Market Analysis: Data Science and Data Analytics

Prepared for Graceland University

September 2018

In the following report, Hanover assesses demand for bachelor’s and master’s degree programs in data science, specifically highlighting demand trends for programs in the region including Iowa and Missouri. The report includes an examination of student and labor market demand, and an analysis of potential competitor programs. www.hanoverresearch.com Table of Contents Market Analysis: Data Science and Data Analytics

Executive Summary Page 3 Degree Completions Analysis Page 5 Labor Market Analysis Page 6 Real-Time Job Postings Analysis Page 7 Competitor Analysis Page 8 Program Analysis Page 9 Research Centers & Funding Page 11 Program Benchmarking Page 13

2 Executive Summary Market Analysis: Data Science and Data Analytics Recommendations Regional Benchmark Analysis – Bachelor’s Based on an analysis of degree completions, and market competitors: Comparison of bachelor’s degree completions related to data science and relevant labor market to all completions and all occupations in the Plains Region Graceland University should continue exploring offering a data science

program. Student demand for data science programs has been increasing 2024 rapidly at both the bachelor’s and master’s levels, and relevant occupations - Emerging Program High Growth Program are expected to grow faster than average. 2014 8.4%, 17.3%

Before launching new data science programs, Graceland should develop a Rate, strategy to differentiate its offerings from an increasingly crowded 6.3% market. To stand out, Graceland could consider emphasizing unique features Regional Average,

and specialization tracks when advertising or recruiting. Growth All Occupations Low Growth Program Established Program

Key Findings and Program Demand Forecast Market For bachelor’s and master’s in data science programs in the Plains Region -1.6%

Labor Regional Average, All Programs Student demand for bachelor’s and master’s programs in data science-related fields has been growing regionally and nationally. At both award levels, annualized Annualized Degree Completions Growth Rate, 2012-2016 growth rates for data science-related programs are faster than the rates for all academic programs at the same degree levels. Regional Benchmark Analysis – Master’s The market for data science programs is increasingly competitive. At the bachelor’s Comparison of master’s degree completions related to data science and relevant level, several programs closed between 2012 and 2016, which could mean that all labor market to all completions and all occupations in the Plains Region

student demand is being met. Meanwhile, approximately 80 new master’s programs 2024 opened in 2017 and 2018, and several more have been announced for 2019. - Emerging Program High Growth Program

Graduates of data science programs are likely to find employment, especially at 2014 16.0%, 17.3% consulting and financial firms, and healthcare or insurance companies. Relevant occupations are projected to grow faster than average in the region and the United Rate, 6.3% States. During three months in 2018, over 5,700 relevant jobs were listed in the Regional Average,

region, requiring skills such as statistical programming and database management. Growth All Occupations Low Growth Program Established Program Some regional institutions host or participate in data science-related research centers, many of which are publicly funded. Some of these centers are funded by Market -0.1% state grants, others by federal government departments and agencies. Several

Labor Regional Average, institutions are affiliated with the Midwest Big Data Hub, which receives funding All Programs from the National Science Foundation. Annualized Degree Completions Growth Rate, 2012-2016 Overview of Related Fields Market Analysis: Data Science and Data Analytics

Despite some formal differences between the meaning of “data analytics” and “data science” the terms are often used interchangeably when referring to academic programs – according to the Institute for Advanced Analytics at North Carolina State University, data science is a “close kin” to analytics, and both program types use similar curriculum. In this report, Hanover uses the term “data science” when referring to relevant programs.

Data analytics, data science, and information science programs all rely on students having a foundation in computer science. Data analytics focuses on analyzing data once it has already been collected in order to answer business or policy questions. Data analytics programs are most likely to include concentration related to specific industries. Data science focuses on creating data-driven solutions by developing models for data management; these programs may include a greater focus on programming or software engineering than analytics programs. Meanwhile, information science focuses on the application of technology and other analytical tools to improve the usability of data in a variety of professional fields.

