ADDENDUM to the Rasmussen College Catalog 2018-2019 June 27, 2019 DATA SCIENCE MASTER’S DEGREE 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 College 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. ENTRANCE REQUIREMENTS: Applicants must submit the following: • Completed program application • Official transcript documenting conferral of a bachelor’s degree with a cumulative GPA of 3.0 or higher from a regionally or nationally accredited institution of higher learning as recognized by the U.S. Department of Education or the Council on Higher Education Accreditation (CHEA). • Demonstrate data analysis or data science experience through one of the following methods: o Bachelor’s degree in Data Analytics or Data Science. o 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 with specialization in Data Analytics/Data Science or at least one year of demonstrated significant and recent experience in data analytics/data science (see note). o 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 (see note), and either an Oracle BI or SAS certification earned in the past three years. o 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 (see note). o Note: 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 entrance requirements must complete the following prior to being deemed eligible for entrance into the program: • Rasmussen College enrollment agreement and attachments, and • Any additional program-specific requirements as specified at the time of enrollment. Entrants will receive a letter from the College in the mail confirming acceptance once all entrance requirements have been met. Accepted applicants must complete the Rasmussen experiential online orientation course. 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 4 4 4 4 4 QMB 5500C Risk Assessment and Modeling Methods 4 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 4 4 4 4 4 4 48 All courses within this program are competency-based education (CBE) courses. This addendum modifies catalog content as indicated, and supersedes all previous addenda. Page 45 / 47
