Top 5 online computer science master’s degree programs

The University of Illinois had the top-ranked program this year.

The unveiling of Georgia Tech’s massive open online course (MOOC)-based computer science master’s degree, offered for about one-sixth the cost of the university’s traditional computer science master’s program, reflects the economic demand for computer-related jobs, Georgia Tech officials and technologists said.

A recent study from the job search website CareerCast pegged software engineer as the top job of 2012, based on criteria including salary, hiring outlook, stress levels, and work environment. Seven computer-related jobs made the CareerCast top jobs of 2012.

No institution will compete with Georgia Tech’s $7,000 Udacity- based computer science program — not yet, anyway — but many universities have seen their web-based comp-sci courses gain prestige over the past few years. compiled a list of the country’s top online computer science master’s degree programs, as seen below, along with varying tuition costs from one school to the next.

1. University of Illinois

Tuition: $1,000 per credit

Description: UI’s online computer science curriculum is  “oriented toward software and information assurance and systems security and are most appropriate for students interested in the design, analysis, and implementation of software and security,” according to the university. The Computer Science Department enrolls just 12 online graduate students each fall semester.

2. Purdue University

Tuition: $3,333 for every three-credit course

Description: Purdue, which launched the nation’s first-ever computer science program, “provides the depth and breadth of knowledge needed to keep pace with rapid changes in technology and to assume leadership positions in development and deployment of software solutions,” according to the university. “Included among the offerings are courses in system software, computational methods and algorithms, computer security and cryptography, data mining, information retrieval, machine learning, and parallel and distributed systems.”

eCampus News Staff

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