Request Information
Fill out this brief form and an AIU Admissions Advisor will contact you and help with your degree questions.
*All fields are required
Master of Science in Information Technology (MSIT) Degree with a Concentration in Data Analytics
Online Master's Degree in Data Analytics
Our Master of Science in Information Technology degree program with a concentration in Data Analytics is designed to provide knowledge, skills, and abilities relevant to pursue a career path in the data analytics field. This online data analytics degree program emphasizes problem-based, hands-on learning to help you prepare for the demands of working in the data analytics field.
As you work through this industry-focused curriculum, you will have an opportunity to study how to design, analyze, test, and implement systems. Our data analytics courses also allow you to explore software development management, global technology management, enterprise architecture, and technological innovations. As you study data analytics, you will have the opportunity to apply advanced technical communications throughout the program. Additionally, courses in this master’s in data analytics program focus on technical topics as well as legal and ethical issues.
Next start date
Program Credits
45
Each Course Length
5 Weeks
Location
Online,
Atlanta,
Houston,
Classes start on Jul 30, 2025
Program Details
Why Earn a Master's in Data Analytics?
Data plays a larger role than it ever has before in the running of businesses and organizations. Data is often used for projecting long-term forecasts, identifying trends, developing risk analyses and more. And as even more organizations employ data across all facets of their business, the importance of skilled data analysis can be crucial to a successful business model.
According to the U.S. Bureau of Labor Statistics…
-
23%
It is projected that the employment of operations research analysts will grow from 2023 - 2033.2
Entering this field now could help you prepare to pursue numerous roles in data analytics, including Data Specialist, Operations Research Analyst, Data & Analytics Consultant, Business Intelligence Professional, Data Management Analyst, Business Data Analyst and more.
It is expected that demand for data analysts will continue to grow as technology improves and businesses look for every opportunity to increase efficiency. Additionally, improvements in analytical software are making data research more applicable to more areas.1
1 Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Database Administrators and Architects, at https://www.bls.gov/ooh/computer-and-information-technology/database-administrators.htm (visited February 4, 2025). This data represents national figures and is not based on school-specific information. Conditions in your area may vary.
2 Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Operations Research Analysts, at https://www.bls.gov/ooh/math/operations-research-analysts.htm (visited February 4, 2025). This data represents national figures and is not based on school-specific information. Conditions in your area may vary.
Program Outline
Today, data is all around us, helping organizations and individuals to improve their decision-making, increase their efficiency, gain insight into developing trends, and more. If you are considering entering an analytics master's program, you may be interested in pursuing a leadership role in the fields of data analytics, data management, data analysis, business data analysis, data research, or data operations. In just one year, our Master of Science in data analytics program can help you work to develop industry-relevant knowledge and skills to help you prepare to pursue the next step in your career path.
As you work your way through our data analyst master's program, you will be able to study skills needed to analyze data, evaluate data analysis methods and models, use data analysis and statistical techniques to support organizational goals, synthesize information from data, create visualizations that turn data analysis into actionable analytics, and create a strategic data analytics plan.
Why study data analytics?
The proliferation of data in all facets of modern life presents an opportunity for those interested in obtaining a master’s degree in data analytics. According to the U.S. Bureau of Labor Statistics, employment of operations research analysts is projected to grow 23% from 2023 - 2033.1
1 Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Operations Research Analysts, at https://www.bls.gov/ooh/math/operations-research-analysts.htm (visited February 3, 2025). This data represents national figures and is not based on school-specific information. Conditions in your area may vary.
Courses
Course Name
& Number
Course Number
Credits
Program Core
|
System Analysis and Design
ITCO502
This course focuses on advanced concepts in systems analysis, modeling, system design, testing, and implementation. Models covered in this course can include dynamic, static, and structural. Students have the opportunity to learn and use Computer-Aided Software Engineering (CASE) tools.
This course focuses on advanced concepts in systems analysis, modeling, system design, testing, and implementation. Models covered in this course can include dynamic, static, and structural. Students have the opportunity to learn and use Computer-Aided Software Engineering (CASE) tools.
|
ITCO502 | 4.5 | ||||
|
Advanced Technical Communication
ITCO512
This course is designed to provide students with skills to create and present oral, written, and visual technical communication in a variety of forms and in different professional settings. Emphasis is placed on the importance of stakeholders, situational requirements, and various forms of communication to include executive briefs, design specifications, project plans, user manuals, and position papers, and formal recommendations.
This course is designed to provide students with skills to create and present oral, written, and visual technical communication in a variety of forms and in different professional settings. Emphasis is placed on the importance of stakeholders, situational requirements, and various forms of communication to include executive briefs, design specifications, project plans, user manuals, and position papers, and formal recommendations.
|
ITCO512 | 4.5 | ||||
|
Software Development Management
ITCO522
This course is designed to provide students with the requisite knowledge to oversee or lead software development. Topics can include the principles of object-oriented software development, software quality assurance, agile methodology, and scrum.