Data Analytics Data Science Information Science The application of information Uses statistics, mathematics, Creates sophisticated analytical systems and technologies to computer programming, machine models to build new data sets and understand data and improve its learning, and visualization tools to derive new insights from data analyze large quantities of data usability

Statistics and Data Driven Information Data Visualization Mathematics Decision-Making Data Engineering Management Presenting data and trends Developing questions for Developing, maintaining, Developing statistical The process of collecting, in a manner that is easy to research and designing and evaluating models to infer trends storing, managing and understand data models to answer database solutions within from data maintaining information these questions organizations

Computer Science and Programming Developing and using software to collect, organize, store, model, analyze, display, and interface with data

Source: DataFloq, Technopedia, University of Delaware, SimpliLearn 4 Degree Completions Analysis Market Analysis: Data Science and Data Analytics

Regional Bachelor’s Completions Volume Analysis of Findings Distribution of bachelor’s degree completions in the region from 2012 to 2016 Student demand for bachelor’s degrees related to data science grew consistently at 2,500 the state, regional, and national levels. 2,000 In Iowa, related bachelor’s degree completions grew at a rate of 12.8 percent, whereas 1,500 completions in all fields decreased by -8.3 percent. Similarly, related completions grew at a rate of 8.4 percent in the region and 9.9 percent nationally, while bachelor’s degree 1,000 completions in all fields decreased by -1.6 percent regionally and increased at a slow rate of 1.7 percent nationally. 500

0 Student demand for master’s degrees related to data science grew at the regional and 2012 2013 2014 2015 2016 national levels, but declined slightly in Iowa.

Data Modeling/Warehousing and Database Administration Information Science/Studies Related master’s degree completions grew at a rate of 16.0 percent in the region and Management Sciences and Quantitative Methods, Other 17.4 nationally, faster than the growth rates for all fields in each geographic level (-0.1 Statistics, General percent regionally and 1.0 percent nationally). In Iowa, related master’s degree Computer and Information Sciences, General completions decreased by -1.1 percent, but still performed better then all fields of study in the state, which shrank by -8.9 percent. Regional Master’s Completions Volume Distribution of master’s degree completions in the region from 2012 to 2016 Total Degree Completions Aggregate degree completions by geographic level (2016) 1,000 Level Iowa Plains National 800 Computer and Information Bachelor’s 191 1,249 17,015 600 Sciences Master’s 22 383 9,823 Bachelor’s 51 267 2,313 Statistics 400 Master’s 35 136 3,027 Management Sciences and Bachelor’s 97 97 586 200 Quantitative Methods, Master’s 7 47 1,171 Bachelor’s 6 388 6,982 0 Information Science/Studies 2012 2013 2014 2015 2016 Master’s 0 260 6,338 Data Modeling/Warehousing Bachelor’s 0 0 172 Data Modeling/Warehousing and Database Administration and Database Administration Master’s 0 8 361 Information Science/Studies Total – Bachelor’s 345 2,001 27,068 Management Sciences and Quantitative Methods, Other 5-Year Growth Rate – Bachelor’s 12.8% 8.4% 9.9% Statistics, General Total – Master’s 64 834 20,720 Source: IPEDS Computer and Information Sciences, General 5-Year Growth Rate – Master’s -1.1% 16.0% 17.4% Note: The Plains Region includes Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota. 5 Labor Market Demand Market Analysis: Data Science and Data Analytics

Regional Current and Projected Job Availability Analysis of Findings Regional data science-related positions as of 2014 and 2024 (projected) Graduates of a data science program at Graceland are likely to find employment, 30,000 because related jobs are projected to grow faster than average.

25,000 Data science-related occupations are projected to grow at a rate of 21.1 percent in Iowa, much faster than the growth rate for all occupations in the state (8.6 percent). Similarly, the selected occupations are projected to grow at a rate of 20,000 17.3 percent in the region and 15.6 percent nationally, both faster than the growth rate for the region 6.3 percent) and the country (7.4 percent). 15,000 In data science-related occupations, most workers hold at least a bachelor’s 10,000 degree, and graduates degrees are increasingly common.

