Computer Science, M.Sc. | Central Michigan University | Mount Pleasant, United States
24 months
Duration
925 USD/credit 13875 USD/year
726 USD/credit 10890 USD/year
726 USD/credit 10890 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

It's all about the technology. Businesses that employ artificial intelligence, machine learning and other emerging technologies rely on computer expertise to forge the future. Prepare for a career in high-tech with a Computer Science master’s degree from Central Michigan University.

Overview

Computer pros with a solid understanding of today’s most impactful digital innovations will lead in their field. In our computer science program you’ll explore the most relevant technologies that will forge the future.Study areas include artificial intelligence, software engineering, data modeling, cloud computing, big data, databases and security. Other areas of study include pattern recognition and image processing. Projects typically involve the application of Java, Python, C/C++, R or other programming languages to concepts and problems.

With this Computer Science program, you’ll be ready to move up into advanced professional positions across the U.S. and around the world.

Program Highlights

Take exciting hands-on courses as you prepare for a rewarding profession in many computer-related careers and industries.

  • Learn from distinguished faculty with practical expertise in a variety of computer science fields.
  • Gain more experience and use the special-purpose labs running advanced software applications.
  • Have access to UNIX and LINUX workstation labs as well as the Central Michigan University Center for Software Development.
  • Gain hands-on experience and develop skills using the special-purpose labs running advanced software applications.
  • Participate in faculty-driven research on interesting technology areas such as machine learning, data mining, social media and computer security.

Programme Structure

Courses include:

  • Analysis and Design of Algorithms
  • Supervised Machine Learning
  • Applied Data Engineering
  • Artificial Intelligence
  • Pattern Recognition and Data Mining

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details

National students Rolling admission

Credits

30 SCH

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
3

Other requirements

General requirements

  • A bachelor's degree from a regionally accredited institution
  • Along with the application, you’ll need to submit a $50 application fee
  • Submit a copy of your passport
  • Submit proof of English proficiency or your intent to study English upon arrival – unless you are from an exempted country where English is the primary language of instruction. 
  • You also may demonstrate English proficiency by completing the English studies program through CMU's English Language Institute. 
  • Applicants must provide a third-party course-by-course credential evaluation and document verification

Tuition Fee

To alway see correct tuition fees
  • International

    13875 USD/year
    Tuition Fee
    Based on the tuition of 925 USD per credit during 24 months.
  • National

    10890 USD/year
    Tuition Fee
    Based on the tuition of 726 USD per credit during 24 months.
  • In-State

    10890 USD/year
    Tuition Fee
    Based on the tuition of 726 USD per credit during 24 months.

Living costs for Mount Pleasant

1000 - 1500 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computer Science
-
Central Michigan University
Computer Science
-
Central Michigan University

Wishlist

Go to your profile page to get personalised recommendations!