masters in data analytics

Explore the admissions requirements and then take the next step toward earning your master in data analytics online. Industry standard software is used to prepare data, develop and assess models, obtain predictions, and present results. In addition, various cloud vendor platforms are explored to learn how cloud computing is implemented in practice. Through Davenport’s master in data analytics online, you’ll develop expertise in data mining, data visualization and storytelling, cloud computing, predictive analysis and data warehousing. Assessment of model performance and methods for model selection are also covered. Cal Poly Orfalea College of Business (OCOB) Master of Science in Business Analytics program is an accelerated, interdisciplinary, and industry-relevant program that produces data-savvy business leaders who develop strategy informed by statistics, machine learning, econometrics, marketing analytics, and data management. Data mining and analysis projects will be used to provide working examples. The instructional approach in this course focuses on application-based reinforcement of concepts to include the use of simulations. Further, to ensure adequate practice, a minimum of 150 hours of career related work are required at the internship site as well as weekly progress reports, a written internship report and an oral presentation. This course covers statistical procedures used in data analytics with emphasis on hands-on practice. Take two online courses over 15-week semesters and finish in just 2.5 years. Davenport’s courses align with the Quality Matters (QM) rubric to ensure you’re receiving a high-quality online education. Students are allowed to transfer a maximum of eight graduate semester hours with a grade of B or better. To ensure you’re ready to rise to the top of the job market, our career-centered curriculum includes courses in data mining, predictive analysis, data visualization and communication and R programming. Using customized variations of the industry-standard CRISP-DM methodology, it will provide an experiential learning opportunity to explore all six phases of the model. This course will be a more advanced treatment of data mining and predictive analytics concepts introduced in DATA625 with a focus on customer relationship management (CRM). In recent years, there has been an explosion in demand for skilled data analysts, with starting salaries in … Cultivate the skills and knowledge for in-demand data analytics careers through the master in data analytics at Davenport University. With 100% online courses you’ll enjoy the flexibility you need as a working professional to balance your data analytics degree with your life. Students must complete two courses per 10-week term in order to graduate in 15 months. Students will select the techniques to be used in the study, collect and analyze data for the purpose of drawing conclusions and making recommendations to the decision makers of an organization. This 30-credit master’s degree is offered fully online through Davenport’s pioneering Global Campus and is available to those with or without data backgrounds. A key element of instruc-tion is an emphasis on communicating the practical implications of data analytics results to a non-technical audience in a timely manner. Prerequisite(s): Course may only be elected in the final semester of the program. Interested students must display an undergraduate GPA of 2.75 or higher or a graduate GPA of 3.0 or higher. The basics of R programming are introduced including software installation and configuration necessary for effective data analysis. The instructional approach in this course focuses on application-based introduction of programming concepts such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Students will be introduced to the concept of the data warehouse and the role it plays in an organization?s overall business intelligence and analytics strategy. The philosophy of modeling as well as common modeling methods and model adequacy assessment procedures are covered. There are a number of well-paying careers available to master’s in data analytics graduates in a variety of industries. Prerequisite(s): DATA710, This course covers statistical modeling in the use of statistical methods to develop models that can be used for predicting future numerical or categorical out-comes in processes for disciplines ranging from business to science. Course search and A-Z. Data analytics tools and techniques are used by a wide variety of industries to analyze vast datasets, extract information, develop predictive models, and make better decisions. Students will apply all of their theoretical and practical experience to design and execute an analytics project on a chosen topic as a culmination of their analytics program, thereby demonstrating competency of program learning outcomes. Generic programming language concepts are introduced and covered within the context of how they are implemented in practice when conducting high-level statistical analysis. In addition, students are required to contact The Office of Experiential Learning at least one semester prior to enrolling. 16% related employment growth projected through 2028 (U.S. Bureau of Labor & Statistics), Median annual wage for related careers in May 2019 (U.S. Bureau of Labor & Statistics), Job openings for data scientists in 2020 (Glassdoor), 30 credits vs traditional 36 saves you time and money. Davenport is a private, not-for-profit university with more than 150 years of experience preparing students for successful careers. Request more information or begin your application now. Master of Science - Data Analytics (30 credits). The need for highly knowledgeable and skilled data scientists and data analysts is skyrocketing as more and more companies adopt big data and analytics technologies. Prerequisite(s): DATA625. Occupations involving data science are expected to grow by 14% between 2014 and 2024, Economic Modeling Specialists Intl. A key component of instruction is an emphasis on analytical report writing and other ways to effectively present data analytic results. If you’re looking for something a little quicker, Davenport also offers three 12-credit data analytics certifications. Techniques examined emphasize applicability in multiple organizational sectors to include business, finance, human resources, healthcare, manufacturing, sport management, social services, education, non-profit, and government entities. A criminal background check and drug screening maybe required by the internship site. Note: Any unexcused non-attendance or dismissal from an internship, practicum, clinical or fieldwork experience will result in a grade of F. A $30.00 insurance fee and a $30.00 internship management fee are charged in this course. Note: A grade of B or better must be earned to pass this course successfully. This 30-credit master’s degree is offered fully online through Davenport’s pioneering Global Campus and is available to those with or without data backgrounds. Davenport’s admissions team is here to answer your questions. Graduates of Davenport’s data analytics master’s program work for top employers such as Fifth Third Bank, State of Michigan, Farmers Insurance, Spectrum Health and Steelcase. They’ll go beyond teaching you technical skills in data analytics to preparing you to communicate data analytics to nontechnical audiences. Please call us at 800.686.1600 or email us at info@davenport.edu. Data visualization and communication skills are taught using industry standard software. The instructional approach in this course focuses on application using hands-on projects to create reports and dashboards with high-impact visualizations of common data analyses to help in decision making. Students will be able to build a high-level plan for implementing a data warehouse in their organiza-tion or planning future changes to an existing warehouse if present. The Master of Science in Business Analytics (MS BUAN) program is a 36 semester-credit-hour STEM-designated (science, technology, engineering and math) degree program at the Naveen Jindal School of Management. Through the master in data analytics, you’ll learn from expert data analytics faculty who are industry-experienced data analysts and scientists. Prepare for a wide range of careers, including data manager, data analyst, consultant, business analyst, and market analyst. Students graduate with a unique combination of data science skills and business acumen to lead in an increasingly data-driven world. Prerequisite(s): DATA610, DATA667, DATA710, DATA728. You’ll receive in-depth, hands-on practice with real-world projects in data analytics — even online. Industry standard software is used to import and prepare data for model development as well as for developing various types of regression models. Minimum 2:1 honours degree in a numerate discipline (computer science, mathematics, economics, engineering, physics, chemistry). SNHU offers an accredited online master's in data analytics program that is designed for working students who cannot attend traditional classes. It’s easy to manage your data analyst master’s with your busy life. You can apply certificate credits directly to the full master in data analytics. Cover all the key areas of data analytics in just 30 credits through Davenport’s master in data analytics online. For more information and updates on COVID-19, please visit davenport.edu/coronavirus. The benefits of using data to optimize the decision-making process, including understanding the differences between various types of data, data formats, data warehouses and data marts. 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