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

Northwestern University

Evanston, Ill.

Degree: Master of Science in Analytics

School: McCormick School of Engineering and Applied Science

Description: Curriculum explores data science, information technology and business analytics. Combines mathematical and statistical study with instruction in advanced computation and data analysis. Students learn to identify patterns and trends, interpret and gain insight from vast quantities of structured and unstructured data, and communicate their findings.

Encompasses three areas of data analysis: predictive (forecasting), descriptive (business intelligence and data mining), and prescriptive (optimization and simulation). Program is supplemented by an internship placement and industry supplied projects.

Prerequisites: Bachelor's degrees in engineering, business, computer science, math and information technology are typical, though no specific type of undergraduate degree is required. GPA of at least 3.0 is recommended.

Full-time program: 15 months.

Part-time options: Northwestern University's School of Continuing Studies also offers a part-time Master of Science in Predictive Analytics Online program.

Distance learning options: Yes. See part-time, online Predictive Analytics degree above.

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 Five Must-Haves of Big Data Storage
  • The principals of Information Governance for Big Data: What do you do when someone challenges your big data and analytics recommendations?
  • Growing Your Datacenter Without Growing Pains
  • Banking on Results: Turn an Avalanche of Data into Actionable Insight
  • Real Time Analytics: A Case Study Webinar


    • More Webcasts>>