Data Science Programs in Indiana

The state of Indiana provides a number of strong educational programs in data science that are primarily available online. Outside of Indiana University's Master of Science in Data Science, most options require some sort of residency period on-campus.
Other higher education online and directly linked to Data Science is also offered at Notre Dame University and Saint Mary's in Notre Dame. Business Administration opportunities also exist at these universities, along with Valparaiso University with Business Intelligence certification and Purdue University with Business Analytics specialization.
Quick Overview of Indiana Data Science Degree Programs
Schools in Indiana with data science programs include:- Indiana University: M.S. in Data Science Online M.S. in Data Science Master of Science (M.S.) in Data Science Master of Science in Computer Science (M.S.) Online Master of Science in Computer Science (M.S.) Online MS in Business Analytics
- IUPUI: Fundamentals of Data Analytics Certificate
- Indiana University - Purdue University Indianapolis: Ph.D. in Data Science
- Purdue University: Bachelor of Science in Data Science
Featured Online Data Science Programs
University | Program | Admissions |
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MS in Data Science and Policy | Website |
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Master of Science in Data Analytics Engineering | Website |
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Master of Science in Data Analytics | Website |
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Master of Information and Data Science | Website |
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BS in Data Analytics | Website |
Click to see more Online Data Science Programs accepting applications
Available Online Data Science Programs for Indiana
Online Data Science Programs Based in IndianaUniversity | Program | Location |
---|---|---|
Indiana University |
Online M.S. in Data Science |
Online |
Indiana University |
Online Master of Science in Computer Science (M.S.) |
Online |
Indiana University |
Online MS in Business Analytics |
Online |
Saint Mary's College |
Master of Science in Data Science |
Online |
Saint Mary's College |
Master of Science in Data Science |
Campus |
University of Notre Dame |
Master of Science in Business Analytics |
Online |
University of Notre Dame |
Master of Science in Data Science |
Online |
Online Data Science Programs in Indiana
Indiana University
Students have various programs to choose from at Indiana University that relate to data science. Through the School of Informatics and Computing, there is a Master of Science in Data Science that can be completed online, on-campus in Bloomington, or a combination of both. The curriculum and faculty are the same regardless of the option chosen, just the delivery is different. There is an optional residency weekend at the Bloomington campus for students to meet face-to-face with faculty, other students, and professionals in the data science industry.
30 credits are divided up into 15 electives, 6 core credits, 6 domain area credits, and a culminating capstone project worth three credits. The four domain areas, or concentrations, to choose from are Data Analytics and Visualization, Intelligent Systems Engineering, Precision Health, and Cybersecurity. The school recommends prior coursework in Python and R programming, math, and probability, but there is a special Data Science Essentials course that can fulfill this need.
For those needing to acquire some new data science skills or accelerate their career, a Graduate Certificate in Data Science is also available online. The program can be completed between one to two years and requires any 12 credits of coursework from the full program. This offers flexibility for any specific career path.
An alternative to the Data Science degree is getting the Master of Science in Business Analytics through the Kelley School of Business. This gives students the ability to manipulate data and develop analytical models to make decisions that can improve the business. This also requires 30 credits to complete and it takes anywhere from 15 months to 3 years. There are two week-long residencies that are required during the program (before and after the core courses), which will give students the ability to meet with faculty, solve real-world business problems, and network with professionals.
University of Notre Dame
An online Master of Science in Data Science is offered through the College of Science at Notre Dame. Online classes will be both live in smaller sessions and in the evening to benefit those that are still working while taking the program. Part-time students should expect to complete the program within 21 months. The entire program can be completed online with the lone exception of a required immersion weekend on the South Bend campus at the beginning of the program each fall. Optional immersion weekends take place throughout the curriculum.
14 courses are taken to complete the degree and is completely structured without electives. A sampling of the courses include data security, probability and statistics, R and Python programming, ethics and policies, and data visualization. Case studies and projects with the latest in data science innovation take place toward the end of the program. An Executive Certificate in Data Science is a 10-week program that offers five live online courses with a combination of five days residency at the South Bend and Silicon Valley campuses.
Saint Mary's College
The Saint Mary's campus in Notre Dame offers a Master of Science in Data Science that is primarily completed online. All courses in the curriculum are available away from campus, but there is a short residency each year. 36 credits are required to complete the program -- 30 of them will be on coursework, three are reserved for the practicum, and the remainder are for more practicum experience or electives. Example courses offered are Applied Statistics, Database Systems, Professional and Technical Writing, Data Mining, and Research Methods.
Courses will have either live meetings or self-paced coursework, and how the lectures are distributed are completely up to the instructor, either with video conferencing technology or recorded videos. It is recommended for students to have a Windows or Mac-based computer with a webcam and microphone when required. This program requires students to have a Bachelor's degree or work experience in the data science field.
