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MS in Computer Science

MS in Computer Science

With a Master of Science in Computer Science from our King Graduate School, you’ll build on the knowledge you’ve already gained, immersing yourself in the theoretical, practical, and analytical concepts behind cybersecurity, cloud computing, artificial intelligence, and more.

You’ll have the skills and the credentials to advance your computer science career even further — and continue learning throughout that career.

About The Programme

The program level objectives for students completing the MS in Computer Science are as follows:

  1. To build, strengthen and expand students' competencies, qualifications and marketability in four (4) areas:
  • Technical / Practical Skills
  • Business / Soft Skills
  • Industry Training / Experience
  • Certification Preparation

 

To cultivate problem-solving and critical thinking skills to solve complex computing problems through identification, assessment and evaluation of business and information systems; effectively design, develop and expand diverse software and system applications.

To foster students' leadership and decision-making skills; and ability to work with others to function effectively as software and systems solution providers.

To enhance and elevate students' awareness in conducting themselves in a manner that is professional, ethical, and social.

To adequately prepare students for rewarding careers in computer science.

Course Details

Core Courses

Semester 1  (9 Credits)

  • KG 604  Graduate Research & Critical Analysis (3 credit)
  • CS 628  Data Science (3 credit)
  • CS 630  Database Systems (3 credit)

Semester 2  (9 Credits)

  • CS 617  Statistical Computing (3 credit)
  • CS 633  Data Mining (3 credit)
  • CS 650  Artificial Intelligence (3 credit)

Semester 3  (9 Credits)

  • CS 640  Computer Networks or Elective (3 credit)
  • CS 655  Machine Learning (3 credit)
  • CS 665  Analytic Techniques or Elective (3 credit)

Semester 4  (9 Credits)

  • CS 670  Cloud Computing (3 credit)
  • CS 675  Big Data: Management & Analytics (3 credit)
  • CS 703  Applied Data Science Project (capstone) (3 credit)

Note: International students may take 2 courses per semester plus a 1-credit CPT course to meet the full-time requirement.

TOTAL CREDITS - 36

Programme Highlights

University
Monroe College
Total Fee
$20,592
Total Hours
36 Hours
Credit Fee
$572

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5473 Blair Rd, Dallas, TX 75231, USA

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