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2018-2019 Course Catalog 
    
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2018-2019 Course Catalog [ARCHIVED CATALOG]

Applied Big Data Analytics, AAS

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Total Credits: 60

Major Number: 5897
CIP Code: 11.0301

Program Description

As technology advances, our culture continues to generate more and more data. This phenomenon has been called “Big Data” and analysts are needed to convert Big Data into usable information that helps people make decisions. People trained in Big Data analytics are able to do this important work. Students completing the Applied Big Data Analytics AAS curriculum will develop highly marketable skills and knowledge that prepare them to enter today’s Big Data industry in the public and private sector such as retail, manufacturing, and government. In particular, graduates can perform searches and create reports based on business analytics, internal operations, or security operations from given datasets; they can install, configure, operate, and maintain Hadoop; they can use Splunk to generate security alerts, interactive dashboards, visualizations, and other business intelligence; and they can address security and privacy issues.

Program Prerequisites

Course placement into MATH 0070  or above, or completion of MATH 0030  or MATH 0060  with a grade of C or higher, course placement into college-level English and Reading OR completion of ENGL 0950  with a grade of C or higher OR completion of RDNG 0940  with a grade of C or higher and qualifying English Placement Exam OR completion of RDNG 0950  with a grade of C or higher and ENGL 0090  with a grade of C or higher OR completion of ESOL 0051  with a grade of C or higher and ESOL 0052  with a grade of C or higher and successful completion of ECT 1001  with a grade of C or higher or proof of current A+ certification or demonstrated, relevant work experience or instructor consent.

Special Instructions

None

Program Requirements

Core Requirements

Total Credits: 20

Career/Occupational Requirements

Total Credits: 23

Career/Occupational Elective Requirements

None

MnTC/General Education Requirements

Goal 1: Communication

Select one
Total Credits: 7

Goal 2: Critical Thinking

Fulfilled when all MnTC goals for this degree are complete.

Goal 3 and/or 4: Natural Sciences/Math/Logical Reasoning

Total Credits: 4

Goal 5: History/Social/Behavioral Sciences

Minimum of 3 credits.

Total Credits: 3

Goal 6: Humanities/Fine Arts

Minimum of 3 credits.

Total Credits: 3

Goals 7-10: Theme Goals

Three credits in one Goal area selected from Goals 7, 8, 9 or 10 are required. Many courses from Goals 1-6 also meet Goals 7-10. One course may fulfill a maximum of two Goals. Credits count only once.

Goal 7: Human Diversity
Goal 8: Global Perspectives
Goal 9: Ethical and Civic Responsibility
Goal 10: People and the Environment

Total Credits: 17

MnTC Elective Requirements

None

Additional Elective Requirements

None

Additional Requirements

None

Program Information

General Requirements for Degrees, Diplomas, and Certificates

See Century College Policy 3.17.0.1

Program Note

None

Transfer, Articulation Agreements, and Partnerships

See the Century College website for information regarding transfer.
This program is intended primarily for employment preparation rather than transfer to a four-year institution. Some courses may not transfer to a number of four-year colleges. If you are considering the possibility of transfer, you may wish to talk with your advisor, counselor, or program instructor before registering to discuss your goals, look at programs designed for transfer, and develop a plan.

Program Learning Outcomes

At the end of this program students will be able to:

  • describe Big Data architecture
  • explain Big Data assets and map threats to Big Data assets.
  • install, configure and manage Hadoop platform.
  • create reports and charts with Big Data analytics platform.
  • implement analytics and data science projects using Splunk’s statistics capability
  • perform searches and reports based on business analytics
  • use Splunk’s statistical functions to perform calculations on field values with conditional statements to generate security alerts
  • use Splunk’s built-in and custom visualization capability to generate business intelligence
  • use Splunk’s Big Data to create interactive, real-time business dashboards that inform key business decisions.
  • perform analysis using Splunk’s statistical functions such as min, max, mean, median and standard deviation.
  • use Splunk to deliver contextual security analytics in the form of interactive dashboards.
  • use DB Connect to explore configured SQL database schema with Big Data technology.
  • use Advanced Lookups to build a baseline lookup table and reference the baseline values in alert.

Program Contact Information

Israel Alade 651.773.1787 Room 1743 East

Sample Plan

Semester 1

Total Credits: 16

Summer

Total Credits: 3

Semester 2

Total Credits: 16

Semester 3

Total Credits: 12

Semester 4

Total Credits: 13

Note

This information is subject to change. Changes and updates are posted on century.edu

Century College is a member of the Minnesota State system. We are an affirmative action, equal opportunity employer and educator. This document can be available in alternative formats to individuals with disabilities by calling 651.779.3354 or 1.800.228.1978 x 3354.

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