5,000 Between 70 and 80 percent of data science workers hold at least a bachelor’s, and 25 to 40 percent hold a master’s degree. As data science becomes more 0 established and professionalized, the technical nature of the field will likely lead Computer and Database Operations Statisticians Survey to demand for workers with advanced degrees (Business Over Broadway). Information Administrators Research Researchers Systems Analysts Managers Educational Attainment in Data Science 2014 2024 Computer and Information Systems Managers

Total Labor Market Database Administrators Aggregate data science-related job availability by geographic level

Survery Researchers Iowa Plains National Baseline Year Employment 4,510 40,650 652,900 Operations Research Analysts 10-Year Projected Employment 5,460 47,680 755,000 Growth Rate 21.1% 17.3% 15.6% Statisticians Total Annual Openings 170 1,340 58,300 Source: Projections Central 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% State and regional occupational employment projections correspond to 2014 to 2024 projections. National projections correspond to 2016 to 2026 projections. Less than Associate's Associate's Bachelor's Master's Doctoral/ Professional 6 Regional Occupations Scan: Real-Time Intelligence Market Analysis: Data Science and Data Analytics Total Job Postings by State Analysis of Findings Total data science-related ads listed in the last 180 days as of September 2018 Regional job openings for occupations related to data science are primarily Plains Region 5,701 found among consulting and financial firms and healthcare and insurance ND 109 companies.

SD 191 In the Plains Region, the highest volume of data science-related openings are IA 301 posted in Missouri and Minnesota. Many related job postings require KS 372 programming experience with data-specific query languages and other database management software tools, as well as soft skills including communication and NE 800 ability to work with others. MN 1,791 MO 2,137 Job Postings Snapshot Sample of data science-related job postings in the last 30 days

Top Employers and Skills Position Employer Location Skills and Requirements • AI, Machine Learning, Go, R, General Electric 105 Senior Data Analyst / Des Moines, Azure, SQL, Tableau, Natural Accenture 143 Data Scientist Kum & Go IA Language Processing, Python, UnitedHealth Group 161 AWS Wells Fargo 188 • Statistical Software, Microsoft Robert Half Technology 201 SQL Server, Machine Learning, Data Scientist Des Moines, Microsoft PowerPoint, R, SAS, Nmatrixx General skills IA Oracle, SQL, Sybase, Java, SPSS, Data Science, Python, • Communication (6,671) DB2 • Computer Networking (4,202) • Bachelor’s degree • Cooperative/Team Player (3,074) • Data Mining, PowerShell, Analyst TD Hadoop, Visual Basic, R, Lean, Omaha, NE II, Data Management Ameritrade SQL, .Net, C#, Data Warehouse, Git, Informatica, Technical Skills NoSQL, PostgreSQL, Python • D3.js, Quantitative Analysis, • SQL • Oracle Visual Basic, R, Oracle, C/C++, Data Scientist - Secret • Java • JavaScript Deloitte St. Louis, MO Excel, SQL, Tableau, ArcGIS, Clearance Required • Linux • Scrum Troubleshooting, QlikView, Python, GIS Source: JobsEQ Source: Indeed.com 7 Competitor Analysis Market Analysis: Data Science and Data Analytics Competitor Analysis Regional Market Saturation, 2012-2016 – Bachelor’s Based on an analysis of data science programs in the region, Hanover concludes the following: Within the region, do competitive conditions support an additional data science program?

Market conditions may not be able to support additional data science 15.0% bachelor’s programs in the region. Competitive conditions may Competitive conditions cause an oversupply of support a new degree In the region, data science-related bachelor’s degree completions grew faster existing programs program than average (8.4 percent) while the number of related bachelor’s programs 8.4%, -1.3% decreased slightly (-1.3 percent). This decrease was caused by six related 0.0% bachelor’s programs in the region closing or reclassifying themselves. Competitive conditions are Student demand exists, but unsuitable to support a new may be satisfied by existing Market conditions appear to support an additional master’s program, but the program programs market is increasingly crowded due to the rapid increase in new programs.

