Course Syllabus

Fall 2022

Big Data Management for Analytics (Clemson MBA-8660)

Overview

The Master's in Business Administration (MBA) in Analytics Big Data Management (MBA-8660) course will teach you the essential database concepts, technology, and techniques you will need to understand when working alongside data analysts, scientists, and leaders in data-driven companies.

Big data is everywhere. Applied business analytics allows a manager to leverage this data using statistical analysis, including explanatory and predictive modeling and fact-based management, to drive decision-making. Analytics may be used to make decisions across all business realms, including marketing, human resources, customer service, or research and development.

Clemson University's MBA Program has worked with industry partners to create a new concentration in business analytics designed with their needs in mind.

Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on having both quality data to analyze and skilled practitioners who understand how to leverage the data to maximize effective decision-making for their organization.

Prerequisites

You can view the Clemson MBA Program Student Handbook for all prerequisite information. 

Course Objectives

MBA students who complete the course will:
(1) Gain an understanding of Big Data Management's foundations to deploy analytics solutions successfully. 
(2) Develop critical inferential thinking
(3) Gather a set of basic Structured Query Language (SQL) tools that can be deployed in almost any analytics production environment. 
(4) Possess practical skills for handling complex datasets.

Target Audience

This course is appropriate for MBA in Analytics students interested in learning the foundational strategies for Big Data Management practices. 

Instructor

Matthew J. Kolakowski

Competencies

Students will focus on realizing the business advantage and potential of data assets and business intelligence in managerial decision-making.

Course Summary:

Date Details Due