Scholarship Opportunities within Indiana
At Saint Mary's College, the Lilly Endowment Scholarship is given to graduate students enrolled in a Master of Science in Data Science with high academic achievement. This only qualifies to those who are a resident of the state of Indiana or have completed an undergraduate program at an Indiana university.
For those looking into a full-time MBA program at the Kelley School of Business in Bloomington, there is merit-based scholarship given to those that have high academic performance, GMAT scores, and professional experience. This award can be anywhere from $10,000 to full tuition. An additional fellowship in the school has awards that range from $7,500 to $30,00 each academic year.
Data Science Careers in Indiana
Indiana sits at 21st nationally for employment in the tech industry with well over 184,000 workers according to CompTIA.
Nearly half of this comes from the Indianapolis-Carmel-Anderson metro area and continues to grow at a steady pace. Jobs in IT services have seen a 3.2 percent year-over-year growth, but manufacturing has seen a 1.8 percent drop.
Average salary in the state is at $64,850, which is on par with neighboring Kentucky, but on the lower end when compared to most of the Midwest.
Data Science Events, Meetups, and Conferences in Indiana
Indy Big Data Conference
Indy Big Data Conference Website
Since 2014, this conference in Indianapolis covers the latest innovation in the data science field and how this can help any organization thrive. Different tracks attendees can observe are Advanced Technologies, Trust, the Internet of Things and Automation, and Infrastructure. Prior sponsors of the conference include Experian, Merrill Bank, and Geico.
Data Science Indy
Over 1,000 members are a part of this Indianapolis-based data science group that teaches and exchanges ideas and information on big data and analytics. They have had a steady monthly meetup in recent years with most of them happening on the second Wednesday of each month.
Indiana Data Science Career Statistics Information
Number of people employed within the tech industry: | 184,879 |
Change in jobs from 2017 to 2018: | 3,412 |
Average tech industry salary in Indiana: | $64,850 |
Estimated Indiana tech salaries range: | From $41,710 to $100,034 |
Male Employment: | 57,204 (67%) |
Female Employment: | 27,915 (33%) |
List of Indiana Data Science Programs
University | Program | Location |
---|---|---|
Indiana University School of Informatics, Computing, and Engineering |
M.S. in Data Science |
Bloomington |
Students explore subject matter in scraping data sources and analyzing information. Immersion weekends each spring at the campus provides application opportunities with other professionals. Incoming students should have background in math, probability, and Python and R programming. | ||
Indiana University School of Informatics, Computing, and Engineering |
Online M.S. in Data Science |
Bloomington |
Online data science program gives students education in foundational subject matter. Domain studies in cyber security, data analytics, precision health, and systems engineering. Electives further customize the program for a variety of job roles in the field. Course options including mining data from social media, public policy, and Python programming. | ||
Indiana University School of Informatics, Computing, and Engineering |
Master of Science (M.S.) in Data Science |
Bloomington |
Two different tracks in Applied Data Science, and Computational and Analytical concepts. Former topic dives into engineering and database design security, social policy, and more. Analytical focus emphasizes statistical theory and implementing models to develop data visualization. | ||
Indiana University School of Informatics, Computing, and Engineering |
Master of Science in Computer Science (M.S.) |
Bloomington |
Computer Science discipline divides a student's studies into many categories. Explores foundational concepts in computing and algorithm development. Core computer science courses required at the 500-level or higher. Also looks at operating systems, computer networks, and applying this toward an internship. | ||
Indiana University School of Informatics, Computing, and Engineering |
Online Master of Science in Computer Science (M.S.) |
Bloomington |
Many courses in the Computer Science discipline are available online. Examples include Database Concepts, Machine Learning, and Elements of Artificial Intelligence. Available online with limited requirements on-campus. Hybrid format provides on-campus and online experiences. | ||
Indiana University Kelley School of Business |
Online MS in Business Analytics |
Bloomington |
Online and on-campus formats of this program have the same curriculum requirements. Ability to develop advanced strategic plans through analyzing statistics and predictive modeling. Program requires between 15 months to 3 years of study based on enrollment. | ||
IUPUI School of Science |
Fundamentals of Data Analytics Certificate |
Indianapolis |
Explore theory in data science processes. Gain technical capability in using Excel, MySQL, R programming, and other common tools. Many courses offered through the Department of Computer and Information Science. | ||
Indiana University - Purdue University Indianapolis School of Informatics and Computing |
Ph.D. in Data Science |
Indianapolis |
Helps students prepare for advanced researching roles in academia. Also applicable to senior and executive level professionals for data scientists and analysts. While online courses are available, the full program is at the IUPUI campus. | ||
Purdue University College of Science |
Bachelor of Science in Data Science |
West Lafayette |
