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Master’s Degrees

  /    /  Master’s Degrees

Degree Program

Master's degrees are advanced graduate degrees that can improve students' and working professionals' earning potential and professional advancement. Our master's programs are built on undergraduate knowledge and can also help learners from other disciplines enter a new field.

Concentration in Computer Networking

In our master program in networking, students take advanced courses in network security, management and architecture. Students must complete also a final research-based thesis or a capstone project prior to graduation.

For a Master of Science degree in Computer Networking, students must complete 30 semester credit hours: 21 credits of computer science core and 9 credits of concentration courses. Some students may require leveling courses, depends on their previous disciplines.

Leveling Courses ( 0 credits)

COMP 1412 Introduction to CS II (Prerequisite: None)
COMP 2313 Data Structures (Prerequisite: COMP1412)
COMP 3322 Software Engineering (Prerequisite: COMP1412)
COMP 3324 Computer Networks (Prerequisite: None)

Core Courses (21 Credits)

COMP 5327 Advanced Algorithms
COMP 5331 Advanced Cloud Computing
COMP 5329 Advanced Operating Systems
COMP 5322 Advanced Software Engineering
COMP 5356 Advanced Software Project Management
COMP 5334 Advanced Computer & Network Security
COMP 5353 Advanced Data Mining

Concentration Courses (9 Credits)

COMP 5351 Advanced Network Administration
COMP 5352 Advanced Internetworking Technology
COMP 5393 Capstone Project

Concentration in Computer Networking

As hackers and cybercriminals grow more sophisticated, information security professionals must match — and exceed — their skill level. A master’s degree in cybersecurity offers current professionals in the industry a chance to bulk up on their knowledge and skills, seek higher-paying jobs, and ultimately wield more influence in the field.

For a Master of Science degree in Cyber Security, students must complete 30 semester credit hours: 21 credits of computer science core and 9 credits of concentration courses. Some students may require leveling courses, depends on their previous disciplines.

Leveling Courses ( 0 credits)

COMP 1412 Introduction to CS II (Prerequisite: None)
COMP 2313 Data Structures (Prerequisite: COMP1412)
COMP 3322 Software Engineering (Prerequisite: COMP1412)
COMP 3324 Computer Networks (Prerequisite: None)

Core Courses (21 Credits)

COMP 5327 Advanced Algorithms
COMP 5331 Advanced Cloud Computing
COMP 5329 Advanced Operating Systems
COMP 5322 Advanced Software Engineering
COMP 5356 Advanced Software Project Management
COMP 5334 Advanced Computer & Network Security
COMP 5353 Advanced Data Mining

Concentration Courses (9 Credits)

COMP 5333 Cyber Crime Investigation
COMP 5336 Computer Forensics
COMP 5393 Capstone Project

Concentration in Data Analytics

The need for applicants to fill analytics leadership roles is significantly greater than the quantity of qualified analysts available, and data makes the world go round. You'll become a data mining, management, mapping, and munging expert with this master's degree in data analytics, allowing you to boost your earning potential and enhance your career.

For a Master of Science degree in Data Analytics, students must complete 30 semester credit hours: 21 credits of computer science core and 9 credits of concentration courses. Some students may require leveling courses, depends on their previous disciplines.

Leveling Courses ( 0 credits)

COMP 1412 Introduction to CS II (Prerequisite: None)
COMP 2313 Data Structures (Prerequisite: COMP1412)
COMP 3322 Software Engineering (Prerequisite: COMP1412)
COMP 3324 Computer Networks (Prerequisite: None)

Core Courses (21 Credits)

COMP 5327 Advanced Algorithms
COMP 5331 Advanced Cloud Computing
COMP 5329 Advanced Operating Systems
COMP 5322 Advanced Software Engineering
COMP 5356 Advanced Software Project Management
COMP 5334 Advanced Computer & Network Security
COMP 5353 Advanced Data Mining

Concentration Courses (9 Credits)

COMP 5337 Machine Learning
COMP 5355 Data Analysis
COMP 5393 Capstone Project

Concentration in Software Engineering

In our master's degree in software engineering, students learn the critical software development skills needed to succeed in high-level careers. While many software engineering jobs only require a bachelor's degree, employers often prefer candidates with more advanced degrees because of their deeper knowledge base.

For a Master of Science degree in Software Engineering, students must complete 30 semester credit hours: 21 credits of computer science core and 9 credits of concentration courses. Some students may require leveling courses, depends on their previous disciplines.

Leveling Courses ( 0 credits)

COMP 1412 Introduction to CS II (Prerequisite: None)
COMP 2313 Data Structures (Prerequisite: COMP1412)
COMP 3322 Software Engineering (Prerequisite: COMP1412)
COMP 3324 Computer Networks (Prerequisite: None)

Core Courses (21 Credits)

COMP 5327 Advanced Algorithms
COMP 5331 Advanced Cloud Computing
COMP 5329 Advanced Operating Systems
COMP 5322 Advanced Software Engineering
COMP 5356 Advanced Software Project Management
COMP 5334 Advanced Computer & Network Security
COMP 5353 Advanced Data Mining

Concentration Courses (9 Credits)

COMP 5339 Advanced Software Analysis & Design
COMP 5344 Software Testing, Verification, and Validation
COMP 5393 Capstone Project

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