-15.0% Programs Offered Growth Rate OfferedGrowthPrograms In the region, data science-related master’s degree completions grew much -15.0% 0.0% 15.0% faster than average (16.0 percent) while the number of related master’s Degree Completions Growth Rate programs also increased at a strong rate (9.0 percent) between 2012-2016. These trends generally indicate an opening for a new program, however, nearly 100 new programs have opened in the United States since 2016 (see below). Regional Market Saturation, 2012-2016 – Master’s Within the region, do competitive conditions support an additional data science program?

15.0% Competitive conditions may Competitive conditions Number of benchmarked programs offering a bachelor’s degree cause an oversupply of support a new degree existing programs program in data science or data analytics 16.0%, 7.5% 0.0% Competitive conditions are Student demand exists, but unsuitable to support a new may be satisfied by existing program programs

-15.0% Programs Offered Growth Rate OfferedGrowthPrograms -25.0% -10.0% 5.0% 20.0% Degree Completions Growth Rate Source: IPEDS Source: Institute for Advanced Analytics

8 Program Analysis: Structure Market Analysis: Data Science and Data Analytics Delivery Format Combined Degree Options

Roughly half of benchmarked bachelor’s and master’s programs are offered online, as None of the benchmarked programs offer accelerated degree options (3+2 well as on-campus, in both formats, or a blended format. or 4+1 formats); however, some institutions offer both award levels.

Online 5 Capella University and the University of Nebraska offer undergraduate 4 students an opportunity to specialize in data science or analytics as part of a broader bachelor’s degree program. Both institutions offer full master’s On-campus 1 degree programs in analytics. The University of North Dakota and Western 2 Governors University offer both bachelor’s and master’s degree programs in data science and data analytics. On-campus or online 2 2 None of these benchmarked programs explicitly link the bachelor’s and master’s degree options in these fields on the institutional websites. Blended 2 0

Master's Bachelor's Source: Institutional websites Program Trends B.S. in IT, Data M.S. in Capella University Analytics Minor Benchmarked programs share several structural features, including credit Analytics requirements and attendance status.

Half of the benchmarked bachelor’s programs are available for part-time study. All B.S. in master’s programs offer a part-time option, and typically target working professionals. University of Mathematics, M.S. in Business Nebraska Data Science Analytics Concentration number of most common programs that Bachelor’s number of credits 120 4 advertise a part- University of B.S. in Data M.S. in Data required time option North Dakota Science Science

number of most common programs that Western B.S. in Data Master’s number of credits M.S. in Data 30 10 advertise a part- Governors Management required Analytics time option University /Data Analytics

9 Program Analysis: Curriculum Market Analysis: Data Science and Data Analytics Data Science Curriculum Trends Specialization Areas Since data science is a broad field, some programs (1 bachelor’s and 2 Data science and data analytics programs generally require similar courses master’s) offer specializations in various subfields, including: including courses on programming, statistics, and business topics.

Coursework in data mining/programming and statistical, predictive, and multivariate analytical methods are frequently offered courses at benchmarked Information Technology Healthcare Analytics / programs, providing students with the skills for analyzing data and predicting Computation / Information Systems Biotechnology (two programs) future trends. Courses in business management, business analytics/economics, (two programs) (two programs) and marketing principles prepare students to apply data solutions to business operations. In addition, courses in machine learning prepare students to design and operate data analytics software and manage databases.

