Masters Degree

Earn your Masters of Science in Data Science and Cyber Security

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DU's Masters Degree

Program Description:

Level of Students: Graduate
Number of Courses: 12
Credit Hours: 36 Semester Credit Hours
Delivery Method: Online

Daience University’s Master of Data Science and Cyber Security program prepares professionals to assume cyber security and information assurance leadership roles in corporations, agencies, and organizations. The curriculum is rich in computer security management, IT security threat assessment, incident response, organizational management and behavior and leadership, and is designed to prepare students to become creators of knowledge and inventors of processes.

The master’s degree has been divided into a set of core courses that provide the necessary skills in data science, cyber security, organizational behavior, structure, research, and writing. The program offers select specializations that allow students to focus on a field of study that best meets their individual needs and goals. Each specialization aligns with industry skills and knowledge that have been derived from the NICE framework to enhance career applicability.

LAUNCHING IN 2020! Stay updated on enrollment dates by filling out the form on our Contact Page!

Master of Science in Data Science and Cyber Security
$75 Application Fee
$200 Registration Fee
$100 Library Services Fees
$750 Tuition (per 3 credit hour course)
Estimated: $50 - $100/course Books & Materials Fees
$2650 Total Projected Cost per Semester (USD)
Term 1
Course Code Course Name Credit Hours Prerequisite
DSCS701 Research and Writing for the IT Practitioner 3 hrs
DSCS703 Programming with Python 3 hrs
DSCS707 Linux Networking and Security 3 hrs
Total 9 hrs
Term 2
Course Code Course Name Credit Hours Prerequisite
DSCS704 Hacker Mind (profiling the IT Criminal) 3 hrs
DSCS727 Big Data Analysis 3 hrs
DSCS705 Operational Security for Critical Infrastructure 3 hrs
Total 9 hrs
Term 3
Course Code Course Name Credit Hours Prerequisite
DSCS708 Advanced Hacking Techniques 3 hrs
DSCS725 Deep Learning 3 hrs
DSCS710 Conducting Penetration and Security Tests 3 hrs
Total 9 hrs
Term 4
Course Code Course Name Credit Hours Prerequisite
DSCS726 Advanced Networking and Data Security 3 hrs
DSCS720 Artificial Intelligence 3 hrs
DSCS799 Capstone Project 3 hrs
Total 9 hrs
Admissions Requirements

Admission Requirements

Applicants for admission must have a bachelor’s degree in IT-related discipline, Engineering, business or law from an accredited institution.

  1. English Language Proficiency Assessment: minimum score of 530 on the paper-based Test of English as a Foreign Language (TOEFL PBT), or 71 on the Internet Based Test (iBT), a 6.5 on the International English Language Test (IELTS), or 50 on the Pearson Test of English Academic Score Report
  2. Official government ID or passport (international students)
  3. A photo of yourself holding your official government ID
  4. Official evaluation of international credits (for students with international transcripts only)
  5. Proof of English proficiency (international students only; see the section on English Requirement for International Students)
  6. Application fee
Program Learnign Outcomes

Program Learning Outcomes

  1. Differentiate the nature of risks and pathways of threats to cyber and cyber-physical systems
  2. Outline vulnerabilities to software, networks, and computer systems
  3. Illustrate the ability to recognize, design and implement efficient software solutions to problems
  4. Employ methods and strategies for protecting data on networks, in software, as well as, other cyber and cyber-physical systems
  5. Demonstrate the ability to communicate effectively and to work as a team
  6. Attain employment and/or to be accepted into a Data Science and cyber security PhD. Program
  7. Identify the constraints and costs of cyber crime and espionage to privacy, communication, and use of technology
  8. Summarize the role that government, corporate, and coalition policies can have towards slowing and stopping cyber crime and surveillance
Privacy Policy

Student Privacy Policy

Daience University’s student privacy and confidentiality policy follows the Family Educational Rights and Privacy Act (FERPA) guidelines.

FERPA was designed to protect the privacy of educational records, to establish the rights of students to inspect and review their educational records, and to provide guidelines for the correction of inaccurate or misleading information through informal and formal hearings.

Daience University will not disclose students’ education records without obtaining prior written consent, except in certain instances where a student's educational records may be disclosed to school administrators with a legitimate interest. These individuals may include persons whom Daience University has employed or contracted with, whose responsibility justifies access to all or part of an educational record for legal, educational, or administrative functions.

Students may inspect and review their own records pertaining to academic standing and other information at any time. Students may also seek amendment of inaccurate or misleading information in their education records.

Daience University depends on the accuracy of the records submitted by its students. False information on an application as well as any act to intentionally mislead or misinform instructional personnel or administrators is grounds for disciplinary action, including dismissal from the University. Students seeking access or amendment to their educational records should contact Support.