rasmussen.edu | 888-5-RASMUSSEN SCHOOL OF TECHNOLOGY Master of Science in Data Science Flex Choice Competency-Based Education Program | 11-Week Quarters (5.5-Week Terms) Master of Science Degree CAREER OPPORTUNITIES • Data Scientist • Data Engineer • Data Architect • Data Modeler • Data Analyst • Data Developer • Business Analyst OBJECTIVE The Rasmussen University Data Science Master’s Degree program provides students with hands-on experience, which allows them to apply knowledge and skills related to real-world business analysis applications. Courses are project-based and simulate actual experience with designing, performing, and delivering organizational analytical objectives, including the use of sophisticated and advanced analytical languages, tools, and algorithms. Students benefit from learning from highly qualified faculty who have practical, in-field experience. Graduates will understand how to explore and apply data science principles such as data engineering, analytical methodologies, analytical strategies, modeling, and communicating the chosen analytics design and results. This program’s curriculum is aligned to industry-standard analytics and software tools and languages, which gives an advantage to our graduates as they enter the career field. Authentic, real-world scenario assessments allow students to further apply industry-relevant knowledge and skills. Graduates are prepared to conduct deep analysis including the use of advanced statistics, artificial intelligence, and text mining on multi-formatted data sets as typified by big data sources. ACCEPTANCE REQUIREMENTS Applicants must submit the following: • Completed program application • Official transcript documenting a conferred bachelor’s degree with a cumulative GPA of 2.75 (no rounding) or higher from a regionally or nationally accredited institution of higher learning as recognized by the Department of Education or the Council on Higher Education Accreditation (CHEA). Applicants with a GPA of 2.5 (no rounding) to 2.74 may request an exception to the minimum 2.75 cumulative GPA requirement through the submission of a personal statement in the form of a written essay. Instructions and a scoring rubric for submitting a request for an exception may be obtained from the Admissions Advisor. The scoring of the committee will be final. • Demonstrate data analysis / data science experience through at least one of the following methods: • Bachelor’s degree in Data Analytics or Data Science • Bachelor’s degree in one of the following related fields: Information Systems, Information Technology, Information Security, Cyber Security, Systems Engineering, Network Administration, Network Security, Data Management, Computer Science, Web Programming, Software Engineering, Statistics, Accounting/Finance, Business Systems Analysis, Business Management, Game and Simulation Programming and either a specialization in Data Analytics / Data Science or at least one year of demonstrated* significant and recent experience in data analytics / data science. Additional related programs may be considered for admission at the discretion of the Rasmussen Department Chair based on a submitted request for review of the official transcript and program outcomes.* • Bachelor’s degree in an unrelated field and a resume showing at least two years of demonstrated* significant and recent experience in data analytics / data science, and either an Oracle BI or SAS certification earned in the past three years. • Bachelor’s degree in an unrelated field and a resume showing at least three years of demonstrated* significant and recent experience in data analysis / data science .* • Bachelor’s degree in an unrelated field and coursework completed in the last three years in each of the following: data analysis and visualization, object oriented programming, and C++ or an equivalent programming language.* 88 ALL CONTENT IS SUBJECT TO CHANGE BY ADDENDUM * When demonstrated significant and recent experience in data analytics/data science is required, the Department Chair will review the applicant’s resume to determine whether the entrance requirement has been met. Applicants who meet the acceptance requirements must complete the following prior to being deemed eligible for entrance into the program: • Rasmussen University enrollment agreement and attachments. • Any additional program-specific requirements as specified at the time of enrollment. Entrants will receive a letter from the University in the mail confirming acceptance once all acceptance requirements have been met. Accepted applicants must complete the Rasmussen experiential online orientation. CORE COURSES Graduate Division QMB 5000 Foundations of Data Science QMB 5100C Data Science Languages QMB 5200C Advanced Database Management QMB 5300C Statistical Methods QMB 5400C Fundamental Classification Techniques QMB 5500C Risk Assessment and Modeling Methods QMB 6000C Advanced Statistical Techniques QMB 6100C Advanced Machine Learning QMB 6200C Text Mining QMB 6300C Big Data Technologies QMB 6400C Data Visualization and Communication QMB 6900L Data Science Capstone Total Master’s Degree Credits All courses within this program are competency-based education (CBE) courses. This program is offered online in Illinois. 4 4 4 4 4 4 4 4 4 4 4 4 48
