop skills in both areas.  In addition, the program has built in three base certificates and two possible certificates depending on elective course selection and successful completion of certificate requirements. These certificates will be documented with both a certificate and a milestone on the student’s transcript. 

Another key point is the program has been designed without prerequisites. The leveling needed for success in the program has been created with the built-in Foundational Course sequence. The program is designed for graduates across all disciplines of computer science programs as well as baccalaureate graduates in other related disciplines.



There are no prerequisites for the MS Cybersecurity and Data Analytics Program.

Transfer of Credit

A student may transfer a maximum of 6 semester hours of graduate credit in which a grade of “B” or better has been earned from approved institutions. Transfer credit must be an almost exact match to an existing course in the program. Transfer credit is subject to the approval of the student’s advisor and program coordinator.

Admission Requirements

  1. A satisfactory score on the General Test (verbal, analytical, and quantitative) of the Graduate Record Examination (GRE) or the Graduate Management Admission Test (GMAT).
  2. A baccalaureate degree from an accredited institution.
  3. A satisfactory grade point average (GPA) on all prior advanced-level (junior, senior, and graduate) work taken.
  4. A demonstrated proficiency in the use of the English language.

Consideration is also given to one or more of the following: the applicant's demonstrated commitment to his or her chosen field of study, socioeconomic background, first generation college graduate, multilingual proficiency, geographic region of residence, and level of responsibility in other matters including extracurricular activities, employment, community service, and family responsibilities.

Degree Requirements

Candidates for the Master of Science in Cybersecurity and Data Analytics must satisfactorily complete 36 Semester Credit Hours (SCH) of listed graduate courses within the program.

Required Courses (9 Courses - 27 SCH)

The 27 semester-hour core requirement for the Master of Science in Cybersecurity and Data Analytics is as follows:

Prefix and Number

Required/Core Course Title


CSCI 5346 Database Analytics 3
CSCI 5374 Quantitative Methods and Analysis 3
CSCI 5350 Machine Learning 3
COSC 5341 Cybersecurity 3
COSC 5342 Cybersecurity Management 3
COSC 5363 Contingency Planning 3
COSC 5347 Business Intelligence and Analysis 3
CSCI 5348 Quantitative Investing 3
CSCI 5334 Data Analytics with Python



Elective Courses (3 Courses - 9 SCH)

Prefix and Number

Required/Core Course Title


COSC 5364 Cyber Risk Analysis 3
COSC 5367 Cryptography 3
COSC 5371 Data Mining 3
COSC 5388 Digital Forensics 3
CSCI 5362 Ethical Hacking 3
CSCI 5363 Reverse Engineering and Malware Analysis 3
CSCI 5342 Sports Data Analytics 3
CSCI 5345 Text Analytics 3
MANA 5365 Healthcare Analytics 3
MARK 5340 Data-driven Marketing Insights 3


All candidates for the Cybersecurity and Data Analytics must also meet the following requirements:

A minimum grade point average of 3.0 on all graduate level work taken at UT Tyler and on all graduate level courses applied to the degree. No course with a grade below "C" may be applied toward this degree.

Certificate Programs

Program Outcomes

MS Cybersecurity and Data Analytics students at the time of graduation are expected to:

  1. Possess an enhanced breadth of knowledge in both Cybersecurity and Data Analytics, combined with a depth of knowledge analytical problem-solving skills.
  2. Possess the skills and knowledge for lifelong learning in dynamic environments of Cybersecurity and Data Analytics.
  3. Possess and demonstrate depth and breadth of knowledge of the theoretical foundations of data analysis computing.
  4. Possess and demonstrate oral and written communication skills.
  5. Understand and respect the professional standards of ethics expected of a Cybersecurity Expert or Data Analyst.
  6. Possess a knowledge of Cybersecurity and Cybersecurity Management.