Common Courses for Data Analytics/Science Degrees Human Centered Design System and Business for Data Programming Security 1. Data Mining (one program) (one program) (one program) 2. Data Visualization 3. Data Programming (in R, C++, SAS) 4. Business Analytics Among benchmarked programs, Hanover identified five standalone data 5.Applied Statistical Modeling science programs, two data analytics programs, and two business analytics 6. Business Performance Management programs among benchmarked institutions. 7. Marketing Strategies Despite significant overlap in coursework 8. Business Communications and typically competing for similar students, 9. Machine Learning these programs are designed to prepare 10. Artificial Intelligence students for slightly different career paths. Data Science Whereas data scientists work to extract value from large data sets and create data- Experiential Learning & Capstones driven solutions, data analysts typically use data and analytical software to predict Students can apply learned theories to practical situations by participating future trends (Northeastern University). in experiential learning and capstone assignments. Business Comparatively, there is little difference Data Analytics between data analysts and business Analytics number of programs that number of programs that analysts. While data analytics programs 2 encourage internships (1 8 require an applied research offer courses which are applicable to a bachelor’s; 1 master’s) capstone (3 bachelor’s; 5 variety of industries, a business analytics master’s) program may offer analytics courses in business topics such as accounting or marketing (Analytics Training). 10 Program Analysis: Research Centers Market Analysis: Data Science and Data Analytics The University of Missouri – Informatics Institute

The University of Missouri is the only benchmarked institution offering a benchmarked program that operates a dedicated data science research center.

University of Missouri’s Informatics Institute offers students enrolled in the Data Science and Analytics master’s program, as well as students from numerous fields of study, the opportunity to conduct interdisciplinary data science-related research. The Institute has four main areas of research:

Translational Biomedical Precision Agriculture and Big Data Analytics One Health Informatics Informatics Medicine

Source: MUII

The Informatics Institute is supported by 44 core faculty members from 17 departments and eight colleges/schools, such as the College of Engineering, School of Medicine, Sinclair School of Nursing, College of Arts and Sciences, College of Agriculture, Food & Natural Resources, School of Health Professionals, and the College of Education (MUII).

The Institute is home for a Data Science Lab, which researches and develops statistical and computational methods to analyze large and complex datasets, longitudinal data, survival data, and apply them to public health, medicine and social sciences (MUII). Other labs at the Institute focus on bioinformatics, data analytics, machine learning, and data mining (MUII).

•Agency for Healthcare Research and Quality Institute core faculty have received substantial grand funding from the National •National Science Foundation Science Foundation, the National Institutes of Health, the Agency for Healthcare Informatics •National Institutes of Health Research and Quality, the National Institute of Justice, U.S. Army and U.S. Navy, Institute Funding Sources •U.S. Department of Agriculture the U.S. Department of Agriculture, Missouri Soybean Merchandising Council •Office of Naval Research and Industries, and other sources. Recent grant awards range from a couple •Army Research Office hundred thousand dollars to millions of dollars (MUII).

Source: MUII

11 Program Analysis: Research Centers Market Analysis: Data Science and Data Analytics Midwest Big Data Hub

In the benchmarked region, the University of North Dakota and Iowa State University are members of the Midwest Big Data Hub, which is a consortium of Midwestern institutions conducting data science-related research funded entirely by the National Science Foundation.

National Big Data Research and Development Initiative Midwest Big Data Hub In 2012, the National Science Foundation (NSF) announced the In 2015, the NSF awarded $1.5 million to the five founding National Big Data Research and Development Initiative. Building institutions of the Midwest Big Data Hub (MBDH): University of off this, in 2015, NSF awarded grant funding to create several Big Illinois, University of North Dakota, University of Michigan, Data Regional Innovation Hubs, aiming to build a new framework Indiana University, and Iowa State University. States that makeup for multi-sector collaborations among academia, industry and the MBDH region are North Dakota, South Dakota, Minnesota, government. In total, four hubs constituting 50 states were Iowa, Nebraska, Kansas, Missouri, Wisconsin, Illinois, Indiana, created (NSF). Michigan, and Ohio (UND).

