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In this technology-driven world, being skilled in analyzing and interpreting data is one of the most employable skills presently. Many universities have acknowledged this as well and have brought out data science courses to cater to these modern-day technologies. In 2021, everyone witnessed a range of new educational initiatives coming out to upskill students as well as professionals in data science and now let's move on to 2022. Here is the list of the top 10 universities to apply for an MS Data Science degree in 2022.
Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering, the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry, and research organizations.
Through courses led by top faculty members at the School of Engineering & Applied Science and the School of Business, this program is conducted in small cohorts and covers topics in computer science, business analytics, and systems engineering while focusing on the foundations of analytics from a technical engineering perspective.
The M.S. in Data Science is offered jointly by the departments of Computer Science and Electrical and Computer Engineering.
The M.S. in Data Science is a program that may be completed in as little as one year of study, or at a student's own pace. Prerequisites for the M.S. in Data Science include a bachelor's degree in a STEM field, including Mathematics, Science, Engineering, Computer Science, or a related discipline. Applicants with bachelor's degrees in non-STEM fields can begin study with a Certificate in Data Science that, in an additional term or year, gives the applicant a sample of the program. The courses in the certificate, upon successful completion with a grade of B- or better and admission to the M.S. in Data Science, may be transferred to apply to the M.S. in Data Science program.
Prepare for the data-driven decision-making requirements of any industry at a leading US public institution with Michigan State University's 4-semester M.S. degree in Data Science. This new cross-cutting professional degree program shared by the College of Engineering and the College of Natural Science prepares students in fundamentals and applied topics, taught by leading faculty in data science, statistics, computer science, and computational mathematics. You can be part of the inaugural cohort with fall 2022 admissions.
Motivated by the challenge of helping to train current and future data scientists for the important work ahead, the University of San Diego offers this innovative, online degree program the Master of Science in Applied Data Science through USD's Shiley-Marcos School of Engineering. The master of applied data science program has been developed by data science experts in close collaboration with key industry and government stakeholders to provide in-depth practical and technical training designed to position graduates for career success in this vitally important and fast-growing field.
The Security Analyst specialization focuses on testing methods and techniques to effectively identify and mitigate risks to the security of a company's infrastructure while providing application and network-based security vulnerability assessments, pen testing, securing wireless networks including authentication, authorization, and encryption as per industry-accepted methods and protocols. By specializing as a Security Analyst, you will be trained in various domains, through specialized online ethical hacking and penetration testing courses.
Parsons' Master of Science in Data Visualization is a multidisciplinary program in which students develop skills bringing together visual design, computer science, statistical analysis, and ethical considerations of data analysis and representation. The presentation of data plays a critical role in the shaping of opinion, policy, and decision-making in today's increasingly global society. Giving students a competitive edge as they enter the field, the MS program responds to the increased demand for experts who can turn data into insight.
The Data Science program integrates scientific methods from statistics, computer science, and data-based business management to extract knowledge from data and drive decision-making. Its curriculum provides students with a rigorous course of study in big data technologies, applications, and practices a pathway for student internships and full-time employment. Graduates are prepared to meet the challenges at the intersection between big data, business analytics and other emerging fields.
The Master of Science in Data Analytics is a 30 credit-hour degree program at Nova Southeastern University's College of Computing and Engineering. Offered online and on-campus in South Florida, the Master of Science in Data Analytics program focuses on the application of concepts and methods central to data analytics, database management, data warehousing, data mining, data visualization, forecasting, and predictive modeling. The program incorporates creativity, vision, strategic planning, and technology for analytics and decision-making. This program blends theory and practice into a learning experience that develops skills applicable to complex, real-world problems and organizations.
Both its 12-credit certificate programs and its 30-36 credit Master of Science degree will prepare you to become an advanced analyst who can create and develop data sets and analytic protocols, communicate your analytic findings to leaders and general audiences, and ultimately participate in data-informed decision making. With the digital transformation of academia and the workforce, it is not surprising that data science and data analytics jobs are projected to grow at some of the fastest rates shortly.
The Master of Science (MS) in Data Science and Analytics will prepare students to transform data into information so that insight is gained for addressing real-world problems. The degree requirements consist of a core set of courses in statistical analysis, basic programming, machine learning, data extraction and transformation, and methods of data science. Students will also choose an Emphasis area in which a certificate will be awarded. Students may complete more than one Emphasis for certificate recognition.
