Data Science & Analytics
Program Overview

​The University of Missouri’s Master of Science in Data and Analytics ​degree is a 34-credit, online and mixed mode delivery, multidisciplinary program. We welcome students with different 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
  • ONE WEEK FACE-TO-FACE EACH 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

Get a data science degree to advance your career.

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 degree will give you specialized tools to solve problems using data, not math. Our online program gives you the unique opportunity to study from home without forfeiting the classroom connection. This program is centered around your goals and we will give you the knowledge 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 already know your business’ data. Using the University of Missouri’s Data Science and Analytics MS degree will give your team the power to pull the value out of your company’s data using the most advanced tools available to Data Scientists . Graduates will have an understanding of ethics, security, modern data analytics, statistical analytics, database platforms, and more. Additionally, students will receive advanced training in a chosen Concentration Area aimed at their career. Your employees will not only be able to understand your business’s data, but they will be able to effectively communicate the information to a broad audience.

Concentration Areas

Data science is unique and requires a tailor-made approach to fit each field. Mizzou’s Data Science and Analytics MS degree offers concentration areas best fitting your career or company.

Data Journalism

Journalism is always progressing. The University of Missouri’s Data Science and Analytics MS degree will provide students with cutting-edge knowledge of data strategies and analytics. Graduates will master how to effectively use data to understand audiences and how to communicate with them.

Human Centered Design for Data

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

Biotechnology

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

High Performance Computing

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

Strategic Communication

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

GEOSPATIAL

Geospatial data science meets a number important emerging technology and economic development challenges. In today’s world, data is becoming increasingly location-based. This location-based data will continue to power the next generation of location-aware services, applications, and insight. The University of Missouri’s Data Science and Analytics MS degree will provide students with cutting-edge knowledge of geospatial data strategies, including geospatial Big Data, GIS, geostatistical analysis, and remote sensing. Graduates will become among the world’s leading geospatial and location-driven focused data scientists.

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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