Undergraduate Certificate in Data Management and Analysis

Advance your career and stand out to employers with an Undergraduate Certificate in Data Management and Analysis.

Download the Program Sheet

CSU-Global’s Undergraduate Certificate in Data Management and Analysis* teaches you best practices for managing enterprise data and preparing it for business use. With this knowledge you’ll understand the various types of analysis possible to help an organization increase its productivity, profitability, and performance, thereby making you an asset in the field.

After you’ve completed this stand-alone, transcribable, nationally recognized certificate program, you’ll be able to…

• Design a database from user requirements.
• Prepare data for analysis.
• Perform database administrator functions.
• Execute data mining and other statistical analyses.

Take your career to the next level by showcasing your skills in data management with a certificate employers will respect and recognize.

* This certificate is eligible for Title IV financial aid.

Career Outlook

The Undergraduate Certificate in Data Management and Analysis can give you the skills, knowledge, and recognized credentials you need to take your career to the next level. Continuing your education and specializing in fields like data management and analysis showcases your expertise in the field and commitment to the industry.

Like most business related fields right now, data management and analysis is growing at an above average rate according to the Bureau of Labor Statistics. While data management and analysis skills are necessary in almost all businesses, the top industries are government, scientific, and technical services.

The average salary for someone with these data management and analysis credentials is $80,110 annually, or almost $40 hourly. Earning a nationally recognized certificate can help you land these high paying roles and continue to develop your skills for long-term career success.

Program

Program Description

The Undergraduate Certificate in Data Management and Analysis, an 18 credit-hour stand-alone program, is aimed at undergraduate students who are not majoring in MIS and Business Analytics and would like to broaden their skills in data management and analysis. Courses cover an entire spectrum of data analytics and management, including database management, statistics, data mining, cloud computing, and Big Data. Students interested in these courses should have a firm knowledge of basic computing skills including the ability to grasp and understand new data processing and analytics concepts that relate to information systems.

Learning Outcomes

• Compare different options of storing, manipulating, and analyzing data.
• Create databases including the areas of design, implementation, and management.
• Examine the purpose, context, and relevance of data analytic tools for making decisions.
• Apply statistical methods, regression techniques, and machine-learning algorithms to analyze data sets.
• Conduct data-based analysis to give results within the context of issues.

Courses

• MIS407: Database Concepts

  The course covers the basics of relational databases, including basic terminology and concepts, database integrity, and normalization. The relational model will be examined in detail in order to appreciate database structure, integrity, and manipulation. Current relational database management systems will be explored and contrasted, as will basic relational database design and SQL programming. This course is a replacement for ITS407 as of the 2013-2014 Spring-A term. Students cannot receive credit for both these courses.

• ITS410: Database Management

  This course teaches students to design, implement, and use database management systems. Students gain a working knowledge of available software packages, concepts of query languages, software integration services, and security considerations. Students will also learn fundamentals of structured query language (SQL) in developing common queries and reports. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an "EX" suffix.)

• ITS400: Information Technology Project Management

  Prepares managers to develop an IT strategy that aligns business strategy with IT infrastructure for a competitive advantage. Prepares students for the CompTIA Project+ certification. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an "EX" suffix.)

• MIS440: Cloud Computing and Big Data

  The promise of cloud computing technology to provide unlimited utility computing and storage capacity to organizations is investigated. The various types of current cloud computing services and big data solutions offered by the major service vendors are studied. The challenges of managing "big data” are reviewed, and the relationships of cloud computing, big data, and data mining are examined.

• MIS445: Statistics in Business Analytics

  A study of data analysis, data production, and statistical inference. Areas of study include: surveys and designed experiments, randomization, causation, regression, and inference using hypothesis tests. This course also explores using statistical methods for the analysis of, data for an enterprise performance and quality, effectiveness, and marketability. Statistical software will be utilized to conduct a predictive analysis, analyze the results, and document the findings. The preparation of input data for analysis from a relational database using SQL is also performed.

• MIS450: Data Mining

  Investigate various statistical approaches used for data mining analyses. The preparation of data suitable for analysis from an enterprise data warehouse using SQL and the documentation of results is also covered. A simple data mining analysis project is performed to reinforce the concepts. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an “EX” suffix.)

Cost and Schedule

Learn more about the Undergraduate Certificate in Data Management and Analysis.