MS - IT Analytics MS in Information Technology

Master of Science in Information Technology

Build your analytics knowledge

Build your foundation in IT with a master's in information technology, analytics degree while gaining knowledge of topics that include data-driven decision making, statistical methods, and cultural and ethical aspects of data analysis. Engage in problem solving with hands-on coursework, designed to best practices that will help you grow as an individual contributor. You will gain a deep knowledge of developing technology solutions as they apply in a globally expanding field.

At a Glance

  • Online
  • 7 Core courses
  • 5 Specialization courses
  • Applied IT project

Classes Start August 10th

Ready to get started? We’re ready for you. Chat with an enrollment counselor or apply now to take the first step on the journey toward your future.

We’ve decided to waive all application fees until further notice.

What you’ll learn

Deepen your analytics knowledge

Discover analytical and statistical techniques you can use to support decision making and problem solving.

Focus on data-driven solutions

Get ready to use data and data sources to make the right decisions where they count the most.

Find the right tools

Build your knowledge of which analytical tools and statistical methods are appropriate for resolving issues.

Master solution implementation

Understand how to apply analytical tools, statistical methods, and techniques for decision making.

Discover the impact of analytics

Gain insight into the ethical, legal, global, and cultural factors in the analytics process.

Build your communication skills

Find your voice and the appropriate methods for communicating analytical methods and results with multiple audiences.

Program features

Our program offers additional benefits you might be interested in.

SAS®-aligned courses

Your coursework has been developed in collaboration with SAS®, the leader in analytics.

Applied IT project

Work on solving a real-world problem faced by an actual organization to demonstrate what you’ve learned in your program.

Stay Ahead in IT: Upskill with Skillsoft

Students will have unlimited access to Skillsoft, a comprehensive eLearning resource to help develop IT and business knowledge and skills.

Cost & learning format

Online education isn’t one-size-fits-all. We know you’re busy—you need a learning experience tailored to your life, not the other way around. Capella has learning and tuition formats to suit you, however you learn. 

A more structured learning format with an active peer community and faculty guidance. We’ll set the schedule, you meet the deadlines. 

  • Based on the quarter system; 1-3 courses per 10-week quarter
  • 1 semester credit = 1.5 quarter credits
  • Weekly assignments and courseroom discussions
  • Pay for what you take, price varies by courseload or term
$695 per credit, 48 total quarter credits, 12 max transfer credits

*This is only an estimate, using general program pricing, and it does not include fees (including application and resource kit fees).  Your price may be higher or lower depending on your specialization, transfer credits, and tuition discounts. If transfer credits are allowed in this offering, the prices above show what you would pay if you brought in the average number of transfer credits and the price if you brought in the maximum allowed transfer credits.  

Get the details

Speak with an enrollment counselor to get a personalized cost estimate for what you can expect to pay.

Ways to save

At Capella, we believe your education is an investment in your future. It’s also an investment within your grasp. Your goals are achievable—there are more ways to save than you might think. 

$5K toward your master's

Apply for a $5K Capella Progress Reward, a scholarship to help fund your master’s degree.

10% military discount

If you're an active-duty military service member, spouse, or veteran, discounts may be available.

Prior learning assessment

Earn credits by demonstrating your knowledge and/or industry certifications through our prior learning assessment process.

Accredited & recognized

Capella University is accredited by the Higher Learning Commission.

Accreditation and recognitions provide the assurance we meet standards for quality of faculty, curriculum, learner services, and fiscal stability. See all of our accreditations and recognitions

Sample courses

This online MS in Information Technology Analytics can help you build data analytics skills and grow your understanding of the strategies that experts need in the discipline. Focus on data-driven decision making, statistical methods, and more.

Show course with description
ANLT5010 *
Foundations in Analytics

Learners in this course apply data management fundamentals to data models. Learners examine the concepts of data mining, ETLs, and data warehouses and also evaluate applied analytics in professional domains such as finance, marketing, and health care.  Prerequisite(s): Completion of or concurrent registration in ANLT5002 or HMSV5002 or PM5331​.

4 quarter credits
ANLT5020 *
Data Sources for Analytics

In this course, learners explain database methodologies including relational databases, flat files, dimensional modeling, RSS feeds, and multi-dimensional modeling. Learners examine the impact of data quality on analytics and apply ETL techniques and processes. Finally, learners evaluate the application of data warehouses, data marts, and multi-dimensional cubes to decision-making and action. Prerequisite(s): Completion of or concurrent registration in ANLT5010.

4 quarter credits
ANLT5030 *
Statistical Methods in Analytics

In this course, learners study the collection, organization, presentation, analysis, and interpretation of data using statistical methods. Learners practice using appropriate tools to obtain a result using statistical methods and collaborate with team members to compare processes, techniques, and conclusions to understand various perspectives. Prerequisite(s): Completion of or concurrent registration in ANLT5020.

4 quarter credits
ITEC5040 *
Predictive Models and Classification Methods

This course focuses on predicting future outcomes based on historical data, as well as identifying patterns in current data that can be used to classify or group future observations. Learners complete their own analytics project through hands-on statistical techniques coupled with a broad understanding of contemporary predictive modeling and analytics classification methods. Prerequisite(s): ANLT5030.

4 quarter credits
ANLT5100 *
Visual Analytics

In this course, learners articulate the value of visualization to telling the analytic story to stakeholders. Learners explore the appropriate presentation of types of data and apply best practices for the design of effective visualizations. Learners also develop skills for presenting data to stakeholders in a succinct and relevant manner. Prerequisite(s): ANLT5030. 

4 quarter credits

Faculty & support

You’re never going it alone at Capella. Our dedicated faculty and support teams are waiting to guide, help, and advise you through every step of your educational journey.

Enrollment counselors

These experts will set you up for success. They’ll help you find the right degree and program, and answer all your questions about Capella.

Financial aid counselors

Our team knows how to run the numbers and help find ways to save on costs.


Advisors know the details of your program. Got questions about courses? Instructors? Resources? Advisors have answers.

Career center

For this team, it’s more than resumes and interview tips. It’s about thoughtful and strategic career planning—beyond graduation.

Relevant blog posts

6 Books Every Data Professional Needs

Capella University faculty members offer six books every data professional should read.

4 Examples of Data Analytics In Action

A look at four examples of big data and analytics in action in industries outside of the corporate world.

A Deep Dive Into Data Analytics

A breakdown of common questions related to analytics, career opportunities, and “soft” skills you need to be successful in the field.

Move forward in your career

Here are just some of the career options you could explore with our master’s in information technology, analytics degree.

Related job titles to explore*

  • Software engineer
  • Data analyst
  • Business analyst
  • Systems engineer
  • Director of technology
  • Technology manager
  • Solutions architect
  • Data architect
  • Systems analyst

Employment settings to explore

  • Land-based or online college or university
  • Government - local, state, federal
  • Insurance carrier
  • Hospital
  • Manufacturing
  • Financial service
  • Consulting service
  • Telecommunications carrier
  • Bank
  • Retail

*These are examples intended to serve as a general guide. Some positions may prefer or even require previous experience, licensure, certifications, and/or other designations along with a degree. Because many factors determine what position an individual may attain, Capella cannot guarantee that a graduate will secure any specific job title, a promotion, salary increase, or other career outcome. We encourage you to research requirements for your job target and career goals.

Other programs to explore

Is this program close to what you need, but maybe not a perfect fit? The programs below might be interesting. Check them out to find one that suits your academic and professional goals.

Ready for the next step?

Learning online doesn't mean going it alone. Help is here. From faculty, coaches, advisors, and more. Plus a supportive community of students who are as passionate about their careers as you are about yours.