This course is designed to provide students with the requisite knowledge to oversee or lead software development. Topics can include the principles of object-oriented software development, software quality assurance, agile methodology, and scrum.
|
ITCO522 | 4.5 | ||||
|
Global Technology Management
ITCO532
This course is designed to provide students with the requisite knowledge to oversee or lead software development. Topics can include the principles of object-oriented software development, software quality assurance, agile methodology, and scrum.
This course is designed to provide students with the requisite knowledge to oversee or lead software development. Topics can include the principles of object-oriented software development, software quality assurance, agile methodology, and scrum.
|
ITCO532 | 4.5 | ||||
|
Enterprise Architecture
ITCO542
This course focuses on enterprise systems architecture and related tools and frameworks. Students will have the opportunity to analyze enterprise requirements and recommend specific architecture based on requirements. Infrastructure components of data, software, hardware, networks, and architecture are covered along with a focus on data storage, hyperscale computing, and risk management.
This course focuses on enterprise systems architecture and related tools and frameworks. Students will have the opportunity to analyze enterprise requirements and recommend specific architecture based on requirements. Infrastructure components of data, software, hardware, networks, and architecture are covered along with a focus on data storage, hyperscale computing, and risk management.
|
ITCO542 | 4.5 | ||||
|
Innovations and Emerging Media
ITCO552
This course is designed to provide students with the opportunity to learn about current information technology innovations and emerging media. Contemporary topics may include artificial intelligence, machine learning, blockchains, cryptocurrencies, IoT, autonomous vehicles, and digital media. Specific focus is placed on the resultant ethical, social, legal, and cultural issues such as net neutrality, broadband regulation, privacy, and intellectual property rights.
This course is designed to provide students with the opportunity to learn about current information technology innovations and emerging media. Contemporary topics may include artificial intelligence, machine learning, blockchains, cryptocurrencies, IoT, autonomous vehicles, and digital media. Specific focus is placed on the resultant ethical, social, legal, and cultural issues such as net neutrality, broadband regulation, privacy, and intellectual property rights.
|
ITCO552 | 4.5 | ||||
|
Capstone
ITCO592
This course is designed to provide students with the opportunity to demonstrate mastery and critical knowledge from the MSIT degree program. Concepts, content, and knowledge from the MSIT program and selected concentration area are designed to help students perform a comprehensive analysis and study in a selected area of interest. Students are required to conduct research in their concentration area and prepare a formal technical report detailing their research and application of prior course concepts.
This course is designed to provide students with the opportunity to demonstrate mastery and critical knowledge from the MSIT degree program. Concepts, content, and knowledge from the MSIT program and selected concentration area are designed to help students perform a comprehensive analysis and study in a selected area of interest. Students are required to conduct research in their concentration area and prepare a formal technical report detailing their research and application of prior course concepts.
|
ITCO592 | 4.5 | ||||
| 31.5 Total Credit Hours | 31.5 Total Credit Hours | |||||
Data Analytics
|
Advanced Data Analytics
DAAN500
This course will focus on advanced concepts, techniques, and strategies for data analysis. Students will have the opportunity to use techniques and strategies to solve organizational problems using a problem-based approach.
This course will focus on advanced concepts, techniques, and strategies for data analysis. Students will have the opportunity to use techniques and strategies to solve organizational problems using a problem-based approach.
|
DAAN500 | 4.5 | ||||
|
Ethical, Social, and Legal Issues in Analytics
DAAN510
This course is designed to provide students with key insights into the ethical, social, and legal issues pertinent to the data analytics field. Students will have the opportunity to explore ethical, social, and legal issues specific to a selected industry.
This course is designed to provide students with key insights into the ethical, social, and legal issues pertinent to the data analytics field. Students will have the opportunity to explore ethical, social, and legal issues specific to a selected industry.
|
DAAN510 | 4.5 | ||||
|
Executive Strategies and Actionable Analytics
DAAN530
This course is designed to provide students with strategies organization executives can use respective to data analytics. An additional focus is the transformation and presentation of data analysis results into actionable analytics.
This course is designed to provide students with strategies organization executives can use respective to data analytics. An additional focus is the transformation and presentation of data analysis results into actionable analytics.
|
DAAN530 | 4.5 | ||||
| 13.5 Total Credit Hours | 13.5 Total Credit Hours | |||||
Program Learning Outcomes
- Scientific Methods
Design IT architecture to solve organizational requirements. - Application
Design plans for IT projects, programs, and operations. - Communication
Communicate technical information in various professional settings. - Big Picture
Evaluate emerging technologies in support of organizational goals. - Management
Demonstrate the ability to manage processes specific to an IT domain.
