Data Analytics (BS)


2016-2017 UNDERGRADUATE STUDIES CATALOG

Effective 1 June 2016 through 31 May 2017

Please see the Undergraduate Catalog Archives for PDF versions of past catalogs.

This program offered by Walker School of Business & Technology/Math & Computer Science Department

Program Description

Data analytics is widely embraced by companies to help executives in decision making. It allows companies to more accurately see pictures of what the business is doing and aims at enabling rich insights and better decision making. Data analytics encompasses a wide range of technologies to support analyzing business data, transforming information and generating intelligence. Technologies play important roles in the data analytics process and form the foundation of its architecture. More and more companies need knowledgeable people to perform analysis and gain the company’s success through analytically focused strategies. There is a constant demand for data analysis and information analysts who can understand database, query data, perform activities in analytical processing, statistical analysis, forecasting, and data mining. The program is created to meet this demand, helping students understand underlying concepts and methodologies that are used in the data analytics process. Students in the program will be armed with various technologies that support effective business decision making in today’s increasingly competitive environment.

Students in the program will study concepts and principles in data analytics and the underlying building technologies. Students will experience a broad category of applications and techniques for gathering, storing, analyzing, and providing access to data to help business users perform better decision making. The skill set learned from the program will enable students to take challenges in the process of transforming data to meaningful information and identifying new opportunities for the organization. This will better position them towards professional accomplishment in their lifelong learning process.

Learning Outcomes

  • Student will be able to demonstrate critical thinking skills in the field of data analytics.
  • Student will be able to demonstrate the ability to solve problems related to the program content.
  • Student will be able to demonstrate an understanding of the concepts and principles of software systems.
  • Student will be able to analyze, design and document a system component using appropriate business intelligence techniques and models.
  • Student will be able to demonstrate the ability to incorporate various data analytics elements.
  • Student will be able to demonstrate an understanding of fundamental principles of data analytics systems and technologies.

Degree Requirements

A minimum of 128 credit hours consisting of the following:

  • 36 required credit hours*
  • Applicable University Global Citizenship Program hours
  • Electives

*At least 18 of the required 36 credit hours must be taken at Webster University. All upper-level courses must be taken at Webster University.

Required Courses

  • STAT 1100 Descriptive Statistics (3 hours)
  • MATH 1360 Business Mathematics (3 hours)
  • COAP 2560 Electronic Spreadsheet (3 hours)
  • CSIS 1500 Introduction to Business Technologies (3 hours)
  • CSIS 2300 Electronic Commerce (3 hours)
  • CSIS 2500 Introduction to Data Science (3 hours)
  • CSIS 3410 Information Analysis (3 hours)
  • CSIS 3700 Data Analytics Methods (3 hours)
  • CSIS 4300 Database Systems (3 hours)
  • CSIS 4310 Decision Support Systems (3 hours)
  • CSIS 4320 Data Warehousing (3 hours)
  • CSIS 4330 Data Mining (3 hours)

All core courses are available online.