Master of Science in Data Analytics

Program Overview

Master of Science in Data Analytics

Prepare to meet the demand.

Data in all forms continues to expand and become more readily available to both businesses and consumers. As this happens, the demand for those who can interpret and apply it to achieve a competitive advantage will also increase.

UIndy’s Master of Science in Data Analytics (MSDA) Program provides a comprehensive curriculum that prepares you to meet this demand. Learn to analyze both quantitative and qualitative data to improve organizational performance and efficiencies. Your new proficiency in analyzing data will allow you to become a subject matter expert in this emerging, fast-growing, and ever-changing field.

Advantages

• Whether you are starting your career or want to make a change, our program will help you develop in-demand business and analytical skills to advance your career.
• Fully online classes that are eight (8) weeks in duration.
• Flexible scheduling allows you to complete your degree either part-time or full-time.
• Courses built for learners with some or no technical background. No prior experience in SQL, R, Python, Power BI, or Tableau required.
• Earn three stackable professional certificates as you complete your degree.
• Industry micro-credentials, specifically professional certifications, from partners like Google, IBM, and Microsoft, built into each course. Also, earn an Associate Certified Analytics Professional (aCAP) certification upon graduation, without sitting for the aCAP exam.
• Begin the program either in the Fall, Spring, or Summer.

About the MS in Data Analytics Program

The world of data and technology is ever-changing, and to ensure that UIndy best prepares its students for the data-driven business world of today, it continually updates its Data Analytics curriculum. Students can expect to have new content added to course syllabi on a semester-to-semester basis, and even see new courses in the curriculum. Additionally, UIndy keeps its MSDA Program in tune with market demands around learning formats.

Certificates

Students not only earn the Master of Science in Data Analytics degree but also three (3) Certificate credentials along the way. These Certificates consist of three (3) courses each, and when combined with a Program Capstone course, make up the ten (10) courses required for the master's degree. Each course is three (3) credit hours, and the full degree thus is thirty (30) hours. While the Certificates do “stack” into the MSDA degree, students can opt to complete a single Certificate instead.

Business Intelligence Certificate

This Certificate provides core knowledge and skills in business intelligence, data visualization, and business applications. Students gain a comprehensive understanding of key data analytics theories while gaining new skills through the use of industry-standard tools. Upon completion of the Certificate, the student has the knowledge and skills to thrive in today's data-driven world.

Business Analytics Certificate

This Certificate provides advanced knowledge and skills in predictive modeling, data management, and text mining. Students will gain an advanced understanding of sophisticated statistical techniques while gaining hands-on experience with industry-standard tools. Upon completion of the Certificate, the student will be able to manage large-scale data analytics projects and interpret the outputs of those efforts.

Artificial Intelligence and Data Strategy Certificate

This Certificate provides advanced knowledge and skills in data strategy, advanced statistical topics in data analytics, and the business application of artificial intelligence. Students will gain a sophisticated understanding of data analytics theories and techniques that are revolutionizing the business world. Upon completion of the Certificate, the student will be qualified to lead Data Analytics and AI Programs at their respective companies and organizations.

Program Length & Format

The program length is 30 credit hours. Students pursuing an individual Certificate are only required to complete 9 credit hours. The format is 100% online.

Curriculum

UIndy’s MSDA courses focus on the strategic and advanced uses of data analytics across a broad range of industries and functions. Subject areas include data mining, visualization, modeling, and management; text and predictive analytics; business intelligence; data strategy; and artificial intelligence.

Artificial Intelligence Curriculum

UIndy’s MSDA program has a strong focus on the technology that is changing the way businesses plan, staff, and operate: Artificial Intelligence, also known as AI. In an applied setting, it is the use of computing systems that are able to perform tasks that normally require human intelligence. These include visual perception, speech recognition, content assimilation, and decision-making.

When Can I Start?

Classes run on a regular semester schedule. The full Business Intelligence Certificate (3 courses) is offered in the Fall (August) term. The full Business Analytics Certificate is offered in the Spring (January) term. The full Artificial Intelligence & Data Strategy Certificate is offered in the Summer (May) term. The capstone Applied Analytics course is taken by degree-seeking students across the duration of the program. Note that Certificates can be completed in any order. This means that new students can enroll and start classes in any term after being accepted into the program.

Admission Requirements

View the admissions requirements and application process.

Tuition & Aid

• View Graduate Tuition Rates
• Financial Aid for Graduate Students

Why Choose UIndy’s MS in Data Analytics?

UIndy is known for leading-edge programs and supportive, experiential faculty who have strong relationships with businesses in Indiana and surrounding areas. The MSDA program emphasizes applied learning from the start, so students are well-prepared at graduation to take professional positions in the marketplace.

• High-quality education delivered by experienced faculty
• An in-demand program that leads to immediate professional success
• Excellent long-term career prospects
• Small classes and personalized attention
• Extensive network of hiring companies, business alumni, and student colleagues