This program is not designed to meet the educational requirements for a specific professional license or certification that is required for employment in an occupation. As such, AIU has made no determination regarding prerequisites for licensure or certification in any state or jurisdiction.
Classes Overview
As you work towards your online master’s in data analytics, you’ll be able to use industry software tools in our 100% online data analytics degree program. In our fast-paced program, you can get access to 24/7 tutoring, and proactive faculty support, with no additional book or tech fees. Courses in our data analytics master’s degree program cover a number topics in this field—and include a capstone course to help you bring all your skills together.
For an Online Data Analytics Master's Degree, your classes may include:
Advanced Data Analytics
This course will focus on advanced concepts, techniques, and strategies for data analysis. Students will have the opportunity to use techniques and strategies to solve organizational problems using a problem-based approach.
Ethical, Social, and Legal Issues in Analytics
This course is designed to provide students with key insights into the ethical, social, and legal issues pertinent to the data analytics field. Students will have the opportunity to explore ethical, social, and legal issues specific to a selected industry.
Executive Strategies and Actionable Analytics
This course is designed to provide students with strategies organization executives can use respective to data analytics. An additional focus is the transformation and presentation of data analysis results into actionable analytics.
System Analysis and Design
This course focuses on advanced concepts in systems analysis, modeling, system design, testing, and implementation. Models covered in this course can include dynamic, static, and structural. Students have the opportunity to learn and use Computer-Aided Software Engineering (CASE) tools.
Global Technology Management
This course focuses on the global nature of technology and the management of technology in the international business environment. Key concepts can include risk management, legal issues, ethical issues, cooperation, and competition.
Innovations and Emerging Media
This course is designed to provide students with the opportunity to learn about current information technology innovations and emerging media. Contemporary topics may include artificial intelligence, machine learning, blockchains, cryptocurrencies, IoT, autonomous vehicles, and digital media. Specific focus is placed on the resultant ethical, social, legal, and cultural issues such as net neutrality, broadband regulation, privacy, and intellectual property rights.
Course content subject to change.
Why AIU
Faculty
Locations
Ways To Save
Mobile App
Accreditation
FAQ
AIU’s Master of Science in Information Technology (MSIT) with a Concentration in Data Analytics degree program is designed to help students prepare to pursue numerous roles in data analytics, including Data Specialist, Operations Research Analyst, Data & Analytics Consultant, Business Intelligence Professional, Data Management Analyst, Business Data Analyst, and more.1 Data is often used for projecting long-term forecasts, identifying trends, developing risk analyses, and more. It is projected that employment of data scientists will continue to grow as technology improves and businesses look for every opportunity to increase efficiency.2
1 AIU cannot guarantee employment, salary, or career advancement. The list of career paths related to this program is based on a subset from the Bureau of Labor Statistics CIP to SOC Crosswalk. Some career paths listed above may require further education or job experience.
2 Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Data Scientists,
at https://www.bls.gov/ooh/math/data-scientists.htm (visited May 10, 2023). This data represents national figures and is not based on school-specific information. Conditions in your area may vary.
In this Master’s in Information Technology (MSIT) with a Concentration in Data Analytics program, students have the opportunity to study program core and data analytics courses, including but not limited to, Advanced Technical Communication, Global Technology Management, Advanced Data Analytics, and Executive Strategies and Actionable Analytics. This data analytics degree program will teach students how to compare analytical methods and models, evaluate and use processes of statistical interference, analyze legal and ethical issues related to data analytics, create data visualizations that communicate actionable analytics, and more.
The MSIT degree program is offered online or in person at AIU’s Houston campus. It starts every five weeks. Completion of the AIU admissions process will depend on how quickly you complete the steps in the AIU application process. You may speak to an Admissions Advisor over the phone (1-855-377-1888) or request information online. Once you’ve completed the online request, you may hear from an advisor within 24 hours to discuss the next steps toward starting your degree program.
The Master of Science in Information Technology (MSIT) with a Concentration in Data Analytics degree requires a total of 45 credit hours. You may be eligible for transfer credit with provided official transcripts. AIU accepts up to 18 quarter hours of the qualifying credits you need toward your degree*.
*Transfer credit is evaluated on an individual basis. Not all credits are eligible to transfer. See the University Catalog for transfer credit policies.
The Master of Science in Information Technology with a Concentration in Data Analytics degree program emphasizes problem-based, hands-on learning to help you prepare for the demands of working in the data analytics field. Students have the opportunity to apply advanced technical communications throughout the program, which focuses on technical topics as well as legal and ethical issues. Furthermore, students in our 100% online data analytics degree program are able to use industry software tools and access 24/7 tutoring and proactive faculty support, with no additional book fees.
Compare Related Areas Of Study
Compare up to three additional degrees
Take the next steps towards your education
Classes start July 30, 2025
