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 online master's in data analytics degree program. Additionally, courses in this master’s
program in data analytics focus on both technical topics and legal and ethical issues.
Next start date
Program Credits
45
Each Course Length
5 Weeks
Location
Online,
Atlanta,
Houston,
Classes start on Sep 03, 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.
MSIT in Data Analytics Program Details
Today, data is all around us, helping organizations and individuals improve their decision-making, increase efficiency, gain insight into emerging trends, and more. If you are interested in exploring a leadership role in fields such as data analytics, data management, data analysis, business data analysis, data research, or data operations, you should consider pursuing an online master's degree in data analytics. In just one year, our online master's degree in data analytics 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 online master’s in data analytics, you will be able to study the various skills needed such as how 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.
Online MSIT in Data Analytics 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
An online Master of Science in Information Technology (MSIT) with a Concentration in Data Analytics is a graduate-level program designed to deepen professionals ability to gather, analyze, and interpret large data sets, all through a fully online format. Coursework typically covers advanced topics such as data mining, predictive modeling, statistical inference, machine learning, and data visualization, alongside business-oriented subjects like strategic decision-making and data-driven leadership. Pursuing an online MSIT in Data Analytics offers the opportunity to strengthen technical expertise and transform raw information into actionable insights, with the flexibility to study from anywhere. In addition to the online option, AIU also offers this data analytics masters degree program on campus at its Houston and Atlanta locations.
Yes, you can earn a Master of Science in Information Technology (MSIT) with a Concentration in Data Analytics entirely online. AIU is a member of the American InterContinental University System. The System is accredited by the Higher Learning Commission (hlcommission.org), an institutional accreditor recognized by the U.S. Department of Education. Our online data analytics masters program is designed to offer flexibility, enabling students to balance advanced coursework with personal and professional commitments. In addition to the fully online option, AIU also offers this graduate degree program on campus at its Houston and Atlanta locations.
Some potential career paths for an MSIT may be*:
Computer Programmer - Writes, tests, and refactors code that powers data analytics platformsautomating data pipelines, integrating algorithms, and ensuring analytics applications run efficiently and accurately
Computer Systems Analyst - Examines an organizations current information systems and workflows, then designs upgradessuch as data warehouses, analytics dashboards, and integration APIs to ensure the tech stack efficiently supports data-driven decision-making.
Information Security Analyst - Safeguards data analytics environments by monitoring logs, detecting threats, and implementing encryption, access controls, and other countermeasures that keep sensitive datasets and predictive models secure.
Computer and Information Systems Manager - Directs an organization's IT operations, overseeing staff, budgets, and data analytics platforms to ensure technology resources, security measures, and reporting tools effectively support strategic business goals.
Software Developers, Quality Assurance Analysts, and Testers - Designs, codes, and refines analytic applications building data-processing pipelines, visualization dashboards, and machine-learning services that transform raw datasets into actionable insights.
Explore related computer and information technology-related job positions and descriptions from the Bureau of Labor Statistics.
*AIU cannot guarantee employment or salary. 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.
To start on your path to pursuing an MSIT in Information Technology with a Concentration in Data Analystics at AIU, follow these steps:
1. Explore AIUs accredited program to see how advanced coursescovering topics such as cloud architecture, cybersecurity, data administration, and IT project leadershipconnect to your professional goals.
2. Review the admission requirements, which typically include a high school diploma or equivalentAIU does not require SAT or ACT scores for enrollment.
3. Evaluate tuition and financial aid options, including scholarships, grants, or payment plans that may help make your education more accessible.*
4. Submit your application before the next term begins. Once accepted, familiarize yourself with AIUs online learning platform to prepare for your courses and begin working toward your masters in data analytics.
*University grants or scholarships are based on established criteria as published in the University Catalog or on its website and are awarded after verification that the conditions of eligibility have been met.
AIUs online Master of Science in Information Technology with a Concentration in Data Analytics is structured as a 12-month program, but your actual completion time can be shorter or longer based on factors such as transferred credits, the number of courses you take each term, and any breaks you choose to schedule.
Compare Related Areas Of Study
Compare up to three additional degrees
Take the next steps towards your education
Classes start September 3, 2025