MBDH Research Foci Supporting MBDH Research Initiatives

The Midwest Big Data Hub focuses on four main areas of research. Some benchmarked institutions contribute programming and resources toward the goals of the MBDH. Society Smart Cities & Connected Communities Business Analytics University of North Dakota Network Sciences Public Policy •Computational Research Center – offers facilities and equipment Natural & Built Food-Energy-Water relating to data and analytical research projects •Center for Comparative Effectiveness Analytics – data-driven Environments Agriculture healthcare and health records initiatives Manufacturing Materials Science Iowa State University Healthcare and Community health and well-being Biomedical Research Food and nutrition •Midwest Big Data Summer School – summer program offering data science-related curriculum, seminars, and lectures. Biomedical and Neuroscience research

Cross-cutting Data science, education and workforce development University of Nebraska Priorities Data: methods, tools, cyberinfrastructure and services Data policy •Data Management and Analysis Core - funded through the Unmanned systems, robotics, and sensors Nebraska Center for Integrated Biomolecular Communication 12 Program Benchmarking – Bachelor’s Market Analysis: Data Science and Data Analytics

Bachelor’s Degrees in Data Analytics & Data Science Competitor Benchmarking

Institution Location Program Specializations Delivery Mode Credits Research Centers & Funding Sample Core Courses • Microeconomics • Financial Accounting • Managerial Accounting Bellevue • Introduction to Programming Bellevue, NE B.S. in Data Analytics None specified Online 127 credits --- University using C# • Structures System Analysis and Design • Business Telecommunications Minor courses: • Data Governance and Stewardship B.S. in Information Minneapolis, Data Analytics • Data Storage Strategies Capella University Technology, Minor in Online 120 credits --- MN Minor • Data Integration Data Analytics • ETL and Data Transformation • Data Mining and Analysis in Information Technology • -C++ Programming • Database Fundamentals for Programmers • Introduction to Business Rasmussen Bloomington • Fundamentals of Data Analytics B.S. in Data Analytics None specified Online 120 credits --- College , MN • Data Quality in Analytics • Data Analysis and Optimization • Data Visualization Implementation and Communication

Data Science Institute - Concentration courses: B.S. in Statistics, Statistical sponsored by the Iowa • Computer Science II Concentration in Concentration University of Iowa Iowa City, IA Computing and On-campus Informatics Initiative and the • Data Structures Statistical Computing is 13 credits Data Science Iowa Social Science Research • Discrete Structures and Data Science Center • Research Data Management

13 Program Benchmarking – Bachelor’s Market Analysis: Data Science and Data Analytics

Bachelor’s Degrees in Data Analytics & Data Science Competitor Benchmarking, Continued Delivery Research Centers & Institution Location Program Specializations Credits Sample Core Courses Mode Funding Data Management and Concentration courses: B.S. in Analysis Core - funded • Introduction to Probability and University of Mathematics, Data Science Concentration through the Nebraska Statistics I & II Omaha, NE On-campus Nebraska - Omaha Concentration in Concentration is 15 credits Center for Integrated • Introduction to Data Science Data Science Biomolecular • Exploratory Data Visualization Communication and Quantification • System and Programming Security Center for Comparative • Artificial Intelligence • Software Engineering Effectiveness Analytics – • Cloud Computing University of Grand Forks, B.S. in Data • Information On-campus funded through • Introduction to Business Data 120 credits North Dakota ND Science Technology or online public/private Analytics • Game Development collaborations; government • Discrete Mathematics and Computer and foundations • Database Management Systems Animation • Data Mining • Data Warehousing • Descriptive Statistics Webster B.S. in Data On-campus • Business Mathematics St. Louis, MO None specified 128 credits --- University Analytics or online • Electronic Spreadsheet • Introduction to Business Technologies • Electronic Commerce • IT Foundations • Introduction to Communication • Network and Security – Foundations Western B.S. in Data • Scripting and Programming – Governors Clayton, MO Management/Dat None specified Online 120 credits --- Foundations University - WGU a Analytics • Web Development Foundations Missouri • Data Management – Foundations • Machine Learning • Data Visualization

