Data Science & Analytics
Program Overview

​The University of Missouri’s Master of Science in Data and Analytics ​degree is a 34-credit, online delivery multidisciplinary program. We welcome students from a variety of academic backgrounds to become productive data scientists in Missouri and regionally connected industries. Our program reflects the evolving fields of data science by providing unique curriculum emphases in several different disciplines.

 

  • 2-YEAR EXECUTIVE-STYLE PROGRAM
  • HIGHLY INTERACTIVE ONLINE COURSES
  • 1 WEEK of FACE-TO-FACE Every YEAR
  • TEAM SUPPORT TOOLS
  • APPROXIMATELY $17,000/YEAR

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For Professionals who want to become Data Science Leaders in their company and career

Advance your career with a data science degree

The University of Missouri’s Data Science and Analytics MS degree equips non-technical professionals from diverse fields to turn big data into smart data. Our faculty uses their real-world experience to teach the latest advances in data science, visualization and analytics. Using an intentional approach to data science, this program gives you the specialized tools to solve problems using data, not just math. Our online format gives students the unique opportunity to study from home without forfeiting the classroom connection. This program is centered around your goals and the knowledge you need to achieve them.

Designed to help companies in any industry solve their complex data problems

Develop the people who already understand your data

Your employees know your business’s data best. The University of Missouri’s Data Science and Analytics MS degree will arm your team with the power to extract the full value of your company’s data using the most advanced tools available in Data Science. Graduates will have knowledge and understanding of security, ethics, modern data analytics, statistical analytics, database platforms in Data Science and advanced training in the concentration area most relevant to their profession. That means not just better understanding your business’s data, but effectively communicating the information to a broader audience.





Concentration Areas

Data Science is unique and requires a tailor-made approach to fit each field. Mizzou’s Data Science & Analytics MS multi-disciplinary program focuses on the concentration areas best fitting your company and career.

Data Journalism

Journalism is a dynamic and competitive field. The University of Missouri’s Data Science and Analytics MS degree offers cutting-edge knowledge of data strategies and analytics. Students will master how to effectively use data to understand audiences and how to communicate with them.

GEOSPATIAL

Geospatial data science meets a number of important emerging technology and economic development challenges. Increasingly location-based data will continue to power the next generation of location-aware services, applications & insight. MU’s Data Science & Analytics graduates will become among the world’s leading geospatial and location-driven focused data scientists with cutting-edge knowledge of geospatial data strategies including geospatial Big Data, GIS, geostatistical analysis & remote sensing.

Biotechnology

The University of Missouri’s Data Science and Analytics MS Biotechnology Emphasis takes a tailor-made approach to data in the biotech and healthcare industry. Graduates will be able to present and interpret their data results and communicate findings with a broad audience.

Human Centered Design for Data

The Human Centered Design for Data emphasis develops students’ understanding of theoretical foundations and the necessary hands-on experience to understand the strengths and limitations of different methods. Students learn the significance of each component in the information lifecycle and its impact on technical and social data analytics.

Strategic Communication

Graduates with emphasis in Strategic Communication will have the unique ability to assemble consumer data and design strategies for optimal communication with a tech-savvy audience. Students develop in-depth knowledge of core program objectives and learn to fulfill diverse data responsibilities.

High Performance Computing

With a focus on the data intelligence that businesses need, the University of Missouri’s Data Science & Analytics MS degree with an emphasis in High-Performance Computing (HPC) will immerse students in Big Data computational ecosystems.





PROGRAM LEADERS

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Sean P. Goggins

Ph.D. – Director, Data Science and Analytics MS Program

Sean Goggins is an Associate Professor at Missouri’s iSchool and the University of Missouri Informatics Institute. He teaches, publishes and conducts research on the uptake and use of information and communication technologies.

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Grant Scott

Ph.D. – Director, Data Science and Analytics MS Program

Dr. Grant Scott is an assistant research professor in the Center for Geospatial Intelligence (CGI) and the Electrical and Computer Engineering Department at the University of Missouri.

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Chi-Ren Shyu

Director, MU Informatics Institute

Chi-Ren Shyu is the chairman of the Electrical and Computer Engineering Department and director of the University of Missouri Informatics Institute.

CONCENTRATION AREA LEADERS

Trupti Joshi

Computer Science

Ilker Ersoy

Biotechnology, Course Coordinator

Curt Davis

Geospatial

Esther L. Thorson

Strategic Communications, Course Coordinator

Dong Xu

Computer Science

Harsh Tenaja

Journalism

Twyla G. Gibson

School of Information Science and Learning Technologies

Timothy Matisziw

Geospatial

Jeffrey Uhlmann

Computer Science

Yi Shang

Computer Science, Course Coordinator

David Herzog

Journalism, Course Coordinator

Sanda Erdelez

School of Information Science and Learning Technologies

Joi Moore

School of Information Science and Learning Technologies, Course Coordinator





CORE COURSES

INFOINST 7600

Introduction to Data Analytics

INFOINST 8610

Statistical and Mathematical Foundation for Data Analytics

INFOINST 8620

Database & Analytics

INFOINST 8630

Data Mining & Information Retrieval

INFOINST 8640

Big Data Security

INFOINST 8650

Data Visualization

INFOINST 8660

Data and Information Ethics

INFOINST 8680

Big Data Analytics Case Study

ADVANCED COURSES

INFOINST 8690

Big Data Capstone
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Real-World Experience

Gain real-world experience in applying state-of-the-art data science tools and techniques to solve industry, academic, and/or business data and decision-making challenges.

Valuable Training

Training in the latest data analytic methods and tools; including fundamental and advanced statistical and mathematical principles upon which advanced data analysis techniques are built (machine learning, pattern recognition, data mining, etc.).

Data Analysis

Gain a comprehensive understanding of modern data analytics, statistical analysis, and visualization tools facilitating timely, large data analysis.

Solid Foundation

Gain a solid foundational understanding of database systems, database design, and information retrieval; allowing exploitation of a broad spectrum of data repositories and streaming data systems.

Effective Communication

Students will be able to effectively communicate to a broad audience the relevant information derived from large data collections using a variety of visualization and presentation methods.

Clear Understanding

Gain a clear understanding of the ethics and security mechanisms required to safeguard large-scale data collections containing sensitive and critical information.





INDUSTRY ADVISORY BOARD

A board comprised of industry and business experts in companies vital to Data Science and Analytics has been formed to help assure the program is relevant and responsive to the marketplace, and help ensure the student’s learning experience is relevant to “real-world” technologies, problems and challenges.

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