Contains Python programming, data algorithms, probability, and scraping data, and database organization. Students add two computer science electives and one statistical elective toward the major. | ||
Purdue University Department of Statistics |
Certificate in Applied Statistics |
West Lafayette |
Two of the four courses required explore topics in probability and statistical inference. Restricted electives that give an in-depth overview of analytical processes. Subjects include statistical methods, including surveying, multivariate analysis, and computational statistics. | ||
Purdue University Krannert School of Management |
Master in Business Analytics and Information Management |
West Lafayette |
Core coursework features communication, project management, and Excel and SAS software solutions. Remaining content includes business courses in strategy and logistics. There are restrictive big data and statistical electives, and further free electives. | ||
Purdue University Krannert School of Management |
MBA Specialization in Business Analytics |
West Lafayette |
Many MBA formats are available through Purdue University. Core subjects combine various specializations with online availability or over weekends on campus. Concentration covers the data mining processes and using spreadsheets for modeling and visualization. Requires an approved industry analytical practicum. | ||
Saint Mary's College Department of Mathematics and Computer Science |
Master of Science in Data Science |
Notre Dame |
Courses options include Database Systems, Project Management, Research Methods, and Data Science Communication. Admission into this program requires official transcripts and a professional resume. Also need at least one letter of recommendation and a detailed personal statement. | ||
Saint Mary's College Department of Mathematics and Computer Science |
Master of Science in Data Science |
Notre Dame |
Advanced concepts of data analytics with software solutions like SQL, Hadoop, and AWS. Prerequisites for the Data Science discipline include quantitative studies, calculus, and linear algebra. Further courses needed in college-level statistics and computer programming. | ||
Saint Mary's College Graduate Programs |
M.S. in Data Science |
Notre Dame |
Work with and understand complex or incomplete data sets for strategy and solutions. Requires yearly on-campus residencies. Courses are either on-demand lectures or live streaming with video conferencing software. | ||
University of Evansville Department of Mathematics |
Bachelor of Science in Statistics and Data Science |
Evansville |
Fundamentals of scraping data and determining data accuracy when analyzing information. Be able to work with tools such as Python and R programming, and BigQuery. Some course opportunities are only available every other term. Students must work with their academic advisor to develop a successful schedule plan. | ||
University of Notre Dame College of Science |
M.S. in Applied and Computational Mathematics and Statistics |
Notre Dame |
Explores Python and R programming, visualization methods, and ethical and policy considerations. Available online with average completion time of 21 months for part-time enrollment. Courses distributed in asynchronous format with small class sizes. | ||
University of Notre Dame Mendoza College of Business |
M.S. in Business Analytics |
Notre Dame |
Analytical and visualization topics when working with data. Students review ethical and legal issues and conclude with a capstone project. This program takes approximately 10 months on a full-time basis at the Notre Dame campus. Incoming students should have prior coursework in accounting, marketing, and statistics. | ||
University of Notre Dame Mendoza College of Business |
Master of Science in Business Analytics |
Notre Dame |
Complete the MSBA program at the South Bend campus or during the weekend at the Chicago location. Immersion experiences required at the South Bend location for the Chicago format. Both of these programs have an estimated completion time of one year. | ||
University of Notre Dame College of Science |
Master of Science in Data Science |
South Bend |
Students complete 14 courses for the Data Science discipline. Subject matter in Python and R programming, database integrity, visualization, and ethics/policy. Prerequisites include college-level calculus, linear algebra, and at least some experience with programming. | ||
University of Notre Dame College of Science |
Master of Science in Data Science |
Notre Dame |
14 courses complete the graduate data science program. Analytical topics combine with how to communicate results with other employees. Looks at database design and latest innovations within the data science field. | ||
Valparaiso University College of Business |
Bachelors of Arts in Business Analytics |
Valparaiso |
Curriculum requires general education, business topics, and business analytics courses within the major. Along with traditional academics, students apply education to an internship or full-time opportunity. | ||
Valparaiso University Interdisciplinary |
Bachelors of Science in Data Science |
Valparaiso |
Foundational topics in data analytics and mining. More specialized courses include Scientific Visualization, Computational Linear Algebra, and Applied Data Science. Career opportunities with this degree include financial analyst, marketing manager, or system architect. | ||
Valparaiso University The Graduate School and Continuing Studies |
M.S. in Analytics and Modeling |
Valparaiso |
Gives students statistical analysis concepts, modeling, and ethical standards in the core curriculum. Includes computational science course, various electives, and a capstone project. Project need features an internship, research assignment, or thesis. Can complete in one year for those that have taken an undergraduate program in analytics. |