14 Program Benchmarking – Master’s Market Analysis: Data Science and Data Analytics

Master’s Degrees in Data Analytics & Data Science Competitor Benchmarking

Institution Location Program Specializations Delivery Mode Credits Research Centers & Funding Sample Core Courses

• Introduction to Data Science • Introduction to Programming • Statistics for Data Science • Data Exploration and Analysis • Data Preparation M.S. in Data Science None specified Online 30 credits --- • Data Mining • Predictive Analytics • Data Presentation and Visualization Bellevue Bellevue, NE • Big Data University • Business Performance Management • Financial Reporting & Analysis • Human Capital & Organizational M.S. in Business None specified Online 36 credits --- Performance Analytics • Business Analysis for Decision Making • Marketing & New Media Strategy • Concepts of Data Mining • Applied Forecasting Minneapolis, • Text Mining Capella University M.S. in Analytics None specified Online 32 credits --- MN • Advanced Analytics and Modeling • Visual Analytics • Data Warehousing and Data • Business Mining • Healthcare • Programming for Data Analytics Dakota State analytics On-campus or Madison, SD M.S. in Analytics 30 credits --- • Big Data Analytics University • Information online • Statistical Programming systems • Modern Applied Statistics I • General • Modern Applied Statistics II

15 Program Benchmarking – Master’s Market Analysis: Data Science and Data Analytics

Master’s Degrees in Data Analytics & Data Science Competitor Benchmarking, Continued Delivery Institution Location Program Specializations Credits Research Centers & Funding Sample Core Courses Mode • Teams, Projects, and BA Leadership • Business Analytics Foundation Iowa State M.S. in Business Ames, IA None specified Blended 30 credits --- • Applied Statistical Modeling University Analytics • Marketing Analytics with Big Data • Advanced Business Analytics • Business Analytics • Data Management and Visual Data Science Institute - Analytics sponsored by the Iowa M.S. in Business • Advanced Analytics University of Iowa Iowa City, IA None specified On-campus 30 credits Informatics Initiative and the Analytics • Data Programming in R Iowa Social Science Research • Data Science Center • Analytics Experience • Business Communications • Biotechnology • Introduction to Data Science and • Geospatial (coming Analytics soon) • Statistical and Mathematical • High performance • Foundations for Data Analytics Informatics Institute – funded University of Columbia, MS in Data Science computing • Database and Analytics Blended 34 credits by AHRQ, NIH, NSF, USDA, and Missouri MO and Analytics • Human centered • Data Mining and Information industry partners design for data Retrieval • Strategic • Big Data Security communications • Big Data Visualization and data journalism • Data and Information Ethics • Financial Accounting • Managerial Marketing Data Management and Analysis • Supply Chain Management University of M.S. in Business Core - funded through the • Business Analytics Lincoln, NE None specified Online 30 credits Nebraska - Lincoln Analytics Nebraska Center for Integrated • Predictive Analytics Biomolecular Communication • Data Management and Organization • Risk and Simulation Modeling

16 Program Benchmarking – Master’s Market Analysis: Data Science and Data Analytics

Master’s Degrees in Data Analytics & Data Science Competitor Benchmarking, Continued

Institution Location Program Specializations Delivery Mode Credits Research Centers & Funding Sample Core Courses • Electronic Commerce Systems • Data Engineering and Center for Comparative Management Effectiveness Analytics – funded University of Grand Forks, On-campus or • Soft Computing: Computational M.S. in Data Science None specified 30 credits through public/private North Dakota ND online Intelligence collaborations; government and • Advanced Artificial Intelligence foundations • Security for Cloud Computing • Scientific Visualization • Fundamentals of Data Analytics • Statistics for Data Analytics Western • Data Mining and Analytics Governors Advanced Data Visualization Clayton, MO M.S. in Data Analytics None specified Online 32 credits --- University - WGU • Advanced SQL Missouri • Data Science Tools and Techniques • SAS Programming

Source. Institutional Websites (see embedded hyperlinks)

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