Masters Degree in Data Science & 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.

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TUITION AND FEES
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)
STUDY PLAN
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

Learn how to start the enrollment process & upload important Admissions documents

Admissions Requirements

Applicants for admission must have a bachelor’s degree from an appropriately accredited institution. Applicants must submit:

  1. A completed Application Form
  2. Official transcripts verifying completion of: a Bachelor’s degree from an institution accredited by an agency recognized by the US Department of Education, CHEA, or listed in the International Handbook for Colleges or Universities. (Master’s Degree program only) Please refer to the international transcript requirements for degrees earned outside of the US.
  3. High School or the equivalent (Certificate programs only)
  4. A close-up copy of an official government ID or passport and a photo of the applicant holding the official government ID
  5. Application fee

Additional requirements for international students:

  1. Transcripts not in English: Transcripts that are not in English must be translated into English and evaluated by an approved third party recognized by the National Association of Credential Evaluation Service (NACES). They may also be evaluated by a trained transcript evaluator fluent in the language on the transcript. Evaluators must possess expertise in the educational practices of the country of origin and must include an English translation of the review. All translated materials must be official.

International Transcript Requirements: In order to be accepted, an official transcript for a degree program completed in a country other than the U.S. must include the following information:

  1. The type of degree completed (bachelor’s, master’s, or doctorate degree)
  2. The date when the degree was conferred
  3. A list of all courses along with the corresponding credits (or units) and the grades earned
  4. A legend with the grading scale and the key to read the transcript
  5. Signature by the appropriate university official

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