Looking to freshen your résumé and improve your earning potential? You’re in exactly the right place at exactly the right time. As society places an increased emphasis on technology and the importance of accurate data, universities have been looking to improve their existing degree data and analytical degree programs and to create entirely new degrees offerings, both online and on-campus. We’ve listed 23 of these programs below.
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Some data science programs target fields such as:
Although plenty of universities offer a blend of evening, weekend and online classes, some of the programs mentioned here still require you to be present on-campus to complete your data science master’s degree. If seeking a local university, decide if you would like to attend an on-campus, hybrid, or online master’s in data science programs.
Unless you’re pursuing a doctorate, field experience is going to be one of the most important investments of your career. Look for data science programs that connect you to different industries, offer a variety of opportunities and numerous networking events.
The proof is in the numbers. If you can’t find it on the program’s website, ask about the percentage of data science, or related program, students who have received employment offers or promotions after they completed their program.
We interviewed 13 faculty members of universities and schools that offer data science programs. We asked:
As a result of their answers, we listed programs that had the following:
The online Master of Science in Applied Data Science at Syracuse University is an interdisciplinary program offered by the School of Information Studies and the Martin J. Whitman School of Management. The curriculum requires 36 credits, including electives that allow candidates to develop deep knowledge in their area of specialty. Students must compile a portfolio of projects to submit for faculty review. Online course content focuses on collaboration and includes face-to-face classes, project-based work, and 24/7 access to materials. Applicants must have a bachelor’s degree and must submit transcripts, a personal statement, resume, and two recommendations. No GRE Scores Required.
Enrollment Type: Full-Time and Part-Time
Length of Program: Complete in as few as 18 months
Credits: 34
The online Master of Science in Data Science from the University of Denver Ritchie School prepares students to build the tools that collect data and use evaluation strategies to make critical business, research, and policy decisions. The program is designed for students of all academic backgrounds and offers three bridge courses to provide them with the programming skills they need to start classes. A bachelor’s degree is required to apply.
Enrollment Type: Full-Time and Part-Time
Length of Program: As few as 18 months
Credits: 48
DataScience@SMU is an online Master of Science in Data Science program that prepares students with the fundamental skills needed to be sought-after data science leaders in a variety of industries. Our students learn from cross-disciplinary SMU faculty in online classrooms with a small student-to-professor ratio. DataScience@SMU students gain highly in-demand skills in working with unstructured data, big data processing, statistical analysis, text mining, machine learning, and business analytics.
Enrollment Type: Full-Time and Part-Time
Length of Program: Complete in as few as 20 months
Credits: 33.5
Designed for data science professionals, the UC Berkeley School of Information’s Master of Information and Data Science (MIDS) prepares students to derive insights from real-world data sets, using the latest tools and analytical methods to interpret and communicate their findings in ways that influence decision-making. The MIDS program features a rigorous, multidisciplinary curriculum focused on problem solving, preparing students to creatively apply methods of data collection, analysis, and presentation to address and solve problems in areas of human interest, government, and business.
Enrollment Type: Full-Time and Part-Time
Length of Program: As few as 12 months
Credits: 27
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 36
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Part-Time
Length of Program: 2 years
Credits: 36
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Computational Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1.3+ years
Credits: 144
Concentrations:Systems, Analytics, Human-Centered Data Science
Admission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time
Length of Program: 1+ years
Credits: 30
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Professional Studies in Applied Statistics
Enrollment Type: Full-Time and Part-Time
Length of Program: 1.5+ years
Credits: 30
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2+ years
Credits: 45
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Interdisciplinary Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2+ years
Credits: 42
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time
Length of Program: 1.5+ years
Credits: 36
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 33
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 30
Concentrations:Data analytics and visualization, Intelligent systems engineering, Cybersecurity
Admission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2+ years
Credits: 32
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Arts in Statistics – Data Science Track
Enrollment Type: Full-Time and Part-Time
Length of Program: N/A
Credits: 42
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Advanced Study in Data Science and Engineering
Enrollment Type: Part-Time
Length of Program: 2 years
Credits: 38
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 2 years
Credits: 25+
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Science in Data Science and Analytics
Enrollment Type: Full-Time and Part-Time
Length of Program: 2 years
Credits: 34
Concentrations:Geospatial, BioHealth Analytics, High Performance Computing, Human-Centered Science Design, Data Journalism/Strategic Communication
Admission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time
Length of Program: Less than 1 year
Credits: 32
Concentrations: N/AAdmission Requirements:
Name of Degree: Master of Science in Data Science
Enrollment Type: Full-Time and Part-Time
Length of Program: 1+ years
Credits: 36
Concentrations: N/AAdmission Requirements:
