Computer Science, M.S.

Campus Masters Full Time
Delivery
Campus
Study mode
Full Time
Level
Masters

Introduction

Computer Science, M.S. is a Masters program taught at Clark University, USA. The program is offered in campus-based modes with full-time (As little as one year with full time study) options.

The Computer Science, M.S. at Clark University prepares students to study core computer science topics such as algorithms, programming languages, and software architecture. It also covers emerging areas including Generative Artificial Intelligence, Retrieval-Augmented Generation, Multimodal AI, and Human–Computer Interaction, with a focus on using data, algorithms, and insight to build intelligent systems.

Learning uses hands-on applied projects and an industry-aligned capstone, alongside applied learning through internships or capstone research. The program includes 10 course units: 4 core courses, 4 concentration courses, and 2 elective courses. Delivery is flexible, with on-campus, online, or hybrid options, and study can be full time or part time.

Students choose one of four concentrations: Intelligent Systems and AI Solutions Design, Human-Computer Interaction (HCI), Data Intelligence, or Software Engineering. The degree can lead to roles including UX/UI Product Designer, Data Scientist, DevOps Engineer, Software Architect, and Artificial Intelligence Specialist.

Modules

  • Intelligent Systems and AI Solutions Design
  • Human-Computer Interaction (HCI)
  • Data Intelligence
  • Software Engineering

Admission Requirements

The minimum requirements for admission in Computer Science, M.S. at Clark University for all applicants (Domestic or International) are:

  • program specific academic requirment set by Clark University.
  • English Language OR any other language requirments as set by Clark University as pre-requiste for admission in Computer Science, M.S..

Note: Please check the university website in the link below.

Courses Units

More Information

  • UX/UI Product Designer
  • Digital Content and Information Designer
  • Data Scientist
  • DevOps Engineer
  • Software Designer
  • Software Architect
  • Artificial Intelligence Specialist
  • Web Developer
  • Business Analyst

Scholarships

80 fully funded scholarships are listed for USA. See USA scholarships.