Home

Big Data Analytics Master's Degrees: 20 Top Programs

These one-year and two-year graduate programs are just what's needed to close the big-data talent gap. Read on to find a school that fits your ambitions and background.
Big Data Analytics Master's Degrees: 20 Top Programs
Comments | Doug Henschen | January 08, 2013 09:06 AM

E-mail | Share

Harvard University

Cambridge, Mass.

Degree: Masters of Science in Computational Science and Engineering

School: School of Engineering and Applied Sciences

Description: One-year program developed in 2010 by Harvard's Institute For Applied Computational Science (IACS). Provides mathematical and computing foundations complemented by independent research projects and elective courses. Graduates will master mathematical techniques for modeling and simulation of complex systems; parallel programming and collaborative software development; and efficient methods for organizing, exploring, visualizing, processing and analyzing very large data sets.

Prerequisites: Undergraduate degree in the natural sciences, mathematics or engineering. GRE test required.

Full-time program: 1 year.

Part-time options: Limited

Distance learning options: No

Recommended Reading

Big Data Talent War: 7 Ways To Win

13 Big Data Vendors To Watch In 2013

5 Big Data Predictions For 2013

Big Data Topic Center

Should You Outsource Your Data Scientist?

Big Data Revolution Will Be Led By Revolutionaries

Kaggle Crowdsources The Data Scientist Problem

Future Power Grids Will Need Big Data Analysis

Research: Big Data, Smart Data

Research: 2012 Big Data and Analytics Staffing Survey

Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs Big Data Analytics Master's Degrees: 20 Top Programs


Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Tune In to BYTE
Facebook Twitter LinkedIn Newsletter RSS
Whitepapers
whitepaper
CIO Strategies for Consumerization: The Future of Enterprise Mobile Computing
In this paper you will learn the five trends shaping the future of enterprise mobility. Learn how the rise of social media as a business application, the lurring between work and home, the emergence of new mobile devices, the demand for tech savvy employees and changing expectations of corporate IT will fundamentally change the workplace.
whitepaper
Media Tablets in the Enterprise
In a survey of more than 1,700 information workers (iWorkers) in North America, notebooks, desktops, and smartphones were found to be “must-have” devices, while tablets, slates, and netbooks were relegated to “nice-to-have” status, according to a commissioned study conducted by Forrester Consulting on behalf of Dell and Intel.
Sponsored by: Dell
Upcoming Events
  • The Critical Importance of High Performance Data Integration for Big Data Analytics
  • Capitalize on the Power of Big Data to Transform Marketing
  • Big Data Strategies That Deliver ROI
  • Applying analytics to optimize marketing effectiveness
  • Leveraging Big Data and In-Memory Data Storage for Faster Capital Market Analytics


    • More Webcasts>>