Online Master in Business Analytics (MSBA)

36
Credit Hours
1
Avg. Completion
Years

Class Type

100% online, 8-week courses

Transfer Credits

Transfer in up to 9 credits

Accreditation

WSCUC

Master of Science in Business Analytics (MSBA)

The curriculum is comprised of 36 semester credits (12 courses). Students will take 12 courses including nine (9) core courses and three (3) courses from one of the concentrations currently offered.

Core Requirements (27 Semester Credits)

Course Description

In this course students will explore the fundamentals of the business analytics process and concepts, from a business and managerial perspective. Special emphasis includes the influence of data analytics and big data within the organization and its strategic plan, associated analytics techniques, and business applications to include open source.

Credits

3

Course Description

This foundational course examines the security, privacy and ethical implications of business analytics. Students address challenges in the life cycle of data from data collection to data analysis. Students explore the associated implications of misuse of information and review legal and ethical policies in an ever changing environment in a variety of industries and business settings.

Credits

3

Course Description

The course introduces students to relational databases concepts, data warehousing, data management, the rise of big data, data mining, data warehousing, and modeling tools. Students will have exposure to a variety of systems and tools through applicable to various types of data, which enable them to effectively manage and apply actionable insight garnered from big data.

Credits

3

Course Description

In this course, students learn fundamental statistics useful in business analytics and the basic principles to develop data and hone analytical skills. Special emphasis includes the application of probability, common distribution, estimation, hypothesis testing, tests of differences, regression analysis and their uses for organizational decision-making.

Credits

3

Course Description

This course augments the fundamentals of statistics as students learn how to provide predictive analytics, forecasting and predictive modeling in decision making by using a variety of statistical tools such as regression analysis, data modeling and multivariate statistics. Students have an opportunity to explore predictive analytics and forecasting in a particular area of interest within an organization or industry.

Credits

3

Course Description

Students explore consumer analytics from datasets from a managerial perspective of Big Data’s influence on an organizations marketing activity. Utilizing data sets for practice, special emphasis is on data collection and storage of consumer activity, garnering consumer insights, and utilizes the insights to provide a competitive advantage within an organization.

Credits

3

Course Description

In this course, students utilize datasets to apply a variety of tools managers need to make decisions and create strategies based on actual data within a selected organization or industry. Special topics include but not limited to utilizing Big Data for investment decisions, application of simulation techniques, scenario analysis, resource allocation and decentralization/centralization in strategic managerial decision-making.

Credits

3

Course Description

In this course, students utilize hands on applications of tools of data visualization for a range of data types used in business analytics to communicate actionable insights and storytelling to convey business actions to various audiences in an organization or industry. Students receive real world data sets applicable to their visualization and communication assignment.

Credits

3

Course Description

The Capstone Course is the final course in the MS in Business Analytics program. Students develop a comprehensive assignment demonstrating mastery of the program learning outcomes and integrate all facets of business analytics by applying lessons learned in a real-world assignment.

Credits

3

Management Concentration Requirements (9 Semester Credits)

Course Description

In this course students will explore fundamental business analytic operations such as data collection and transformation useful for managerial decision making. Students learn about data analysis, optimization processes and desired goals that lend to an organization’s value chain across functional areas. Special emphasis is on the use of analytics to model the outcomes to better predict and plan during uncertainty in an ever changing global environment.

Credits

3

Course Description

Students will learn the concepts of Business Intelligence (BI) to support managerial decision making. Special emphasis is on concepts such as data warehousing, data integration, Business Intelligence, data mining, and visualization to convey results and strategies to a variety of audiences. Students examine real world case studies that address managerial problem solving and decision making that use applicable Business Intelligence tools such as dashboards, R, Python, business analytics, Google fusion tables and more.

Credits

3

Course Description

This course will allow students to utilize data sets to learn how to set goals, budgets, and expectations for business analytics projects. Students select areas for potential analytics projects, evaluate the feasibility of proposed projects, and conduct the six phases of the analytics project life cycle.

Credits

3

Marketing Concentration Requirements (9 Semester Credits)

Course Description

In this course, students examine marketing metrics in assessing financial effects on decision making in marketing, data interpretation, and trends applicable to managers in a variety of settings. Students apply metrics in decision making in fundamental marketing such as segmentation, targeting, positioning and evaluating and assessing strategic marketing plans. Special emphasis is on planning, implementation and ethical implications associated with effective marketing metric research for decision makers.

Credits

3

Course Description

In this course, students continue with utilizing hands on datasets and digital marketing analytical tools to transform data into actionable insights that can be used to support marketing decisions in organizations. Students will learn how to collect data, conduct appropriate quantitative analyses, and develop actionable insights to support marketing goals. Students explore contemporary digital marketing strategies to create a competitive advantage and enhance the return on investment (ROI) in an industry, sector or organization.

Credits

3

Course Description

This course provides students an overview of social marketing along with the analytics tools and strategic uses of social media from a managerial perspective. Students are introduced to the role of the evasive qualitative content acquired in social media marketing across a variety of means to include Internet, mobile applications, and web-based platforms. Students will use a mixed methods approach such as datasets and qualitative content to develop strategic social media analytics to develop marketing strategies to develop a competitive advantage in an organization, sector or industry.

Credits

3

WSCUC Accreditation

Touro University Worldwide is accredited by the WASC Senior College and University Commission (WSCUC). Touro College Los Angeles (Lander Campus) is a division of Touro University Worldwide.

For more information on WSCUC, visit www.wascsenior.org or write WSCUC at 985 Atlantic Ave., Suite 100, Alameda, CA 94501.