Master's in Informatics and Analytics

FULLY ONLINE PROGRAM AVAILABLE

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UNC Greensboro’s Master’s in Informatics and Analytics (MSIA) combines interdisciplinary instruction, flexible online and in-person formats, and a hands-on capstone experience to prepare graduates for leadership roles in today’s rapidly evolving data-driven economy. In this program, you can acquire the knowledge and skills to become a leader and problem-solver. The data industry is growing at a rapid pace with many opportunities in this innovative and lucrative occupation.

Master’s in informatics and analytics PROGRAM DISTINCTIONS

The Master’s in Informatics and Analytics program has been ranked among the Top 25 Best Online Master’s in Data Analytics Degree Programs by TechGuide (2024).

The MSIA program brings together faculty expertise from computer science, mathematics and statistics, information science, and related fields, creating an interdisciplinary learning experience. This approach helps students develop both technical analytics skills and the ability to apply data-driven solutions across industries.

Students can earn the MSIA fully online, on campus, or through a hybrid combination of both formats. As a result, working professionals can choose the learning environment that best fits their schedules while benefiting from the same curriculum and faculty expertise. Furthermore, the program welcomes students from a wide range of academic and professional backgrounds, making it an attractive option for both career changers and professionals looking to expand their analytics skills.

THE MSIA STUDENT EXPERIENCE

The Master’s in Informatics and Analytics is a 36-credit degree that includes six core courses and a capstone in the student’s chosen specialization. Through specialized tools, programming languages, and hands-on projects, students build the skills needed for career success after graduation.

A hallmark of the MSIA program is its capstone experience, which connects classroom learning with real-world problem solving. Students apply analytics methods, machine learning, data visualization, and data management skills to practical challenges in their chosen specialization.

The curriculum includes coursework in machine learning, predictive analytics, data visualization, and statistical methods. Program materials highlight applications related to health informatics, bioinformatics, and other emerging fields.

Earn Your Master’s in Informatics and Analytics Online

UNCG’s Master’s in Informatics and Analytics offers a flexible online format that makes it easier for participants to advance their education while balancing work and personal commitments. Students can complete the program 100% online or combine online and on-campus courses through a hybrid format, providing the learning experience that best fits the needs of the individual. All students will learn from the same expert faculty, complete the same rigorous curriculum, and graduate with the same degree.

Designed with working professionals and career changers in mind, the online program delivers an interdisciplinary education in data analytics, machine learning, data visualization, and informatics. Online students will collaborate with faculty from multiple disciplines, complete hands-on projects, and finish with a capstone experience that applies their skills to real-world data challenges.

FAQs about the Master’s in Informatics and analytics

Upon GRADUATIng with a Master’s in informatics and analytics

UNCG’s MSIA graduates turn complex data into actionable insights and drive data-informed decisions. Graduates pursue careers in data science, analytics, artificial intelligence, health informatics, bioinformatics, and related fields across numerous industries.

The job outlook for data and analytics professionals remains strong. According to the U.S. Bureau of Labor Statistics, employment of data scientists is expected to grow 34% by 2034, significantly faster than the average for all occupations. Furthermore, employment for mathematicians and statisticians is projected to increase by 8%, highlighting continued demand for professionals with advanced analytical and quantitative skills.

Graduates are prepared for positions as a:

• Data Analyst
• Data Scientist
• Big Data Engineer
• Data Architect
• Statistical Consultant
• Statistician
• Research Software Developer
• Bioinformatics Specialist
• Health Informatics Professional
• Artificial Intelligence and Machine Learning Specialist